Department of Informatics & Computer Engineering

Paris A. Mastorocostas
Professor

PUBLISHED WORK

Journal papers

• S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A. Tsimpiris, D. Varsamis, Optimizing UAV-Based Inventory Detection and Quantification in Industrial Warehouses: A LiDAR-Driven Approach, WSEAS Transactions on Systems, vol. 23, pp. 121-127, 2024.

• S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A. Tsimpiris, D. Varsamis, Computational Techniques for Locating Industrial Products in Warehouses, Contemporary Engineering Sciences, vol. 163, no 1, pp. 71-79, 2023.

• I. Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour, A Spatial-Temporal Graph Convolutional Recurrent Network for Transportation Flow Estimation, Sensors, vol. 23, no 7534, pp. 1-25, 2023.

• G. Kandilogiannakis, P. Mastorocostas, A. Voulodimos, C. Hilas, Short-Term Load Forecasting of the Greek Power System Using a Dynamic Block-Diagonal Fuzzy Neural Network, Energies, vol. 16, no 4227, pp. 1-21, 2023.

• I. Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour, TDM-BERT: A Transformer-Based Model for Transportation Mode Detection, Electronics, vol. 12, no 581, pp. 1-17, 2023.

• S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A. Tsimpiris, D. Varsamis, Computational Techniques for Locating Industrial Products in Warehouses, Contemporary Engineering Sciences, vol. 16, no 1, pp. 71-79, 2023.

• N. Ellinas, M. Christidou, A. Vioni, J. Sig Sung, A. Chalamandaris, P. Tsiakoulis, P. Mastorocostas, Controllable Speech Synthesis by Learning Discrete Phoneme-level Prosodic Representations, Speech Communication, vol. 146, pp. 22-31, 2023.

• G. Kandilogiannakis, P. Mastorocostas, A. Voulodimos, ReNFuzz-LF: A Recurrent Neurofuzzy System for Short-Term Load Forecasting, Energies, vol. 15, no 3637, pp. 1-18, 2022.

• I. Drosouli, A. Voulodimos, G. Miaoulis, P. Mastorocostas, D. Ghazanfarpour, Transportation Mode Detection Using an Optimized Long Short-Term Model on Multimodal Sensor Data, Entropy, vol. 23, no 1457, pp. 1-20, 2021.

• G. Kandilogiannakis, P. Mastorocostas, D. Varsamis, C. Hilas, Neurofuzzy Modelling of Lung Sounds,” Contemporary Engineering Sciences, vol. 11, no 98, pp. 4879-4890, 2018.

• Κ. Evangelidis, T. Papadopoulos, K. Papatheodorou, P. Mastorocostas, C. Hilas, 3D Geospatial Visualizations: Animation and Motion Effects on Spatial Objects, Computers and Geoscience, vol. 111, pp. 200-212, February 2018.

• D. Varsamis, E. Outsios, P. Mastorocostas, A Hybrid Learning Algorithm for Locally Recurrent Neural Networks, Contemporary Engineering Sciences, vol. 11, no 1, pp. 1-13, 2018.

• P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, Telecommunications Call Volume Forecasting with a Block-Diagonal Recurrent Fuzzy Neural Network, Telecommunication Systems, vol. 63, no 1, pp. 15-25, 2016.

• D. Varsamis, N. Karampetakis, P. Mastorocostas, Transformations Between Two-Variable Polynomial Bases with Applications, Applied Mathematics & Information Sciences, vol. 10, no 4, pp. 1303-1311, 2016.

• S. Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas, Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm, IEEE Transactions on Geoscience and Remote Sensing, vol. 53, nο 10, pp. 5352-5376, October 2015.

• S. Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas, A Region-Based GeneSIS Segmentation Algorithm for Classification of Remotely Sensed Images, Remote Sensing, vol. 7, pp. 2474-2508, 2015.

• C. Hilas, P. Mastorocostas, I. Rekanos, Clustering of Telecommunications Users Profiles for Fraud Detection and Security Enhancement in Large Corporate Networks: A Case Study, Applied Mathematics & Information Sciences, vol. 9, no 4, pp. 1709-1718, 2015.

• D. Varsamis, N. Karampetakis, P. Mastorocostas, An Optimal Bivariate Polynomial Interpolation Basis for the Application of the Evaluation-Interpolation Technique, Applied Mathematics & Information Sciences, vol. 8, no 1, pp. 117-125, 2014.

• P. Mastorocostas, C. Hilas, SCOLS-FuM: A Hybrid Fuzzy Modeling Method for Telecommunications Time-Series Forecasting, Informatica, vol. 25, no 2, pp. 221-239, 2014.

• P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, A Block-Diagonal Recurrent Neural Network for Telecommunications Call Volume Forecasting, International Journal on Advances in Computing and Communication Technologies, vol. 3, iss. 1, pp. 7-11, 2013.

• P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, A Recurrent Neural Network-based Forecasting System for Telecommunications Call Volume, Applied Mathematics & Information Sciences, vol. 7, no 5, May, pp. 1643-1650, September 2013.

• C. Hilas, I. Rekanos, P. Mastorocostas, Change Point Detection in Time Series Using Higher Order Statistics: A Heuristic Approach, Mathematical Problems in Engineering, doi: 10.1155/2013/317613, June 2013.

• P. Mastorocostas, C. Hilas, ReNFFor: A Recurrent Neurofuzzy Forecaster for Telecommunications Data, Neural Computing and Applications, vol. 22, iss. 7-8, pp. 1727-1734, June 2013.

• P. Mastorocostas, C. Hilas, A Computational Intelligence-based Forecasting System for Telecommunications Time Series, Engineering Applications of Artificial Intelligence, vol. 25, iss. 1, pp. 200-206, February 2012.

• P. Mastorocostas, C. Hilas, A Block-Diagonal Recurrent Fuzzy Neural Network for System Identification, Neural Computing and Applications, vol. 18, no 7, pp. 707-717, October 2009.

• P. Mastorocostas, D. Stavrakoudis, J. Theocharis, A Pipelined Recurrent Fuzzy Model for Real-Time Analysis of Lung Sounds, Engineering Applications of Artificial Intelligence, vol. 21, iss. 8, pp. 1301-1308, December 2008.

• C. Hilas, P. Mastorocostas, Αn Application of Supervised and Unsupervised Learning Approaches to Telecommunications Fraud Detection, Knowledge-Based Systems, vol. 21, iss. 7, pp.721-726, October 2008.

• P. Mastorocostas, D. Varsamis, C. Hilas, C. Mastorocostas, A Generalized Takagi-Sugeno-Kang Recurrent Fuzzy-Neural Filter for Adaptive Noise Cancellation, Neural Computing and Applications, vol. 17, no 5-6, pp. 521-529, October 2008.

• P. Mastorocostas, Simulated Annealing Dynamic RPROP for Training Recurrent Fuzzy Systems, Advances in Fuzzy Sets and Systems, vol. 2, iss. 3, pp. 283-300, October 2007.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, A Dynamic Fuzzy Model for Processing Lung Sounds, IEE Electronics Letters, vol. 43, iss. 6, pp. 320-322, March 2007.

• P. Mastorocostas, J. Theocharis, A Dynamic Fuzzy-Neural Filter for Separation of Discontinuous Adventitious Sounds from Vesicular Sounds, Computers in Biology and Medicine, vol. 37, pp. 60-69, 2007.

• P. Mastorocostas, J. Theocharis, A Stable Learning Algorithm for Block-Diagonal Recurrent Neural Networks: Application to the Analysis of Lung Sounds, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 36, no 2, pp. 242-254, April 2006.

• P. Mastorocostas, A Recurrent Fuzzy Filter for the Analysis of Lung Sounds, Fuzzy Sets and Systems, vol. 157, iss. 4, pp. 578-594, February 2006.

• P. Mastorocostas, Resilient Back Propagation Learning Algorithm for Recurrent Fuzzy Neural Networks, ΙΕΕ Electronics Letters, vol. 40, no 1, pp. 57-58, January 2004.

• P. Mastorocostas, J. Theocharis, An Orthogonal Least Squares Method for Recurrent Fuzzy-Neural Modeling, Fuzzy Sets and Systems, vol. 140, iss. 2, pp. 285-300, December 2003.

• P. Mastorocostas, J. Theocharis, A Recurrent Fuzzy Neural Model for Dynamic System Identification, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 32, no 2, pp. 176-190, April 2002.

• P. Mastorocostas, J. Theocharis, V. Petridis, A Constrained Orthogonal Least Squares Method for Generating TSK Fuzzy Models: Application to Short-Term Load Forecasting, Fuzzy Sets and Systems, vol. 118, iss. 2, pp. 35-53, March 2001.

• P. Mastorocostas, Y. Tolias, J. Theocharis, L. Hadjileontiadis, S. Panas, An Orthogonal Least Squares-Based Fuzzy Filter for Real-Time Αnalysis of Lung Sounds, IEEE Transactions on Biomedical Engineering, vol. 47, no 9, pp. 1165-1176, September 2000.

• P. Mastorocostas, J. Theocharis, FUNCOM: A Constrained Learning Algorithm for Fuzzy Neural Networks, Fuzzy Sets and Systems, vol. 112, iss. 1, pp. 1-26, May 2000.

• P. Mastorocostas, J. Theocharis, S. Kiartzis, A. Bakirtzis, A Hybrid Fuzzy Modeling Method for Short Term Load Forecasting, Mathematics and Computers in Simulation, vol. 51, iss. 3-4, pp. 221-232, January 2000.

• P. Mastorocostas, J. Theocharis, A. Bakirtzis, Fuzzy Modeling for Short Term Load Forecasting Using an Orthogonal Least Squares Method, ΙΕΕΕ Transactions on Power Systems, vol. 14, no 1, pp. 29-36, February 1999.

• N. Margaris, P. Mastorocostas, On the Nonlinear Behaviour of the Analog Phase Locked Loop: Synchronization, IEEE Transactions on Industrial Electronics, vol. 43, no 6, pp. 621-629, December 1996.

• P. Mastorocostas, C. Hilas, Lecture Notes in Electrical Engineering (Emerging Trends in Computing, Informatics, Systems Science, and Engineering), vol. 151, Springer, 2012.

• P. Mastorocostas, C. Hilas, Lecture Notes in Computer Science, vol. 6675, Springer, 2011.

• P. Mastorocostas, C. Hilas, Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, Editor: K. Elleithy, Springer, 2008.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, Lecture Notes in Computer Science, vol. 4669, Springer, 2007.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, Advances and Innovations in Systems, Computing Sciences and Software Engineering, Editor: K. Elleithy, Springer, 2007.

• P. Mastorocostas, J. Theocharis, S. Kiartzis, A. Bakirtzis, Computational Intelligence in Systems and Control Design and Applications, Editor: S.G. Tzafestas, Kluwer Academic Publishers, 2000.

• I. Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour, A Graph Neural Network Based Learning Model for Urban Metro flow Prediction, Proceedings of 22nd International Conference on Machine Learning and Applications, Florida, USA, December 2023.

• S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A. Tsimpiris, D. Varsamis, Emotions-Based Disaster Tweets Classification: Real or Fake, 7^th International Conference on Mathematical Models and Computational Techniques in Science and Engineering, Athens, Greece, December 2023.

• V. Zelios, P. Mastorocostas, G. Kandilogiannakis, A. Kesidis, P. Tselenti, A. Voulodimos, Deep Learning Electric Load Forecasting for the Greek Power System, Proceedings of 27th International Conference on Circuits, Systems, Communications and Control, Rhodes, Greece, July 2023.

• G. Kandilogiannakis, P. Mastorocostas, C. Hilas, Α Dynamic Fuzzy Neural System for Time-Series Classification, Proceedings of IEEE International Conference on Intelligent Systems, Varna, Bulgaria, August 2020.

• G. Kandilogiannakis, P. Mastorocostas, ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series, Proceedings of IEEE International Joint Conference on Neural Networks, Glasgow, UK, July 2020.

• P. Mastorocostas, C. Hilas, J. Ellinas, Α Computational Intelligence Model for Processing Lung Sounds, Proceedings of International Conference on Digital Image and Signal Processing (DISP 2019), Oxford, UK, April 2019.

• D. Varsamis, C. Talagkozis, A. Tsimpiris, P. Mastorocostas, Α Parallel Implementation of K-Means in Matlab, Proceedings of 19^th International Conference on Advances in Distributed and Parallel Computing (ICADPC 2017), Istanbul, Turkey, October 2017.

• S. Kazarlis, J. Kalomiros, V. Kalaitzis, D. Bogas, P. Mastorocostas, A. Balouktsis, V. Petridis, Reconfigurable Hyper-Structures for Intrinsic Digital Circuit Evolution, Proceedings of 8^th International Conference on Advances in Circuits, Electronics and Micro-Electronics (CENICS 2015), Venice, Italy, August 2015.

• D. Stavrakoudis, S. Mylonas, C. Topalogou, J. Theocharis, P. Mastorocostas, Exploiting the Interpretability of Fuzzy Rule-based Classifiers for Analyzing Hyperspectral Remotely Sensed Data, Proceedings of 19^th International Conference on Circuits, Systems, Communications and Computers, Zakynthos, Greece, July 2015.

• S. Kazarlis, J. Kalomoiros, P. Mastorocostas, V. Petridis, A. Balouktsis, V. Kalaitzis, A. Valais, A Method for Simulating Digital Circuits for Evolutionary Optimization, Proceedings of 10th International Joint Conferences on Systems, Computing Sciences and Software Engineering, December 2014.

• C. Topaloglou, S. Mylonas, D. Stavrakoudis, P. Mastorocostas, J. Theocharis, Accurate Crop Classification Using Hierarchical Fuzzy Rule-based Systems, Proceedings of 2014 SPIE International Conference on Remote Sensing, Amsterdam, The Netherlands, September 2014.

• D. Varsamis, C. Talagkozis, P. Mastorocostas, E. Outsios, The Performance of the MATLAB Parallel Computing Toolbox in Specific Problems, Proceedings of 18^th International Conference on Circuits, Systems, Communications and Computers, Santorini, July 2014.

• S. Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas, Spectral-Spatial Classification of Remote Sensing Images Using a Region-based GeneSIS Segmentation Algorithm, Proceedings of 21^rd IEEE International Conference on Fuzzy Systems, Beijing, China, July 2014, pp. 1976-1984.

• S. Mylonas, D. Stavrakoudis, C. Topalogou, J. Theocharis, P. Mastorocostas, A Watershed-based Spectral-Spatial Segmentation and Classification Scheme for Remote Sensing Images, Proceedings of 5^th GEOBIA, Thessaloniki, May 2014, pp. 335-338.

• C. Hilas, S. Kazarlis, I. Rekanos, P. Mastorocostas, A Genetic Programming Approach to Telecommunications Fraud Detection and Classification, Proceedings of International Conference on Circuits, Systems, Signal Processing, Communications and Computers, Venice, Italy, March 2014, pp. 77-83.

• P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, A Block-Diagonal Recurrent Neural Network for Telecommunications Call Volume Forecasting, Proceedings of International Conference on Computer Science and Electronics Engineering, Dubai, U.A.E., ISBN: 9788192710419, November 2013, pp. 7-11.

• P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova, A Telecommunications Call Volume Forecasting System based on a Recurrent Fuzzy Neural Network, Proceedings of 2013 IEEE International Joint Conference on Neural Networks, Dallas, U.S.A., August 2013, doi: 10.1109/IJCNN.2013.6707102.

• D. Varsamis, P. Mastorocostas, A. Papakonstantinou, N. Karampetakis, A Parallel Searching Algorithm for the Insetting Procedure in MATLAB Parallel Toolbox, Proceedings of Federated Conference on Computer Science and Information Systems, Wroclaw, Poland, September 2012, pp. 587-593.

• P. Mastorocostas, C. Hilas, S. Dova, D. Varsamis, A TSK-based Fuzzy System for Telecommunications Time-series Forecasting, Proceedings of 6^th IEEE International Conference on Intelligent Systems, Sofia, Bulgaria, vol. I, September 2012, pp. 146-151.

• P. Mastorocostas, C. Hilas, S. Dova, D. Varsamis, Forecasting of Telecommunications Time-series via an Orthogonal Least Squares-based Fuzzy Model, Proceedings of 21^st IEEE International Conference on Fuzzy Systems, Brisbane, Australia, June 2012, doi: 10.1109/FUZZ-IEEE.2012.6251254.

• P. Mastorocostas, C. Hilas, Telecommunications Data Forecasting Based on a Dynamic Neuro-Fuzzy Network, Proceedings of 8^th International Symposium on Neural Networks, Guilin, China, May-June 2011, pp. 529-537.

• P. Mastorocostas, C. Hilas, A Computational Intelligence Approach for Forecasting Telecommunications Time Series, Proceedings of 2010 International Conference on Telecommunications and Networking, December 2010.

• C. Hilas, I. Rekanos, S. Goudos, P. Mastorocostas, J. Sahalos, Change Level Detection in time Series Using Higher Order Statistics, Proceedings of 16^th International Conference on Digital Signal Processing, Santorini, Greece, July 2009.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, Α Locally Recurrent Globally Feed-forward Fuzzy Neural Network for Processing Lung Sounds, Proceedings of 2007 International Conference on Artificial Neural Networks, Porto, September 2007, Portugal, pp. 120-128.

• P.Α. Mastorocostas, C.S. Hilas, A Block-Diagonal Dynamic Fuzzy Filter for Adaptive Noise Cancellation, Proceedings of 2007 International Conference on Systems, Computing Sciences and Software Engineering, December 2007, pp. 387-392.

• P. Mastorocostas, A Block-Diagonal Recurrent Fuzzy Neural Network for Dynamic System Identification, Proceedings of 16^th IEEE International Conference on Fuzzy Systems, London, UK, July 2007, pp. 11-16.

• D. Stavrakoudis, P. Mastorocostas, J. Theocharis, A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds, Proceedings of 16^th IEEE International Conference on Fuzzy Systems, London, UK, July 2007, pp. 49-54.

• P. Mastorocostas, C. Hilas A Dynamic Fuzzy Model for Processing Lung Sounds, Proceedings of 2006 International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, A Recurrent Neural Filter for Adaptive Noise Cancellation, Proceedings of 5^th IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, February 2006, pp. 341-346.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, A Simulated Annealing-Based Learning Algorithm for Block-Diagonal Recurrent Neural Networks, Proceedings of 5^th IASTED International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, February 2006, pp. 244-249.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas, A Recurrent Fuzzy Filter for Adaptive Noise Cancellation, Proceedings of CIMCA 2005, Vienna, Austria, November 2005, pp. 408-413.

• P. Mastorocostas, D. Varsamis, C. Mastorocostas, I. Rekanos, An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks, Proceedings of CIMCA 2005, Vienna, Austria, November 2005, pp. 403-408.

• P. Mastorocostas, A Constrained Optimization Algorithm for Training Locally Recurrent Globally Feedforward Neural Networks, Proceedings of 2005 IEEE International Conference on Neural Networks, Montreal, Canada, July-August 2005, pp. 717-722.

• P. Mastorocostas, J. Theocharis, A Recurrent Fuzzy-Neural Filter for Real-Time Separation of Lung Sounds, Proceedings of 2005 IEEE International Conference on Neural Networks, Montreal, Canada, July-August 2005, pp. 3023-3028.

• P. Mastorocostas, I. Rekanos, Simulated Annealing Dynamic RPROP for Training Recurrent Fuzzy Models, Proceedings of 14^th IEEE International Conference on Fuzzy Systems, Reno, U.S.A., May 2005, pp. 1086-1091.

• P. Mastorocostas, C. Hilas, A Dynamic Fuzzy-Neural Filter for the Analysis of Lung Sounds, Proceedings of 2004 IEEE International Conference on Systems, Man, and Cybernetics, Hague, the Netherlands, October 2004, pp. 2231-2236.

• P. Mastorocostas, J. Theocharis, On Stable Learning of Block-Diagonal Recurrent Neural Networks - Part II: Application to the Analysis of Lung Sounds, Proceedings of 2004 IEEE International Joint Conference on Neural Networks, Βudapest, Hungary, July 2004, pp. 821-826.

• P. Mastorocostas, J. Theocharis, On Stable Learning of Block-Diagonal Recurrent Neural Networks - Part I: The RENNCOM Algorithm, Proceedings of 2004 IEEE International Joint Conference on Neural Networks, Βudapest, Hungary, July 2004, pp. 815-820.

• P. Mastorocostas, J. Theocharis, D-OLS: An Orthogonal Least Squares Method for Dynamic Fuzzy Models, Proceedings of 10^th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, December 2001, pp. 119-122.

• P. Mastorocostas, J. Theocharis, A Generalized TSK Dynamic Fuzzy Neural Network: Application to Adaptive Noise Cancellation, Proceedings of 9^th IEEE International Conference on Fuzzy Systems, San Antonio, U.S.A., May 2000, pp. 877-882.

• P. Mastorocostas, J. Theocharis, S. Kiartzis and A. Bakirtzis, Orthogonal Least Squares based Fuzzy Model for Short Term Load Forecasting, Proceedings of IMAC International Symposium on Soft Computing, Athens, June 1998.

• P. Mastorocostas, J. Theocharis, Orthogonal Least Squares Fuzzy Modelling of Nonlinear Dynamical Systems, Proceedings of 6^th IEEE International Conference on Fuzzy Systems, Barcelona, Spain, July 1997, pp. 1147-1152.

• P. Mastorocostas, J. Theocharis, FUNCOM: An Efficient Fuzzy Neural Training Algorithm, Proceedings of 5^th IEEE International Conference on Fuzzy Systems, New Orleans, U.S.A., September 1996, pp. 380-386.

• P. Mastorocostas, J. Theocharis, A Fast Learning Hybrid Algorithm for Training Fuzzy Neural Networks, Proceedings of 1996 IASTED International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 1996, pp. 129-132.

The research papers have attracted 1174 third-party citations (1383 Google Scholar citations).

• IEEE Transactions on Emerging Topics in Computational Intelligence

• IEEE Transactions on Fuzzy Systems

• IEEE Transactions on Neural Networks

• ΙΕΕΕ Transactions on Neural Networks and Learning Systems

• IEEE Transactions on Signal Processing

• IEEE Transactions on Systems, Man, and Cybernetics, Part Α

• IEEE Transactions on Systems, Man, and Cybernetics, Part Β

• IEEE Transactions on Systems, Man, and Cybernetics, Part C

• IEEE Transactions on Circuits and Systems, Part Ι

• IEEE Transactions on Cybernetics

• IET Circuits, Devices and Systems

• Fuzzy Sets and Systems

• Applied Soft Computing

• Neurocomputing

• Artificial Intelligence in Medicine

• Engineering Applications of Artificial Intelligence

• Computers and Electrical Engineering

• Computer Methods and Programs in Biomedicine

• Neural Computing and Applications

• Telecommunication Systems

• Optimization Letters

• Axioms (MDPI)

• Mathematics (MDPI)

• Energies (MDPI)

• Processes (MDPI)

• Biomimetics (MDPI)

• Symmetry (MDPI)

• Applied Sciences (MDPI)

• Information (MDPI)

• Journal of Marine Science and Engineering (MDPI)

• International Journal of Remote Sensing

• Mathematical Problems in Engineering

• Computational Intelligence and Neuroscience

• Advances in Materials Science and Engineering

• Modelling and Simulation in Engineering

• International Journal of Telemedicine and Applications

• Journal of Information Science and Engineering

• International Journal of Computer Engineering Research

• Journal of Engineering and Computer Innovations

• Journal of Service Science and Management

• PLOS One

• Information Technology Research Journal

• Applied Mathematical Sciences

• Journal of Education Research and Review

• Journal of Surveying and Mapping Engineering

• WSEAS Transactions on Computer Research