Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction by Qian Zeng, Xiaobo Li, Yixuan Chen, Minghao Yang, Xingbang Liu, Yuetian Liu, Shiwei Xiu

“…We also design an improved service allocation strategy, MESDA, based on the Gray Wolf Optimization (GWO) algorithm. MESDA dynamically adjusts its exploration and exploitation components, and introduces a random factor to enhance the algorithm’s ability to determine the direction during later stages. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

“…The Louvain algorithm was used to divide the CMM graph network into communities to obtain CMM patterns. …”
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Electric Vehicle Charging Demand Prediction Model Based on Spatiotemporal Attention Mechanism by Yang Chen, Zeyang Tang, Yibo Cui, Wei Rao, Yiwen Li

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A Comprehensive Survey on the Usage of Machine Learning to Detect False Data Injection Attacks in Smart Grids by Kiara Nand, Zhibo Zhang, Jiankun Hu

“…It introduces a novel taxonomy categorizing detection methods based on key criteria such as AC and DC systems, performance metrics, bus size, algorithm selection, and specific subcategories of detection problems. …”
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Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…Application challenges involve reducing large datasets, grouping them into intervals, and evaluating performance using different compression measures. The main research questions addressed include the suitability of the GWO algorithm for dataset reduction in terms of dimensions (features and records) and the effectiveness of combining GWO with deep learning, specifically GRU, for enhanced prediction results. …”
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Multi-UAV assisted air-to-ground data collection for ground sensors with unknown positions by Cheng Yiran, Dong Yangrui

“…Finally, we propose a graph-based UAV path planning algorithm to cover all sensors in the subtasks after classification. …”
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A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis by Ronghua Wang, Peng Zhuang

“…Then the emotional analysis results of different models were integrated to improve accuracy through a hierarchical information fusion strategy. Meanwhile, graph embedding algorithms such as DeepWalk and Node2vec were utilized to process node information in graph data. …”
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MEchain—A novel mode to improve blockchain's real‐time and throughput by Yunwei Cao, Ting Yang, Yu Wang, Gang Mao

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On the 2-MRS Problem in a Tree with Unreliable Edges by Wei Ding, Yu Zhou, Guangting Chen, Hongfa Wang, Guangming Wang

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AADL architecture model construction based on FACE mode by LYU Guangzhe, YU Chunhai, KANG Kai, MA Chunyan, LIN Wei

“…Secondly, the 26 kinds of mapping rules from FACE model elements to AADL model elements are designed, and the rationality of the mapping rules is proved by the graph homomorphism theory. Then, the StringTemplate template is designed based on the mapping rules, and the template engine algorithm for generating AADL model is given. …”
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Substantiation of the methodology for adaptive formation of the mining work schedule taking into account the variable quality of ore raw materials and market dynamics by Y.I. Hryhoriev

“…The methodological basis is the optimization of the provisions of the averaging straight line schedule of the mining schedule, the interpolation of three-dimensional limiting surfaces, previously implemented by the graph-analytical method. The algorithm is implemented in Python in the Google Colaboratory environment using the SciPy and Plotly libraries for optimization and visualization of results, respectively. …”
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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

“…The aim of the study is to develop a mathematical model of the trained Markov cognitive system in the presence of discrete training and interfering random stimuli arising at random times at its input. The research method consists in the application of the simplest Markov learning model of Estes with a stochastic matrix with two states, in which the transition probabilities are calculated in accordance with the optimal Neуman-Pearson algorithm for detecting stimuli affecting the system. …”
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Instability of Financial Time Series Revealed by Irreversibility Analysis by Youping Fan, Yutong Yang, Zhen Wang, Meng Gao

“…The raw time series were preprocessed into return rate series and transformed into complex networks using the directed horizontal visibility graph (DHVG) algorithm, effectively preserving temporal variabilities in network topologies. …”
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Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture by Chunyan Tong, Changhong Ren

“…A dual-objective optimization algorithm balances knowledge acquisition with cognitive load management to generate paths that maintain optimal challenge levels. …”
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Identification and Location Method of Bitter Gourd Picking Point Based on Improved YOLOv5-Seg by Sheng Jiang, Yechen Wei, Shilei Lyu, Hualin Yang, Ziyi Liu, Fangnan Xie, Jiangbo Ao, Jingye Lu, Zhen Li

“…Aiming at the problems of small stems and irregular contours of bitter gourd, which lead to difficult and inaccurate location of picking points in the picking process of mechanical arms, this paper proposes an improved YOLOv5-seg instance segmentation algorithm with a coordinate attention (CA) mechanism module, and combines it with a refinement algorithm to identify and locate the picking points of bitter gourd. …”
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Robust pose estimation for non-cooperative space objects based on multichannel matching method by Zhaoxiang Zhang, Yuelei Xu, Jianing Song

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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…The application of value decomposition algorithms for UAV trajectory planning has drawn considerable research attention. …”
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Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment by Jiandong Si, Chang Liu, Jingxian Ye, Jianfeng Wu, Jianguo Wang, Kairui Hu, Chunhua Ju, Qianwen Cao

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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

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The design of advertising text keyword recommendation for internet search engines by Fang Wang, Liuying Yu

“…It is possible for individuals to obtain the advertising information they require, whether in an online or offline context. A research proposal is presented with the objective of enhancing the precision of online advertising recommendations. …”
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