Neural Network Cuts Surface Roughness Prediction Error in Machined Aluminium Composite
A neural network reduced surface roughness prediction errors by 64.6 percent when optimizing die-sinking electrical discharge machining for boron carbide ...
A neural network reduced surface roughness prediction errors by 64.6 percent when optimizing die-sinking electrical discharge machining for boron carbide ...
Researchers have introduced Ab-Affinity, a fine-tuned protein language model that guides the computational design and optimization of synthetic antibodies targeting ...
Researchers developed VOL-Gene, a graph-based clustering method that partitions human genes into exclusive functional categories to annotate understudied genetic markers.
A factorial study of 42 quantum algorithm variants finds that physics-informed initialization dramatically improves low-budget power grid scheduling but collapses ...
Researchers developed a hybrid workflow scheduling algorithm that significantly improves efficiency, execution cost, and virtual machine utilization in fog computing ...
A closed-loop AI framework combines SegNet segmentation, space syntax analysis, and hybrid NSGA-II–Simulated Annealing optimization to generate age-friendly homestay renovation ...
A systematic study of 603,000 configurations shows that optimization algorithms can find Newton–Raphson starting values for homomorphic division and square ...
Chinese researchers have built an interpretable FTIR spectroscopy and machine learning framework that reliably distinguishes raw, nine-steamed-and-nine-sun-dried, honey-processed, and wine-processed ...
A new study casts motor-imagery EEG ensemble design as simulated-annealing search over nearly 10^20 graph topologies, and finds that noisy ...
Researchers at NIT Durgapur compared NSGA-II, MOSA, and Bayesian optimization for designing tiny keyword spotting models, finding MOSA most reliable ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine