能干 发表于 2025-3-21 17:44:12
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Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI-Based Energy Efficient Reinforcemefore, the chapter presents the case study of the Reinforced Learning-based EE routing (EER-RL) for highly dense LPWAN IoT network deployments healthcare uses. The performance enhancement based on optimum parameter selection and learning is adopted for highly dense IoT networks. Reinforcement learniOsmosis 发表于 2025-3-22 00:42:44
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How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research,atures. Peptide formulation, edifice virtual testing, ligand-based silico, toxicity prognostication, drug tracking and release, pharmacophore modelling, quantifiable structure–activity connection, drug realigning, polypharmacology, and physical and chemical action have all used machine learning andovation 发表于 2025-3-22 20:20:00
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Artificial Intelligence Based Querying of Healthcare Data Processing,along with the suitable medication is possible. In this work we are trying to explore out and out flow of the health care data management with the technologies like Hadoop and Spark based architectures. The suitability here is to store huge amounts of the data the best filesystem is Hadoop and to prinsolence 发表于 2025-3-23 03:38:48
A Vision for Industry 4.0 Utilising AI Techniques and Methods,free tasks, and the majority of these dynamic concepts rest inside the same establishment theory as false experiences do, where the diagram and suggestion of the crucial understood course of growth are helped by the examination and filtration of enormous quantities of getting closer information fromAbjure 发表于 2025-3-23 08:26:45
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