Energy Efficiency Optimization in the IoT using Whale Optimization Algorithm and Simulated Annealing
Abstract: The Internet of Things (IoT) has found applications across a wide range of sectors, including smart cities, agriculture, waste management, weather monitoring, and energy grids. Despite its ...
Abstract: Feature selection is crucial in reducing data dimensionality, improving classification performance, and minimizing computational costs in machine learning. This paper proposes a hybrid ...
Three swarm optimization algorithms were utilized to determine the initial weights and biases of the ANN. Subsequently, the parameters of the Williams-Landel-Ferry (WLF) function were optimized using ...
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