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YOLOv8 forestry pest recognition based on improved re-parametric convolution
Published 2025-03-01“…Further optimization was achieved through model pruning, which contributed to additional lightweighting of the model. …”
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2623
Engineering oriented shape optimization of GHT-Bézier developable surfaces using a meta heuristic approach with CAD/CAM applications
Published 2025-08-01“…The shape control parameters are considered as optimization variables. So, our aim is to find the optimal shape control parameters by applying the I-GWO algorithm to the optimization models through an iterative process. …”
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2624
Resilient Transportation Network Design under Uncertain Link Capacity Using a Trilevel Optimization Model
Published 2022-01-01“…This study addresses uncertainty in a transportation network by proposing a trilevel optimization model, which improves resiliency against uncertain disruptions. …”
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2625
Identifying, Evaluating and Ranking Effective Factors in Improving the Quality of War Tourism in Iran (Rahyan Noor Travels)
Published 2023-02-01“…Due to the uncertainty in determining the importance of the factors based on every criterion, ranking is based on the Fuzzy TOPSIS algorithm. Findings: According to the results, optimizing camp time has been selected as the first and most crucial factor, with a relative proximity index of 0.53467. …”
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2626
A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment
Published 2025-07-01“…This study presents a Securing Attack Detection through Deep Belief Networks and an Advanced Metaheuristic Optimization Algorithm (SADDBN-AMOA) model in smart city-based IoHT networks. …”
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2627
Optimizing Multi-Quay Combined Berth and Quay Crane Allocation Using Computational Intelligence
Published 2024-09-01“…First, the study develops a mathematical model representing a real port environment and then adapts the cuckoo search algorithm (CSA) for the first time in this setup. …”
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2628
An Optimization Method for Green Permutation Flow Shop Scheduling Based on Deep Reinforcement Learning and MOEA/D
Published 2024-10-01“…To improve the quality of solutions, the study first employs DRL to model the PFSP as a sequence-to-sequence model (DRL-PFSP) to obtain relatively better solutions. …”
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2629
Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization
Published 2025-01-01“…This algorithm combines spectral extremum detection with information entropy filtering to select the most representative bands by considering multidimensional information. …”
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2630
Smart deep learning model for enhanced IoT intrusion detection
Published 2025-07-01“…The optimized SNN model also performed well on the NSL-KDD dataset with an accuracy of 99.0% and an AUC of 1.00. …”
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2631
Maximum Torque per Ampere Control of PMSMs Using Real-Time Numerical Optimization
Published 2025-01-01“…A flux-linkage based nonlinear PMSM model was developed to improve the torque control under dynamic conditions. …”
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2632
PCA-Kriging-Based Oscillating Jet Actuator Optimization and Wing Separation Flow Control
Published 2024-11-01“…The optimization objectives are to improve the sweeping uniformity and range of the jet. …”
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2633
A Smooth Jump Point Search Algorithm for Mobile Robots Path Planning Based on a Two-Dimensional Grid Model
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2634
Optimal Configuration Method for Electric-thermo-hydrogen System Considering Safety Risks
Published 2024-09-01“…Furthermore, the safety risk coefficient is used to convert the safety risk of the hydrogen storage tank into the objective function. The optimal configuration model of the ETHS is then established with the system investment cost, operation cost, and safety risk as optimization objectives, and the tabu chaotic quantum particle swarm optimization (TCQPSO) algorithm is employed to solve the model. …”
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2635
Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making
Published 2025-05-01“…Secondly, this study compares seven heuristic algorithms—the genetic algorithm (GA), particle swarm optimization (PSO), the tabu search (TS), genetic-particle swarm optimization (GA-PSO), the gray wolf optimizer (GWO), and ant colony optimization (ACO)—to solve the TOPSIS model, with GA-PSO performing the best. …”
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2636
An Innovative Indoor Localization Method for Agricultural Robots Based on the NLOS Base Station Identification and IBKA-BP Integration
Published 2025-04-01“…Next, the collected received signal strength indication (RSSI) data are processed using Kalman filtering and Min-Max normalization, suppressing signal fluctuations and accelerating the gradient descent convergence of the distance measurement model. Finally, the improved black kite algorithm (IBKA) is enhanced with tent chaotic mapping, a lens imaging reverse learning strategy, and the golden sine strategy to optimize the weights and biases of the BP neural network, developing an RSSI-based ranging algorithm using the IBKA-BP neural network. …”
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2637
Midspan Deflection Prediction of Long-Span Cable-Stayed Bridge Based on DIWPSO-SVM Algorithm
Published 2025-05-01“…The DIWPSO algorithm dynamically adjusts the inertia weight to balance global exploration and local exploitation, optimizing SVM parameters for improved performance. …”
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2638
A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources
Published 2025-03-01“…Additionally, an enhanced Kepler Optimization Algorithm (EKOA) was proposed, incorporating chaos mapping and adaptive learning rate strategies to improve search scope, convergence speed, and solution efficiency. …”
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2639
Optimization of Vessel Traffic Scheduling in a Compound Channel of an Estuarine Port with Opposing Distribution of Inner Anchorages and Terminals
Published 2025-03-01“…The entropy-weighted technique for order preference by similarity to ideal solution (TOPSIS) is used to calculate the objective weights of the Pareto frontier and identify the optimal solution. Experimental results show that the proposed model and algorithm yield optimal port entry and exit scheduling solutions. …”
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2640
Multi-Objective Optimization of Daylighting–Thermal Performance in Cold-Region University Library Atriums: A Parametric Design Approach
Published 2025-02-01“…In this paper, we take the library project in the cold region as a practical case, use the measured data to support the simulation experiment, combine the parametric platform and multi-objective coupling optimization algorithm to carry out digital modeling, and explore the dynamic relationship between the atrium light, heat environment, and the value of energy consumption under the influence of a variety of parameters. …”
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