Search alternatives:
based optimization » whale optimization (Expand Search)
data bayesian » a bayesian (Expand Search), art bayesian (Expand Search)
primary rule » primary role (Expand Search), primary route (Expand Search), primary bile (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
based optimization » whale optimization (Expand Search)
data bayesian » a bayesian (Expand Search), art bayesian (Expand Search)
primary rule » primary role (Expand Search), primary route (Expand Search), primary bile (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…This research presents Data-Driven Intrusion Detection System in Internet of Things utilizing Optimized Bayesian Regularization-Back Propagation Neural Network (DIDS-BRBPNN-BBWOA-IoT) to overcome these issues. …”
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Bayesian sequential design for sensitivity experiments with hybrid responses
Published 2023“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”
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Table_1_Reinforcement learning for watershed and aquifer management: a nationwide view in the country of Mexico with emphasis in Baja California Sur.XLSX
Published 2024“…<p>Reinforcement Learning (RL) is a method that teaches agents to make informed decisions in diverse environments through trial and error, aiming to maximize a reward function and discover the optimal Q-learning function for decision-making. In this study, we apply RL to a rule-based water management simulation, utilizing a deep learning approach for the Q-learning value function. …”