Improving Prediction Algorithms for Cardiometabolic Risk in Children and Adolescents by Ulla Sovio, Aine Skow, Catherine Falconer, Min Hae Park, Russell M. Viner, Sanjay Kinra

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Improving Underwater Image Quality Using WZDN Algorithm by Blessa Binolin Pepsi M, Aswin S

“…Our approach involves correcting color distortion and restoring accurate color representation using a method called Wavelength Dehazing Zero Deep Network (WZDN). This algorithm enhances visibility and improves color fidelity by removing haze and adjusting colors to their true values. …”
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Multi-Strategy-Improvement-Based Slime Mould Algorithm by Donghai Huang, Tianbing Tang, Yi Yan

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ELECTRICITY QUALITY INDICATION IMPROVING ALGORITHM IN INDUSTRIAL ENTERPRISES by R. K. Gereykhanov

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Research on Improving Camshift Algorithm about Target Tracking by QIN Yong, SHANG Meng-meng, ZHAO Xiao-hong, GAI Jian-xin

“…For solving above shortcomings, the improving Camshit algorithm is proposed in this paper. …”
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Improvement of Differential Privacy K-means Clustering Algorithm by GUO Rumin, CHEN Xuebin, SHAN Liyang

“…Comparative experiments on three different feature datasets are conducted to evaluate the improved algorithm. The improved algorithm achieves a 14% increase in F-measure value, not only reducing the impact of added noise on clustering performance but also ensuring the usability of clustering results.…”
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Improved Snake Optimization Algorithm for Global Optimization and Engineering Applications by Kaiyuan Zheng, Huiyong Liu, Bopeng Li

“…To overcome these, this paper introduces the Multi-strategy Improved Snake Optimization Algorithm (ISO), which integrates six key strategies. …”
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ALGORITHM FOR SELECTION OF INDOOR PLANTS TO IMPROVE THE QUALITY OF INDOOR AIR by Ирина Игоревна Новикова, Наталья Федоровна Чуенко, Олег Андреевич Савченко

“…The article presents an algorithm of selection (calculation) the indoor plants intended to improve the quality of the air environment depending on the area of the preschool educational organizations, the type of plants, and their leaf apparatus. …”
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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

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Fog Visibility Detection of Highway Based on Improved Dark Channel Prior Algorithm by Huiqi Zhang, Yong Liu, Chenxi Wu

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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Improved ant colony algorithm based cloud computing user task scheduling algorithm by Sining LUO, Hualong WANG, Hongyu LI, Wei PENG

“…In recent years,with the development of power information,more and more power applications and tasks are deployed in the cloud.Because of the dynamic heterogeneity of cloud resources and power applications,it is a challenge in the cloud computing system to realize resource division and task scheduling.Power applications need to be able to achieve a rapid response and minimum completion time,and schedulers should consider the load of each cloud computing node to ensure the reliability of cloud computing.A task scheduling algorithm based on the algorithm of improving an ant colony was proposed to solve the problem of task scheduling in virtual machines.Through the improvement of the standard ant colony algorithm,the task scheduling time was reduced and load balancing was realized while minimizing the overall completion time.The results show that the algorithm can shorten the task scheduling time and realize the load balancing of cloud nodes,which provides technical basis for the optimization of power cloud computing.…”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…In this paper, we propose a new hybrid feature selection algorithm, to be named as Tandem Maximum Kendall Minimum Chi-Square and ReliefF Improved Grey Wolf Optimization algorithm (TMKMCRIGWO). …”
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Research on Gearbox Fault Diagnosis based on Improved LMD Algorithm by Haibo Xing, Yue Chen, Jinghao Li

“…Aiming at the fault diagnosis of gearbox，an Improved Local Mean Decomposition （ILMD） algorithm is proposed and applied to the extraction of fault features of gearbox. …”
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Improved RTAB-Map Algorithm Based on Visible Light Positioning by Po-Hao Hunag, Si-Chuan Liu, Cheng-Hsiung Yang

“…This research presents an improved RTAB-Map algorithm based on visible light positioning. …”
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An improved coarse alignment algorithm for SINS based on rotation modulation by Yong Yang, Donglin Li, Lingbing Kong, Kaijun Xu, Honghui Xiang

“…This paper proposes an improved coarse alignment algorithm by introducing single-axis continuous rotation modulation to compensate for the errors in gyroscopes and accelerometers, thus improving accuracy. …”
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Improved Firefly Algorithm with Variable Neighborhood Search for Data Clustering by Hayder Naser Khraibet Al-Behadili

“… Among the metaheuristic algorithms, population-based algorithms are an explorative search algorithm superior to the local search algorithm in terms of exploring the search space to find globally optimal solutions. …”
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Improved Field Obstacle Detection Algorithm Based on YOLOv8 by Xinying Zhou, Wenming Chen, Xinhua Wei

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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

“…Experimental results show that it outperforms other algorithms in accuracy and improves upon the original U-Net across all metrics, with mIoU (Mean Intersection over Union) and F1-Score increasing by 1.23% and 1.89%, respectively.…”
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Trajectory Tracking Control of Robot based on Improved Genetic Algorithm by Liu Yiyang, Liu Mingming

“…A kind of algorithm of trajectory tracking control of robot based on improved genetic algorithm is put forward. …”
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