Results 141 to 150 of about 5,049 (236)
A preference‐integrated optimization system for medical physics shift scheduling
Abstract Background Clinical shift scheduling for medical physicists is challenging given multidisciplinary roles and competing clinical, research, and service demands. Manual workflows often lack the flexibility and transparency needed for this complex field.
Benjamin S. Rosen +22 more
wiley +1 more source
A Bio-Inspired Comprehensive Learning Strategy-Enhanced Parrot Optimizer: Performance Evaluation and Application to Reservoir Production Optimization. [PDF]
Yu B, Zhang Y.
europepmc +1 more source
A novel adaptive weighted ensemble framework integrating BiGRU, enhanced attention‐based TCN, and linear regression improves one‐hour‐ahead PM10 forecasting by jointly capturing sequential dependencies, multi‐scale temporal patterns, and residual linear relationships.
Huseyin Cagan Kilinc +4 more
wiley +1 more source
A Novel Binary Dream Optimization Algorithm with Data-Driven Repair for the Set Covering Problem. [PDF]
Crawford B +9 more
europepmc +1 more source
SCAPS‐1D modeling shows that bandgap‐engineered Se0.75Te0.25 (Eg ≈ 1.35 eV) can support high‐efficiency thin‐film photovoltaics through absorber, interface, and rear‐contact optimization. A MoOx‐based device reaches 21.94% PCE, while an HTL‐free configuration with a 5.5 eV rear‐contact work function achieves 21.59%.
Saif M. H. Qaid +6 more
wiley +1 more source
EKEO: An Enhanced Kangaroo Escape Optimizer with Balanced Search for Global Optimization and Engineering Design. [PDF]
Zhu X +5 more
europepmc +1 more source
New multimedia applications are emerging at a rapid rate, propelling an exponential rise in mobile internet traffic and increasing the bar for next‐generation wireless networks in service quality. This indicates the rapid advancement of wireless communication technology.
Ruchi Kawatra +5 more
wiley +1 more source
Solving multi-depot closed-path multiple traveling salesman problem using k-means++ hierarchical clustering and neural combinatorial networks. [PDF]
Zhao CS, Wong LP, Fung C.
europepmc +1 more source
CatBoost–PSO accurately predicts wax appearance temperature from oil density, wax content, and pour point temperature, achieving R2 = 0.9760 and RMSE = 1.8106 K. External validation, SHAP interpretation, and low computational cost support rapid wax‐risk screening for subsea pipeline flow assurance.
H. M. Rayhan Rifat +2 more
wiley +1 more source
Metaheuristic-Optimized Convolutional Neural Network for Automated Diagnosis of Viral Pneumonia and Tuberculosis from Chest X-Rays. [PDF]
Hermosilla P +5 more
europepmc +1 more source

