Elliptic Curve Cryptography with Machine Learning by Jihane Jebrane, Akram Chhaybi, Saiida Lazaar, Abderrahmane Nitaj

“…In this paper, we present an overview of machine learning and Elliptic Curve Cryptography algorithms. …”
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Few-shot Learning: Methods and Applications by Li Jiaxiang, Li Mingyang

“…This approach leverages methods involving meta-learning, transfer learning, and data augmentation to boost the model's ability to recognize new categories. …”
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MOBILE APPLICATIONS FOR TASKS OF DISTANCE LEARNING by T. A. Demenkova, V. S. Tomashevskaya, I. S. Shirinkin

“…The results of experiments according to key parameters of the program system are presented.…”
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E-LEARNING AND THE DEVELOPMENT OF INTERCULTURAL COMPETENCE by Meei-Ling Liaw

“…This study presents findings on the efficacy of an online learning environment developed to foster EFL students’ intercultural competence via reading articles on topics of their own culture and communicating their responses with speakers of another culture. …”
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Survey of split learning data privacy by QIN Yiqun, MA Xiaojing, FU Jiayun, HU Pingyi, XU Peng, JIN Hai

“…The causes of these attacks in the training phase of split learning were then analyzed, and corresponding defenses were presented. …”
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Perceptions and challenges of mobile learning in Kuwait by Ahmed Al-Hunaiyyan, Rana A. Alhajri, Salah Al-Sharhan

“…This study reports on the results of a survey conducted on 623 students, and 132 instructors from HE institutions in Kuwait, in order to understand their perceptions and opinions about the effectiveness of the use of mobile learning. An analysis of the quantitative survey findings is presented in this article, and the findings indicated that students and instructors are very familiar with mobile devices and its applications. …”
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Learning epigenetic regulation from mycobacteria by Sanjeev Khosla, Garima Sharma, Imtiyaz Yaseen

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In-depth Analysis on Machine Learning Approaches by Abdulhady A. Abdullah, Nergz S. Mohammed, Maryam Khanzadi, Safar M. Asaad, Zrar Kh. Abdul, Halgurd S. Maghdid

“…To this end, this article presents a comprehensive overview of the approaches of ML, including supervised, unsupervised, semi-supervised, reinforcement, and self-learning. …”
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Student Perceptions of Online Learning in Physiotherapy by Denis Arsovski, Natasha Chichevska Jovanova

“…While digital platforms provide accessibility and flexibility, they also introduce some challenges, affecting the quality of education.Objectives: The aim of this study is to investigate the perceptions of physiotherapy students for online learning, with focus on its advantages, challenges and preferred future directions in the education of physiotherapy students.Methods: In the present study, 122 physiotherapy students from educational institutions in North Macedonia and Bulgaria were included in this research. …”
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Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…Here we propose a novel method for computational optimization of associative learning experiments. We first formalize associative learning experiments using a low number of tunable design variables, to make optimization tractable. …”
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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

“…This paper presents a systematic review of the scientific literature published between 1 January 2020 and 31 May 2025. …”
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fide: Learning in Scenarios | Teacher Cognition

“…Key Contributions: The issue features a range of articles examining the didactic potential of literature in language learning contexts, especially in multilingual classrooms. …”
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Learning and cognition in highspeed decision making by Martin Krause, Wolfram Schulze, Stefan Schuster

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Fluid Intelligence in Children with Learning Disabilities by Irina E. Rzhanova, Olga S. Alekseeva, Viktoriya S. Britova, Yulia A. Burdukova

“…This article presents a study on fluid intelligence in children with learning disabilities. …”
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Students’ Engagement and Motivation in Gamified Learning by Mihaela Covrig, Simona Irina Goia (Agoston), Ramona Ștefania Igreț, Cristian Virgil Marinaș, Alexandra Dorina Miron, Monica Roman

“…The purpose of the present paper is to assess and depict the engagement of students in the field of economics and business in gamified learning and to understand the relationship between engagement and motivation in gamified learning, elements less studied in the context of economics and business higher education, as shown in the literature. …”
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Visuospatial sequence learning without seeing. by Clive R Rosenthal, Christopher Kennard, David Soto

“…<h4>Methodology/principal findings</h4>Dichoptic stimuli were presented on a novel sequence learning task using a mirror stereoscope to mask the eye-of-origin of visual input from conscious awareness. …”
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Machine learning-driven nanoparticle toxicity by Zied Hosni, Sofiene Achour, Fatma Saadi, Yangfan Chen, Mohammed Al Qaraghuli

“…This study presents a comprehensive machine learning-driven analysis to understand and predict the toxicity of nanoparticles (NPs), a crucial aspect in ensuring the safe application of nanotechnology in medicine, pharmaceuticals, biotechnology, and various other industries. …”
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Transfer Learning for Facial Expression Recognition by Rajesh Kumar, Giacomo Corvisieri, Tullio Flavio Fici, Syed Ibrar Hussain, Domenico Tegolo, Cesare Valenti

“…Traditional facial expression recognition methods face challenges in real-world healthcare applications due to variations in facial structure, lighting conditions and occlusion. We present a methodology based on transfer learning with the pre-trained models VGG-19 and ResNet-152, and we highlight dataset-specific preprocessing techniques that include resizing images to 124 × 124 pixels, augmenting the data and selectively freezing layers to enhance the robustness of the model. …”
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Monkeypox Diagnosis With Interpretable Deep Learning by Md. Manjurul Ahsan, Md. Shahin Ali, Md. Mehedi Hassan, Tareque Abu Abdullah, Kishor Datta Gupta, Ulas Bagci, Chetna Kaushal, Naglaa F. Soliman

“…As the world gradually recovers from the impacts of COVID-19, the recent global spread of Monkeypox disease has raised concerns about another potential pandemic, highlighting the urgency of early detection and intervention to curb its transmission. Deep Learning (DL)-based disease prediction presents a promising solution, offering affordable and accessible diagnostic services. …”
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THE PROBLEM OF INTERDISCIPLINARITY IN LEARNING PROCESS STUDIES by I. M. Osmolovskaya, L. A. Krasnova

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