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641
Crime Type Identification Using High-Order Deep Residual Network with Multiple Attention Algorithm
Published 2024-12-01Get full text
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642
Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method
Published 2025-06-01“…The second phase focuses on optimal feature selection using a Genetic Algorithm enhanced with eagle-inspired search strategies. …”
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643
Optimal Search Strategy of Robotic Assembly Based on Neural Vibration Learning
Published 2011-01-01“…Using optimal search strategy based on minimal distance path between vibration parameter stage sets (amplitude and frequencies of robots gripe vibration) and recovery parameter algorithm, we can improve the robot assembly behaviour, that is, allow the fastest possible way of mating. …”
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644
An Improved UNet-Based Path Recognition Method in Low-Light Environments
Published 2024-11-01“…The network structures of UNet, FCN, and SegNet are compared to identify and select the optimal structure for further improvement. Among the three attention mechanisms of channel attention, spatial attention, and combined attention, the most effective mechanism is identified. …”
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645
Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification
Published 2025-05-01“…For the LLCS dataset, For the LLCS dataset, the DPFCM_GK demonstrates significant improvement as the privacy budget increases, especially in low-budget scenarios, where the performance gap is most pronounced (T=4.20, 8.44, 10.92, 3.95, 7.16, 8.51, P < 0.05). …”
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646
Wireless Energy Transmission Link Optimization considering Microwave Energy Relay
Published 2020-01-01“…Based on the idea of microwave energy relay transmission, the paper constructs a microwave wireless transmission link planning model which considers power relay and uses the evolutionary algorithm to solve the wireless transmission link planning model with two-layer optimization. …”
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647
An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis
Published 2025-01-01“…This paper also uses genetic algorithm (GA) to optimize multiple data clustering spaces and improve clustering effect. …”
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648
Optimizing concrete strength: How nanomaterials and AI redefine mix design
Published 2025-07-01“…XGB was identified as the most effective ML algorithm for predicting compressive strength among others in this study (R2=0.974). …”
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649
CALCULATION METHODS OF OPTIMAL ADJUSTMENT OF CONTROL SYSTEM THROUGH DISTURBANCE CHANNEL
Published 2014-10-01“…As the automatic control system optimization with proportional plus reset controllers on disturbance channel is an unimodal task, the main algorithm of optimization is realized by Hooke – Jeeves method. …”
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650
RESEARCH ON PARAMETRIC ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION OF CYLINDRICAL PRESSURE STRUCTURE
Published 2021-01-01“…In order to improve the design efficiency and performance of the cylindrical pressure structure,strength and stability analysis methods were determined,the initial scheme was analyzed. the second development of Abaqus software was carried out by using Python language,Abaqus was integrated with i Sight software,the parametric analysis flow of pressure structure was designed,could realize automatic modeling and analysis of cylindrical pressure structure. the most Latin hypercube method was used to selectting the sample points,the sensitivity analysis of the design variables were carried out,The comparison of the fitting accuracy shown that the response surface model had the highest accuracy,the approximate model of the cylindrical pressure structure based on the fourth-order response surface was obtained. the multi-objective optimization model was established,The second generation of non dominated sorting genetic algorithm was used to solving the multi-objective optimization problem,the results shown that the weight of the optimization scheme was reduced,while the ultimate strength was greatly improved,improved the performance of the cylindrical pressure structure.…”
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651
Daily runoff forecasting using novel optimized machine learning methods
Published 2024-12-01“…In the Carson River, the GB model achieves the highest forecasting accuracy, which is significantly improved by ARO, resulting in a 24.8 % reduction in root mean square error (RMSE). …”
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652
Frequency Optimization Objective during System Prototyping on Multi-FPGA Platform
Published 2013-01-01“…Many scenarios are proposed to obtain the most optimized results in terms of prototyping system frequency. …”
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653
Optimization of Intelligent English Pronunciation Training System Based on Android Platform
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654
Multi-objective Optimization Design of Component Cooling System in HPR1000
Published 2025-03-01“…To manage this complexity, a novel optimization algorithm was implemented to perform multi-objective optimization. …”
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655
Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems
Published 2025-01-01“…In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North America. …”
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656
Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO
Published 2025-06-01“…Two feature selection mechanisms, which are Particle Swarm Optimization Algorithm (PSO) and Correlation-based Feature Selection Recursive Feature Elimination (RFE) have been used to compare their performances. …”
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657
Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning
Published 2025-03-01“…Grey Wolf Optimization (GWO) is one of the most popular algorithms for solving such problems. …”
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658
Bi-Objective Optimization of Product Selection and Ranking Considering Sequential Search
Published 2025-08-01“…Customer choices in online retailing are often influenced by sequential search behavior. However, most existing models ignore the dynamic property of this process. …”
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659
A New Image Encryption Method Using an Optimized Smart Codebook
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660
Bio inspired optimization techniques for disease detection in deep learning systems
Published 2025-05-01“…This work assists researchers in selecting the most effective bio-inspired algorithm for disease categorization, prediction, and the analysis of high-dimensional biomedical data.…”
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