Dynamic Path Optimization Based on Improved Ant Colony Algorithm by Juan Cheng

“…Through the actual investigation and analysis, the influencing factors of the multiobjective planning model were determined. The ant colony algorithm was improved by using the analytic hierarchy process (AHP) to transform path length, travel time, and traffic flow into the comprehensive weight-influencing factor. …”
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Nighttime Vehicle Detection Algorithm Based on Improved YOLOv7 by Fan Zhang

“…Aiming at the problems of low visibility, fuzzy target features and high leakage rate of small targets in nighttime vehicle detection, this paper proposes a nighttime vehicle detection algorithm E-YOLOv7 based on the improved YOLOv7. Firstly, a hybrid feature enhancement module (SFE) is designed to enhance the expression of key features through the grouped-channel attention mechanism and feature reorganization to alleviate the loss of semantic information caused by fuzzy features of nighttime vehicles. …”
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Benchmarking and improving algorithms for attributing satellite-observed contrails to flights by A. Sarna, V. Meijer, R. Chevallier, A. Duncan, K. McConnaughay, S. Geraedts, K. McCloskey

“…In this work, we present a method for producing synthetic contrail detections with predetermined contrail-to-flight attributions that can be used to evaluate – or “benchmark” – and improve such attribution algorithms. The resulting performance metrics can be employed to understand the implications of using these observational data in downstream tasks, such as forecast model evaluation and the analysis of contrail avoidance trials, although the metrics do not directly quantify real-world performance. …”
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Lightweight insulator target detection algorithm based on improved YOLOX by Bing Zeng, Wei Hua, Dezhi Li, Zhihao Zhou, Hao Wan, Yunmin Xie, Tangbing Li, Yucong Chen, Jianglei Li, Shenli Wang, Shixun Fu, Zihan Jin, Wenhua Zhang

“…First, Depthwise Separable Convolutions (DWConv) are employed to replace traditional convolutions, simplifying the model structure and reducing parameter count. Second, the Spatial Pyramid Pooling Fast-N (SPPF-N) module is introduced to substitute the traditional SPP module, and the last CSPLayer is removed, further compressing parameters while improving detection speed. …”
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A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm by Fang Zhou, Zhikuan Jiao, Guoqing Shen, Mengdao Xing, Marina Gashinova

“…At the same time, considering the problem of low utilization of spectrum in multiangle imaging SAR, an improved range migration algorithm is proposed, which can effectively increase the utilization of the spectrum for data processing. …”
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Photovoltaic MPPT Control Method Based on Improved Firefly Algorithm by ZHANG Peng, LUO Zhenghua, TANG Chengda, HUANG Jiangang

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Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain by Qi Wang, Wenjun Yi

“…The experimental evaluation of 23 benchmark functions, the simulation test of the 3D city model, and 100 repetitive experiments demonstrate that the composite improved algorithm has a considerable advantage over the other comparative algorithms regarding performance. …”
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Modelling of an imprecise sustainable production control problem with interval valued demand via improved centre-radius technique and sparrow search algorithm by Hachen Ali, Md Sadikur Rahman, Ali Akbar Shaikh, Adel Fahad Alrasheedi, Jeonghwan Gwak

“…To tackle this interval optimisation problem, an improved c-r optimisation technique and the meta-heuristic algorithm Sparrow Search algorithm (SSA) are employed. …”
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Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control. by Ahmed M Hassan, Jafar Ababneh, Hani Attar, Tamer Shamseldin, Ahmed Abdelbaset, Mohamed Eladly Metwally

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An indoor Wi-Fi access points localization algorithm based on improved path loss model parameter calculation method and recursive partition by Wenyan Liu, Xiangyang Luo, Qing Mu, Yimin Liu, Fenlin Liu

“…An indoor Wi-Fi access points localization algorithm based on improved path loss model parameter calculation method and recursive partition is proposed in this article. …”
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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

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Research on Thickness Error Optimization Method of Rolling System Based on Improved Sparrow Search Algorithm–Bidirectional Long Short-Term Memory Network–Attention by Qingyun Wu, Xinchen Li, Jiafei Ji, Bowen Xing

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Designing a new optimal controller for a PEMFC by an improved design of the Coot Optimizer by Zheng Wang, Mehrdad Rezaie, Gholamreza Fathi

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Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating by ShengShai Zhang, Shiping Chen, Xiaodong Yu, Shaowei Mei

“…Finally, analyses conducted using two distinct datasets indicated that our enhanced KUR-CF model achieved improvements in Precision values by 60% and Recall values by 35%, relative to other conventional collaborative filtering algorithms. …”
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Design of a Suspension Controller with Human Body Model for Ride Comfort Improvement and Motion Sickness Mitigation by Jinwoo Kim, Seongjin Yim

“…This paper presents a method to design a suspension controller with a human body model for ride comfort improvement and motion sickness mitigation. …”
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Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm by Yang Yang, Huiwen Hou, Gang Yao, Bo Wu

“…The results show that for the amplitude prediction of the main girder, the backpropagation neural network model is the most effective. The most improved algorithm yields an RMSE of 0.150 and an R² of 0.9898. …”
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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm by Shixing Zheng

“…Experimental results demonstrate that the improved SHO algorithm, integrating the logistic-KNN inertia weight optimization strategy and the entropy-based crossover-mutation mechanism, exhibits significant advantages in terms of convergence speed, solution accuracy, and algorithm stability. …”
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Improving Temperature Prediction Precision for Aerial Cameras by Correcting Structure and Parameters of Thermal Network Models by Yue Fan, Wei Feng, Zhenxing Ren, Bingqi Liu, Jinying Li

“…This paper introduces a methodology for improving the precision of temperature predictions generated by thermal network models for aerial cameras, which involves correcting the structure and parameters of the thermal network. …”
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An Improved sRGB Optical Algorithm Considering Thermal Effects and Adaptability for Low-Cost Automotive-Grade Dedicated LED Chips by Lingling Hong, Miao Liu

“…This study proposes an improved temperature model that integrates Fourier heat conduction and thermal resistance concepts to more accurately capture self-heating and power dissipation effects. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…To address the issues of slow convergence and large errors in existing metaheuristic algorithms when optimizing neural network-based subway passenger flow prediction, we propose the following improvements. …”
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