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Based on the KPCA convolution, an unsupervised deep siamese KPCA convolutional mapping network (KPCA-MNet) is designed for binary and multi-class change detection. In the KPCA-MNet, the high-level ...
Multiple Filter-Based Rankers to Guide Hybrid Grasshopper Optimization Algorithm and Simulated Annealing for Feature Selection With High Dimensional Multi-Class Imbalanced Datasets ...
In this article, a hybrid algorithm is proposed by combining the non-dominated sorting genetic algorithm (NSGA-II) with multi-objective particle swarm optimization (MOPSO) algorithm. The original NSGA ...
6 questions to ask about sleep training New babies are famously inconsistent sleepers, waking up often — day and night — to eat.
♟️ A Python-based Checkers game featuring an intelligent AI that makes strategic moves using the Minimax algorithm with Alpha-Beta pruning for optimal decision-making. The game includes a real-time ...