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381
Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection
Published 2025-01-01“…Such an integration acted as regular convolutional layers that subsequently substituted for the original layers to cut computational costs. Furthermore, we adopted the SIoU loss function, a modified version of CIoU, applied to the YOLOv8s model, demonstrating a substantial improvement in accuracy. …”
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382
Load demand forecasting in air conditioning a rotor Hopfield neural network approach optimized by a new optimization algorithm
Published 2025-05-01“…The RHNN/FO-SOA method may contribute to improve energy performance and reduce costs in air conditioners, shown by the findings.…”
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383
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384
Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method
Published 2024-01-01“…In this research, the improved nondominant sorting genetic algorithm is proposed to solve the problem, and the results of the proposed method are also compared with the conventional genetic and particle swarm optimization algorithms. …”
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385
Adaptive Grasp Pose Optimization for Robotic Arms Using Low-Cost Depth Sensors in Complex Environments
Published 2025-02-01“…Unlike traditional deep learning methods, which suffer from high data dependency and inefficiency with low-precision point clouds, the proposed approach uses ellipsoidal modeling to overcome these issues. The algorithm segments the target and then applies a three-stage optimization to refine the grasping path. …”
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386
Research on Optimal Site Selection for Offshore Wind Farms Substation
Published 2020-07-01“…Site selection of offshore substation plays a vital role for wind farm investment cost. This paper presents a method for optimal substation site selection for offshore wind farms substation. …”
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387
Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots
Published 2025-01-01Get full text
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388
An improved particle swarm optimization for multilevel thresholding medical image segmentation.
Published 2024-01-01Get full text
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389
Optimizing Energy and Cost Performance in Residential Buildings: A Multi-Objective Approach Applied to the City of Patras, Greece
Published 2025-06-01“…The results confirmed the algorithm’s robustness in producing technically feasible and non-dominated solutions, while also highlighting the sensitivity of optimization outcomes to hyperparameter tuning. …”
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390
A solution to the Single-School school bus routing problem considering accessibility and economy
Published 2025-07-01“…A well-designed SBRP strategy can reduce the operating costs of the school bus system, improve accessibility, and ensure timely arrival for teachers and students. …”
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391
Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm
Published 2025-03-01“…The improved particle swarm algorithm converges to an optimal solution of –19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, –9.665]. …”
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392
An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm
Published 2025-03-01“…These results improve over those obtained by the Ant Lion Optimizer, which reported a minimum root mean square error of 0.001804 and a root mean square error of 0.001896 on average with a standard deviation of 3.788%.Additionally, the study highlights the efficiency of the Multiverse Optimization Algorithm in processing time, with an average execution time of 223.65 seconds. …”
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393
Cost-effective process design for methanol synthesis from carbon dioxide hydrogenation
Published 2025-09-01“…To improve the feasibility of products produced from CO₂ and enhance CO₂ utilization, thereby reducing environmental impact, a cost-effective process must be developed. …”
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394
Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm
Published 2025-12-01“…This results indicated that the particle swarm optimization algorithm could provide efficient, cost-effective, and high-quality optimization solutions for engineering project management. …”
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395
Fuzzy Controller Design Optimized by the Grasshopper Algorithm to Realize Maximum Power in Photovoltaic Systems
Published 2024-08-01“…In this paper, a fuzzy controller is presented in order to achieve the maximum power in a solar cell. For improvement of the controller performance and achievement of the maximum power, the fuzzy controller variables are improved by the Grasshopper Optimization Algorithm (GOA). …”
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396
Transportation Path Optimization of Modern Logistics Distribution considering Hybrid Tabu Search Algorithm
Published 2021-01-01“…The optimization of transportation path for distribution vehicles, which is about the mixed tabu search method, can not only reduce the cost but also improve the optimization of the vehicle transportation path. …”
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397
An Improved KF-RBF Based Estimation Algorithm for Coverage Control with Unknown Density Function
Published 2019-01-01“…Compared with the other estimation algorithms, a novel sampling regulation mechanism is designed to improve the estimation performance and reduce the computational load. …”
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398
BDCOA: Wavefront Aberration Compensation Using Improved Swarm Intelligence for FSO Communication
Published 2024-11-01Get full text
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399
Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization
Published 2011-01-01“…With combination of particle swarm optimization algorithm and bacterial foraging optimization, an improved BFO-PSO optimized algorithm based on the random inertia factor and asynchronous time-dependent learning factor is used to solve optimal design,s problems of passive filter parameters for hybrid active filter. …”
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400
The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach
Published 2025-02-01“…The speed resolution adaptive adjustment algorithm improves the ability to pass through a complex multiple-obstacle area, and the dynamic obstacle prediction algorithm optimizes obstacle avoidance paths. …”
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