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Titlebook: Machine Learning, Image Processing, Network Security and Data Sciences; 5th International Co Naveen Chauhan,Divakar Yadav,Jorge Morato Lara

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發(fā)表于 2025-3-25 06:08:18 | 只看該作者
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發(fā)表于 2025-3-25 09:19:44 | 只看該作者
NandaKiran Velaga,Deepak Singhroperties of light-responsive microgels and nanoparticles thThe triggered release of functional compounds from such polymeric carriers as micelles, nanoparticles or nanogels is a rapidly developing and highly versatile concept which is expected to be one of the key approaches to future therapeutics.
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發(fā)表于 2025-3-26 05:31:04 | 只看該作者
Internet of Medical Things: Empowering Mobility and Health Monitoring with a Smart Walking Sticknctionality. The device provides various features including Step Count, Heart Rate and SpO2 measurement, Stress Measurement, Smart Home Control, Stopwatch, and Weather Information. These features enable users to monitor their physical activity, vital signs, and stress levels and promote overall well
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發(fā)表于 2025-3-26 11:12:09 | 只看該作者
MRI Based Spatio-Temporal Model for?Alzheimer’s Disease Predictiontural changes in the brain, including the shrinkage of specific regions and the development of abnormalities. AD is a progressive neurodegenerative disease that worsens over time. Spatial analysis helps identify the affected brain regions, while temporal analysis provides insights into the disease p
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發(fā)表于 2025-3-26 16:38:51 | 只看該作者
Comparative Analysis of Economy-Based Multivariate Oil Price Prediction Using LSTMc system-based multivariate oil price forecasting model that utilizes LSTM, a sophisticated deep learning algorithm that could capture tricky and nonlinear interactions in data with temporal order. Our model takes WTI crude price and numerous economic variables, containing US Dollar Index Futures, G
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發(fā)表于 2025-3-26 17:48:05 | 只看該作者
Deep Learning Based EV’s Charging Network Managementloying EV charging stations using a binary Quadratic model and using reinforcement learning for optimal path selection. Additionally, the paper explores the accurate estimation of SoC in EVs using deep neural networks. The binary Quadratic model considers factors like location, population density, t
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