A Systematic Literature Review on the Application of Machine Learning for Predicting Stunting Prevalence in Indonesia (2020–2024) by Emilda Indrisari, Hidayat Febiansyah, Bambang Adiwinoto

“…This study employed a Systematic Literature Review (SLR) to examine 20 scientific articles published between 2020 and 2024, focusing on the application of ML algorithms in stunting research. Literature was sourced from Scopus and Google Scholar, with inclusion criteria covering studies relevant to the Indonesian context or comparable global settings. …”
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Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection by Xiuhao Liang, Jun Xiang, Sheng Qin, Yundan Xiao, Lifen Chen, Dongxia Zou, Honglun Ma, Dong Huang, Yongxin Huang, Wei Wei

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Global trends and interdisciplinary insights in Tai Chi research: a bibliometric analysis (2004–2024) by Bei Li, Xiwei Zhu, Xiwei Zhu, Xiwei Zhu, Haoli Zhang, Su Zhang, Yanwei Li, Shuxi Wu, Shuxi Wu, Shuxi Wu, Jie Han, Jie Han, Jie Han

“…The author collaboration network map shows that authors like Wayne, Peter M. have significant influence in the field of Tai Chi research. Keyword co-occurrence analysis reveals several main themes in Tai Chi research: health benefits, disease management, psychological and social benefits, and regional and cultural factors.ConclusionTai Chi research is growing globally, and its potential health benefits are increasingly recognized. …”
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Predictive validity of consensus-based MRI definition of osteoarthritis plus radiographic osteoarthritis for the progression of knee osteoarthritis: A longitudinal cohort study by Xing Xing, Yining Wang, Jianan Zhu, Ziyuan Shen, Flavia Cicuttini, Graeme Jones, Dawn Aitken, Guoqi Cai

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Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints by Lijuan Li, Siyi Wang, Jichao Ma, Xiaobing Gao

“…Through experimental validations utilizing BIW (BIW) component inspection, the research has demonstrated its industrial applicability and has achieved a 92% measurement coverage with robot trajectories free of collisions. …”
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NVH Analysis and Optimization of Light Truck Electric Drive Axles Based on Romax by Hao Yingbo, Liu Lidong

“…A light truck 3.5 t parallel shaft electric drive axle was taken as the research object, and the NVH test was carried out to it. …”
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Research on new energy power plant network traffic anomaly detection method based on EMD by Danni Liu, Shengda Wang, YutongLi, Ji Du, Jia Li

“…Objectives Improve the safety and dependability of the main data communication network by conducting research on Proactive Coordinated Fault-Tolerant Federation (PCFT) security structure, building an early warning simulation to handle power data interactions network abnormalities, studying algorithms and technologies for abnormal traffic control, and effectively managing abnormal network traffic like DDoS, network scanning, along with surge traffic; Improve the capability of the SLA hierarchical service, enhance the service quality of the core services executed through the backbone network, as well as strengthen the security capability of the access system for the new energy power plant’s communication network by combing and analyzing the traffic of the main network of the current information communication network. …”
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Research on power system transformation based on edge node technology under the background of carbon neutrality by LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu

“…After the power system is connected to a variety of new energy resources, the source load balance technology is mainly used for power system transformation, which makes the carbon emission of the transformed system too high. …”
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A Review of Research on Path Planning of Unmanned Surface Vessel Swarm: Deep Reinforcement Learning by Yuli HOU, Ning WANG, Chidong QIU, Yongpeng WENG

“…Traditional path planning algorithms are difficult to meet increasingly complex needs due to weak coordination mechanisms and insufficient adaptability, while the development of deep reinforcement learning(DRL) technology provides a new research direction for the path planning of USV swarms. …”
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Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

“…Existing academic research on China’s urban-rural integration lacks a comprehensive exploration that integrates “factors and pathways” while providing a dynamic depiction of how different driving forces influence the urban-rural integration process. …”
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Landslides in the Himalayas: The Role of Conditioning Factors and Their Resolution in Susceptibility Mapping by Lalit Pathak, Badri Baral, Kamana Joshi, Dipak Raj Basnet, Danilo Godone

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The ‘Implicit Intelligence’ of artificial intelligence. Investigating the potential of large language models in social science research by Ottorino Cappelli, Marco Aliberti, Rodrigo Praino

“…Researchers in ‘hard' science disciplines are exploring the transformative potential of Artificial Intelligence (AI) for advancing research in their fields. …”
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Nelder-Mead algorithm optimization and Galerkin’s method thermal performance analysis of circular porous fins with various profiles in fully wet conditions by M. r. Talaghat, F. Shafiei

“…The main objective of this research is to analyze optimization and the thermal performance of circular porous fins with four different profiles, rectangular, convex, triangular and concave under fully wet conditions. …”
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Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery via block-out and date-out cross-validation by Eve Laroche-Pinel, Vincenzo Cianciola, Khushwinder Singh, Gaetano A. Vivaldi, Luca Brillante

“…This research evaluates the use of Landsat 8 satellite imagery in conjunction with weather data, and a machine learning algorithm (Gradient Boosting Machine) to predict vine water status in large vineyard blocks. …”
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Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm by Syahrul Adrianto, Bambang Agus Herlambang, Ramadhan Renaldy

“…Good, accurate and secure data management is certainly one of the main needs for companies that provide public services. …”
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Redefining Trauma Triage for Elderly Adults: Development of Age-Specific Guidelines for Improved Patient Outcomes Based on a Machine-Learning Algorithm by Ji Yeon Lim, Yongho Jee, Seong Gyu Choi, Yoon Hee Choi, Sam S. Torbati, Carl T. Berdahl, Sun Hwa Lee

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Research on application of artificial intelligence safety production management and control platform in Shendong mining area by Yazhong CUI, Jianrong HE, Yanyan REN

“…Training data and validation datasets are collected from monitoring points deployed at some production sites in Shendong mines as research objects. The relevant trained AI models and algorithms are deployed to the scene of coal mine safety production, further improving the intelligence level of coal mine expert systems, robots, decision management, safety management and equipment monitoring. …”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…The collapse of man-made structures, which frequently bury people beneath rubble, is one of the main causes of death worldwide. Natural disasters and human inefficiency, degradation, and decay are the main causes of this. …”
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Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

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Crankshaft high cycle bending fatigue test method based on the combined extended Kalman filtering algorithm and different failure criterion parameters. by Zhang Wei, Yan Ruidong, Songsong Sun, Gong Xiaolin, Liu Zhentao

“…In this paper, an accelerated bending fatigue test method for the crankshaft was proposed based on the combination of the extended Kalman filtering algorithm method (EKF) and different failure criterion parameters. …”
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