Research Review of Agricultural Machinery Power Chassis in Hilly and Mountainous Areas by Yiyong Jiang, Ruochen Wang, Renkai Ding, Zeyu Sun, Yu Jiang, Wei Liu

“…In this manuscript, (1) in terms of the power system, the technical characteristics and application scenarios of mechanical, hydraulic, and electric drive systems were compared. (2) In terms of the walking system, the performance differences between wheeled, crawler, legged, and composite walking devices and the application of suspension systems in agricultural machinery chassis were discussed. (3) In terms of the steering system, the steering characteristics of wheeled chassis and crawler chassis were analyzed, respectively. (4) In terms of the leveling system, the research progress on hydraulic and electric leveling mechanisms, as well as intelligent leveling control algorithms, was summarized. (5) The technology of automatic navigation and path tracking for agricultural machinery chassis was discussed, focusing on multi-sensor fusion and advanced control algorithms. …”
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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

“…The rapid evolution of intelligent algorithms has led to their extensive application in time-series forecasting, particularly in predicting electricity consumption. …”
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Survey on Research Progress of Load Balancing in LTE-Advanced Heterogeneous Network by Juanxiong Xu, Yisha Liu, Lun Tang, Qianbin Chen

“…Following that, a comprehensive taxonomic approach to classifying algorithms of load balancing was proposed, based on which detailed analyses and thorough comparisons for the main strategies in recent years were made; and several schemes to reduce signaling overhead were compared and analyzed in the load balancing process. …”
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Research of Shock Response Spectrum on Shock Test of Rolling Stock Equipment by WU Yongsheng, LIU Guotao, JIANG Hua, HUANG Cheng

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Research on P2P streaming media identification based on UDP by Shi DONG, Gang WANG

“…Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.…”
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Research on Functional Modularity and Health Monitoring Design of Home Fitness Equipment by Xinyue Song, Cuiyu Li

“…The system achieves 95% monitoring accuracy for key metrics (heart rate: 97–147 bpm, energy consumption: 216–550 kcal) and improves user satisfaction by 40% compared to conventional equipment. This research demonstrates a scalable and intelligent solution that bridges the gap between multifunctional integration and user-centric health management, offering significant advancements over previous designs.…”
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REAL-TIME SIMULATIVE MODELING FOR GEAR CHANGE CONTROL STRATEGY RESEARCH by A. A. Filimonov, V. A. Kusyak

“…A strategy for improvement of automated mechanical transmission controlling algorithms has been proposed in the paper.…”
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Research on Control-Oriented Modeling for Turbocharged SI and DI Gasoline Engines by Feitie Zhang, Shoudao Huang, Xuelong Li, Fengjin Guan

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Research status of gearboxes for high-power nuclear power circulation pumps by WEI Fude, WANG Huanhuan, YANG Shuncheng

“…Many scholars are committed to in-depth research on high-power nuclear power circulating pump gearboxes from the perspectives of dynamics, mechanical design, big data, optimization algorithms, etc., in response to the above-mentioned issues. …”
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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design by Yingzhao Shao, Junyi Wang, Xiaodong Han, Yunsong Li, Yaolin Li, Zhanpeng Tao

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Research on computing task scheduling method for distributed heterogeneous parallel systems by Xianzhi Cao, Chong Chen, Shiwei Li, Chang Lv, Jiali Li, Jian Wang

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Machine learning predictive performance in road accident severity: A case study from Thailand by Ittirit Mohamad, Sajjakaj JomnonKwao, Vatanavongs Ratanavaraha

“…This study evaluates the predictive performance of multiple supervised machine learning algorithms in classifying accident severity, addressing the gap in prior research that lacks a comparative analysis of multiple models trained on large-scale crash data. …”
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Research on the Integration of Sensing and Communication Based on Fractional-Order Fourier Transform by Mingyan Qi, Yuelong Su, Zhaoyi Wang, Kun Lu

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Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand’s Emerging High-Speed Rail Network by Chinnakrit Banyong, Natthaporn Hantanong, Supanida Nanthawong, Chamroeun Se, Panuwat Wisutwattanasak, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

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Significance of EEG-electrode combinations while calculating filters with common spatial patterns by Wetzel, Dominik, Jacobs, Paul-Philipp, Winkler, Dirk, Grunert, Ronny

“…In addition to the combinations calculated using the developed algorithm, 26 additional electrode combinations are proposed. …”
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Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients by Yu. M. Beketnova

“…The author concluded that the PCA-Based Anomaly Detection algorithm showed more accurate results compared to the One-Class Support Vector Machine algorithm. …”
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The Impact of Environmental Risk on Business Failure: A Fuzzy-Set Qualitative Comparative Analysis Approach with Extreme Gradient Boosting Feature Selection by Mariano Romero Martínez, Pedro Carmona Ibáñez, José Pozuelo Campillo

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Advancing AI in Higher Education: A Comparative Study of Large Language Model-Based Agents for Exam Question Generation, Improvement, and Evaluation by Vlatko Nikolovski, Dimitar Trajanov, Ivan Chorbev

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Can the Plantar Pressure and Temperature Data Trend Show the Presence of Diabetes? A Comparative Study of a Variety of Machine Learning Techniques by Eduardo A. Gerlein, Francisco Calderón, Martha Zequera-Díaz, Roozbeh Naemi

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Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation by Gina Sprint, Maureen Schmitter-Edgecombe, Diane Cook

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