A deep learning framework combining bird swarm optimization with adaptive image segmentation achieved 99.05 percent accuracy in detecting pulmonary tuberculosis ...
A particle swarm-optimized XGBoost model accurately predicted the shear strength of steel fiber-reinforced concrete deep beams across 208 tested specimens.
A hybrid computational framework combining deep learning, fuzzy logic, and metaheuristic optimization achieved superior accuracy and fairness in assessing university ...
A multi-scale 3D-CNN tuned by a quantum-inspired metaheuristic optimizer classified eight basketball tactical patterns from player tracking data with 94.3% ...
A three-stage maximum power point tracking framework paired with an improved JAYA algorithm tracked the global power point of partially ...
A new three-port DC–DC converter design uses an improved Gray Langurs Optimizer to cut a measured weighted RMS-current metric by ...
A new hybrid metaheuristic combining multiverse-inspired exploration with pyramid-construction-style refinement reports superior accuracy and robustness on benchmark and engineering optimization ...
A hybrid LSTM-ARO-VMD framework that jointly tunes signal decomposition and neural network hyperparameters cut forecasting errors across seven international stocks, ...
A simulation study reports that a modified Fire Hawk Optimizer with time-varying control parameters improves direction-of-arrival estimation accuracy for a ...
A hybrid neural network tuned by the Coati Optimization Algorithm achieved a 97.244 percent coefficient of determination in hourly solar ...
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