Machine Learning Models in the Detection of MB2 Canal Orifice in CBCT Images by Shishir Shetty, Meliz Yuvali, Ilker Ozsahin, Saad Al-Bayatti, Sangeetha Narasimhan, Mohammed Alsaegh, Hiba Al-Daghestani, Raghavendra Shetty, Renita Castelino, Leena R David, Dilber Uzun Ozsahin

“…The classification metrics (area under curve [AUC], accuracy, F1-score, precision) of the models were assessed in 3 steps. Results: NN (0.896), LR (0.893), and SVM (0.886) showed the highest values of AUC with specified target variables (steps 2 and 3). …”
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Online calibration of deep learning sub-models for hybrid numerical modeling systems by Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

“…We demonstrate that the EGA converges to the exact gradients in the limit of infinitely small time steps. Numerical experiments show significant improvements over offline learning, highlighting the potential of end-to-end learning for hybrid modeling.…”
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Deep Reinforcement Learning-Based Enhancement of Robotic Arm Target-Reaching Performance by Ldet Honelign, Yoseph Abebe, Abera Tullu, Sunghun Jung

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A link prediction approach based on deep learning for opportunistic sensor network by Jian Shu, Qifan Chen, Linlan Liu, Lei Xu

“…In this article, a novel deep learning framework is proposed to predict links for opportunistic sensor network. …”
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The Integration of Facebook to Make Teaching and Learning Writing Skill in EFL More Entertaining by Dita Amelia Rosang

“…The results showed that Facebook was able to encourage student participation and achievement in language learning. There are several steps in implementing Facebook as a more entertaining way of learning to teach EFL writing skills, such as having a Facebook account, online classes on Facebook, assignments or assignments on Facebook, sharing ideas, and feedback. …”
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INTERACTIVE LEARNING MULTIMEDIA: ENHANCING VOCABULARY MASTERY FOR JUNIOR HIGH SCHOOL STUDENTS by Wahyu Budiyani, Sujarwo Sujarwo

“…The development model used is the ADDIE modification development model. The steps in the ADDIE development consist of five stages; namely analyzing, design, development, implementation, and evaluation. …”
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Development of Educational Game-Based E-Modules to Improve Autonomous Learning Skills by Indah Yana, Miftahus Surur, Fathor Rakhman, Lusi Endang Sri Darmawati

“…The creation of this medium is predicated on the findings of an examination of the traits of pupils who depend more on teacher explanations and are less engaged in their learning. The five steps of the ADDIE model—analysis, design, development, implementation, and evaluation—make up the employed development process. …”
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Standardizing training protocol of an intestinal transplantation model: A learning curve study by J. Azpiroz, J.C. Abate, A.M. Andres Moreno, J.E. Moreira, F. Hernandez Oliveros, J.C. Raimondi, G. Gondolesi, N.R. Lausada, P. Stringa

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Knowledge embedding and interpretable machine learning optimize comprehensive benefits for water treatment by Yu-Qi Wang, Wenchong Tian, Hao-Lin Yang, Yun-Peng Song, Jia-Ji Chen, Qiong-Ying Xu, Wan-Xin Yin, Le-Qi Ding, Xi-Qi Li, Han-Tao Wang, Ai-Jie Wang, Hong-Cheng Wang

“…Abstract Perikinetic and orthokinetic flocculation are the first steps in drinking water treatment plant (DWTP) and affect all subsequent processes. …”
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Living, Caring, Learning – Setting boundaries for the wellbeing of everyone in bleeding disorders care by Harrison Cathy

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A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade by Md. Al-Masrur Khan, Md Rashed Jaowad Khan, Abul Tooshil, Niloy Sikder, M. A. Parvez Mahmud, Abbas Z. Kouzani, Abdullah-Al Nahid

“…To ease control over this engineering marvel substantially, Reinforcement Learning (RL) has paved its way in recent years quite remarkably. …”
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Visual Object Tracking in RGB-D Data via Genetic Feature Learning by Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla

“…Extracting robust features of object is one of the most important steps in tracking. As trackers, only formulated on RGB data, are usually affected by occlusions, appearance, or illumination variations, we propose a novel RGB-D tracking method based on genetic feature learning in this paper. …”
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A Deep Learning Approach for Diabetic Retinopathy Classification Using Retinal Images by Rathod-Jadhav Kavita, Pande Aparna

“…Early detection is extremely important for effective management and the prevention of serious complications. The deep learning approach for classifying diabetic retinopathy using retinal imaging is an automated system for classifying diabetic retinopathy using deep learning techniques. …”
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Development of Multimedia-Based Learning Media for Recognizing Wild Animals for Early Childhood by Carissa Trissiasal Sabilla, Perdana Afif Luthfy, Anita Chandra Dewi Sagala

“…However, with technological advances, many teachers still use guidebooks as a learning medium, sometimes dull children. This research aims to create exciting learning media for young children about recognizing wild animals. …”
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IMPROVING STUDENTS’ WRITING SKILLS USING COOPERATIVE LEARNING AT SMPN 2 SUKODONO by Hertiki - Hertiki, Juliati Juliati

“…This research was conducted in order to find out whether using Cooperative Learning is effective to improve students’ writing skills or not. …”
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Enhanced anomaly traffic detection framework using BiGAN and contrastive learning by Haoran Yu, Wenchuan Yang, Baojiang Cui, Runqi Sui, Xuedong Wu

“…To address these challenges, this paper proposes an enhanced anomaly traffic detection framework using bidirectional generative adversarial networks (BiGAN) and contrastive learning. This method preprocesses high-dimensional data through steps such as data cleaning, normalization, and clustering to improve data quality. …”
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The use of google sites in civic education learning in the Covid-19 pandemic era by Mitra Permatasari, Mukhamad Murdiono, Chandra Dewi Puspitasari

“…Data collection techniques are interviews, observations, and documentation during the learning process. The results showed that the use of google sites in Civics learning in the Covid-19 pandemic era included planning and organizing by designing steps or stages to achieve goals. …”
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Optimal control of manipulator with joint clearance compensation via generalized policy learning by Wenting Liu, Qingliang Zeng, Zhiwen Wang, Jun Zhao, Lin Kong

“…To implement the optimal control strategy, a generalized policy learning algorithm is developed, which reduces the dependency on known system dynamics. …”
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PROJECT-BASED DIGITAL GUIDEBOOK: LEARNING TO WRITE SPEECH TEXTS FOR ELEMENTARY STUDENTS by Afrilia Bayu Ivanka, Cerianing Putri Pratiwi, Ivayuni Listiani

“…Data analysis techniques include qualitative data analysis, carried out interactively and continuously until the data becomes saturated. The steps in data analysis are (1) Data collection, (2) Data reduction, (3) Data presentation, and (4) Conclusion drawing/verification. …”
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Investigating the Impact of Universal Design for Learning: Empowering Students with Disabilities in Higher Education by Novembli Meta Silfia, Hasanah Nisaul, Fitriani Dina

“…UDL encourages considering complex learning factors, including structured decisions in learning design, students’ motivation to learn, and the learning environment. …”
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