Bee-Inspired Algorithm Tracks Hidden Contamination in City Water Pipes
Researchers coupled an improved artificial bee colony algorithm with EPANET simulations to simultaneously identify the location, timing, and concentration of ...
Researchers coupled an improved artificial bee colony algorithm with EPANET simulations to simultaneously identify the location, timing, and concentration of ...
Researchers have developed a physics-informed Kolmogorov–Arnold network that localizes multiple tunnel fire sources within about one meter and reconstructs the ...
A new convolutional neural network surrogate with leaky ReLU activation dramatically accelerates and sharpens the identification of hidden groundwater pollution ...
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© 2025 Scienmag - Science Magazine