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

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https://doi.org/10.1007/978-3-658-26522-9ce and copy-move manipulations using deep learning model, Enhanced DenseNet201 and VGG19, on the widely used CASIA 2.0 and CASIA 1.0 dataset. The proposed methodology focuses on enhancing the accuracy of forge image classification through the utilization of advanced convolutional neural networks (CN

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https://doi.org/10.1007/978-3-658-26522-9is a leading cause of preventable blindness, & early detection through automated screening is important to ensuring the health of a patient’s eyes. Preventing a significant loss of vision requires prompt medical attention, ideally from an ophthalmologist. Given the recent advancements in machine lea

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Das Projekt, den Kunden mit der , gewinnen,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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Das Projekt, den Kunden mit der , gewinnen, 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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Susanne Schaffert,Klaus von Werder FRCPigating 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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