The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications by Tamás Kegyes, Zoltán Süle, János Abonyi

“…Reinforcement learning (RL) methods can successfully solve complex optimization problems. …”
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Learning interventions and training methods in health emergencies: A scoping review. by Heini Utunen, Giselle Balaciano, Elham Arabi, Anna Tokar, Aphaluck Bhatiasevi, Jane Noyes

“…Evolution of methods was apparent, particularly in virtual learning. …”
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Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods by Ling Zhu, Shan He, Wanting Zheng, Yuanyuan Tong, Feng Yang

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Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

“…The following keywords in Russian and English were used for selection: "modern methods of prenatal diagnostics", "fetal monitoring", "assessment of fetus functional state", "passive sensors", "artificial intelligence", "machine learning". …”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The airflow of both sprayers was adjusted to the plantation leaf mass and the working pressure was set for each repetition separately. A method using water-sensitive paper and a digital image analysis was used to collect data on coverage factors. …”
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Student Position and Learning Effectiveness in Different Teaching Methods in Higher Education by Nedim Čirić, Mustafa Veladžić

“…The aim of the study was to investigate the distribution of various instructional methods, the level of student participation and engagement in relation to the predominant teaching approaches, and how students evaluate the effectiveness of learning depending on the applied instructional method.The research is cross-sectional in nature and is based on a mixed methodological approach. …”
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On Quantum Methods for Machine Learning Problems Part I: Quantum Tools by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

“…This is a review of quantum methods for machine learning problems that consists of two parts. …”
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A survey on deep learning based reenactment methods for deepfake applications by Ramamurthy Dhanyalakshmi, Claudiu‐Ionut Popirlan, Duraisamy Jude Hemanth

“…Abstract Among the sectors that deep learning has transformed, deepfake, a novel method of manipulating multimedia, deserves particular attention. …”
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Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods by Kalina Kitova, Ivan Ivanov, Vincent Hooper

“…They utilized resampling methods to balance the classes and advanced imputation techniques to handle missing data, underscoring the critical role of data preprocessing in enhancing the performance of Support Vector Machines (SVMs). …”
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Deep-learning-based point cloud completion methods: A review by Kun Zhang, Ao Zhang, Xiaohong Wang, Weisong Li

“…In this study, we conducted an extensive survey of point cloud completion methods, with the following main objectives: (i) We classified point cloud completion methods into categories based on their principles, such as point-based, convolution-based, GAN-based, and geometry-based methods, and thoroughly investigated the advantages and limitations of each category. …”
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The Influence of Learning Methods and Media on the Teaching Effectiveness of Arabic Language Teachers by Afriza, Nurazzelena Abdullah, Kasmiati Kasmiati, Halomoan, abul maali

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A Survey of Dense Object Detection Methods Based on Deep Learning by Yang Zhou, Hui Li

“…In recent years, thanks to the development and advancement of deep learning methods, object detection algorithms and frameworks have made significant breakthroughs, allowing many detection methods to be applied to real-world scenarios. …”
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Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

“…In so doing, we propose a novel methodology according to which data-driven methods are trained given optimal trajectories (produced by mechanistic models) corresponding to known hidden parameter values, with the aim of predicting hidden parameters’ values of unseen trajectories. …”
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Machine learning and data-driven methods in computational surface and interface science by Lukas Hörmann, Wojciech G. Stark, Reinhard J. Maurer

“…Abstract Machine learning and data-driven methods have started to transform the study of surfaces and interfaces. …”
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Mapping Irrigation Methods in the Northwestern US Using Deep Learning Classification by S. K. Nouwakpo, D. Bjorneberg, K. McGwire, O. Hoque

Subjects: “…irrigation method…”
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Learning Interferometric Equipment through Integration of Game Methods into Mobile Application by Svyatoslav Yatsyshyn, Ihor Nazarkevych

“…To solve these problems, it is proposed to involve game-based learning methods, which makes the process more immersive and effective. …”
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Healthcare Prediction Using Novel Machine Learning Methods and Metaheuristic Algorithm by Yazdan Ashgevari, Behrouz Alefy, Faranak Kazemi

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Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods by Andrea Serani, Matteo Diez

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A Systematic Review of Deep Learning Methods Applied to Ocular Images by Oscar Julian Perdomo Charry, Fabio Augusto González Osorio

“…In particular, deep learning methods have been applied successfully to the detection of clinical signs and the classification of ocular diseases. …”
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A Comparative Study of Machine Learning Methods for Pyrolysis Yield Prediction by Seyed Mohammad Razavi, Rahmat Sotudeh Gharebagh, Navid Mostoufi, Jamal Chaouki, K.D.P. Nigam

“…This paper presents a machine learning-based approach for accurately predicting pyrolysis product yields. …”
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