Development Research on Integrating CNC Machine Tool with Plasma for Online Surface Heat Treatment by Shao-Hsien Chen, Bo-Ting Wang

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Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations by Yunlong Sun, Dehan Luo, Hui Li, Chuchu Zhu, Ou Xu, Hamid Gholam Hosseini

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Comparative analysis of machine learning techniques in metabolomic-based preterm birth prediction by Ying-Chieh Han, Jane Shearer, Chunlong Mu, Donna M. Slater, Suzanne C. Tough, Gavin E. Duggan

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Effect of the Cryogenically Treated Copper Nozzle Used in Plasma Arc Machining of S235 Steel by N. Senthilkumar, G. Jayaprakash, N. Nagaprasad, Krishnaraj Ramaswamy

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Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning by Mürsel Kahveci, Levent Uğur

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Analysis and Compensation of Current Measurement Errors in Machine Drive Systems—A Review by Pingyue Song, Tao Wang, Lijian Wu, Hao Li, Xiang Meng, Cheng Li

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Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends by Jie Xue, Peijie Yang, Qianbing Li, Yuanming Song, P. H. A. J. M. van Gelder, Eleonora Papadimitriou, Hao Hu

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Population-level predictive variation in machine learning diagnosis of symptomatic bacterial vaginosis by Diandra P. Ojo, Cameron Celeste, Dion Ming, Ruogu Fang, Ivana K. Parker

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Innovative data techniques for centrifugal pump optimization with machine learning and AI model. by Gaurav Sandeep Dave, Amar Pradeep Pandhare, Atul Prabhakar Kulkarni, Dhananjay Vasant Khankal

“…In modern centrifugal pump machines (CPM), a data acquisition system encompassing software- hardware interfacing is essential for parameter recording. …”
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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

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Machine learning for brain tumor classification: evaluating feature extraction and algorithm efficiency by Krishan Kumar, Kiran Jyoti, Krishan Kumar

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Electrocardiogram Abnormality Detection Using Machine Learning on Summary Data and Biometric Features by Kennette James Basco, Alana Singh, Daniel Nasef, Christina Hartnett, Michael Ruane, Jason Tagliarino, Michael Nizich, Milan Toma

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Improved War Strategy Optimization with Extreme Learning Machine for Health Data Classification by İbrahim Berkan Aydilek, Arzu Uslu, Cengiz Kına

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Interpretable Prediction and Analysis of PVA Hydrogel Mechanical Behavior Using Machine Learning by Liying Xu, Siqi Liu, Anqi Lin, Zichuan Su, Daxin Liang

“…XGBoost demonstrated superior performance after Optuna-based optimization, achieving R² values of 0.964 for training and 0.801 for testing. …”
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Enhancing Distributed Machine Learning through Data Shuffling: Techniques, Challenges, and Implications by Zhang Zikai

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Artificial liver classifier: a new alternative to conventional machine learning models by Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid

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Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters by Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim

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Traffic Modeling and Access Control for Machine Type Communications：A Comprehensive Survey by Xin Jian, Xiaoping Zeng

“…The historical development，traffic characteristics，potentials and challenges of machine type communications（MTC）were introduced.A comprehensive survey on the traffic modeling and access control for the concurrent data transmission from massive MTC devices was made.With the recommendations on traffic engineering suggested by International Telecommunication Union （ITU）and International Teletraffic Congress （ITC），some important issues and key problems in the fields of traffic characteristics analysis，traffic modeling and access control for MTC were summarized，in order to provide engineers and researchers insights on the improved performance analysis and enhanced access control for carrier network，which would promote the deployment and standardization of MTC and internet of things.…”
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Applicability of machine learning models for drought prediction using SPI in Kalahandi, Odisha by AMIT PRASAD, R.K. SINGH, K V RAMANA RAO, C. K. SAXENA

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Predicting Ship Waiting Times Using Machine Learning for Enhanced Port Operations by Min-Hwa Choi, Woongchang Yoon

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