Titlebook: Computation of Artificial Intelligence and Machine Learning; First International Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat Confer

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Enhancing Player Engagement Through Gesture-Based Interactions in Tic-Tac-Toe,ven version of the classic mouse-click Tic-Tac-Toe game that uses computer vision for immersive gameplay. Enables natural interactions with robust real-time hand tracking and gesture classification. The placement of markers in a game is matched to gestures like pinching and swiping. The system combi

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,Aggressive Bangla Text Detection Using Machine Learning and Deep Learning Algorithms, these platforms, people share their interests, thoughts, and rights, sometimes receiving appreciation for their views and, at times, encountering conflicts of interest leading to mean comments, including hate speech and aggression towards individuals, societies, or groups. Detecting such comments h

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A Comparative Evaluation of Machine Learning Techniques for Detecting Malicious Network Traffic,ingly rely on interconnected systems. Detecting these security incidents rapidly and accurately is critical, but also poses challenges due to the constantly evolving techniques used by hackers. Machine learning has surfaced as a promising avenue for developing intelligent systems capable of analyzin

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Enhancing Cyclone Intensity Prediction Through Deep Learning Analysis of Imagery Datasets,igating their impact. In recent years, deep learning has emerged as a promising technique for image analysis. This paper introduces a deep learning-based method for estimating cyclone strength using image datasets. By leveraging convolutional neural networks (CNNs), the proposed approach extracts es

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Revolutionizing Road Safety: Machine Learning Approaches for Predicting Road Accident Severity,the economy. Road accident prediction has primarily been researched as a classification problem in the literature, meaning that the goal is to forecast whether or not a traffic mishap will occur in future deprived of delving into the intricate interactions between the many components that contribute

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,Survey and Analysis of Machine Learning Methods for Parkinson’s Disease Diagnosis,on of substantia nigra of the central nervous system (CNS), that has an impact on the body. Individuals with Parkinson‘s disease experience difficulty speaking, writing, and walking. To distinguish between individuals with Parkinson‘s disease and those in good health, various machine learning-based

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Accelerated GPU-Based Clustering, Classification and Regression Using RAPIDS: A Comparative Study, other hand, are ideally suitable for Machine learning challenges due to their tremendous performance. NVIDIA has released the RAPIDS framework, which includes the cuML library, to take benefit from GPU performance for machine learning. A GPU-based framework such as RAPIDS provides fast results on l

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1865-0929 ytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics..978-3-031-71480-1978-3-031-71481-8Series ISSN 1865-0929 Series E-ISSN 1865-0937