Titlebook: Advances in Data-Driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish C. Bansal Conference pr

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Multi-sensor Data Fusion and Deep Machine Learning Models-Based Mental Stress Detection System,978-1-137-50557-6

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FASRGAN: Feature Attention Super Resolution Generative Adversarial Network,

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Advances in Data-Driven Computing and Intelligent SystemsSelected Papers from

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https://doi.org/10.1007/978-3-211-72138-4ription of its components and operation scenarios. Then, the authors considered a sample scenario for disease stratification based on obtaining values of health indicators and performing calculations according to a defined methodology. An algorithm for data collection and analysis for diagnosis maki

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The middle cranial base and cavernous sinused on the result derived, the Assamese corpus size has been enhanced to 50,000 words and better performance is noted in terms of accuracy rate, precision, recall, and .1-score. As a result, an accuracy of 91.20% is achieved for LSTM and 91.72% for Bi-LSTM. Concerned with substantial research from th

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The middle cranial base and cavernous sinusphs for each model are shown. The graphs show that the LSTM model performs better at detecting explicit lyrics in Hindi music than other machine learning models, with greater accuracy and lower loss. Overall, the study underlines the benefits of employing LSTM over alternative approaches and shows h

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