Machine Learning in Smart Buildings: A Review of Methods, Challenges, and Future Trends by Fatema El Husseini, Hassan N. Noura, Ola Salman, Khaled Chahine

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The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review by Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka, Renata Pilarczyk, Piotr Sablik

“…Finally, time trends in the popularity of ML methods in dairy cattle farming are briefly discussed.…”
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Evaluating climate-related financial policies’ impact on decarbonization with machine learning methods by Paola D’Orazio, Anh-Duy Pham

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Advanced Deep Learning Methods to Generate and Discriminate Fake Images of Egyptian Monuments by Daniyah Alaswad, Mohamed A. Zohdy

“…We also studied truncation methods to regulate the generated image noise and identify the most effective parameter settings based on architectural representation versus diverse output creation. …”
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Kahoot Application as an Interactive Medium in the Learning of “Qur'anic Teaching Methods and Tafsir” by Yunita Muslim, Yulia Rakhma Salsabila, Zunus Arifin, Miftahul Janah

Subjects: “…interactive learning…”
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Employing active learning methods in flipped social studies classes: an action research by Nazlı Gökçe, Serhat Al

“…This study explores how active learning methods can be implemented in Flipped Classroom-based Social Studies lessons. …”
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PPDD: Egocentric Crack Segmentation in the Port Pavement with Deep Learning-Based Methods by Hyemin Yoon, Hoe-Kyoung Kim, Sangjin Kim

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Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods by Yuxiao Gao, Yang Jiang, Yanhong Peng, Fujiang Yuan, Xinyue Zhang, Jianfeng Wang

“…In recent years, with the widespread application of Convolutional Neural Networks (CNNs) in computer vision, deep learning-based methods for medical image segmentation have become a focal point of research. …”
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A survey of deep learning-based MRI stroke lesion segmentation methods by Weiyi YU, Tao CHEN, Junping ZHANG, Hongming SHAN

“…Automatic stroke lesion segmentation has become a research hotspot in recent years.In order to comprehensively review current progress of deep learning-based MRI stroke lesion segmentation methods, start with the clinical problems of stroke treatment, we further elaborate the research background and challenges of deep learning-based lesion segmentation, and introduce common public datasets (ISLES and ATLAS) for stroke lesion segmentation.Then, we focus on the innovation and progress of deep learning-based stroke lesion segmentation methods, and summarize the research progress from three perspectives: network structure, training strategy, and loss function, and compare the advantages and disadvantages of various methods.Finally, we discusse the difficulties and challenges in this research and its future development trend.…”
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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…The effectiveness of this interaction resulted from its information support, based on reliable information, promptly provided to all the members of learning process.The aim of this paper was to study the machine learning methods potential for the effective management of learning process by the example of implementing information support component designed to diagnose and predict the professional development of students based on automatic text analysis.Methodology and research methods. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…The purpose of this research is to provide a model to diagnose accrual-based earnings management and real earnings management through performance evaluation of machine learning methods including decision tree, support vector machine, k-nearest neighbor, deep learning, and combining them with feature selection methods based on relief and principal component analysis. …”
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Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods. by Fahd Saeed Alakbari, Syed Mohammad Mahmood, Mohammed Abdalla Ayoub, Muhammad Jawad Khan, Funsho Afolabi, Mysara Eissa Mohyaldinn, Ali Samer Muhsan

“…Therefore, this study developed a reliable model to predict the νs accurately using the nineteen most common learning methods. The proposed models were created based on a large data of 1691 datasets from different countries. …”
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Estimating electricity consumption at city-level through advanced machine learning methods by Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri

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Generative artificial intelligence and machine learning methods to screen social media content by Kellen Sharp, Rachel R. Ouellette, Rujula Singh Rajendra Singh, Elise E. DeVito, Neil Kamdar, Amanda de la Noval, Dhiraj Murthy, Grace Kong

“…The primary objective of this article is to present generative artificial intelligence (AI; e.g., ChatGPT) and machine learning methods to screen content from social media platforms. …”
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A systematic review of deep learning methods for community detection in social networks by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Monica Garcia Villar, Monica Garcia Villar, Monica Garcia Villar, Helena Garay, Helena Garay, Helena Garay, Isabel de la Torre Díez

“…Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.MethodsIn this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks. …”
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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…Emphasis is placed on methodological integration, including bias mitigation, fairness-aware learning, causal discovery, and model interpretability. …”
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Comparisons of different deep learning-based methods on fault diagnosis for geared system by Bing Han, Xiaohui Yang, Yafeng Ren, Wanggui Lan

“…The results show that the gear fault diagnosis method based on deep learning theory can effectively identify various gear faults under real test conditions. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Comparing statistical learning methods for complex trait prediction from gene expression. by Noah Klimkowski Arango, Fabio Morgante

“…Genotypes have been used for trait prediction using a variety of methods such as mixed models, Bayesian methods, penalized regression methods, dimension reduction methods, and machine learning methods. …”
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Machine learning methods in the differential diagnosis of difficult-to-classify types of diabetes mellitus by N. V. Rusyaeva, I. I. Golodnikov, I. V. Kononenko, T. V. Nikonova, M. V. Shestakova

“…In this regard, various automated algorithms have been developed based on statistical methods and machine learning (deep neural networks, “decision trees”, etc.) to identify patients for whom an in-depth examination is most justified. …”
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