Visual SLAM algorithm for underground robots in coal mines based on point-line features by Li WANG, Tianxiang ZANG, Bo SU

“…The experimental results on the EuRoC dataset show that the APE(Absolute Pose Error) index of SL-SLAM is better than other comparison algorithms, and the trajectory prediction results closest to the true value are obtained, and the root mean square error is reduced by 17.3% compared with ORB-SLAM3. …”
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Design of netted muskmelon digital twin growth model based on HMM+LSTM algorithm by LU Peng, LIU Mingtang, WU Shanshan, LI Bin, LI Shihao, WANG Changchun, YANG Yangrui, JIANG Enhui

“…The digital twin model was developed using 3ds Max for 3D modeling and Unity 3D for visualization, while the growth prediction model was built by integrating Hidden Markov Model (HMM) and Long Short-Term Memory (LSTM) algorithms. …”
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Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms by Hossein Moayedi, Azfarizal Mukhtar, Nidhal Ben Khedher, Isam Elbadawi, Mouldi Ben Amara, Quynh TT, Nima Khalilpoor

“…Multilayer perceptrons (MLP) are combined with various nature-inspired optimization algorithms, such as Heap-Based Optimizer (HBO), Teaching-Learning-Based Optimization (TLBO), Whale Optimization Algorithm (WOA), Vortex Search algorithm (VS), and Earthworm Optimization Algorithm (EWA), to create a dependable predictive network that takes the complexity of the problem into account. …”
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What is the role of artificial intelligence in general surgery? by Seung Min Baik, Ryung-Ah Lee

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Image fusion, based on data from sources of a various spectral range by D. S. Sharak, E. I. Mikhnionok, A. S. Shein, A. V. Khizhniak

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Bio inspired multi agent system for distributed power and interference management in MIMO OFDM networks by R. Kanmani, S. Mary Praveena

“…Results demonstrate that TCO-MAS outperformed conventional algorithms, achieving a 20% higher sum rate and 15% better energy efficiency under high-load conditions. …”
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Incorporating environmental data to refine the classification and understanding of the mechanisms behind encroachment of a woody species in the Southern Great Plains (USA) by Justin Dawsey, Nancy E. McIntyre

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Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction by Cong Lei, Rong Liu, Ye Tian

“…We propose a two-stage, evolutionary-based EE algorithm, referred to as TSEA, designed to confront these issues. …”
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DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

“…As a computer vision task, object detection algorithms can be applied to various real-world scenarios. …”
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Path Planning for Dragon-Fruit-Harvesting Robotic Arm Based on XN-RRT* Algorithm by Chenzhe Fang, Jinpeng Wang, Fei Yuan, Sunan Chen, Hongping Zhou

“…The simulation of a six-degree-of-freedom robotic arm in a pitaya orchard environment using the ROS2 platform shows that the XN-RRT* algorithm achieves a 98% picking path planning success rate, outperforming the RRT* algorithm by 90.32%, with a 27.12% reduction in path length and a 14% increase in planning success rate. …”
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GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm by Xiangqiang Kong, Guangmin Liu, Yanchen Gao

“…Experimental results demonstrate that, in contrast to the original YOLOv8n model, the GESC-YOLO algorithm boosts the mean Average Precision (mAP) of PCB surface defects by 0.4%, reaching 99%. …”
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Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors by Masmur Tarigan, Ford Lumban Gaol, Tuga Mauritsius, Widodo Budiharto

“…Empirical results demonstrate that GASS achieves up to a 45.3% reduction in makespan within the flexible packaging industry, showcasing its ability to enhance scheduling efficiency and adaptability. …”
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An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation by Longda Wang, Yanjie Ju, Long Guo, Gang Liu, Chunlin Li, Yan Chen

“…This study proposes a novel effective improved whale optimization algorithm via angle penalized distance (IWOA-APD) for automatic train operation (ATO) to effectively improve the ATO quality. …”
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3-D Moving Target Localization in Multistatic HFSWR: Efficient Algorithm and Performance Analysis by Xun Zhang, Jun Geng, Yunlong Wang, Yijia Guo

“…In this paper, we develop a two-stage localization algorithm that first derives a weighted least-squares (WLS) coarse estimate and then performs an algebraic error reduction (ER) procedure to enhance accuracy. …”
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Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm by Tawfiq Hasanin, Aisha Alsobhi, Adil Khadidos, Ayman Qahmash, Alaa Khadidos, Gabriel Ayodeji Ogunmola

“…In an edge computing system, devices can offload their computation-intensive tasks to the edge servers to save energy and shorten their latency. The bald eagle algorithm (BES) is the advanced optimization algorithm that resembles the strategy of eagle hunting. …”
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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing by Wenwei Su, Yan Shi

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Real time broadcast scheduling in TSCH for smart healthcare using cuckoo search algorithm by L. Pavithra, D. Rekha

“…To this end, the proposed method employs Genetic Algorithm (GA), Immune Genetic Algorithm (IGA), and Cuckoo Search Algorithm (CSA) to optimize TSCH scheduling. …”
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Construction of a glycolysis-related diagnostic model for osteoarthritis through integrated bioinformatics analysis and machine learning by Wangnan Mao, Zhengsheng Bao, Bingbing Zhang, Lianguo Wu

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FEATURES OF USING AUGMENTED REALITY TECHNOLOGY TO SUPPORT EDUCATIONAL PROCESSES by Yury A. Kravchenko, Andrey A. Lezhebokov, Sofya V. Pashenko

“…The paper discusses the concept and technology of augmented reality, the rationale given the relevance and timeliness of its use to support educational processes. Paper is a survey and study of the possibility of using augmented reality technology in education. …”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…This study introduces an SBO framework tailored for Gaussian process regression models, featuring an automatic kernel construction algorithm coupled with a beam search strategy (AKC-GPR). …”
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