Method for recognizing abnormal operation patterns in hydraulic support machine-following and shifting control by MA Zhitao, FU Xiang, LI Haojie, NIU Penghao, JIA Yifan

“…To address this issue, a method was proposed for identifying abnormal condition patterns in machine-following and shifting control of hydraulic supports. …”
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Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

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Transcriptional patterns of cancer-related genes in primary and metastatic tumours revealed by machine learning by Faeze Keshavarz-Rahaghi, Erin Pleasance, Steven J. M. Jones

“…While genes like TP53 and CDKN2A exhibited unique pan-cancer transcriptional patterns, others like ATRX, BRAF, and NRAS showed tumour-type-specific expression patterns. …”
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Editorial: Machine learning and statistical models: unraveling patterns and enhancing understanding of mental disorders by Quan Wang

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Interpretable machine learning unveils threshold responses and spatial patterns of global soil respiration by Junjie Jiang, Lingxia Feng, Junguo Hu, Chao Zhu

“…In this study, we propose an interpretable machine learning prediction of global Rs (IMPGRs) based on explainable artificial intelligence (XAI) technology to interpret tree-integrated global Rs prediction models, explore the factors driving global Rs responses, and predict their distribution patterns. …”
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Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective by Ahmet Sait Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif

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Rotational Doppler Signal Classification Based on Support Vector Machine by Song Qiu, Jin Zheng, Minghui Xiong

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Static Pakistani Sign Language Classification using Support Vector Machine by Shaheer Mirza, Sheikh Muhammad Munaf, Shahid Ali, Muhammad Asif

Subjects: “…Pattern Recognition…”
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Performance Analysis of Simplification of Hyperplane Support Vector Machine by Hui Cheng, Jinglong Fang, Daquan Wang, Xingqi Wang

Subjects: “…pattern recognition…”
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Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants by Mayyas Al-Remawi, Ahmed S.A. Ali Agha, Faisal Al-Akayleh, Faisal Aburub, Rami A. Abdel-Rahem

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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

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Racial Disparities in Comorbidity Patterns of Early-Onset Liver Cancer: A Machine Learning Analysis by Bingya Ma MSc, Kai Zheng PhD, Fa-Chyi Lee MD, Yunxia Lu MD, PhD

“…This case-control study explores the comorbidity patterns of EOLC and develops race/ethnicity-specific machine learning (ML) models to predict liver cancer risk. …”
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Discovering User Sentiment Patterns in Libraries with a Hybrid Machine Learning and Lexicon-Based Approach by Dini Nurmalasari, Dini Hidayatul Qudsi, Nessa Chairani, Heri R Yuliantoro

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Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns by Elham Ghasemi, Esmaeil Ebrahimie, Ali Niazi

“…This study presents a novel approach for early detection of viral infections in plants by analyzing electrical signal patterns, focusing on Alfalfa Mosaic Virus (AMV) infection in tobacco plants. …”
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Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size by Yong-Hoon Byun, Juik Son, Jungmin Yun, Hyunwook Choo, Jongmuk Won

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Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

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Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis by Prabin B Lamichhane, Hannah Mannering, William Eberle

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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

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Patterns of childhood trauma co-occurrence and its predictivity for suicidality: A machine learning approach by Wenbang Niu, Yi Feng, Shicun Xu, Xin Cui, Zhihao Ma, Yuanyuan Wang

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Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study by Peter Hill, Daniel Jonsson, Jakob Lederman, Peter Bolin, Veronica Vicente

“…Multiple ML models, random forest, gradient boosting, neural networks, and logistic regression were trained to probe potential nonlinear patterns and interactions, not with the primary goal of predictive accuracy. …”
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