Improving data processing in medical education through machine learning by N. Shyndaliyev, A. Orynbayeva, K. Shadinova, A. Barakova, N. Nurmukhanbetova

Subjects: “…machine learning…”
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Integrating Machine Learning and IoT for Effective Plant Disease Management by Bhoi Manjulata, Dubey Ahilya

“…Machine learning (ML) and Internet of Things (IoT) are bolting down the agriculture in the area of plant disease management, especially. …”
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Machine Learning Applications in Parallel Robots: A Brief Review by Zhaokun Zhang, Qizhi Meng, Zhiwei Cui, Ming Yao, Zhufeng Shao, Bo Tao

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Prediction of formation energy for oxides in ODS steels by machine learning by Tian-Xing Yang, Peng Dou

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Machine learning based on a generative adversarial tri-model by Song Wang, Ning Xi, Zhengfang Zhou

“…Abstract This paper proposes a novel machine learning paradigm called the generative adversarial tri-model (GAT) to incorporate analytical knowledge into neural networks through a unique positive-sum game strategy. …”
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Machine learning-enabled prediction of bone metastasis in esophageal cancer by Liqiang Liu, Wanshi Duan, Tao She, Shouzheng Ma, Haihui Wang, Jiakuan Chen

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Analysis of Machine Learning Performance in Spatial Interpolation of Rainfall Data by Alexandre E. L. Nobrega, Itamir M. Barroca Filho

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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

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Machine learning and deep learning in diabetology: revolutionizing diabetes care by Salvatore Corrao, Salvatore Corrao, Miodrag Janić, Miodrag Janić, Miodrag Janić, Viviana Maggio, Manfredi Rizzo, Manfredi Rizzo

Subjects: “…machine learning…”
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Deciphering plant transcriptomes: Leveraging machine learning for deeper insights by Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly

“…This review addresses the integration of machine learning (ML) techniques in plant transcriptomics and emphasizes their potential to transform data analysis and interpretation. …”
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Predicting Forest Evapotranspiration using Remote Sensing and Machine Learning by B. Yadav, L. K. Sharma, B. Bijarniya

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Machine Learning Methods for Forecasting Intermittent Tin Ore Production by Nabila Dhia Alifa Rahmah, Budhi Handoko, Anindya Apriliyanti Pravitasari

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Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications by Tuan Hai Vu, Vu Trung Duong Le, Hoai Luan Pham, Yasuhiko Nakashima

“…Quantum Machine Learning is gaining traction by leveraging quantum advantage to outperform classical Machine Learning. …”
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Machine Learning-Based Analysis of Salivary Proteomic Signatures in Catathrenia by Min Yu, Yujia Lu, Wanxin Zhang, Xu Gong, Zeliang Hao, Liyue Xu, Yongfei Wen, Xiaosong Dong, Fang Han, Xuemei Gao

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Neural signals, machine learning, and the future of inner speech recognition by Adiba Tabassum Chowdhury, Ahmed Hassanein, Aous N. Al Shibli, Youssuf Khanafer, Mohannad Natheef AbuHaweeleh, Shona Pedersen, Muhammad E. H. Chowdhury

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Predicting coastal variations in non-storm conditions with machine learning by Jabari Amir, Adjami Mehdi, Gharechelou Saeid

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Automatic Selection of Machine Learning Models for Armed People Identification by Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin

Subjects: “…Machine learning…”
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Detection of Wild Mushrooms Using Machine Learning and Computer Vision by Christos Chaschatzis, Chrysoula Karaiskou, Chryssanthi Iakovidou, Panagiotis Radoglou-Grammatikis, Stamatia Bibi, Sotirios K. Goudos, Panagiotis G. Sarigiannidis

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Suppressing unknown disturbances to dynamical systems using machine learning by Juan G. Restrepo, Clayton P. Byers, Per Sebastian Skardal

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Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods by M. Timur Cihan

“…Machine learning methods have been successfully applied to many engineering disciplines. …”
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