Titlebook: Advanced Machine Intelligence and Signal Processing; Deepak Gupta,Koj Sambyo,Sonali Agarwal Conference proceedings 2022 The Editor(s) (if

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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

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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 h

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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 co

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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

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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