The implementation of learning writing and development of character values of high school students by Herman Budiyono, Suroso Suroso, Priyanto Priyanto

“…Data analysis steps include data reduction, data presentation, and drawing conclusions. …”
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A brain-inspired sequence learning model based on a logic by Bowen Xu

“…The model’s learning mechanism encompasses three steps: hypothesizing, revising, and recycling, enabling it to operate effectively under conditions of insufficient knowledge and resources. …”
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Classification of ductile cast iron specimens: a machine learning approach by A. De Santis, D. Iacoviello, V. Di Cocco, F. Iacoviello

“…In this paper an automatic procedure based on a machine learning approach is proposed to classify ductile cast iron specimens according to the American Society for Testing and Materials guidelines. …”
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EAQR: A Multiagent Q-Learning Algorithm for Coordination of Multiple Agents by Zhen Zhang, Dongqing Wang

“…We propose a cooperative multiagent Q-learning algorithm called exploring actions according to Q-value ratios (EAQR). …”
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Deepening Mathematical Understanding Using Visualization and Interactive Learning for Deaf Students by Stefanie Amiruzzaman, Md Amiruzzaman, Heena Begum, Deepshikha Bhati, Tsung Heng Wu

“…Paying attention to class lectures and following instructions for different steps to solve a problem are the keys to success in learning mathematical concepts. …”
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A Driver’s Calling Behavior Detection Method Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei, LIU Shiwang, LUO Xiao, DING Chi

“…This paper proposed a driver’s cell phone calling behavior detection algorithm based on deep learning. The algorithm comprises two steps. Firstly, face detection and face tracking is supported by PCN (progressive calibration networks) to determine the calling detection area. …”
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Machine learning for predicting resistance spot weld quality in automotive manufacturing by Nuttapong Chuenmee, Nattachai Phothi, Kontorn Chamniprasart, Sorada Khaengkarn, Jiraphon Srisertpol

“…Despite its advantages, accurately evaluating RSW remains challenging, resulting in additional costs and production steps. Current inspection methods, reliant on random checks after cars leave the Body-in-White (BIW), often lead to significant time losses, emphasizing the necessity for enhanced quality assessment. …”
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Arabic Speaking Skill Learning Using Word Chain Game in Madrasah by Sri Wahyuni, Mahyudin Ritonga, Reni Fitriani, Hendri Pitrianto, Zalika Adam

“…Qualitative analysis consists of three steps after data collection: data condensation, data presentation, and conclusion drawing or verification. …”
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Prediction of Steering Angle in Autonomous Vehicles Using Deep Learning Approach by Karemore Yogesh, Dronkar Swati

“…The dataset used includes simulated driving scenarios with corresponding telemetry, and extensive preprocessing steps such as image cropping, normalization, and data augmentation were applied to enhance generalization. …”
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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

“… The UK financial sector increasingly employs machine learning techniques to enhance revenue and understand customer behaviour. …”
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Competency-Based Syllabus and Skills-Based Syllabus of Arabic Learning in College by Nuraini Nuraini

“…So that he can perform cognitive, affective and psychomotor behaviors as well as possible.This study uses a development research method developed by Jack Richard which modified according to the needs in the development of the syllabus. Thus, the research steps include the study of documents on the syllabus that is already running, observation of learning using a running syllabus, and analysis of needs for the development of the syllabus, and developing the syllabus for Arabic language learning in higher education. …”
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Tooth ARcademy: A mobile app for teaching and learning of oral histology. by Nazlee Sharmin, Hady Abdallah, Elias Jirgees, Ava K Chow

“…m-Learning is gaining popularity in health professional education; however, reports on mobile apps targeting didactic teaching and learning are scarce, particularly in the context of health professional courses such as histology. …”
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Distance Learning Activities For The Nahwu Subjects For Students In Islamic Boarding School by Faris Maturedy

“…Once the data is gathered and considered adequate, it undergoes three critical steps of analysis: reduction, presentation, and drawing conclusions. …”
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Thermochemistry Comic as A Self Learning Resource for Grade 11 Students by Siska Oktapianti

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Use of E-Learning Platforms in the Training of Personnel in the Air Transport Industry by IONUȚ-CLAUDIU POPA

“…Also, I sought to highlight the advantages and disadvantages of using e-learning tools and mobile learning applications, even in the information-learning process. …”
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Development of Physics Demonstration Videos on Youtube (PDVY) as Physics Learning Media by A I Irvani, R Warliani

“…The aims of this study were (1) to develop physics learning media in the form of demonstration videos; (2) testing the feasibility of using demonstration videos as a medium for learning physics; and (3) knowing student responses to demonstration videos. …”
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Deep Learning-Based Multistage Fire Detection System and Emerging Direction by Tofayet Sultan, Mohammad Sayem Chowdhury, Mejdl Safran, M. F. Mridha, Nilanjan Dey

“…This study addresses the critical need for a comprehensive fire detection system capable of multistage classification, differentiating between non-fire, smoke, apartment fires, and forest fires. We propose a deep learning-based model using a customized DenseNet201 architecture that integrates various preprocessing steps and explainable AI techniques, such as Grad-CAM++ and SmoothGrad, to enhance transparency and interpretability. …”
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A beginner’s approach to deep learning applied to VS and MD techniques by Stijn D’Hondt, José Oramas, Hans De Winter

“…One solution to overcoming these difficulties lies in the field of machine learning (ML), and more specifically deep learning (DL). …”
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Facilitating Large Language Model Russian Adaptation with Learned Embedding Propagation by Михаил Тихомиров, Даниил Чернышев

“…Further improvements were observed through self-calibration and additional instruction-tuning steps, enhancing task-solving capabilities beyond the original models. …”
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Prediction of dialysis adequacy using data-driven machine learning algorithms by Yi-Chen Liu, Ji-Ping Qing, Rong Li, Juan Chang, Li-Xia Xu

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