Статті в журналах з теми "Supervised Motor Learning"
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Xian, Xiaoyu, Haichuan Tang, Yin Tian, Qi Liu, and Yuming Fan. "Performance Analysis of Different Machine Learning Algorithms for Identifying and Classifying the Failures of Traction Motors." Journal of Physics: Conference Series 2095, no. 1 (November 1, 2021): 012058. http://dx.doi.org/10.1088/1742-6596/2095/1/012058.
Повний текст джерелаEt. al., Rameshwar D. Chintamani,. "Analysis of Motor Imagery EEG Classification Based on Feature Extraction and Machine Learning Algorithm." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (March 26, 2021): 541–53. http://dx.doi.org/10.17762/itii.v9i2.381.
Повний текст джерелаSingh, Puneet, Sumitash Jana, Ashitava Ghosal, and Aditya Murthy. "Exploration of joint redundancy but not task space variability facilitates supervised motor learning." Proceedings of the National Academy of Sciences 113, no. 50 (November 29, 2016): 14414–19. http://dx.doi.org/10.1073/pnas.1613383113.
Повний текст джерелаShe, Zhou, Gan, Ma, and Luo. "Decoding EEG in Motor Imagery Tasks with Graph Semi-Supervised Broad Learning." Electronics 8, no. 11 (November 1, 2019): 1273. http://dx.doi.org/10.3390/electronics8111273.
Повний текст джерелаRaymond, Jennifer L., and Javier F. Medina. "Computational Principles of Supervised Learning in the Cerebellum." Annual Review of Neuroscience 41, no. 1 (July 8, 2018): 233–53. http://dx.doi.org/10.1146/annurev-neuro-080317-061948.
Повний текст джерелаJigyasu, R., V. Shrivastava, and S. Singh. "Prognostics and health management of induction motor by supervised learning classifiers." IOP Conference Series: Materials Science and Engineering 1168, no. 1 (July 1, 2021): 012006. http://dx.doi.org/10.1088/1757-899x/1168/1/012006.
Повний текст джерелаZhang, Weiwei, Deji Chen, and Yang Kong. "Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images." Sensors 21, no. 14 (July 13, 2021): 4774. http://dx.doi.org/10.3390/s21144774.
Повний текст джерелаTang, Xian-Lun, Wei-Chang Ma, De-Song Kong, and Wei Li. "Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition." Neural Computation 31, no. 5 (May 2019): 919–42. http://dx.doi.org/10.1162/neco_a_01183.
Повний текст джерелаPyle, Ryan, and Robert Rosenbaum. "A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity." Neural Computation 31, no. 7 (July 2019): 1430–61. http://dx.doi.org/10.1162/neco_a_01198.
Повний текст джерелаCingireddy, Anirudh Reddy, Robin Ghosh, Venkata Kiran Melapu, Sravanthi Joginipelli, and Tor A. Kwembe. "Classification of Parkinson's Disease Using Motor and Non-Motor Biomarkers Through Machine Learning Techniques." International Journal of Quantitative Structure-Property Relationships 7, no. 2 (April 2022): 1–21. http://dx.doi.org/10.4018/ijqspr.290011.
Повний текст джерелаWang, Chiao-Sheng, I.-Hsi Kao, and Jau-Woei Perng. "Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning." Sensors 21, no. 11 (May 22, 2021): 3608. http://dx.doi.org/10.3390/s21113608.
Повний текст джерелаOu, Yanghan, Siqin Sun, Haitao Gan, Ran Zhou, and Zhi Yang. "An improved self-supervised learning for EEG classification." Mathematical Biosciences and Engineering 19, no. 7 (2022): 6907–22. http://dx.doi.org/10.3934/mbe.2022325.
Повний текст джерелаRovini, Erika, Carlo Maremmani, Alessandra Moschetti, Dario Esposito, and Filippo Cavallo. "Comparative Motor Pre-clinical Assessment in Parkinson’s Disease Using Supervised Machine Learning Approaches." Annals of Biomedical Engineering 46, no. 12 (July 20, 2018): 2057–68. http://dx.doi.org/10.1007/s10439-018-2104-9.
Повний текст джерелаSharrar, Labib. "Anomaly Detection System for Stepper Motors." International Journal of Engineering Research in Electronics and Communication Engineering 9, no. 6 (June 30, 2022): 26–35. http://dx.doi.org/10.36647/ijerece/09.06.a005.
Повний текст джерелаDevlaminck, Dieter, Bart Wyns, Moritz Grosse-Wentrup, Georges Otte, and Patrick Santens. "Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI." Computational Intelligence and Neuroscience 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/217987.
Повний текст джерелаDas, Arun, Jeffrey Mock, Yufei Huang, Edward Golob, and Peyman Najafirad. "Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 818–26. http://dx.doi.org/10.1609/aaai.v35i1.16164.
Повний текст джерелаShifat, Tanvir Alam, and Jang-Wook Hur. "EEMD assisted supervised learning for the fault diagnosis of BLDC motor using vibration signal." Journal of Mechanical Science and Technology 34, no. 10 (July 24, 2020): 3981–90. http://dx.doi.org/10.1007/s12206-020-2208-7.
Повний текст джерелаZaki Zadeh, Mohammad, Ashwin Ramesh Babu, Ashish Jaiswal, and Fillia Makedon. "Self-Supervised Human Activity Representation for Embodied Cognition Assessment." Technologies 10, no. 1 (February 17, 2022): 33. http://dx.doi.org/10.3390/technologies10010033.
Повний текст джерелаQi, Yugang, Sijie Tan, Mingyang Sui, and Jianxiong Wang. "SUPERVISED PHYSICAL TRAINING IMPROVES FINE MOTOR SKILLS OF 5-YEAR-OLD CHILDREN." Revista Brasileira de Medicina do Esporte 24, no. 1 (January 2018): 9–12. http://dx.doi.org/10.1590/1517-869220182401177117.
Повний текст джерелаXu, Yilu, Hua Yin, Wenlong Yi, Xin Huang, Wenjuan Jian, Canhua Wang, and Ronghua Hu. "Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI." Computational Intelligence and Neuroscience 2022 (October 17, 2022): 1–19. http://dx.doi.org/10.1155/2022/1603104.
Повний текст джерелаFujita, Masahiko. "New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points." Neural Computation 25, no. 6 (June 2013): 1440–71. http://dx.doi.org/10.1162/neco_a_00448.
Повний текст джерелаAbu Al-Haija, Qasem, and Moez Krichen. "A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning." Computers 11, no. 8 (August 3, 2022): 121. http://dx.doi.org/10.3390/computers11080121.
Повний текст джерелаRodrigues, Luis Guilherme Silva, Diego Roberto Colombo Dias, Marcelo De Paiva Guimarães, Alexandre Fonseca Brandão, Leonardo C. Rocha, Rogério Luiz Iope, and José Remo Ferreira Brega. "Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data." Journal on Interactive Systems 13, no. 1 (September 6, 2022): 221–31. http://dx.doi.org/10.5753/jis.2022.2409.
Повний текст джерелаLi, Hailong, Zhiyuan Li, Kevin Du, Yu Zhu, Nehal A. Parikh, and Lili He. "A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants." Diagnostics 13, no. 8 (April 21, 2023): 1508. http://dx.doi.org/10.3390/diagnostics13081508.
Повний текст джерелаSadouk, Lamyaa, Taoufiq Gadi, and El Hassan Essoufi. "A Novel Deep Learning Approach for Recognizing Stereotypical Motor Movements within and across Subjects on the Autism Spectrum Disorder." Computational Intelligence and Neuroscience 2018 (July 10, 2018): 1–16. http://dx.doi.org/10.1155/2018/7186762.
Повний текст джерелаSchwarz, Andreas, Julia Brandstetter, Joana Pereira, and Gernot R. Müller-Putz. "Direct comparison of supervised and semi-supervised retraining approaches for co-adaptive BCIs." Medical & Biological Engineering & Computing 57, no. 11 (September 14, 2019): 2347–57. http://dx.doi.org/10.1007/s11517-019-02047-1.
Повний текст джерелаLakshmi Praveena, T., and N. V. Muthu Lakshmi. "Prediction of Autism Spectrum Disorder Using Supervised Machine Learning Algorithms." Asian Journal of Computer Science and Technology 8, no. 3 (November 15, 2019): 15–18. http://dx.doi.org/10.51983/ajcst-2019.8.3.2734.
Повний текст джерелаChen, Junjian, Zhuliang Yu, and Zhenghui Gu. "Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder." Journal of Physics: Conference Series 1631 (September 2020): 012007. http://dx.doi.org/10.1088/1742-6596/1631/1/012007.
Повний текст джерелаShe, Qingshan, Jie Zou, Zhizeng Luo, Thinh Nguyen, Rihui Li, and Yingchun Zhang. "Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine." Medical & Biological Engineering & Computing 58, no. 9 (July 16, 2020): 2119–30. http://dx.doi.org/10.1007/s11517-020-02227-4.
Повний текст джерелаLing, Xufeng, Yapeng Wu, Rahman Ali, and Huaizhong Zhu. "Magnetic Tile Surface Defect Detection Methodology Based on Self-Attention and Self-Supervised Learning." Computational Intelligence and Neuroscience 2022 (August 3, 2022): 1–10. http://dx.doi.org/10.1155/2022/3003810.
Повний текст джерелаSaxena, Abhinav, Rajat Kumar, Arun Kumar Rawat, Mohd Majid, Jay Singh, S. Devakirubakaran, and Gyanendra Kumar Singh. "Abnormal Health Monitoring and Assessment of a Three-Phase Induction Motor Using a Supervised CNN-RNN-Based Machine Learning Algorithm." Mathematical Problems in Engineering 2023 (January 30, 2023): 1–8. http://dx.doi.org/10.1155/2023/1264345.
Повний текст джерелаZhao, Xianghong, Jieyu Zhao, Weiming Cai, and Shuangqing Wu. "Transferring Common Spatial Filters With Semi-Supervised Learning for Zero-Training Motor Imagery Brain-Computer Interface." IEEE Access 7 (2019): 58120–30. http://dx.doi.org/10.1109/access.2019.2913154.
Повний текст джерелаWang, Fang, Kai Xu, Qiao Sheng Zhang, Yi Wen Wang, and Xiao Xiang Zheng. "A Multi-Step Neural Control for Motor Brain-Machine Interface by Reinforcement Learning." Applied Mechanics and Materials 461 (November 2013): 565–69. http://dx.doi.org/10.4028/www.scientific.net/amm.461.565.
Повний текст джерелаGhorbani, Saeed, Amir Dana, and Zynalabedin Fallah. "The effects of external and internal focus of attention on motor learning and promoting learner’s focus." Biomedical Human Kinetics 11, no. 1 (January 1, 2019): 175–80. http://dx.doi.org/10.2478/bhk-2019-0024.
Повний текст джерелаLee, Seyoung, Jiye Lee, and Jehee Lee. "Learning Virtual Chimeras by Dynamic Motion Reassembly." ACM Transactions on Graphics 41, no. 6 (November 30, 2022): 1–13. http://dx.doi.org/10.1145/3550454.3555489.
Повний текст джерелаLiu, Minjie, Mingming Zhou, Tao Zhang, and Naixue Xiong. "Semi-supervised learning quantization algorithm with deep features for motor imagery EEG Recognition in smart healthcare application." Applied Soft Computing 89 (April 2020): 106071. http://dx.doi.org/10.1016/j.asoc.2020.106071.
Повний текст джерелаAltaf, Saud, Muhammad Waseem Soomro, and Mirza Sajid Mehmood. "Fault Diagnosis and Detection in Industrial Motor Network Environment Using Knowledge-Level Modelling Technique." Modelling and Simulation in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/1292190.
Повний текст джерелаRedkar, Sangram. "Using Deep Learning for Human Computer Interface via Electroencephalography." IAES International Journal of Robotics and Automation (IJRA) 4, no. 4 (December 1, 2015): 292. http://dx.doi.org/10.11591/ijra.v4i4.pp292-310.
Повний текст джерелаCardenas, Javier A., Uriel E. Carrero, Edgar C. Camacho, and Juan M. Calderon. "Intelligent Position Controller for Unmanned Aerial Vehicles (UAV) Based on Supervised Deep Learning." Machines 11, no. 6 (June 2, 2023): 606. http://dx.doi.org/10.3390/machines11060606.
Повний текст джерелаAich, Satyabrata, Jinyoung Youn, Sabyasachi Chakraborty, Pyari Mohan Pradhan, Jin-han Park, Seongho Park, and Jinse Park. "A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals." Diagnostics 10, no. 6 (June 20, 2020): 421. http://dx.doi.org/10.3390/diagnostics10060421.
Повний текст джерелаE., Sica, Savarese G., Criscitiello G., and Grano R. "The “School in the Green”: An Experience of Developing Scholastic Intelligence Through the Enhancement of the Naturalistic and Visual-Spatial Ones." British Journal of Education, Learning and Development Psychology 6, no. 3 (August 14, 2023): 1–6. http://dx.doi.org/10.52589/bjeldp-sqmy0hxc.
Повний текст джерелаBrons, Annette, Antoine de Schipper, Svetlana Mironcika, Huub Toussaint, Ben Schouten, Sander Bakkes, and Ben Kröse. "Assessing Children’s Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach." Journal of Medical Internet Research 23, no. 4 (April 22, 2021): e24237. http://dx.doi.org/10.2196/24237.
Повний текст джерелаAnitha Kumari, K., Avinash Sharma, S. Nivethitha, V. Dharini, V. Sanjith, R. Vaishnavi, G. Jothika, and K. Shophiya. "Automated Outlier Detection for Electrical Motors and Transformers." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 4703–8. http://dx.doi.org/10.1166/jctn.2020.9304.
Повний текст джерелаSammut, Stephen, Ryan G. L. Koh, and José Zariffa. "Compensation Strategies for Bioelectric Signal Changes in Chronic Selective Nerve Cuff Recordings: A Simulation Study." Sensors 21, no. 2 (January 12, 2021): 506. http://dx.doi.org/10.3390/s21020506.
Повний текст джерелаWENG, JUYANG, TIANYU LUWANG, HONG LU, and XIANGYANG XUE. "A MULTILAYER IN-PLACE LEARNING NETWORK FOR DEVELOPMENT OF GENERAL INVARIANCES." International Journal of Humanoid Robotics 04, no. 02 (June 2007): 281–320. http://dx.doi.org/10.1142/s0219843607001072.
Повний текст джерелаBaker, Sunderland, Anand Tekriwal, Gidon Felsen, Elijah Christensen, Lisa Hirt, Steven G. Ojemann, Daniel R. Kramer, Drew S. Kern, and John A. Thompson. "Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson’s disease: A proof of concept study." PLOS ONE 17, no. 10 (October 20, 2022): e0275490. http://dx.doi.org/10.1371/journal.pone.0275490.
Повний текст джерелаDai, Mengxi, Dezhi Zheng, Shucong Liu, and Pengju Zhang. "Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification." Computational and Mathematical Methods in Medicine 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/9871603.
Повний текст джерелаAnastasiev, Alexey, Hideki Kadone, Aiki Marushima, Hiroki Watanabe, Alexander Zaboronok, Shinya Watanabe, Akira Matsumura, Kenji Suzuki, Yuji Matsumaru, and Eiichi Ishikawa. "Supervised Myoelectrical Hand Gesture Recognition in Post-Acute Stroke Patients with Upper Limb Paresis on Affected and Non-Affected Sides." Sensors 22, no. 22 (November 11, 2022): 8733. http://dx.doi.org/10.3390/s22228733.
Повний текст джерелаTorabi, Faraz. "Imitation Learning from Observation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9900–9901. http://dx.doi.org/10.1609/aaai.v33i01.33019900.
Повний текст джерелаMohammed, Mohammed Guhdar, Belnd Saadi Salih, and Vaman Muhammed Haji. "Employing EMG sensors in Bionic limbs based on a New Binary Trick Method." Science Journal of University of Zakho 11, no. 1 (January 29, 2023): 54–58. http://dx.doi.org/10.25271/sjuoz.2023.11.1.1027.
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