AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The experimental findings demonstrate the feasibility of automating opinion and sentiment detection in medical literature, highlighting the potential of hybrid approaches that combine programmatic data extraction and AI-driven text interpretation for large-scale biomedical knowledge synthesis.
The comparison of ANFIS method with the neural method showed that the ANFIS method is more accurate in estimating the state of charge and correlates the experimental points and the output of the network, so that ANFIS error in some states of charge is less than 2%.
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