Application of blended learning in Islamic cultural history subjects to increase student learning interest by Zaimudin Zaimudin, Muhamad Ihza Pramudya

“…The results of this research are in the form of applications carried out using the PBL (Problem-Based Learning) blended learning method and convey that, there is an increase in student interest in studying Islamic cultural history subjects so that the stimulus provided can be conveyed well without catching up with the teaching material presented. so that it can make students feel burdened by the learning carried out that day.…”
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Toward learning steelmaking—A review on machine learning for basic oxygen furnace process by Maryam Khaksar Ghalati, Jianbo Zhang, G. M. A. M. El‐Fallah, Bogdan Nenchev, Hongbiao Dong

“…This paper presents the first comprehensive review of ML applications in the BOF steelmaking process. …”
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Pedagogy framework design in social networked-based learning: Focus on children with learning difficulties by Samira Sadat Sajadi, Tariq M Khan

“…This paper presents an investigation on the theory of constructivism applicable for learners with learning difficulties, specifically learners with Attention Deficit Hyperactivity Disorder (ADHD). …”
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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning (ML) and deep learning (DL) models for the early prediction of ovarian cancer using clinical and biomarker data. …”
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Effect of ICT-Based Learning Media on Student Learning Outcomes: A Scoping Review by Mochamad Kamil Budiarto, Asrowi, Gunarhadi, Sunardi, Abdul Rahman

“… The lack of innovative implementation of digital learning media presents obstacles to accessing course materials, leading to unequal learning opportunities among students and, subsequently, lower graduate competencies. …”
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The Utilization of Learning Technology to Improve Learning Outcomes in Islamic Education for Students in the Digital Age by Ulfa Ainunisa, Imam Syafi'i, Agus Jatmiko

“…This study aims to analyze the use of learning technology, particularly the interactive digital media Kahoot, in improving Islamic education learning outcomes. …”
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Deep learning and transfer learning for device-free human activity recognition: A survey by Jianfei Yang, Yuecong Xu, Haozhi Cao, Han Zou, Lihua Xie

“…This paper surveys the recent progress of deep learning and transfer learning for device-free activity recognition. …”
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

“…Motion primitives are a highly useful and widely employed tool in the field of Learning from Demonstration (LfD). However, obtaining a large number of motion primitives can be a tedious process, as they typically need to be generated individually for each task to be learned. …”
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Artificial Intelligence In Project-Based Learning as a Resource for Learning Local History In Bandung by Yani Kusmarni, Ayi Budi Santosa, Murdiyah Winarti, Yeni Kurniawati, Iing Yulianti, Faujian Esa Gumelar, Dimas Aldi Pangestu

“…The study results show that 1) the PjBL model effectively combines with Artificial Intelligence (AI). 2) Presenting Local History content in a different format makes the learning experience more diverse and exciting. …”
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Enhancing Power Allocation in DAS: A Hybrid Machine Learning and Reinforcement Learning Model by S. Gnanasekar, K. C. Sriharipriya

“…The proposed method combines Machine Learning (ML) for predictive modeling with Multi-Agent Reinforcement Learning (MARL) for real-time coordination among RAUs. …”
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The Use of Solite Kids Interactive Learning Media to Improve Fiqh Learning Outcomes in Madrasah by Izzah Nur Hudzriyah Hasan, Imam Syafi’i, Muhammad Fahmi, Laili Mas Ulliyah Hasan

“… Technological advancements in education require teachers to present engaging and enjoyable learning experiences that align with the characteristics of today’s digital generation. …”
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Integrating technology, ethnomathematics, and realistic mathematics education in learning statistics: A learning trajectory by Farida Nursyahidah, Wardono Wardono, Scolastika Mariani, Kristina Wijayanti

“…It was conducted in three phases: preparation for the experiment, designing learning activities, and retrospective analysis. The resulting learning trajectory consisted of three structured activities: observing pranata mangsa videos to collect and present data, deriving formulas for measures of central tendency, and exploring methods for calculating data dispersion. …”
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The Adoption of Web-Based Learning in the Teaching and Learning of Accounting in South African Secondary Schools by Tesfanesh Kassa Debusho, Patricia Namayammu Mokgosi, Margaret Kholiwe Ntsana

“…Teachers face several challenges when adopting web-based learning to teach Accounting in South African schools. …”
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Epileptic Seizure Detection in EEG Signals Using Machine Learning and Deep Learning Techniques by Hepseeba Kode, Khaled Elleithy, Laiali Almazaydeh

“…This research presents a novel approach to detecting epileptic seizures leveraging the strengths of Machine Learning (ML) and Deep Learning (DL) algorithms in EEG signals. …”
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Critical Factors Governing the Frictional Coefficient in Mg Alloys—Learn From Machine Learning by Negar Bagherieh, Moslem Noori, Dongyang Li, Meisam Nouri

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Teaching design students machine learning to enhance motivation for learning computational thinking skills by Hung-Hsiang Wang, Chun-Han Ariel Wang

“…This study proposes an alternative approach to improve the motivation of design students by introducing machine learning tools into product design processes. We developed an experimental pedagogy in which 56 industrial design university students learned how to use Waikato Environment for Knowledge Analysis (Weka), a machine learning tool, for three hours of design work a week, for a total of eight weeks. …”
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Solar radiation prediction: A multi-model machine learning and deep learning approach by C Vanlalchhuanawmi, Subhasish Deb, Md. Minarul Islam, Taha Selim Ustun

“…Focusing on five input variables—solar irradiance, dew point, temperature, relative humidity, and wind speed—this study evaluates the predictive performance of 13 data-driven models, comprising ten machine learning (ML) and three deep learning (DL) algorithms. …”
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Comparative analysis of machine learning classifiers and deep learning models for categorization of Knee Osteoarthritis by Deo Arpit, Korde Manish, Khatri Amit, Jain Aman, Kumawat Ashish, Rathore Vineeta

“…The scale of KL grading ranges from ‘0’ to ‘4’ where 0 is ‘no osteoarthritis’ and 4 is ‘severe osteoarthritis. By using machine learning and deep learning, this work presented a approach that improves the accuracy of classification of KOA and its level diagnosis by using X-ray images. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…This systematic review provides a state-of-art of Artificial Intelligence (AI) models such as Machine Learning (ML) and Deep Learning (DL) development and its applications in Mexico in diverse fields. …”
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Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features by Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi

“…The main objective of this work is to explore the capacity of AlexNet and different pretrained architecture with transfer learning for the classification of X-ray images. The accuracy achieved with our model is thoroughly presented. …”
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