Chaotic fire hawk and pufferfish algorithm targets energy-aware resource allocation in B5G IoT networks
A simulation study in Cluster Computing reports that a hybrid chaotic fire hawk and pufferfish optimization algorithm lowered energy use ...
A simulation study in Cluster Computing reports that a hybrid chaotic fire hawk and pufferfish optimization algorithm lowered energy use ...
A hybrid machine learning model combining support vector regression with metaheuristic optimization predicted effluent total nitrogen at a full-scale Chinese ...
A six-parameter steady-state fuel-cell model fitted with Enhanced Artificial Rabbits Optimization produced very low voltage errors on both a 5-watt ...
An Aquila-optimized XGBoost model achieved an R² of 0.980 for predicting soaked CBR in 90 geosynthetic-reinforced subgrade tests, outperforming three ...
A 246-point magnetic survey at Indonesia’s Benowo landfill identified anomaly zones that may mark preferential subsurface leachate pathways, while source ...
A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...
A new deep learning framework that passively reads smartphone sensor data from college students can detect depression and stress, but ...
A two-layer swarm intelligence framework from Xidian University and CETC researchers coordinates heterogeneous unmanned swarms by coupling task allocation with ...
A new systematic review of 40 studies maps 25 years of One-Parameter-at-a-Time combinatorial testing research, revealing critical trade-offs between test ...
Researchers have combined Nyquist-plot geometry with a two-stage marine predator optimizer to identify fractional-order battery model parameters with over 90 ...
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© 2026 Scienmag - Science Magazine