Reflections on Students’ Synchronous Learning to Engage Autonomous Learning by Khulaifiyah Khulaifiyah, Andri Eko Prabowo, Andi Idayani, Erna Nawir

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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“… This paper aimed to investigate human emotion recognition through the analysis of facial expressions, using both classical machine learning methods and advanced techniques based on deep neural networks. …”
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Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation by S. Rashmi, S. Srinath, R. Rakshitha, B. V. Poornima

“…Abstract The study explores end-to-end deep learning frameworks and ensemble methods to enhance the accuracy of anatomical landmark identification in cephalometric radiographs, crucial for precise cephalometric analysis and effective orthodontic treatment planning. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…The outcome of this study focuses on various AD methods from 2019 to 2023. These techniques are categorized further into machine learning (ML), deep learning (DL), and federated learning (FL). …”
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BLENDED LEARNING AS TOOL OF INTENSIFICATION OF EDUCATIONAL PROCESS IN TEACHING DISCIPLINE «METHODS AND TECHNOLOGIES OF DISTANCE LEARNING» by O. Gnedkova

Subjects: “…blended learning…”
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Development of Mathematics Learning Methods Through E-Learning Media in SMP Amir Hamzah Medan by Muhammad Arif Hidayat, Marhan Hasibuan

“…This research aims to develop an e-learning-based method of learning mathematics through a network (computer network). …”
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Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing by Eslam Hussein Sayed, Amerah Alabrah, Kamel Hussein Rahouma, Muhammad Zohaib, Rasha M. Badry

“…Artificial Intelligence, using Machine Learning and Deep Learning techniques, can provide a more efficient solution. …”
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Transfer learning and the early estimation of single-photon source quality using machine learning methods by David Jacob Kedziora, Anna Musiał, Wojciech Rudno-Rudziński, Bogdan Gabrys

“…Hence, this study is a sequel to previous work that demonstrated significant uncertainty in the standard method of quality estimation, i.e. the least-squares fitting of a physically motivated function, and asks: can machine learning (ML) do better? …”
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Investigation of Teaching-Learning Process in Teaching Principles and Methods Course in terms of Student-Centered Learning by Funda Uysal

“…The aim of this study is to examine the teaching principles and methods course in the context of the student-centered learning dimension of the Bologna process. …”
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Development of Moodle-based Learning Media using Blended Learning Methods in Graphic Design Subject by Arif Setiawan, Dimas Radika Putra, Sujalwo Sujalwo, Aditya Nur Cahyo

“…This research aims to develop learning media using Moodle and apply blended learning methods to help improve the learning effectiveness of students at SMK Muhammadiyah 1 Klaten. …”
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Development of Liping Arts Methods (Performance, Exploration, Brainstorming) in PKN Learning by Jauhan Budiwan, Abdah Munfaridatus Sholihah

Subjects: “…Methods; Liping Arts; PEB Approach; Civics Learning…”
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Effective methods of teaching regional studies by Victoria R. Sagitova, Elvira R. Galiullina, Louise K. Karimova

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Comparison of Classical Arima Forecasting Methods to the Machine Learning LSTM Method: a Case Study on DAX® 50 ESG Index by Rosinus, Manuel

“…This has led to the adoption of machine learning methods like Long Short-Term Memory (LSTM) networks, which are specifically designed to recognize long-term dependencies in sequential data, offering a potential advantage in modeling volatile financial time series. …”
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A Learning and Teaching Method for the Online Environment that Delivers: Coupling a Soft Socratic Method with a Humanistic, Nurturing Approach by Alex C Evans

“…With the movement of learning and teaching online by universities in 2020 due to the COVID-19 pandemic and attendant lockdowns, one question became important – what is a successful pedagogical method for the online environment? …”
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Rain Class’s influence on students’ comprehensive learning of English as the aiding method of TESOL blended learning by Kong Xiangyi

“…Due to this occasion, lots of teaching methods have been derived, including mixed teaching, which combines both online and offline learning processes, to help the students better learn English conveniently and easily to review the knowledge that they had learned. …”
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FedDDPG: A reinforcement learning method for federated learning-based vehicle trajectory prediction by Jinlong Li, Ruonan Li, Guojie Ma, Weihong Yang, Hongye Wang, Zhaoquan Gu

“…However, trajectory data collected from roadside units often contains varying levels of noise, which poses unique challenges for traditional FL methods. To address these challenges, this paper proposes a personalized optimization solution called FedDDPG (Federated Learning with Deep Deterministic Policy Gradient) for VTP with FL paradigm. …”
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MetaZero: A Novel Meta-Learning Method Suitable for Generalized Zero-Shot Learning by Zeqing Zhang, Zefei Zhang, Na Jin, Fanchang Yang, Wei Zhao

“…Meta-learning has been introduced to mitigate this problem, but the models of current meta-learning approaches only learn to face the novel classes rather than learn to face the strong biased problem during the training, which is the main reason for the poor performance of most methods in GZSL. …”
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Developing Students’ Learning Interests in Islamic Religious Education through Contextual Teaching and Learning Method by Dawud Suhadak, Nurul Latifatul Inayati

“…This research is important because it can provide insight into how the Contextual Teaching and Learning (CTL) method can increase students’ interest in learning Islamic Religious Education (Pendidikan Agama Islam/PAI). …”
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Effect of Blended Learning Method (Flex Model) on Final-Year Students of BAMS to Learn Shalyatantra by Pooja Shrivastav, Babaji Ghewade, Shweta Parwe, Sheetal Asutkar

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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) by Zhigang Yu, Jiahui Liu, Mingchuan Yang, Yanmin Cheng, Jie Hu, Xinchi Li

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