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Titlebook: Advances and Applications of Artificial Intelligence & Machine Learning; Proceedings of ICAAA Bhuvan Unhelkar,Hari Mohan Pandey,Ankur Choud

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Conference proceedings 2023d Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also cov
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Advances and Applications of Artificial Intelligence & Machine Learning978-981-99-5974-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Hypertension and Type 2 Diabetesnufacturing, and many more sectors dish out voluminous data that are used for decision-making by policymakers. In real time, many attributes are irreverent and not so significant which leads to the concept of dimensionality reduction of the data obtained. Linear Discriminant Analysis (LDA) and Princ
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https://doi.org/10.1007/978-3-031-13009-0ng deep learning-based models will maximize the impact of computer vision-based models in the food domain. Deep learning-based model usage is still limited in recognizing and detecting Indian Food Items due to the lack of datasets on Indian Food. We introduce the IndianFood-7 Dataset, which contains
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https://doi.org/10.1007/978-3-642-72423-7cerns about data security and authentic use. This landed us on the significance of metrics relating to a person’s personal identity. The personal attributes cannot be stolen and are very simple to deploy. This study uses an individual‘s facial features to permit his/her presence in a specific locati
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