Machine learning approaches for predicting protein-ligand binding sites from sequence data by Orhun Vural, Leon Jololian

“…This paper reviews studies that use machine learning to predict protein-ligand binding sites from sequence data, focusing on recent advancements. …”
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Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data by Ahmed I. Taloba, R.T. Matoog

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Many-body expansion based machine learning models for octahedral transition metal complexes by Ralf Meyer, Daniel B K Chu, Heather J Kulik

Subjects: “…machine learning…”
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Identification of failure behaviors of underground structures under dynamic loading using machine learning by Chun Zhu, Yingze Xu, Manchao He, Yujing Jiang, Murat Karakus, Lihua Hu, Yalong Jiang, Fuqiang Ren

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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

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Impact of Climate Change and Air Pollution Forecasting Using Machine Learning Techniques in Bishkek by Erkin Isaev, Boobek Ajikeev, Urmatbek Shamyrkanov, Kenjebek-uulu Kalnur, Karimov Maisalbek, Roy C. Sidle

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Predicting the infecting dengue serotype from antibody titre data using machine learning. by Bethan Cracknell Daniels, Darunee Buddhari, Taweewun Hunsawong, Sopon Iamsirithaworn, Aaron R Farmer, Derek A T Cummings, Kathryn B Anderson, Ilaria Dorigatti

“…We applied four machine learning classifiers and multinomial logistic regression to the titre data to predict the infecting serotype. …”
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Retracted: A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique by Journal of Food Quality

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Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis by Antonios Georgas, Anna Panagiotakopoulou, Grigorios Bitsikas, Katerina Vlantoni, Angelo Ferraro, Evangelos Hristoforou

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Prediction of late-onset depression in the elderly Korean population using machine learning algorithms by Jong Wan Park, Chang Woo Ko, Diane Youngmi Lee, Jae Chul Kim

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The Relationship Between Consumption Power and GDP Growth in China and Machine Learning Prediction Analysis by Hu Runsong

“…The paper examines the use of machine learning for predicting consumption capacity by integrating various economic models, including Support Vector Regression (SVR) and Long Short-Term Memory Network (LSTM). …”
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Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

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An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing by B. S. R. Kunduri, J. B. H. Baker, J. M. Ruohoniemi, E. G. Thomas, S. G. Shepherd

Subjects: “…Machine learning…”
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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

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Sarcasm Text Detection on News Headlines Using Novel Hybrid Machine Learning Techniques by Neha Singh, Umesh Chandra Jaiswal

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A game theory-assisted machine learning methodology for subscriber churn behaviors detection by Ye OUYANG, Aidong YANG, Fanyu MENG

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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

Subjects: “…Machine learning…”
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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks by Reham Abdallah, Sayed Abdelgaber, Hanan Ali Sayed

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