Deep learning based quantitative cervical vertebral maturation analysis by Fulin Jiang, Abbas Ahmed Abdulqader, Yan Yan, Fangyuan Cheng, Tao Xiang, Jinghong Yu, Juan Li, Yong Qiu, Xin Chen

“…Existing methods are often subjective and time-consuming, while deep learning alternatives withstand the complex anatomical variations. …”
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Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches by Hamed Ghaderi, Nasibe Alipour, Hossein Safari

“…Classifying galaxies is an essential step for studying their structures and dynamics. …”
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Forensic Genetics: A Machine Learning Algorithm for Mutation Modelling by Sofia Antão Sousa, Leonor Gusmão, Marisa Faustino, António Amorim, Nádia Pinto

“…In contrast, for diploid and haplodiploid markers not only hidden mutations can occur, as also multistep mutations can be misinterpreted as single step ones, which biases the modelling of the phenomena [2]. …”
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An Analysis of Lesson Plans for Learning English in the Senior High School by Ni Luh Soma Antari

“…The results showed that the steps taken in the preparation of Indonesian language learning lesson plans followed 5 aspects of the 2013 curriculum lesson plans, namely learning objectives, learning materials, learning activities, media, and learning resources, learning. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…Abstract The domain of computational chemistry has experienced a significant evolution due to the introduction of Machine Learning (ML) technologies. Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the complexity of selecting optimal algorithms, the automation of data pre-processing steps, the necessity for adaptive feature engineering, and the assurance of model performance consistency across different datasets. …”
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Organizational aspects of distance learning in postgraduate training of pharmacy specialists by V. M. Tolochko, M. V. Zarichkova, I. V. Mishchenko, Y. P. Medvedyeva

“…The 5 main steps of implementation have been described, its content and meaning have been studied. …”
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Helicopter reconnaissance indicators sensitivity analysis based on machine learning by JIANG Xinyi, LOU Benchao, ZENG Weiping

“…Firstly, the basic steps of sensitivity analysis of helicopter reconnaissance indicators based on machine learning are introduced. …”
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An e-Learning Environment Based on the Moodle Platform for Iraq Universities by Muayed S AL-Huseiny

“…In this paper we show that implementing a learning management system (LMS) to manage learning process is within reach even with little material and human resources. …”
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LEARNING MODULE ANALYSIS OF PYTHAGOREAN THEOREM BASED ON SCIENTIFIC APPROACH by Yus Mochamad Cholily, Putri Ayu Kusgiarohmah

“…The results of the study indicate that the module is valid, in accordance with the material, language and also there are scientific learning steps. Then, this module is said to be practical because through observation and interviews, the propositional module has met the criteria for practice assessment including, self-instructional, self-contained, stand-alone, adaptive, and user friendly.…”
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Cocurricular Assessment: Aligning Service-Learning With General Education Goals by Ruth Boyd, G. Allen Boyd, Taler Alexander

“…This study provides a framework for implementing high impact practices into cocurricular instruction, as well as steps on how to align this instruction to the general educational goals of institutions. …”
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Short communication: Learning how landscapes evolve with neural operators by G. G. Roberts

“…<p>The use of Fourier Neural Operators (FNOs) to learn how landscapes evolve is introduced. The approach makes use of recent developments in deep learning to learn the processes involved in evolving landscapes (e.g., erosion). …”
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Developing theories of change to advance center for teaching and learning work by Christine Baumgarthuber, Dana Hayward, Jennifer J. Kim, Mary Wright

“…This process involves four&nbsp;steps, moving across scale of a CTL (large group, small group, and individual).…”
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Development of interactive e-books to increase learning independence in statistics by Aryo Andri Nugroho, Ida Dwijayanti, Rina Dwi Setyawati

“…This research offers solutions for the use of teaching materials in the form of e-books that are easy to understand in statistics courses to increase student learning independence. This activity emphasizes more on measuring the achievement of e-modules clearly in their application and implementation in learning. …”
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A Review on Machine Learning Models in Injection Molding Machines by Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, Utkarsh Chadha, Velmurugan Paramasivam

“…In recent research, many critical issues in applying machine learning and neural network in injection molding in practical have been addressed. …”
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Machine learning modeling for thermochemical biohydrogen production from biomass by Yingju Chang, Wei Wang, Jo-Shu Chang, Duu-Jong Lee

“…This paper outlines the steps for applying machine learning (ML) models to predict biohydrogen yields from biomass using thermochemical treatments. …”
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Predictive Control for Steel Rib Bending Based on Deep Learning by Yijiang Xia, Jinhui Luo, Zhuolin Ou, Xin Han, Junlin Deng, Ning Wu

“…Experimental validation using real-world datasets collected from a shipyard’s CNC cold bending machine demonstrates that the T-CNN model significantly reduces the number of steps required for each bending operation, achieving a 75% reduction in production time and substantially enhancing processing efficiency. …”
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Hybrid solver with deep learning for transport problem in porous media by Vladislav Trifonov, Egor Illarionov, Anton Voskresenskii, Musheg Petrosyants, Klemens Katterbauer

“…Abstract In this work, a hybrid solver with deep learning is proposed for numerical modeling of fluid flow in porous media. …”
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Lessons Learned from Three Agrivoltaic Installations in New Jersey by A.J. Both, Bill Bamka, Thierry Besancon, Dunbar Birnie, Clint Burgher, Daniel Gimenez, Serpil Guran, Michael Kornitas, Pete Nitzsche, David Robinson, W. Ross Rucker, Ethan Schoolman, David Specca, Kevin Sullivan, Daniel Ward, Mike Westendorf, Christian Wyenandt

“…This paper discusses the lessons we have learned along the way, including all the steps necessary to see an agrivoltaic project through to completion. …”
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Lessons learned from qualitative fieldwork in a multilingual setting by Shweta Jain Verma

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Addressing mathematics learning challenges through concept-based instruction by Mildret Ncube, Kakoma Luneta

“…The study revealed the following mathematics learning challenges: poor mathematics background; too many rules and long steps involved; boredom and attitude; educator’s pace versus learners’ pace; and lack of variety of activities to reduce boredom.  …”
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