Titlebook: Data Science and Applications; Proceedings of ICDSA Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk Conference proceedings 2024 The Edit

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https://doi.org/10.1007/978-981-99-7820-5Models and Algorithms; Data Science Applications; Data Science Challenges; machine learning; Data Mining

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978-981-99-7819-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Ulrich Spandau,Gabor B. Schariothegative impacts on society. Many businesses have started automating their operations through technologies such as Artificial intelligence, Machine Learning, Blockchain, and Cyber Security, improving efficiency and security. However, these technologies have also been misused, causing data breaches an

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Ulrich Spandau,Gabor B. Scharioth voice, and other nonverbal cues. It is an important research topic in computer vision and has a wide range of applications. Emotion recognition from facial expressions is a challenging task in computer vision, and deep learning has shown remarkable performance in this area. In this study, we presen

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Compilation of All Pits and Pearlsroposed. Thus, there is a need to keep up with the said advancements’ framework. This paper reviews the progress of a covert information exchange technique, Steganography, over the recent few years by sifting through some cornerstone techniques and papers. We have listed and reviewed the various typ

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https://doi.org/10.1007/978-3-642-54449-1f the company based on the percentage of common shares held by that shareholder. A capitalization table, often referred to as a cap table, is a record stored in formats like spreadsheets or database tables. It provides comprehensive information about ownership distribution within a company. This doc

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https://doi.org/10.1007/978-3-642-54449-1e less severe and this may decrease the death rates. Distinguishing risk factors utilizing deep learning models is a hopeful methodology. Our research is based on the “Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques”