Fractional-Order Iterative Learning Control with Initial State Learning for a Class of Multiagent Systems by Xungen Li, Shuaishuai Lv, Mian Pan, Qi Ma, Wenyu Cai

“…To solve the consensus problem of fractional-order multiagent systems with nonzero initial states, both open- and closed-loop PDα-type fractional-order iterative learning control are presented. Considering the nonzero states, an initial state learning mechanism is designed. …”
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The Use of a Hybrid Strategy Combining Problem-based Learning and Magisterial Lectures to Enhance Learning by Carlos Alberto Acosta-Nassar

“…<p>This paper addresses the problem of capturing the attention of intermediate level students in the Thermodynamics 1 course from the Mechanical and Agricultural Engineering Program, with the purpose of helping students improve their learning process. A hybrid teaching strategy was proposed based on Problem-based Learning (PBL) principles combined with magisterial lectures. …”
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Determinants of Success and Risks of Implementing the “Service Learning” Approach in a Project-Oriented Learning Environment by Ya. A. Aslanov, L. S. Detochenko, A. P. Lepin, E. V. Martynova

“…The article presents the results of the application of the “Service Learning” pedagogical approach at the Southern Federal University (SFU) in the 2023/24 academic year. …”
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A Comparative Study of Sentiment Analysis on Customer Reviews Using Machine Learning and Deep Learning by Logan Ashbaugh, Yan Zhang

“…In this paper, we present a comparative study of sentiment analysis on customer reviews using both deep learning and traditional machine learning techniques. …”
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Language Learning Shifts and Attitudes Towards Language Learning in an Online Tandem Program for Beginner Writers by Constanza Tolosa, Claudia Lucía Ordóñez, Diana Carolina Guevara

“…We present findings of a project that investigated the potential of an online tandem program to enhance the foreign language learning of two groups of school-aged beginner learners, one learning English in Colombia and the other learning Spanish in New Zealand. …”
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QR Code Based Scrapbook Learning Media to Improve Class IV Student Learning Outcomes by Dewa Gede Rai Mahendra, I Gusti Ayu Tri Agustiana

“…Testing the effectiveness of the media obtained the results that H0 was rejected and H1 was accepted, so it can be concluded that the QR code-based scrapbook media is effectively used to improve the learning outcomes of class IV students. The implication of this research is that it can be used as a reference for teachers in presenting learning media that is interesting and appropriate to student characteristics. …”
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Inquiry learning for gender equity using History of Science in Life and Earth Sciences’ learning environments by C. Sousa

“…The main objective of the present work is the selection and integration of objectives and methods of education for gender equity within the Life and Earth Sciences’ learning environments in the current portuguese frameworks of middle and high school. …”
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How do help-seeking and help-abuse affect learning achievement in an interactive learning environment? by Andreas Schulz, Johannes Voermanek

“…The present study investigated the extent to which self-reported help-abuse of 322 student teachers mediates the effect of observed help-seeking on learning number conversion in an ILE. …”
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Digital Learning Media in Interactive Multimedia Based on Inquiry Approach for Sociology Learning in High Schools by Yogi Pinilih, Triana Rejekiningsih, Akhmad Arif Musadad

“… The rapid evolution of technology presents significant challenges in its integration into educational environments. …”
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Learning to suppress tremors: a deep reinforcement learning-enabled soft exoskeleton for Parkinson’s patients by Tamás Endrei, Tamás Endrei, Sándor Földi, Sándor Földi, Ádám Makk, György Cserey, György Cserey

“…We present a deep reinforcement learning-based encoder-actor controller for Parkinson’s tremors in various shoulder and elbow joint axes displayed in dynamic movements.ResultsOur findings suggest that such a control strategy offers a viable solution for tremor suppression in real-world scenarios.DiscussionBy overcoming the limitations of traditional control algorithms, this work takes a new step in adapting biomechanical loading into the everyday life of patients. …”
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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

“…These techniques are categorized further into machine learning (ML), deep learning (DL), and federated learning (FL). …”
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Learning complex spatial dynamics of wildlife diseases with machine learning-guided partial differential equations by Juan Francisco Mandujano Reyes, Gina Oh, Ian McGahan, Ting Fung Ma, Robin Russell, Daniel P. Walsh, Jun Zhu

“…We propose a novel machine learning (ML)-guided approach that leverages prior physical knowledge of ecological systems, using partial differential equations. …”
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Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease. by Syed Mohsin Bokhari, Sarmad Sohaib, Muhammad Shafi

“…This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP), for diagnosing arrhythmia from 12-lead electrocardiogram (ECG) signals. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…This endeavor transcends mere risk mitigation for individual investors, extending to the identification of judicious investment prospects. The present inquiry advocates for the adoption of sophisticated computational methodologies, including machine learning and deep learning, to analyze borrowers’ behavioral patterns, demographic profiles, and credit histories, thus facilitating the prognostication of loan repayment likelihood. …”
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Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning by Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

“…This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automation, classification accuracy, operational efficiency, and real-time decision-making. …”
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Initiating a Full Fulfilment Curriculum-Based Deep Learning: Integration of Knowledge and Character in Learning by Aulia Fitri, Khairul Amin, Zuhri Tauhid, Aulia Ramadona, Wismanto

“…The present study aims to explore the effectiveness of the full fulfilment curriculum in improving the learning quality and shaping students' character through positive behaviours, such as healthy living habits and society. …”
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Organizational Culture of Sukma Bangsa Learning School (Analytical Study of Learning Organization Primordial Value) by Agus Salim Salabi, Muhammad Anggung Manumanoso Prasetyo

“…In terms of data gathered through documentation and interviews with relevant authorities, including focused group observations. The study also presents various manifestations of the Sukma Bangsa School innovations. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…This study explores the use of machine learning (ML) and deep learning (DL) techniques in processing Electroencephalography (EEG) signals to detect various neurological disorders, including Epilepsy, Autism Spectrum Disorder (ASD), and Alzheimer&#x2019;s disease. …”
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Advanced active learning techniques for precision-driven machine-learned potentials in Sb2S3 by V. Priyadarshini, P. Nemthianhoi Zou, Debashish Dash, Sanskriti Mahata, Manwendra Chauhan, Kumar Akash

“…We present a powerful and efficient strategy for modeling amorphous antimony trisulfide (Sb₂S₃) using a Machine-Learned Interatomic Potential (MLIP) developed via an active learning approach based on the Moment Tensor Potential (MTP) framework. …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

“…The rapidly growing world of social media sites such as Twitter, Reddit, Facebook, Instagram, and Weibo has provided new avenues for depression detection using Machine Learning (ML) as well as Deep Learning (DL), which analyze user behavior patterns and linguistic cues for more accurate detection of depression. …”
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