Updated on 2023/12/26

写真a

 
KOEPPEN Mario
 
Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 12

Citation count denotes the number of citations in papers published for a particular year.

Affiliation
Faculty of Computer Science and Systems Engineering Department of Computer Science and Networks
Job
Professor
E-mail
メールアドレス
Laboratory
680-4 Kawazu, Iizuka-shi, Fukuoka
Phone
+81 948 29 7945
Fax
+81 948 29 7946
External link

Research Interests

  • Image Processing

  • Soft Computing

  • Computational Intelligence

  • Security Technologies

  • (Multi-Objective) Optimization

  • Algorithm Theory

  • Pattern Recognition

Post Graduate Education

  • 2005.03   Technical University Berlin   Mechanical Engineering and Transport System   Computer Science   Doctoral Program   Completed   Germany

  • 1990.03   Humboldt University Berlin   Faculty of Physics   Physics   Master's Course   Completed   Germany

Degree

  • Technical University Berlin  -  Ph.D.   2005.07

Biography in Kyutech

  • 2019.04
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Computer Science and Networks   Professor  

  • 2013.04
    -
    2019.03
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Creative Informatics   Professor  

  • 2008.06
    -
    2013.03
     

    Kyushu Institute of Technology   Network Design Research Center   Professor  

Papers

  • A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms Reviewed International journal

    Pamucar D., Deveci M., Gokasar I., Tavana M., Köppen M.

    Technological Forecasting and Social Change   182   2022.09

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    DOI: 10.1016/j.techfore.2022.121778

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  • Prioritizing transport planning strategies for freight companies towards zero carbon emission using ordinal priority approach Reviewed International journal

    Pamucar D., Deveci M., Gokasar I., Martínez L., Köppen M.

    Computers and Industrial Engineering   169   2022.07

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    DOI: 10.1016/j.cie.2022.108259

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  • Implementing a Hand Gesture Recognition System Based on Range-Doppler Map Reviewed International journal

    Jhaung Y.C., Lin Y.M., Zha C., Leu J.S., Köppen M.

    Sensors   22 ( 11 )   2022.06

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/s22114260

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  • Supporting farming smart documentation system by modular blockchain solutions Reviewed International journal

    Arsyad, A. A., Widayat, I. W., & Köppen, M.

    Decision Making: Applications in Management and Engineering   5 ( 1 )   1 - 26   2022.03

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  • SUPPORTING FARMING SMART DOCUMENTATION SYSTEM by MODULAR BLOCKCHAIN SOLUTIONS Reviewed International journal

    Arsyad A.A., Widayat I.W., Köppen M.

    Decision Making: Applications in Management and Engineering   5 ( 1 )   1 - 26   2022.01

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.31181/dmame0326022022a

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  • Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model Reviewed International journal

    Deveci M., Pamucar D., Gokasar I., Koppen M., Gupta B.B.

    IEEE Transactions on Intelligent Transportation Systems   2022.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1109/TITS.2022.3186294

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  • Calibration Cost Reduction of Indoor Localization Using Bluetooth Low Energy Beacon Reviewed International journal

    As M., Shimizu H., Benaissa B., Yoshida K., Koppen M.

    Journal of Advanced Computational Intelligence and Intelligent Informatics   26 ( 1 )   97 - 106   2022.01

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    DOI: 10.20965/jaciii.2022.p0097

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  • Blockchain Simulation Environment on Multi-image Encryption for Smart Farming Application Reviewed International journal

    Widi Widayat I., Köppen M.

    Lecture Notes in Networks and Systems   312   316 - 326   2022.01

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    DOI: 10.1007/978-3-030-84910-8_33

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  • A Genetic Algorithm for Parallel Unmanned Aerial Vehicle Scheduling: A Cost Minimization Approach Reviewed International journal

    Mantau A.J., Widayat I.W., Köppen M.

    Lecture Notes in Networks and Systems   312   125 - 135   2022.01

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    DOI: 10.1007/978-3-030-84910-8_14

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  • Behavior selection metaheuristic search algorithm for the pollination optimization: A simulation case of cocoa flowers Reviewed

    Syafruddin W.A., Paweroi R.M., Köppen M.

    Algorithms   14 ( 8 )   2021.08

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/a14080230

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  • A Genetic Algorithm for Parallel Unmanned Aerial Vehicle Scheduling: A Cost Minimization Approach Reviewed

    Mantau, A.J., Widayat, I.W., Köppen, M.

    Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems   312   2021.08

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  • Blockchain Simulation Environment on Multi-image Encryption for Smart Farming Application Reviewed International journal

    Widi Widayat, I., Köppen, M.

    Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems   312   2021.08

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  • Behavior Selection Metaheuristic Search Algorithm for the Pollination Optimization: A Simulation Case of Cocoa Flowers Reviewed International journal

    Syafruddin, Willa A., Rio M. Paweroi, and Mario Köppen

    Algorithms   14 ( 8 )   230   2021.07

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  • Design and implementation of lora based iot scheme for Indonesian rural area Reviewed

    Prakosa S.W., Faisal M., Adhitya Y., Leu J.S., Köppen M., Avian C.

    Electronics (Switzerland)   10 ( 1 )   1 - 12   2021.01

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    Language:English   Publishing type:Article, review, commentary, editorial, etc. (other)

    DOI: 10.3390/electronics10010077

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  • An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions Reviewed

    Saraji M.K., Mardani A., Köppen M., Mishra A.R., Rani P.

    Artificial Intelligence Review   2021.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1007/s10462-021-10029-9

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  • An Empirical Investigation on Evolutionary Algorithm Evolving Developmental Timings Reviewed

    Kei Ohnishi, Kouta Hamano and Mario Köppen

    International Journal of Electronics ( MDPI )   9 ( 11 )   1 - 27   2020.11

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    Recently, evolutionary algorithms that can efficiently solve decomposable binary optimization problems have been developed. They are so-called model-based evolutionary algorithms, which build a model for generating solution candidates by applying a machine learning technique to a population. Their central procedure is linkage detection that reveals a problem structure, that is, how the entire problem consists of sub-problems. However, the model-based evolutionary algorithms have been shown to be ineffective for problems that do not have relevant structures or those whose structures are hard to identify. Therefore, evolutionary algorithms that can solve both types of problems quickly, reliably, and accurately are required. The objective of the paper is to investigate whether the evolutionary algorithm evolving developmental timings (EDT) that we previously proposed can be the desired one. The EDT makes some variables values more quickly converge than the remains for any problems, and then, decides values of the remains to obtain a higher fitness value under the fixation of the variables values. In addition, factors to decide which variable values converge more quickly, that is, developmental timings are evolution targets. Simulation results reveal that the EDT has worse performance than the linkage tree genetic algorithm (LTGA), which is one of the state-of-the-art model-based evolutionary algorithms, for decomposable problems and also that the difference in the performance between them becomes smaller for problems with overlaps among linkages and also that the EDT has better performance than the LTGA for problems whose structures are hard to identify. Those results suggest that an appropriate search strategy is different between decomposable problems and those hard to decompose.

    DOI: 10.3390/electronics9111866

  • Feature Extraction for Cocoa Bean Digital Image Classification Prediction for Smart Farming Application Reviewed International journal

    Yudhi Adhitya, Setya Widyawan Prakosa, Mario Köppen and Jenq-Shiou Leu

    International Journal of Agronomy, ( MDPI )   10(11) ( 1642 )   1 - 16   2020.10

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    The implementation of Industry 4.0 emphasizes the capability and competitiveness in agriculture application, which is the essential framework of a country’s economy that procures raw materials and resources. Human workers currently employ the traditional assessment method and classification of cocoa beans, which requires a significant amount of time. Advanced agricultural development and procedural operations differ significantly from those of several decades earlier, principally because of technological developments, including sensors, devices, appliances, and information technology. Artificial intelligence, as one of the foremost techniques that revitalized the implementation of Industry 4.0, has extraordinary potential and prospective applications. This study demonstrated a methodology for textural feature analysis on digital images of cocoa beans. The co-occurrence matrix features of the gray level co-occurrence matrix (GLCM) were compared with the convolutional neural network (CNN) method for the feature extraction method. In addition, we applied several classifiers for conclusive assessment and classification to obtain an accuracy performance analysis. Our results showed that using the GLCM texture feature extraction can contribute more reliable results than using CNN feature extraction from the final classification. Our method was implemented through on-site preprocessing within a low-performance computational device. It also helped to foster the use of modern Internet of Things (IoT) technologies among farmers and to increase the security of the food supply chain as a whole.

    DOI: 10.3390/agronomy10111642

  • Smart Watering System Based on Framework of Low-Bandwidth Distributed Applications (LBDA) in Cloud Computing Reviewed International journal

    Nurdiansyah Sirimorok, Mansur As, Kaori Yoshida and Mario Köppen

    In Proceedings of the 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020). ( Springer, Cham )   1263   447 - 459   2020.08

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    Victoria, Canada   2020.08.31  -  2020.09.02

    The estimation of soil moisture content is required for agriculture, mainly to build the irrigation scheduling model. In this study, we present a smart watering system to deal with various factors derived from the stochastic information in the agricultural operational, i.e., air temperature, air humidity, soil moisture, soil temperature, and light intensity. The methodology consists of exploiting the Internet of Things (IoT) using Low-Bandwidth Distributed Applications (LBDA) in cloud computing to integrate the real data sets collected by the several sensor technologies. We conducted experiments for the watering system used two types of soil and different plant. Here, the Long Short Term Memory Networks (LSTMs) approach in deep learning techniques used to build smart decisions concerning watering requirements and deal with heterogeneous information coming from agricultural environments. Results show that our models can effectively improve the prediction accuracy for the watering system over various soil and plants.

    DOI: 10.1007/978-3-030-57796-4_43

    Other Link: https://link.springer.com/chapter/10.1007%2F978-3-030-57796-4_43

  • Identification and Classification of Sashimi Food Using Multispectral Technology Reviewed International journal

    Ismail Parewai, Mansur As, Tsunenori Mine and Mario Köppen

    Proceedings of the 2020 2nd Asia Pacific Information Technology Conference ( Association for Computing Machinery (ACM) New York, USA )   73 - 77   2020.01

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    Indonesia   2020.01.17  -  2020.01.19

    Food quality inspection is an essential factor in our daily lives. Food inspection is analyzing heterogeneous food data from different sources for perception, recognition, judgment, and monitoring. This study aims to provide an accurate system in image processing techniques for the inspection and classification of sashimi food damage based on detecting external data. The external texture was identified based on the visible and invisible system that was acquired using multispectral technology. We proposed the Grey Level Co-occurrence Matrix (GLCM) model for analysis of the texture features of images and the classification process was performed using Artificial Neural Network (ANN) method. This study showed that multispectral technology is a useful system for the assessment of sashimi food and the experimental also indicates that the invisible channels have the potential in the classification model, since the hidden texture features that are not clearly visible to the human eye

    DOI: 10.1145/3379310.3379317

  • Identification and Classification of Sashimi Food Using Multispectral Technology Reviewed International journal

    Ismail Parewai, Mansur As, Tsunenori Mine, and Mario Koeppen

    Proceedings of the 2020 2nd Asia Pacific Information Technology Conference (APIT 2020) ( Association for Computing Machinery )   66 - 72   2020.01

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  • Blockchain Scheme Based on Evolutionary Proof of Work Reviewed

    Willa Ariela Syafruddin, Sajjad Dadkhah and Mario Köppen

    2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings   771 - 776   2019.06

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    © 2019 IEEE. In recent years, applications of the Blockchain concept, esp. as ledger for bitcoin transactions, has already resulted in huge amounts of wasted electrical energy for performing the Proof-of-Work tasks (cryptographic puzzles). Here, we consider an alternative concept to have this energy used at least for a useful purpose, the solution of real-world optimization problems. By means of the Traveling Salesperson Problem as model problem, we propose a concept to use optimization algorithms in an iterative manner to provide the Proof-of-Work needed to expand the Blockchain by a new block. The basic idea is to improve the tour cost for the best tour found for block n, extended by adding one more city, as a requirement for the inclusion of a new block in the Blockchain. This allows for the design of limited Blockchains, solving the underlying combinatorial optimization problems at the same time. Independently, it calls in for new efficient optimization algorithms and can serve as a real-world contest. It is discussed that metaheuristic algorithms perform an attractive class of optimization algorithms that can be used for the proposed approach. Numerical experiments also demonstrate the growth in problem complexity being handled by a binary PSO, which is a basic requirement for the full concept to work in practice.

    DOI: 10.1109/CEC.2019.8790128

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  • Updatable indoor localization based on BLE signal fingerprint Reviewed

    Benaissa B., Yoshida K., Koppen M., Hendrichovsky F.

    Proceedings of the 2018 International Conference on Applied Smart Systems, ICASS 2018   2019.02

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/ICASS.2018.8652035

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  • Two-Factor Blockchain for Traceability Cacao Supply Chain Invited Reviewed

    Arsyad A.A., Dadkhah S., Köppen M.

    Lecture Notes on Data Engineering and Communications Technologies   23   332 - 339   2019.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-3-319-98557-2_30

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  • Crack identification using extended IsoGeometric analysis and particle swarm optimization Invited Reviewed

    Khatir S., Wahab M., Benaissa B., Köppen M.

    Lecture Notes in Mechanical Engineering   210 - 222   2019.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-981-13-0411-8_21

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  • Convolutional Neural Network Application in Smart Farming Reviewed

    Yudhi Adhitya, Setya Widyawan Prakosa, Mario Köppen and Jenq Shiou Leu

    Communications in Computer and Information Science   1100   287 - 297   2019.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-981-15-0399-3_23

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  • Entropy Analysis of Questionable Text Sources by Example of the Voynich Manuscript Reviewed

    Natsuki Kouyama and Mario Köppen

    Communications in Computer and Information Science   1100   3 - 13   2019.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-981-15-0399-3_1

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  • An Efficient Replay Method to Prevent SURF-Based Face Detection Invited Reviewed

    Dadkhah S., Koppen M., Sadeghi S., Yoshida K.

    Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018   18 - 25   2018.12

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/APWConCSE.2018.00012

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  • An efficient ward-based copy-move forgery detection method for digital image forensic Reviewed

    2017-December   1 - 6   2018.07

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/IVCNZ.2017.8402472

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  • Phone Application for Indoor Localization Based on Ble Signal Fingerprint Reviewed

    2018-January   1 - 5   2018.03

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/NTMS.2018.8328729

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  • Bad Ai: Investigating the Effect of Half-Toning Techniques on Unwanted Face Detection Systems Reviewed

    Dadkhah S., Köeppen M., Sadeghi S., Yoshida K.

    2018 9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 - Proceedings   2018-January   1 - 5   2018.03

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    DOI: 10.1109/NTMS.2018.8328726

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  • Does the Jaya algorithm really need no parameters? Invited Reviewed

    Syafruddin W.A., Köppen M., Benaissa B.

    IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence   264 - 268   2018.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.5220/0006960702640268

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  • Fairness aspects of secondary radio spectrum access Reviewed

    Köppen M., Tsuru M.

    Lecture Notes on Data Engineering and Communications Technologies   8   445 - 455   2018.01

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    DOI: 10.1007/978-3-319-65636-6_40

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  • Activity and Emotion Recognition for Elderly Health Monitoring Reviewed

    Brahim Benaissa, Mario Köppen and Kaori Yoshida

    International Journal of Affective Engineering ( Japan Society of Kansei Engineering )   17(2)   81 - 88   2017.11

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    The problems facing elderly who are living independently, are considered to be one of the most important motivations of the activity recognition research. The advances in sensing technologies allow collecting several types of data and communicate it wirelessly. However, most existing activity recognition systems requires pre-calculated pattern recognition models. This paper lays the theoretical foundations of a real-time methodology for activity and emotional recognition based on body and environment sensors simultaneously, then tackles one aspect of the method which is the path estimation using chest-mounted IMU sensor, for which a zero velocity update criteria is proposed. Finally path estimation results for sitting down, laying down, falling down and standing up are discussed.

    DOI: 10.5057/ijae.IJAE-D-17-00020

  • Application of proper orthogonal decomposition and radial basis functions for crack size estimation using particle swarm optimization Reviewed

    842 ( 1 )   2017.06

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1088/1742-6596/842/1/012014

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  • Detecting malicious URLs using machine learning techniques Reviewed

    2017.02

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    DOI: 10.1109/SSCI.2016.7850079

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  • Electromagnetismlike mechanism descriptor with fourier transform for a passive copy-move forgery detection in digital image forensics Reviewed

    2017-January   612 - 619   2017.01

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  • Non-swarm intelligence search algorithm based on the foraging behaviors of fruit flies Reviewed

    1509 - 1516   2016.11

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/CEC.2016.7743968

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  • Applied Soft Computing: Preface Invited Reviewed

    Polat K., Asyali M., Muthusamy H., Rajendra Acharya U., Köppen M.

    Applied Soft Computing Journal   37   939 - 941   2015.12

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    Language:English   Publishing type:Article, review, commentary, editorial, etc. (other)

    DOI: 10.1016/j.asoc.2015.08.022

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  • Neural Signature of Efficiency Relations Reviewed

    Basterrech, Sebastian and Ohnishi, Kei and Koppen, Mario

    Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on   2090 - 2095   2015.10

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    Hong Kong   2015.10.09  -  2015.10.12

    DOI: 10.1109/SMC.2015.365

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  • Message from the ADMNET 2015 Workshop Organizers Reviewed

    Nariyoshi Yamai, Mario Köppen and Youngseok Lee

    Published in: 2015 IEEE 39th Annual Computer Software and Applications Conference ( IEEE )   3   2015.09

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    Taichung, Taiwan   2015.07.01  -  2015.07.05

    The ADMNET workshop series is focusing on the discussion of the advance of the state-of-the-art, research and development in the area of architecture, design, deployment and management of networks and Internet-based applications. This workshop is also a forum for designers, developers and administrators of the networks and applications. ADMNET covers a wide field of topics such as Network Architecture and Design, QoS, Scalability Solutions, Fairness, Optimality, and other aspects of Network Resource Sharing, Network Deployment, Management and Operation, Network Security, Network Applications and their Operation, Meta-Heuristics and Soft Computing Approaches for Networking Technologies, Network Metrics, Network Growth and Percolation Models, Modeling of Users and Network-Based Services, Digital Convergence, ITIL, User Policy and Service Level Agreements, Computer Ethics and Education.

    DOI: 10.1109/COMPSAC.2015.294

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  • Mutation-based receiver search in a network for temporary information sharing Reviewed

    1535 - 1542   2015.09

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/CEC.2015.7257070

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  • Zonal fairness in wireless infrastructure Reviewed

    Köppen, Mario and Tsuru, Masato

    New Technologies, Mobility and Security (NTMS), 2015 7th International Conference on   2015.07

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    France   Paris   2015.07.27  -  2015.07.29

    DOI: 10.1109/NTMS.2015.7266534

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  • Morphogenetic and evolutionary approach to similar image creation Reviewed

    316   331 - 340   2015.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1007/978-3-319-10783-7_36

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  • Ensemble relations for resource allocation tasks Reviewed

    Köppen, Mario and Ohnishi, Kei and Tsuru, Masato

    Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on   129 - 133   2014.11

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    Japan   Okinawa   2014.11.27  -  2014.11.29

    DOI: 10.1109/ISDA.2014.7066256

    Scopus

  • A Fairness Relation Based on the Asymmetric Choquet Integral and Its Application in Network Resource Allocation Problems Reviewed

    Aoi Honda and Mario Köppen

    Journal of Applied Mathematics   2014.07

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    DOI: 10.1155/2014/725974

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    Other Link: http://www.hindawi.com/journals/jam/

  • Evolution Of Developmental Timing For Solving Hierarchically Dependent Deceptive Problems Reviewed

    8886   58 - 69   2014.01

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  • Significance Relations for the Benchmarking of Meta-Heuristic Algorithms Reviewed

    Mario Koeppen, Kei Ohnishi and Masato Tsuru

    2013 Intl. Conference on Intelligent Systems Design and Applications (ISDA 2013)   2013.12

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    Malaysia   2013.12.05  -  2013.12.08

    DOI: 10.1109/ISDA.2013.6920744

    Scopus

  • Multi-Jain Fairness Index of Per-Entity Allocation Features for Fair and Efficient Allocation of Network Resources Reviewed

    Mario Koeppen, Kei Ohnishi and Masato Tsuru

    5th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2013)   2013.09

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    China   2013.09.09  -  2013.09.11

    DOI: 10.1109/INCoS.2013.161

    Scopus

  • Parallel Evolutionary P2P Networking Technique Evaluating Network Topologies Sequentially Reviewed

    Kei Ohnishi and Mario Köppen

    COMPSAC 2013   2013.07

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    Japan   Kyoto   2013.07.22  -  2013.07.26

    DOI: 10.1109/COMPSACW.2013.99

    Scopus

  • Knaster Procedure for Proportional Fair Wireless Channel Allocation Reviewed

    Mario Koeppn, Kei Ohnishi

    2013 IEEE 37th Annual Computer Software and Applications Conference Workshops (COMPSAC 2013)   2013.07

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    Kyoto  

    DOI: 10.1109/COMPSACW.2013.100

    Scopus

  • Relational optimization and its application: From bottleneck flow control to wireless channel allocation Reviewed

    24 ( 3 )   413 - 433   2013.01

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  • Fairness-based parameter selection in multi-modal biometric authentication Reviewed

    979 - 985   2012.12

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    DOI: 10.1109/ISDA.2012.6416672

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  • Meta-heuristic approach to proportional fairness Reviewed

    5 ( 4 )   231 - 244   2012.11

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    DOI: 10.1007/s12065-012-0084-5

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  • Evolutionary linkage creation between information sources in P2P networks Reviewed

    5 ( 4 )   245 - 259   2012.11

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1007/s12065-012-0085-4

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  • Genetic Clustering Based on Segregation Distortion Caused by Selfish Genes Reviewed

    2012.09

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    DOI: 10.1109/ICSMC.2012.6377759

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  • A Benchmark for Evaluating Approximated Algorithms for Fair Wireless Channel Allocation Reviewed

    2012.09

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    DOI: 10.1109/iNCoS.2012.109

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  • A Relational Approach to Collaborative Fairness Reviewed

    2012.09

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    DOI: 10.1109/iNCoS.2012.92

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  • MASP - A Multi-Attribute Secretary Problem Approach to Multi-Objective Optimization with Fair Decision Maker Reviewed

    2012.08

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/ICGEC.2012.108

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  • Fuzzification of maxmin fairness relation based on subvector dominance degree Reviewed

    344 - 349   2010.12

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/INCOS.2010.45

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  • Interactive genetic algorithm for font generation system Reviewed

    2010.12

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  • Fuzzification of Maxmin Fairness Relation based on Subvector Dominance Degree Reviewed

    Mario Koppen,Kaori Yoshida and Masato Tsuru

    Proc. of 2nd International Conference on Intelligent Networking and Collaborative Systems (INCoS2010)   2010.11

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    2010.11  -  2010.11

  • Comparison of Evolutionary Multi-Objective Optimization Algorithms for the Utilization of Fairness in Network Control Reviewed

    Mario Koppen,Rodrigo Verschae,Kaori Yoshida and Masato Tsuru

    2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010)   2010.10

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    Language:English   Publishing type:Research paper (other academic)

    2010.10  -  2010.10

    DOI: 10.1109/ICSMC.2010.5641898

    Scopus

  • Partial user-supplied information and user modeling for improving QoS Reviewed

    Rodrigo Verschae,Mario Koppen and Kaori Yoshida

    Simulation Modelling Practice and Theory   19 ( 1 )   47 - 55   2010.04

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    DOI: 10.1016/j.simpat.2010.06.014

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  • Gestalt Aspects of Security Pattern Reviewed

    Computational Forensics: 4th International Workshop, IWCF 2010   2010.04

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    2010.04  -  2010.04

  • Evolutionary Routing-Path Selection in Congested Communication Networks Reviewed

    Mario Koeppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

    Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics   2224 - 2229   2009.10

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    America   San Antonio, TX   2009.10.11  -  2009.10.14

  • Differential Evolution with Polymorphic Schemes Reviewed

    Christian Veenhuis,Mario Koeppen

    Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics   1814 - 1819   2009.10

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    America   San Antonio, TX   2009.10.11  -  2009.10.14

  • Fairness-based Global Optimization of User-Centric Networks Reviewed

    Mario Koeppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

    2009 International Conference on Networked Computing   441 - 443   2009.08

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    South Korea   Seoul   2009.08.25  -  2009.08.27

  • Archiving Strategies for On-line Decision Making in Evolutionary Multi-Objective Optimization Reviewed

    Mario Koeppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

    Hybrid Intelligent Systems, 8th International Conference   465 - 470   2008.09

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    Spain   Barcelona   2008.09.10  -  2008.09.12

  • Evolutionary Approach to Maxmin-Fair Network-Resource Allocation Reviewed

    Mario Koeppen,Masato Tsuru,Yuji Oie

    Applications and the Internet, IEEE/IPSJ International Symposium   253 - 256   2008.08

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    Finland   Turku   2008.07.28  -  2008.08.01

  • User Modeling by Confabulation Theory Reviewed

    Mario Koeppen and Kaori Yoshida

    2008 IEEE Conference on Soft Computing in Industrial Applications   55 - 59   2008.06

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    Muroran   2008.06.25  -  2008.06.27

  • Auxiliary Objectives for the Evolutionary Multi-Objective Principal Color Extraction from Logo Images Reviewed

    Mario Koeppen,Yutaka Kinoshita and Kaori Yoshida

    2008 IEEE Congress on Evolutionary Computation (CEC08)   3536 - 3542   2008.06

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    Hong Kong   Hong Kong   2008.06.01  -  2008.06.06

  • Pattern Formation in Networks Inspired by Biological Development Reviewed

    Ohnishi,Kei,Yoshida,Kaori and Koeppen,Mario

    Arts and Technology   64 - 71   2008.04

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    DOI: 10.1007/978-3-642-11577-6_9

    Scopus

  • Image Enhancement through Intelligent Localized Fusion Operators in the Automated Visual Inspection of Highly Reflective Surfaces Reviewed

    Aureli Soria-Frisch and Mario Koeppen

    Information Fusion   9 ( 2 )   142 - 155   2008.04

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  • Heuristic Maxmin Fairness for the Wireless Channel Allocation Problem Reviewed

    Mario Koppen,Rodrigo Verschae,Kaori Yoshida,Masato Tsuru

    International Conference on Broadband, Wireless Computing, Communication and Applications   606 - 611   2008.04

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    2008.04  -  2008.04

    DOI: 10.1109/BWCCA.2010.141

    Scopus

  • Interactive Genetic Algorithm for Font Generation System Reviewed

    Kaori Yoshida,Yuta Nakagawa and Mario Koppen

    Proc. World Automation Congress (WAC2010)   2008.04

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    2008.04  -  2008.04

  • Evolutionary Multi-Objective Optimization of Particle Swarm Optimizers. Reviewed

    Christian Veenhuis,Mario Köppen and Raul Vicente Garcia

    2007 IEEE Congress on Evolutionary Computation   2273 - 2280   2007.09

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    Singapore   Singapore   2007.09.25  -  2007.09.28

  • Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization Reviewed

    Mario Koeppen and Kaori Yoshida

    Seventh International Conference on Hybrid Intelligent Systems (HIS'07)   156 - 161   2007.09

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    Germany   Kaiserslautern   2007.09.17  -  2007.09.19

  • Pareto-dominated Hypervolume Measure: An Alternative Approach to Color Morphology Reviewed

    Mario Koeppen and Katrin Franke

    Seventh International Conference on Hybrid Intelligent Systems (HIS'07)   234 - 239   2007.09

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    Germany   Kaiserslautern   2007.09.17  -  2007.09.19

  • Perception of image similarity considering Gestalt theory Reviewed

    Yutaka Kinoshita,Mario Koeppen,Kaori Yoshida

    International Conference of Soft Computing and Human Sciences 2007   2007.08

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    Kitakyushu   2007.08.02  -  2007.08.05

  • Gestalt Theory in Image Processing: A discussion paper Reviewed

    Mario Koeppen,Kaori Yoshida

    2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications (SMCia/07)   157 - 161   2007.08

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    Germany   Passau   2007.08.01  -  2007.08.03

  • Many-Objective Particle Swarm Optimization by Gradual Leader Selection Reviewed

    Mario Koeppen,Kaori Yoshida

    Proceedings of Intl. Conference on Adaptive and Natural Computing Algorithms (ICANNGA07)   323 - 331   2007.04

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    Poland   Warsaw   2007.04.11  -  2007.04.14

  • A framework for the adaptation of image operators Reviewed

    Mario Köppen and Raul Vicente-Garcia

    Genetic and Evolutionary Computation for Image Processing and Analysis   215 - 239   2007.04

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  • Substitute Distance Assignments in NSGA-II for Handling Many-Objective Optimization Problems Reviewed

    Mario Koeppen and Kaori Yoshida

    Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007   727 - 741   2007.03

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    Sendai   2007.03.05  -  2007.03.08

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Publications (Books)

  • Soft Computing in Data Science: Conference proceedings SCDS 2019, Iizuka, Japan, August 28–29, 2019

    Michael W. Berry, Bee Wah Yap, Azlinah Mohamed and Mario Köppen(Edit)

    Springer, Singapore  2019.08  ( ISBN:978-981-15-0398-6

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    This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019.
    The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on ​information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.

  • MEDES '18: Proceedings of the 10th International Conference on Management of Digital EcoSystems,Tokyo, Japan, September, 2018

    Richard Chbeir and Hiroshi Ishikawa and Kazutoshi Sumiya and Kenji Hatano and Mario Köppen(Edit)

    Association for Computing Machinery (ACM), New York, NY, United States  2018.09  ( ISBN:9781450356220

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    On behalf of the Organizing Committee, we welcome you to the 10th International Conference on Management of Emergent Digital EcoSystems (MEDES'18) hosted by the Tokyo Metropolitan University, Minami-Osawa campus, Tokyo/Japan. The 1st MEDES conference was organized in Lyon-France. Since then, it has always been technically supported by the ACM Special Group On Applied Computing (ACM SIGAPP and ACM SIGAPP.fr). After 10 years of continuous presence, this conference has become the premier forum for the dissemination of leading edge research in Digital Ecosystems. The MEDES conference series continues this tradition of bringing students, researchers and practitioners together to exchange and share their contributions related to various areas of the expanding universe of digital ecosystems. Previous events took place in Thailand (2017), France (2016), Brazil (2015), Saudi Arabia (2014), Luxembourg (2013), Ethiopia (2012), USA (2011), Thailand (2010), and France (2009).

  • Hybrid intelligence for social networks

    Banati H., Bhattacharyya S., Mani A., Köppen M.(Sole author)

    Hybrid Intelligence for Social Networks  2017.11  ( ISBN:9783319651392

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    Language:Japanese

    © Springer International Publishing AG 2017. All rights reserved. This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

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  • Computational Intelligence in Wireless Sensor Networks

    Ajith Abraham, Rafael Falcon, Mario Koeppen(Edit)

    Springer, Cham  2017.01 

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    This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from the spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors.

  • Soft Computing in Industrial Applications: Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications

    Snášel, Václav, Pavel Krömer, Mario Köppen, and Gerald Schaefer(Joint editor)

    2014.07  ( ISBN:978-3-319-00929-2

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  • Special Issue on Security-Aware and Data Intensive Low-Cost Mobile Systems, Mobile Networks and Applications

    Joanna Kolodziej, Martin Gilje Jaatun, Samee Ullah Khan, Mario Koeppen(Joint editor)

    Springer  2013.10 

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  • Soft Computing in Industrial Applications: Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications

    Vaclav Snasel, Pavel Kroemer, Mario Koeppen, Gerald Schaefer(Joint editor)

    Springer  2013.08  ( ISBN:978-3-319-00929-2

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  • Special Issue: Information Network Design, International Journal of Space-Based and Situated Computing

    Masaki Aida, Akira Arutaki, Mario Koeppen, Masato Tsuru(Joint editor)

    2013.08 

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  • Special Issue on Computational Intelligence in Computer Vision and Image Processing, IEEE Computational Intelligence Magazine (CIM)

    Mengjie Zhang, Mario Koeppen, Sergio Damas(Joint editor)

    IEEE CIS  2013.08 

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Conference Prsentations (Oral, Poster)

  • Network Fairnessの評価に関する研究

    第12回日本知能情報ファジィ学会九州支部学術講演会 

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    Event date: 2010.12   Language:Japanese  

  • 自己組織化マップを用いたアンケート結果の可視化と分析

    第9回日本知能情報ファジィ学会九州支部学術講演会予稿集 

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    Event date: 2007.12   Language:Japanese  

  • The Gestalt of Web-services

    Tutorial at 2007 International Conference on Next Generation Web Services Practices 

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    Event date: 2007.10.29 - 2007.10.31   Language:English  

  • 視覚認知に基づくWebインタフェースデザインに関する考察

    情報処理学会研究報告. HCI, ヒューマンコンピュータインタラクション研究会報告 

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    Event date: 2007.10   Language:Japanese  

Grants-in-Aid for Scientific Research

  • フェアネス理論に基づく高度中継ルータによるネットワーク資源制御

    Grant number:24650030  2012.04 - 2013.03   挑戦的萌芽研究

Activities of Academic societies and Committees

  • European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2021), as part of the EvoStar 2021   Program Committee Member  

    2021.04

  • The 5th International Conference on Soft Computing in Data Science (SCDS2019), Iizuka, Fukuoka, Japan, August 28-29, 2019.   Conference Chair  

    2019.08

  • 2019 International Conference on Platform Technology and Service (PlatCon-19), Jeju, Korea, January 28-30, 2019   General Chairs  

    2019.01