A comprehensive review synthesizes artificial intelligence applications across solar photovoltaic systems, highlighting performance gains alongside critical data management and computational ...
Researchers developed a dynamic risk identification and defense framework combining genetic rough set feature selection with a serial Transformer and ...
A computational study reveals that Bayesian co-kriging combined with Proper Orthogonal Decomposition outperforms multi-fidelity neural networks when optimizing turbomachinery blade ...
Visual HeatMap explanations significantly lowered mental workload and increased willingness to adopt AI conflict-resolution tools among both student and expert ...
Researchers developed a computational intelligence framework combining material databases and hybrid optimization to streamline functionally graded material design before experimental ...
Researchers have formulated an analytical framework reviewing how evolutionary and swarm-based optimization algorithms balance embedding capacity, visual imperceptibility, and attack ...
A two-stage hybrid quantum-classical neural network automatically evolved from Sentinel-2 satellite time series matched classical regression baselines and improved pre-harvest ...
Researchers have introduced Ab-Affinity, a fine-tuned protein language model that guides the computational design and optimization of synthetic antibodies targeting ...
A new computational framework integrates genetic algorithms, neural networks, and reinforcement learning to optimize robotic kinematics and control, significantly reducing ...
A coupled genetic algorithm and artificial neural network model evaluated rainfall-driven moisture changes and degradation risks across unpaved roads in ...
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