Miguel Martínez García
Miguel Martínez García
Lecturer in Machine Intelligence, Loughborough University
Потвърден имейл адрес: lboro.ac.uk
Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges
J Wan, X Li, HN Dai, A Kusiak, M Martinez-Garcia, D Li
Proceedings of the IEEE 109 (4), 377-398, 2020
Entropy measures in machine fault diagnosis: Insights and applications
Z Huo, M Martínez-García, Y Zhang, R Yan, L Shu
IEEE Transactions on Instrumentation and Measurement 69 (6), 2607-2620, 2020
Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects
S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ...
Information Fusion 76, 376-421, 2021
Memory pattern identification for feedback tracking control in human–machine systems
M Martínez-García, Y Zhang, T Gordon
Human factors 63 (2), 210-226, 2021
Energy-optimal data collection for UAV-aided industrial WSN-based agricultural monitoring system: A clustering compressed sampling approach
C Lin, G Han, X Qi, J Du, T Xu, M Martinez-Garcia
IEEE Trans. Ind. Informat., 2020
Deep recurrent entropy adaptive model for system reliability monitoring
M Martínez-García, Y Zhang, K Suzuki, YD Zhang
IEEE Transactions on Industrial Informatics 17 (2), 839-848, 2020
Modeling lane keeping by a hybrid open-closed-loop pulse control scheme
M Martínez-García, Y Zhang, T Gordon
IEEE Transactions on Industrial Informatics 12 (6), 2256-2265, 2016
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
Z Zhang, HN Dai, J Zhou, SK Mondal, MM García, H Wang
Expert Systems with Applications 183, 115378, 2021
Visually Interpretable Profile Extraction with an Autoencoder for Health Monitoring of Industrial Systems
M Martínez-García, Y Zhang, J Wan, J McGinty
2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics …, 2019
Multi-energy scheduling of an industrial integrated energy system by reinforcement learning-based differential evolution
Z Xu, G Han, L Liu, M Martínez-García, Z Wang
IEEE Transactions on Green Communications and Networking 5 (3), 1077-1090, 2021
A new model of human steering using far-point error perception and multiplicative control
M Martinez-Garcia, T Gordon
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Extended crossover model for human-control of fractional order plants
M Martínez-García, T Gordon, L Shu
IEEE Access 5, 27622-27635, 2017
A trust update mechanism based on reinforcement learning in underwater acoustic sensor networks
Y He, G Han, J Jiang, H Wang, M Martinez-Garcia
IEEE Transactions on Mobile Computing 21 (3), 811-821, 2020
Multi-AUV collaborative data collection algorithm based on Q-learning in underwater acoustic sensor networks
G Han, A Gong, H Wang, M Martínez-García, Y Peng
IEEE Transactions on Vehicular Technology 70 (9), 9294-9305, 2021
ITrust: An anomaly-resilient trust model based on isolation forest for underwater acoustic sensor networks
J Du, G Han, C Lin, M Martinez-Garcia
IEEE Transactions on Mobile Computing 21 (5), 1684-1696, 2020
Communication and interaction with semiautonomous ground vehicles by force control steering
M Martinez-Garcia, RS Kalawsky, T Gordon, T Smith, Q Meng, F Flemisch
IEEE transactions on cybernetics 51 (8), 3913-3924, 2020
Anomaly detection based on multidimensional data processing for protecting vital devices in 6G-enabled massive IIoT
G Han, J Tu, L Liu, M Martinez-Garcia, Y Peng
IEEE Internet of Things Journal 8 (7), 5219-5229, 2021
Detection of emerging faults on industrial gas turbines using extended Gaussian mixture models
Y Zhang, C Bingham, M Martínez-García, D Cox
International Journal of Rotating Machinery 2017, 2017
Boundary tracking of continuous objects based on binary tree structured SVM for industrial wireless sensor networks
L Liu, G Han, Z Xu, J Jiang, L Shu, M Martinez-Garcia
IEEE Transactions on Mobile Computing 21 (3), 849-861, 2020
A multisensor information fusion method for high-reliability fault diagnosis of rotating machinery
Z Huo, M Martínez-García, Y Zhang, L Shu
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2021
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