Titlebook: Recent Advancements in Artificial Intelligence ; Proceedings of ICRAA Richi Nayak,Namita Mittal,Ajay Khunteta Conference proceedings 2024 T

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Transformative Potential of AI and Remote Sensing in Sustainable Groundwater Management,ter. Historically, groundwater research relied on traditional manual methods such as well monitoring, borehole sampling, and pump tests. These methods provide valuable insights, but they are costly, highly time and effort consuming. they provide limited spatial coverage and temporal resolution. Thes

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Impact on Ocean Acidification Along the Hawaii Coastline Using Learning Algorithm, the mixing of CO. with ocean water. Identifying parameters with significant correlations to ocean acidification enhances the model‘s accuracy. The study utilizes Linear and Random forest regressor models, comparing their performance based on Mean Square Error (MSE), R. error, and Accuracy. Remarkab

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,Voice-Based Classification of Parkinson’s Disease Using Machine Learning: An Extensive Study, of voice datasets of PD patients and healthy individuals is explored using machine learning (ML) models to classify PD. The dataset is used with the “Synthetic Minority Over-sampling Technique” (SMOTE) algorithm to handle class imbalances and hyperparameter tuning. The dataset is used to train ML m

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A Brief Perusal of Image-based Diagnosis for COVID-19 Using Image Processing Perspective,mic. By visually analysing their CXRimages, (Machine Learning) techniques may be the main tool used in the identification of COVID-19 patients. This work proposes a novel approach to image processing (I.P.) that will classify C.X.R. images into two groups: non-COVID-19 and patient COVID-19. Recent F

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