Neural networks outshine regression in forecasting Germany’s energy demand to 2050
A controlled comparison of regression, econometric, and machine learning models on German data finds that the most accurate historical model ...
A controlled comparison of regression, econometric, and machine learning models on German data finds that the most accurate historical model ...
A hybrid particle swarm and evolutionary optimization algorithm uses multilevel thresholding to isolate green maize seedlings from complex field backgrounds ...
A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified Alzheimer's disease stages from MRI ...
A particle swarm optimization strategy that dynamically selects the most informative clients in federated learning matches state-of-the-art methods for medical ...
A hybrid framework that lets a Proximal Policy Optimization agent switch among six search strategies cut simulated urban vehicle waiting ...
A PSO-fused model combining text, speech and video representations reached 94.0% accuracy on 690 labeled television-dialogue utterances in the MUStARD ...
A computational study on 10 benchmark datasets found that MFLRA outperformed eight comparison methods by combining multi-order relevance, label uncertainty ...
Researchers used adaptive genetic and particle swarm-optimized neural networks to convert oil-based drilling cuttings into Na-X zeolite with record ammonia ...
A new difficulty-aware Transformer framework jointly optimized by particle swarm intelligence improves sports score trend prediction while attributing forecasts to ...
A large language model that forecasts load during maintenance windows helps cut cumulative outage risk from 38.1 to 2.6 on ...
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© 2025 Scienmag - Science Magazine