Results of the study of source conditions indicative factors of parodontal status and local immunity of oral cavity besides flying personnel of the civil aviation by G. G. Ashurov, M. K. Shokirov, S. M. Karimov

“…Study the source condition of parodontal structures and local immunity of oral cavity besides flying composition of the civil aviation for the reason improvements of the algorithm treatment-preventive action of dentistry nature.MATERIALS AND METHODS. …”
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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…Notably, the algorithm effectively handles complex geometric features, such as holes and grooves, and offers flexibility in generating point cloud data in both local and global coordinate systems. …”
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Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms by Faten Aljalaud, Yousef Alohali

“…These findings establish a novel and impactful benchmark for comparing global and local optimization strategies in multi-UAV tasks, offering researchers and practitioners critical insights for selecting efficient and sustainable approaches to UAV operations in complex inspection environments.…”
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Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco) by Ladel Latifa, Mastere Mohamed, Kader Shuraik, Spalević Velibor, Dudic Branislav

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Mapping groundwater potential zone by robust machine learning algorithms & remote sensing techniques in agriculture dominated area, Bangladesh by M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md Fuad Hassan

“…The enhancement of human accessibility to sufficient quantities and high-quality groundwater resources is one of the major goals of this research. Several machine learning algorithms and analytical hierarchy process (AHP) models along with geographic information systems (GIS) software integrate sixteen thematic layers, including elevation, slope, soil types, topographic wetness index (TWI), normalized difference water index (NDWI), normalized difference vegetation index (NDVI), curvature, soil permeability, physiography, topographic position index (TPI), terrain roughness index (TRI), stream power index (SPI), distance from river, rainfall, drainage density, and land use land cover (LULC) to create a groundwater potential zone map. …”
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A Low-Carbon Scheduling Method for Container Intermodal Transport Using an Improved Grey Wolf–Harris Hawks Hybrid Algorithm by Meixian Jiang, Shuying Lv, Yuqiu Zhang, Fan Wu, Zhi Pei, Guanghua Wu

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A Cost-Benefit Analysis of Capacitor Allocation Problem in Radial Distribution Networks Using an Improved Stochastic Fractal Search Algorithm by Phuoc Tri Nguyen, Thi Nguyen Anh, Dieu Vo Ngoc, Tung Le Thanh

“…This research proposes a modified metaheuristic optimization algorithm, named as improved stochastic fractal search (ISFS), which is formed based on the integration of the quasiopposition-based learning (QOBL) and chaotic local search (CLS) schemes into the original SFS algorithm for solving the optimal capacitor placement (OCP) in radial distribution networks (RDNs). …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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Research on machine vision online monitoring system for egg production and quality in cage environment by Zhenlong Wu, Hengyuan Zhang, Cheng Fang

“…This study introduces an online monitoring system designed for egg quality assessment within caged environments, incorporating a robotic patrol system for egg localization and a fixed video stream for quality analysis. …”
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Unmanned trackless rubber wheeler based on LD improved Cartographer mapping algorithm underground SLAM autonomous navigation method and test by Fangwei LI, Jiusheng BAO, Chen WANG, Xiaoming YUAN, Yan YIN, Shirong GE, Maosen WANG, Yuhan LV

“…In order to solve this problem, it is necessary to research and develop efficient and accurate mapping algorithms to support the safety and reliability of unmanned underground operation. …”
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Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms by Gyan Singh, Saptadeep Biswas, Absalom El-Shamir Ezugwu, Vladimir Simic, Uttam Kumar Bera, Kashif Saleem, Laith Abualigah

“…Abstract Metaheuristic algorithms are crucial for solving intricate optimization problems in diverse fields. …”
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Multi-stage bidirectional informed-RRT * plant protection UAV path planning method based on A * algorithm domain guidance by Jian Li, Jian Li, Yuan Gao, Yuan Gao, Zheng Li, Zheng Li, Weijian Zhang, Weijian Zhang, Weilin Yu, Weilin Yu, Yating Hu, He Liu, Changtian Li

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Research of Dynamic Obstacle Avoidance of Manipulator based on Artificial Potential Field Method of Velocity Field by Shi Yafei, Zhang Li, Liu Zixuan, Lü Yiping

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Government-Expert Joint Intervention with Treatment Algorithm and Improved Hypertension Management and Reduced Stroke Mortality in a Primary-Care Setting by Mulalibieke Heizhati, Nanfang Li, Delian Zhang, Suofeiya Abulikemu, Guijuan Chang, Jing Hong, Nuerguli Maimaiti, Junli Hu, Lei Wang, Gulinuer Duiyimuhan

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A Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services by charu awasthi, Satya Prakash, Prashant Kumar Mishra

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Research on Power Conversion and Control Technology of Ocean Buoy Tidal Energy Power Supply System by Changpo Song, Fengyong Sun, Fan Yang

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Research on SOC Prediction of Lithium-Ion Batteries Based on OLHS-DBO-BP Neural Network by Genbao Wang, Yejian Xue, Yafei Qiao, Chunyang Song, Qing Ming, Shuang Tian, Yonggao Xia

“…The results indicate that the proposed algorithm in this paper has an average SOC estimation error of less than 1.6% and a maximum error within 2.9%, demonstrating relatively high estimation accuracy and robustness, and it holds certain theoretical research significance.…”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

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Research on the policy inconsistency, network motifs and low carbon effects for municipal solid waste management by Bo Lv, Tianxu Cui, Daiheng Li, Weiyue Yao

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High-Precision Localization Tracking and Motion State Estimation of Ground-Based Moving Target Utilizing Unmanned Aerial Vehicle High-Altitude Reconnaissance by Xuyang Zhou, Wei Jia, Ruofei He, Wei Sun

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