Nonthreatening 发表于 2025-3-25 05:10:27
Victoria N. Ostrovskaya,Aleksei V. Bogovizecently, several approaches have been proposed for human action representation and further recognizing actions from the videos using different data modalities. Especially in the case of images, deep learning-based approaches have demonstrated their classification efficiency. Here, we propose an effe流行 发表于 2025-3-25 11:34:57
http://reply.papertrans.cn/15/1459/145837/145837_22.png路标 发表于 2025-3-25 15:35:48
https://doi.org/10.1007/978-3-658-27582-2ical factors versus psychological, rational, and irrational behavior, etc. Proposed research work consists of different aspects on which stock markets are based on. It consists of three models to forecast a stock price on State Bank of India (SBI) stock data. In the current research, we proposed a hcushion 发表于 2025-3-25 18:29:43
https://doi.org/10.1007/978-3-658-27582-2 the third-largest e-waste generator. The management of e-waste is complex because of less awareness. This paper aims to improve e-waste management by segregating them from general waste, tracking their movement and illegal recoveries. We have taken two types of image data. The electronic dataset coWordlist 发表于 2025-3-25 21:06:25
https://doi.org/10.1007/978-3-658-44768-7iers for gait-based human identification systems with covariate conditions. For the experimental analysis, we used the CASIA-B dataset, GEI for gait feature representation, and the HOG feature descriptor for feature extraction. The discriminant function for classification is chosen using linear disc心神不宁 发表于 2025-3-26 00:20:29
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https://doi.org/10.1007/978-3-658-21665-8dwriting synthesis: movement simulation and shape simulation. In movement simulation, the hand‘s neuromuscular movement is used to synthesis the writing. In shape simulation, glyph or structural features are used to synthesis the writing. Our main objective is to generate handwritten Gujarati font u