OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. by Jonathan M Matthews, Brooke Schuster, Sara Saheb Kashaf, Ping Liu, Rakefet Ben-Yishay, Dana Ishay-Ronen, Evgeny Izumchenko, Le Shen, Christopher R Weber, Margaret Bielski, Sonia S Kupfer, Mustafa Bilgic, Andrey Rzhetsky, Savaş Tay

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Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach by Mihail Kolev

“…This dataset, comprising more than 1000 data points, was selected from a larger collection of various Cu-based alloys. …”
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Analysis of The Use of Discussion And Question And Answer Methods As an Effort to Improve Student Physics Learning Outcomes by Delia Sapitri, Siti Indriyati

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Comparative Analysis of Federated and Centralized Learning Systems in Predicting Cellular Downlink Throughput Using CNN by Kukuh Nugroho, Hendrawan, Iskandar

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Facial recognition and analysis: A machine learning-based pathway to corporate mental health management by Zicheng Zhang, Tianshu Zhang, Jie Yang

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Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis by Sushmitha Halli Sudhakara, Lida Haghnegahdar

“…This research proposes a machine learning (ML) based security mechanism, leveraging federated learning and FedAvg for weight averaging, combined with SHAP analysis to identify key contributing features. …”
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Emotional factor matters in language learning? A meta-analysis of emotional intelligence on language achievement by Qiao Peng, Li Shuhong

“…In contrast, no significant moderation effects were found for research type, learning context, students’ major, first language, or the measurement instruments employed. …”
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Requirement Analysis for a Qualifications-Based Learning Model Platform Using Quantitative and Qualitative Methods by Simon Wetzel, Jennifer Roeder, Adrian Vogler, Matthias Hemmje

“…The Qualifications-Based Learning Model (QBLM) is a framework for qualifications-based learning, defining a software architecture and data models. …”
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Lifelong Learning Tendencies as Predictors of Teachers’ Engagement in Continuing Professional Development: An Ordinal Regression Analysis by Christian Lamud

“…The computed LLTs were analyzed using logistic ordinal regression to see if they influence teacher engagement in various aspects of CPD. Subsequent data analysis revealed that faculty members exhibit remarkably strong lifelong learning tendencies along with motivation, persistence, self-learning regulation, and curiosity. …”
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Machine-learning-driven feature importance analysis for guiding the protonic ceramic fuel cell manufacturing by Jinwoo Kim, Jaewan Baek, Mingi Choi

“…To address these issues, this study proposes a method by which to analyze the effects of certain materials and manufacturing processes on the fabrication of PCFCs, assisted by machine learning (ML). Based on data from earlier work, we first evaluate the performance-predicting capabilities of 6 ML models, showing the best-predicting performance with XGBoost model. …”
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Machine learning insights for predicting density and hardness in centrifugal SHS synthesized ceramic coatings by N. Radhika, M. Sabarinathan, S. Sivaraman

“…Gaussian noise augmentation is applied to generate noise data with the same standard deviation to improve the prediction accuracy of the models through an increase in the database volume. …”
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Analysis of the exercise intention-behavior gap among college students using explainable machine learning by Cui Cui, Cui Cui, Jixin Yin

“…Multiple machine learning models were developed to predict the presence of the intention-behavior gap. …”
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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

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Descriptive Analysis of Resources Used to Learn About Residency Programs Since Transition to Virtual Interviews by Richard Bounds, John Priester, Benjamin Lewis, Roz King, Skyler Lentz

“…We performed a descriptive analysis of these responses to identify the frequency with which students have been accessing various resources to learn about programs, and to learn how that has changed over time. …”
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Integrated multidisciplinary approach to aneurysm hemodynamic analysis: numerical simulation, in Vitro experiment, and deep learning by Tingting Fan, Jinhang Wang, Xu Wang, Xu Wang, Xi Chen, Dongliang Zhao, Fengjie Xie, Guangxin Chen

“…The combine of numerical simulation and in vitro experiment have laid the foundation for high-precision hemodynamic analysis, while the integration of deep learning technologies has significantly enhanced computational efficiency. …”
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Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations by Ahmad J. Obaidullah, Wael A. Mahdi

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Energy Analysis in Green Building via Machine Learning: A Case Study in a Hospital by Nevzat Yağız Tombal, Tarık Veli Mumcu

“…In this study, the energy analysis of a green hospital with an installed area of 55,000 square meters in Istanbul was conducted, and machine learning techniques can be used in the analysis. …”
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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…This study utilized digital network data analysis tools and methods, specifically data mining, for classification and validation purposes. …”
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Analysis of Science Problem Solving Ability in terms of Learning Style of Junior High School Students by Amelia Nabila Putri, Rania Alfi Syahrin, Nailil Inayah, Binar Kurnia Prahani

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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

“…The perception of people’s facial expressions in photographs taken during an event can provide quantitative data on how much fun these people have in general. …”
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