One Hierarchy to Rule the Shop Floor: New Model Cuts Machine Downtime by Nearly 20 Percent
A hierarchical multi-criteria optimization model that jointly plans machines, transport, and storage boosted equipment efficiency by 15.11 percent and cut ...
A hierarchical multi-criteria optimization model that jointly plans machines, transport, and storage boosted equipment efficiency by 15.11 percent and cut ...
A new Scientific Reports study presents an interpretable ANFIS-NSGA-II framework that fuses seven wearable health risk modules into an auditable ...
A new multi-dimensional evaluation framework shows that the most accurate intrusion detection model is often not the best choice for ...
Researchers have combined conditional diffusion models with graph neural networks to generate coordinated energy schedules for building clusters, achieving a ...
Researchers at Dalian University of Technology combined 1,000 experimental identification runs with reliability-based robust optimization to cut high-speed spindle vibration ...
Researchers used explainable machine learning and multi-objective optimization to design a biodegradable Zn–Mg–Li alloy that overcomes the strength–ductility trade-off for ...
A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...
Researchers at the University of Catania have built a modular computational framework that ranks RNA-lipid nanoparticle formulations for safety and ...
Researchers have developed a lightweight deep learning framework that automatically segments liver anatomy and computes optimized, safety-aware needle trajectories for ...
A matched-budget study of LoRA fine-tuning finds that genetic algorithms and other search optimizers offer no consistent advantage over well-tuned ...
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© 2026 Scienmag - Science Magazine