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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Interpretable Machine Learning Insights into the Factors Influencing Residents’ Travel Distance Distribution by Rui Si, Yaoyu Lin, Dongquan Yang, Qijin Guo

“…Understanding intra-urban travel patterns through quantitative analysis is crucial for effective urban planning and transportation management. …”
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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

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Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics. by Rimsha Bibi, Noshaba Qasmi, Sajid Rashid

“…In this study, we conducted a comprehensive analysis of 5,985 cone snail peptides across 82 Conus species to identify unique cysteine (Cys) patterns and associated frameworks. The classification of these Cys patterns, based on conserved framework combinations, enabled the generation of species-level pattern barcodes. …”
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4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

“…Whereas insufficient UV light and vitamin D can retard healing process, hence this experiment focuses on machine learning design in which pattern recognition and technology supports patient safety as our primary goal. …”
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An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018 by Qun Tang, Yong Wang, Yan Luo

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Mapping Nationwide Subfield Division Dynamics in Saudi Arabia Using Temporal Patterns of Sentinel-2 NDVI and Machine Learning by Ting Li, Oliver Miguel Lopez Valencia, Matthew F. McCabe

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Sheltering in place: unveiling how urban park characteristics shaped visiting patterns during the pandemic using machine learning by Dawon Oh, In Kwon Park

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Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning by Mingyi Kuang, Fei Fu, Fangzhou Tian, Liwei Lin, Can Du, Yuesong Zhang

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High-resolution soil temperature and soil moisture patterns in space, depth and time: An interpretable machine learning modelling approach by Maiken Baumberger, Bettina Haas, Sindhu Sivakumar, Marvin Ludwig, Nele Meyer, Hanna Meyer

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Simple agarose micro-confinement array and machine-learning-based classification for analyzing the patterned differentiation of mesenchymal stem cells. by Nobuyuki Tanaka, Tadahiro Yamashita, Asako Sato, Viola Vogel, Yo Tanaka

“…In addition, a machine learning based image processing software was developed (open code) to detect the differentiation patterns of the population of hMSCs automatically. …”
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Exploring the risk factors and clustering patterns of periodontitis in patients with different subtypes of diabetes through machine learning and cluster analysis by Anna Zhao, Yuxiang Chen, Haoran Yang, Tingting Chen, Xianqi Rao, Ziliang Li

“… Aim: To analyse the risk factors contributing to the prevalence of periodontitis among clusters of patients with diabetes and to examine the clustering patterns of clinical blood biochemical indicators. …”
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Data-Driven Insights Into EV Charging Patterns: Machine Learning Models Reveal Key Predictors of Station Utilization in Tennessee by Seyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Austin Harris, Mina Sartipi

“…This study analyzes electric vehicle (EV) charging patterns and station utilization in Tennessee using machine learning (ML) techniques. …”
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Assessing the impact of climate change on flood patterns in downstream Nigeria using machine learning and geospatial techniques (2018–2024) by Desmond R. Eteh, Bunakiye R. Japheth, Charles U. Akajiaku, Ifunanya Osondu, Omabuwa O. Mene-Ejegi, Emmanuel M. Nwachukwu, Miebaka D. Oriasi, Erepamo J. Omietimi, Abiodun E. Ayo-Bali

“…This study analyzes flood patterns, identifies key environmental drivers, and predicts flood-prone areas through an integrated machine learning and geospatial analysis approach. …”
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The classification of EMG signals using machine learning for the construction of a silent speech interface. by Chandrashekhar, V.

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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

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Assessing Smoking Determinants in Students: A Predictive Model Based on Anxiety, Distress, and Sleep Patterns by Chaudhuri Tinni, Ghosh Joyeta, Chakraborty Soma, Kumar Pankaj, Guha Banhi

“…Smoking behaviour is influenced by various psychological and lifestyle factors, including anxiety, distress, and sleep patterns. Understanding these determinants can help in designing effective intervention strategies for smoking cessation among students. …”
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Evaluating the impact of pattern recognition on AI skills development in universities by Dinara Kazimova, Nurgul Serikbayeva, Gulfarida Samashova, Anatoly Zatyneyko, Botagoz Sarsenbayeva

Subjects: “…pattern recognition…”
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Rainfall nowcasting by integrating radar and rain gauge data with machine learning for Ischia Island, Italy by Fereshteh Taromideh, Giovanni Francesco Santonastaso, Roberto Greco

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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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