Learning predictive signatures of HLA type from T-cell repertoires. by María Ruiz Ortega, Mikhail V Pogorelyy, Anastasia A Minervina, Paul G Thomas, Thierry Mora, Aleksandra M Walczak

Get full text

Physics-informed deep generative learning for quantitative assessment of the retina by Emmeline E. Brown, Andrew A. Guy, Natalie A. Holroyd, Paul W. Sweeney, Lucie Gourmet, Hannah Coleman, Claire Walsh, Athina E. Markaki, Rebecca Shipley, Ranjan Rajendram, Simon Walker-Samuel

Get full text

Guest Editorial: Deep Learning for Visual Information Analytics and Management by krishna Kant Singh, Ahmed Elngar, Md Arafatur Rahman

“…The special issue aims to cover the latest research topics in designing and deploying visual information analytics and management techniques using deep learning. It is intended to serve as a platform to researchers who want to present research in deep learning. …”
Get full text

The superior memory effect of insightful learning: The role of associative novelty by Zhonglu Zhang, Yuye Si, Lan Wang, Kaiyun He

“…This study aims to investigate the role of novelty in insightful learning on associative memory and metamemory using a Chinese logogriph learning-testing paradigm. …”
Get full text

Assessment of Learning Disabilities for Future Implications of Physical Education Students by Alamgir Khan, Muhammad Zafar Iqbal Butt, Muhammad Jamil

“… The present study aimed to assess the learning disabilities of physical education students and to suggest future implications. …”
Get full text

Estimation of emerald mineralization probability using machine learning algorithms by Daniela Neva-Rodriguez, Luis Hernán Ochoa-Gutierrez

“…This research proposes a machine learning (ML) model that estimates the probability of emerald mineralization in rocks of the Western Emerald Belt (CEOC). …”
Get full text

User preference modeling for movie recommendations based on deep learning by Yang Gao, Hong Zheng, Haonan Cui

“…This research introduces a novel deep learning-powered method to enhance movie recommendation models, addressing the limitations of existing systems. …”
Get full text

Improving Student Learning Outcomes Through The Use of Kahoot Media by Karliana Indrawari, Idi Warsah, Aini Syahira Jamaluddin

“…When Kahoot media is used effectively in class, learning objectives can be met. The meaning of the material presented is explained by media kahoot. …”
Get full text

Active and Interactive Methods of Pedagogical Interaction in System of Distance Learning by T. A. Boronenko, A. V. Kaysina, V. S. Fedotova

“…The results of the analysis of the role of active and interactive methods of pedagogical interaction in distance learning systems are presented. The research urgency is caused by necessity of designing the content of educational programs of vocational training using distance learning technologies in the context of the activity paradigm of education, focused on improving its efficiency and quality. …”
Get full text

Hybrid feature learning framework for the classification of encrypted network traffic by S. Ramraj, G. Usha

“…Furthermore, the study shows that using a hybrid framework of DNN with SVM can address the class imbalance problem often present in machine learning.…”
Get full text

Iranian EFL Learners’ Perceptions towards Demotivation in Learning English by Abbas Paziresh, Nilofar Hessamodini, Zohre Jafari

“…Therefore, inspired by such a gap, the present study investigated Iranian high school EFL students’ perceptions of demotivation in learning English. …”
Get full text

Pedagogical Evaluation and Recommendations on Software Design for English Intonation Learning by Nawel Bengrait

“…The present paper aims at (i) evaluating different set of speech technologies that were used by the researcher in English Foreign Language (EFL) classroom during courses of phonetics, and (ii) providing pedagogical suggestions on how to design software for the teaching and learning of English intonation that suits Algerian non-native speakers’ needs. …”
Get full text

Older Adult EFL Learners’ Readiness for Autonomous Language Learning by Ebru Noyan

“…Learner-centred education has emphasized the significance of learner autonomy in language learning over the past forty years. Currently, the literature on the topic implies that cultural and educational environments affect autonomous learning perception and practice, therefore students’ readiness must be examined before creating autonomous learning activities. …”
Get full text

AI-Driven Phishing Detection: Enhancing Cybersecurity with Reinforcement Learning by Haidar Jabbar, Samir Al-Janabi

“…Phishing remains a persistent cybersecurity threat, often bypassing traditional detection methods due to evolving attack techniques. This study presents a Reinforcement Learning (RL)-based phishing detection framework, leveraging a Deep Q-Network (DQN) to enhance detection accuracy, reduce false positives, and improve classification performance. …”
Get full text

Learning-based control for tendon-driven continuum robotic arms by Nima Maghooli, Omid Mahdizadeh, Mohammad Bajelani, S. Ali A. Moosavian

“…Addressing these challenges necessitates the development of advanced control strategies capable of adapting to diverse operational scenarios. This paper presents a centralized position control strategy using Deep Reinforcement Learning, with a particular focus on the Sim-to-Real transfer of control policies. …”
Get full text

Design of an Effective WSN-Based Interactive u-Learning Model by Hye-jin Kim, Ronnie D. Caytiles, Tai-hoon Kim

“…This paper presents a model of an effective and interactive ubiquitous learning environment system based on the concepts of ubiquitous computing technology that enables learning to take place anywhere at any time. …”
Get full text

Enhancing construction robot collaboration via multiagent reinforcement learning by Kangkang Duan, Zhengbo Zou

“…., workers and robots) for efficient task execution. In this paper, we present a framework that aims at achieving multiagent reinforcement learning (RL) for robot control in construction tasks. …”
Get full text

Dynamic Risk Thresholds for SIEM Alerting Based on Machine Learning by Artur Kapera, Marcin Niemiec

“…In the article, a theoretical concept of a Dynamic Risk-Based Alerting model for SIEM based on machine learning has been presented. An implementation of such a model in a production environment has also been showcased, with both qualitative and quantitative data indicators gathered from the environment. …”
Get full text

Mobile EEG in Education & Language Learning: A Scoping Review by Jincai Yang, Craig Neville, Máire Ní Riordáin

“… Mobile Electroencephalography (mEEG) has emerged as a promising tool for studying cognitive processes in naturalistic learning environments. Unlike traditional EEG, mEEG offers portability, allowing real-time brain activity monitoring in classroom settings. …”
Get full text

Optical quantum sensing for agnostic environments via deep learning by Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao

“…However, conventional methodologies often rely on prior knowledge of the target system to achieve HL, presenting challenges in practical applications. Addressing this limitation, we introduce an innovative deep-learning-based quantum sensing scheme (DQS), enabling optical quantum sensors to attain HL in agnostic environments. …”
Get full text