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Employing Image Processing and Deep Learning in Gradation and Classification of Paddy Grainimages processing technique for data Pre-processing like Image Pre-preparing, Feature Extraction, Acquisition, Image Filtering, Image Data Linearization and so forth. The data set contains overall 570 set of images contains binary scaled image of paddy grain based on utilizing RGB shading division aamorphous 发表于 2025-3-27 06:30:48
Artificial Intelligence: Paving the Way to a Smarter Education Systems, expanding access, modernizing the mode of dissemination of knowledge, and enabling round-the-clock support to students with the help of chatbots. The present book chapter aims to review the numerous benefits of adopting AI-powered solutions in education and their possible implications. The chapte钳子 发表于 2025-3-27 09:40:07
Using Deep Learning to Recognize Emotions Through Speech Analysisman sentiments, and presents output in the text the emotion expressed by the user. The input from testing was gathered and meaningful spectral coefficients were extracted and stored in a database for comparison with future audio samples. The application extracts the coefficients of the external audibourgeois 发表于 2025-3-27 15:46:47
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Diagnosis of Mental Illness Using Deep Learning: A Surveys of the brain. While this technique can be employed and worked at the practice for the early diagnosis of a mental illness, the same can be extended for real-time monitoring of the individual and improving the efficiency of treatment. This chapter gives an insight into the involvement of Neural Netoffense 发表于 2025-3-27 22:24:50
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A Deep Learning Techniques for Brain Tumor Severity Level (K-CNN-BTSL) Using MRI Imagesugh Discrete Wavelet Transform and Principal Component Analysis to reduce the dimensional for better accuracy and computational power management. The experiment with deep learning algorithms indicates the effectiveness of the proposed work. A novel method of hybridization of K-Neighboring Algorithm投射 发表于 2025-3-28 06:38:33
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Wie wird der Fall zum Fall? Ein Fazitligent” threats. This article discusses cybersecurity and cyber threats along with both conventional and intelligent ways of defense against cyber-attacks. Furthermore finally, end the discussion with the potential prospects of the future of AI in cybersecurity.