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13 hours ago · Use of machine learning makes the whole thing more productive and responsive. In this research we have suggested a system that detects diversity of viruses ...
18 hours ago · A Comparative Study of Machine Learning Techniques for Seismic Activity Monitoring using Fiber Optic Distributed Acoustic Sensors. Publisher: IEEE. Cite This.
Development of Data Driven Model for Proton Exchange Membrane Fuel ...
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15 hours ago · A multi-input data-based predictive model of PEM fuel cell is built using machine learning approach, such as, linear regression approach, support vector machine ...
20 hours ago · To address the shortcomings and deficiencies of batch learning algorithms, this paper proposes an improved incremental brain-like developmental model, which can ...
19 hours ago · This study investigates the impact of data augmentation techniques on the performance of both traditional machine learning methods and deep learning methods, ...
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23 hours ago · Abstract: Swim pose estimation and recognition is a challenging problem in machine learning and artificial intelligence as the body of the swimmer is ...
3 hours ago · Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications ...
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10 hours ago · ... IEEE Transactions on Pattern Analysis and Machine Exaly shop, Full Paper Mr. Motomatsu A Data Driven Inductor Modeling shop, Top 12 Machine Learning Journals ...
14 hours ago · Machine Learning Calls For Papers (CFP) for international conferences, workshops, meetings, seminars, events, journals and book chapters.