Multimodal Latent Representation Learning for Video Moment Retrieval by Jinkwon Hwang, Mingyu Jeon, Junyeong Kim

“…We propose a new method called the multimodal latent representation learning framework (MLRL) to address these limitations. …”
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Sophomore Students’ Voice of Web-Based Learning English. by Ranta Butarbutar, Angla Florensy Sauhenda, Arfiani Arfiani, Ermelinda Agnes Gunu Pure

“…The present study aims to bridge the gaps between limited Web-based Learning English (WBLE) focused on speaking ability enhancement and sophomore multilevel speaking students' perceptions and to design a qualitative narrative study using seven sophomore university students aged 20-24 years old. …”
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Machine Learning Techniques for Kinship Verification: A Review by Olivia Oraha, Yusra Mohammad

“…Thus, with the progress of years the kinship verification entered the computer vision world to determining the relationships using machine learning (ML) algorithms such as deep learning, transfer learning techniques and others. …”
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Deep Learning, Critical Thinking and Teaching for Law Reform by Anne Macduff

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THE PROJECT-BASED LEARNING IN CLASS OF SPANISH FOR PROFESSIONAL PURPOSES by EVA Díaz Gutiérrez, MARÍA DEL Suñén Bernal

“…With this workshop we would like to present the principles of project-based learning in second languages and how to implement it when teaching foreign languages. …”
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The Impact of Using Interactive Chatbots on Self-Directed Learning by Ali Al Ghaithi

“…The present study aimed to develop and implement an interactive chatbot in a language-learning setting. …”
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Teaching Physics Through Jigsaw Technique of Cooperative Learning by Muhammad Khan, Farkhanda Rasheed Choudhry Choudhry

“…The present study was conducted to compare the effectiveness of the jigsaw technique of cooperative learning with the traditional lecture-based teaching method for pre-medical female students. …”
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Implementasi Machine Learning untuk Pengenalan Penggunaan Makeup by Fetricia Wulandari, Rian Ferdian

“…This study presents a machine learning-based system designed to recognize face shapes and recommend makeup styles. …”
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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…Commonly employed ML algorithms, including the support vector machine (SVM), genetic algorithm (GA), decision tree (DT), random forest (RF), artificial neural network (ANN), and deep learning (DL), each have unique strengths but also present challenges, such as computational demands, overfitting, and transparency. …”
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Bionics Solution to Learn the Arm Reaching with Collision Avoidance by P. Gorce, P. Bendahan

“…This article presents a learning model that simulates the control of an anthropomorphic arm kinematics motion. …”
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Leveraging Graph Networks to Model Environments in Reinforcement Learning by Viswanath Chadalapaka, Volkan Ustun, Lixing Liu

“…Our results present that our models can generate better-performing sparring partners by employing GNNs, as demonstrated by these experiments in the proof-of-concept environment. …”
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Reinforcement Learning in Energy Finance: A Comprehensive Review by Spyros Giannelos

“…Traditional financial modeling approaches often struggle to capture these intricacies adequately. Reinforcement learning, with its ability to learn optimal decision policies through interaction with complex environments, has emerged as a promising alternative methodology. …”
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Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

“…Designing optimal scheduling algorithms for task allocation in edge cloud clusters presents significant challenges due to the constantly changing workloads and service requests in edge cloud data center environments. …”
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Quantum Machine Learning: Recent Advances, Challenges, and Perspectives by Pradeep Lamichhane, Danda B. Rawat

“…This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. …”
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Ethical Issues in Researching Higher Education Teaching and Learning by Jennie Golding, Amanda Ince

“…Nomenclature around “research” in the associated teaching and learning is contested: professional enquiry, scholarship of teaching and learning, pedagogical research… are some of the terms used. …”
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Heart Disease Prediction with Machine Learning-Based Approaches by Zeynep Hilal Kilimci, Ayhan Küçükmanisa

“…However, the analysis of routine clinical data presents a formidable challenge in identifying cardiovascular ailments. …”
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Neuroscience applied to learning alphabetic principles: new proposals by Leonor Scliar-Cabral

“…    This study reviews recent data on functional illiteracy and advances on neuroscience about the reading process. alarming figures on functional illiteracy will be presented with examples of UK and brazil. Empirical evidences brought by neuroscience prove the neuropsychological basis constructs, namely invariance already claimed by modern linguistics. however, emphasis will be given to the psychological reality of letters’ feature invariance, demonstrated by various experiments which had been recently run by neuroscientists. two types of invariance are shown, the spatial and the font invariance, exemplified by a description of invariant features of the roman alphabet. …”
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Deep reinforcement learning applications and prospects in industrial scenarios by JING TAN, Ligang YANG, Xiaorui LI, Zhaolin YUAN, Yunduan CUI, Chao YAO, Zongjie WANG, Xiaojuan BAN

“…However, with the rapid advancements in Industry 4.0 and smart manufacturing, traditional control methods are increasingly inadequate to address the growing complexity, high dynamics, and real-time demands of modern industrial environments. Deep reinforcement learning (DRL), which integrates the high-dimensional feature extraction of deep learning with the adaptive decision-making capabilities of reinforcement learning, has emerged as a transformative technology in intelligent industrial control. …”
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When Teaching and Learning Microbiology Engage Societal Needs by María‐José Valderrama, Etna Nebreda, Noemí López‐Ejeda, María Linares

“…ABSTRACT This article explores the integration of community‐based learning into microbiology education, using as an example the Service‐Learning (S‐L) programme ‘Movies in company for preventing diseases’ implemented at the Complutense University of Madrid. …”
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Simulation of granular flows and machine learning in food processing by X. Cui, D. Adebayo, H. Zhang, M. Howarth, A. Anderson, T. Olopade, K. Salami, S. Farooq

“…Our DEM and continuum simulation results show good agreement in modeling the chute flow, and the machine learning approach demonstrates promising potential for predicting flow patterns. …”
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