Comparisons of Machine Learning Methods in Ship Speed Prediction Based on Shipboard Observation by Weidong Gan, Dianguang Ma, Yu Duan

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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

“…This research presents a methodology and realization of a set of 11 BESS models based on different machine learning methods. The performance of the proposed models is tested using real-life BESS data, after which a comparative evaluation is presented. …”
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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…Antibiotic adsorption on carbon-based materials (CBMs) such as charcoal and activated carbon has been identified as mainly effective for treating the wastewater strategies. Machine learning (ML) approaches were used to create generalized computation methods for tetracycline (TC) and sulfamethoxazole (SMX) adsorption in CBMs in this investigation. …”
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Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods by Hiren Solanki, Urmin Vegad, Anuj Kushwaha, Vimal Mishra

“…We examined the utility of multiple hydrological models (VIC, H08, CWatM, Noah‐MP, and CLM) and machine learning (ML) methods to improve streamflow simulations and prediction. …”
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Application of Machine Learning Methods for Employee Turnover Prediction Based on Open Data by A. N. Kazinets

“…The application of machine learning methods for predicting staff turnover in organizations using open data is studied. …”
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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

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Research on Forecasting Methods of Agricultural Products Consumption Behavior Based on Unsupervised Learning by Hui Yang, Tian Yang, Xiangxin Ma, Jia Lin

“…Through statistical analysis of data, it can be known that the prediction method of agricultural consumption behavior based on unsupervised learning has a certain effect.…”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The research objective is to describe a pattern of appropriate selection of the least resource-intensive delivery forecasting model based on the analysis of machine learning algorithms.Materials and Methods. The open data set DataCo Smart supply chain for big data analysis on deliveries in online trade was used. …”
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Students’ research work as a result of the introduction of educational methods «Learning by service» by L. V. Vandysheva

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Using Participatory Research Methods to Foster an Anti-Racist Graduate Learning Environment by Haley Peele, Monica Daniels, Ashlee Yates Flanagan, Stephanie Oshrin, Stacy Overstreet, Chloe Pickett, Andrew Orapallo, Deborah Pickford, Elsia A. Obus

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Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs by Seda Arslan Tuncer, Çağla Danacı, Sümeyye Coşgun Baybars

“…Aim: This study aimed to perform clinical diagnosis and treatment planning of mucous retention cysts with high accuracy and low error using the deep learning-based EfficientNet method. For this purpose, a hybrid approach that distinguishes healthy individuals from individuals with mucous retention cysts using panoramic radiographic images was presented.Material and Methods: Radiographs of patients who applied to the Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Fırat University between 2020 and 2022 and had panoramic radiography for various reasons were evaluated retrospectively. …”
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Research on Export Oil and Gas Concentration Prediction Based on Machine Learning Methods by Xiaochuan Wang, Baikang Zhu, Huajun Zheng, Jiaqi Wang, Zhiwei Chen, Bingyuan Hong

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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…The resulting dataset comprises 1185 lines. The methods employed were a set of methods for binary classification of machine learning (pycaret.org) using the programming language Python 3.8 (python.org) in the package management environment Miniconda (conda.io). …”
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Harnessing Unsupervised Ensemble Learning for Biomedical Applications: A Review of Methods and Advances by Mehmet Eren Ahsen

“…This review focuses on the principles and recent advancements in ensemble learning, with a particular emphasis on unsupervised ensemble methods. …”
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An integrative approach to the methods of parallel learning of native and foreign languages in conditions of digitalization by Klyuchkovska Iryna, Kozlovska Iryna, Savka Iryna

“…The purpose of the article is to research an integrative approach to the methods of parallel learning of native and foreign languages in conditions of digitalization. …”
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Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“….), the standardization issue of datasets and the pertinence of learning methods for that purpose. Reviewing the latest progress on TMD systems is important to inform readers about recent datasets used in detection, best practices for classification issues and the remaining challenges that still impact the detection performances. …”
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Designing Management Methods in Elementary School by Creating Enthusiasm to Promote Learning in Students by Samaneh Hoseinpoorian Chabok

“…Methodology: Current research addresses studies in psychology, happiness, and students' physical and psychological needs, in addition to a literature review and a necessity for a refreshing school environment by library and field study and content analysis methods.Findings: The inefficiency of educational spaces and inappropriate management functions in happiness and cheerfulness creation among the students to better learning caused this research to design educational space by utilizing principal management approaches and compatible design elements in schools.Originality/Value: Educational environments are the most crucial supplier spaces for society's qualitative power and play an essential role in the interaction of humans from mental and psychological perspectives. …”
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Research Progress of Dangerous Driving Behavior Recognition Methods Based on Deep Learning by Junjian Hou, Bingyu Zhang, Yudong Zhong, Wenbin He

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Beyond mixed methods: a pluralist approach to objects in interdisciplinary teaching and learning by Rune Bolding Bennike, Katrine Ellemose Lindvig

“…We conclude the paper with some reflections on the learning potential of troublesome differences and our role as teachers in balancing improvisation and scaffolding to stimulate deeper interdisciplinary learning beyond mixed methods. …”
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A Survey on Review Spam Detection Methods using Deep Learning Approach by Mahmoud Aliarab, Kazim Fouladi-Ghaleh

“…This paper reviews the proposed deep learning methods for the problem of review spam detection. …”
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