-
621
PARETO-OPTIMALITY AND L-OPTIMAL FOR SOLVING SOME CLASSES OF OPTIMAL CONTROL PROBLEM
Published 2017-10-01Get full text
Article -
622
Personalized-Template-Guided Intelligent Evolutionary Algorithm
Published 2025-08-01Get full text
Article -
623
Adaptive Optimization of Wind Environment in Coastal Village Spatial Forms of Western Guangdong
Published 2024-11-01Get full text
Article -
624
Optimization of Vertical Axis Wind Turbine Systems to Capture Vehicle-Induced Highway Winds
Published 2025-06-01Get full text
Article -
625
Comparative study of IoT- and AI-based computing disease detection approaches
Published 2025-03-01Get full text
Article -
626
Comprehensive Review of Edge Computing for Power Systems: State of the Art, Architecture, and Applications
Published 2025-04-01Get full text
Article -
627
Quantum chimp-enanced SqueezeNet for precise diabetic retinopathy classification
Published 2025-04-01Get full text
Article -
628
A Novel, Self-Adaptive, Multiclass Priority Algorithm with VM Clustering for Efficient Cloud Resource Allocation
Published 2025-02-01“…This algorithm implements a four-tiered prioritization system to optimize key objectives, including makespan and energy consumption, while simultaneously optimizing resource utilization, degree of imbalance, and waiting time. …”
Get full text
Article -
629
State of Charge Estimation for Li-Ion Batteries: An Edge-Based Data-Driven Approach
Published 2025-01-01Get full text
Article -
630
Training hybrid neural networks with multimode optical nonlinearities using digital twins
Published 2025-04-01Get full text
Article -
631
An Efficient Hybrid Meta-heuristic Algorithm for Solving Capacitated Vehicle Routing Problem
Published 2025-06-01Get full text
Article -
632
-
633
-
634
-
635
-
636
-
637
-
638
Performance Analysis and Optimization of Dual‐Row Vertical Axis Wind Turbines With Innovative Hybrid Blades
Published 2025-06-01“…Among the five main parameters analyzed, the tip speed ratio (λ) had the strongest influence on the performance, followed by the type of airfoils (α), radial ratio (δ), solidity ratio (σratio), and angular distance (ϕ), respectively. The optimization results identified the optimal operational point of the turbine at λ = 2, ϕ = 0, δ = 1.4, σratio = 1.5, and α = 21 (utilizing J‐shaped blades in the inner row and conventional blades in the outer row). …”
Get full text
Article -
639
-
640