Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning by Eric Wang, Igor Shuryak, David J. Brenner

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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

“…This study used Louvain and machine learning algorithm for CMM pattern detection. …”
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Multi-level ecological restoration zoning in Sanmenxia City: A patterns-ecosystems-humans perspective by Guangjin Zhou, Yizhong Huan, Qijia Lou, Tao Liang, Zhiguang Shi, Xiaoman Liu, Siyuan Tao, Riqi Zhang, Jixi Gao, Yiping Zuo

“…First-level zones were initially delineated based on the natural geographical pattern and the provincial ecological restoration zoning plan. …”
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Pattern analysis using lower body human walking data to identify the gaitprint by Tyler M. Wiles, Seung Kyeom Kim, Nick Stergiou, Aaron D. Likens

“…A total of 18 trials per participant were completed between two days, one week apart. Four methods of pattern analysis, a) Euclidean distance, b) cosine similarity, c) random forest, and d) support vector machine, were applied to our basic spatiotemporal variables such as step and stride lengths to accurately identify people. …”
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Future-Oriented Civil and Private Law: Integrating Artificial Intelligence (AI) and Machine Learning (ML) Technologies by Alawamleh Atef Salem

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Person identification using novel local triangular binary pattern-based texture descriptor by Arti Tekade, T. Vijayan, B. Karthik, Anurag Mahajan

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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

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Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study by Adedolapo Ogungbire, Suman Kumar Mitra

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3D Pulse Image Detection and Pulse Pattern Recognition Based on Subtle Motion Magnification Technology by Chongyang YAO, Yongxin CHOU, Zhiwei LIANG, Haiping YANG, Jicheng LIU, Dongmei LIN

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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

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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

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Large-scale evaluation of soybean germplasm reveals geographic patterns in shade tolerance and identifies elite genotypes for intercropping systems by Fengyi Zhang, Huilong Hong, Xiulin Liu, Xueyang Wang, Chunlei Zhang, Kezhen Zhao, Rongqiang Yuan, Ahmed M. Abdelghany, Bixian Zhang, Sobhi F. Lamlom, Honglei Ren

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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

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Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time by Uttara U. Khatri, Kristen Pulliam, Muskan Manesiya, Melanie Vieyra Cortez, José del R. Millán, Sara J. Hussain

“…Methods: As a first step towards this goal, we tested a novel machine learning-based EEG-TMS system that identifies personalized brain activity patterns reflecting strong and weak corticospinal tract (CST) activation (strong and weak CST states) in healthy adults in real-time. …”
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The species distribution model based on the random forest algorithm reveals the distribution patterns of Neophocaena asiaeorientalis by Rao Rongcheng, Huang Yi, Min Jialing, Yang Ying, Liu Fanning, Wu Xiya, Shi Xinyuan, Li Caigang, Dai Yingen, Huang Qinghai, Yu Jinxiang, Que Jianglong

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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

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MultiModalGraphSearch: Intelligent Massive-Scale SubGraph Discovery for Multi-Category Financial Pattern Mining by Yaohan Qi

Subjects: “…Machine learning…”
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A Comparative Study of Image Processing and Machine Learning Methods for Classification of Rail Welding Defects by Mohale Emmanuel Molefe, Jules Raymond Tapamo, Siboniso Sithembiso Vilakazi

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Programmable friction control in 3D printed patterned multi-materials: a flexible design strategy by Xinle Yao, Yuxiong Guo, Mingyang Wang, Yaozhong Lu, Zhibin Lu, Xin Jia, Yu Gao, Xiaolong Wang

“…This strategy effectively enhances frictional controllability in key mechanical components (e.g. precision gears, self-locking fasteners, and friction interfaces) through optimised patterned integration enabled by additive manufacturing. …”
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Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

“…These features are then classified using various machine learning models, namely Random Forest (RF), Support Vector Machines (SVM), and k-Nearest Neighbors (k-NN). …”
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