Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. by In-Jae Seo, Yo-Han Lee, Beakcheol Jang

“…In this study, three strategies for transfer learning to fine-tune the image and text modules are presented. …”
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Design of an Improved Model for Personalized Adaptive E-Learning Using Context-Aware Federated Learning and Hierarchical Semantic Graph Analysis by Sirisha Udandarao, Krishna Bhukya, Ramesh Chappa

“…Thus, IMEPAL presents an all-around adaptive learning solution, privacy protected and explainable transformation for the future of intelligent eLearning systems.…”
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Verbal learning on depressive pseudodementia: accentuate impairment of free recall, moderate on learning processes, and spared short-term and recognition memory by Jonas Jardim de Paula, Debora Marques Miranda, Rodrigo Nicolato, Edgar Nunes de Moraes, Maria Aparecida Camargos Bicalho, Leandro Fernandes Malloy-Diniz

“…Memory complaints are one of the most related cognitive symptoms in DPD. The present study aims to assess the verbal learning profile of elderly patients with DPD. …”
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Prediction of Shear Strength of Steel Fiber-Reinforced Concrete Beams with Stirrups Using Hybrid Machine Learning and Deep Learning Models by B. R. Kavya, A. S. Shrikanth, K. S. Sreekeshava

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The Impact of a Learning Analytics Based Feedback System on Students’ Academic Achievement and Self-Regulated Learning in a Flipped Classroom by Emine Cabı, Hacer Türkoğlu

“…Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students’ academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. …”
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Breast cancer classification using breast ultrasound images with a hybrid of transfer learning and Bayesian-optimized fast learning network by Emmanuel Ahishakiye, Fredrick Kanobe

“…In light of the limitation on the conventional interpretation of images, this study presents a novel hybrid model that integrates DenseNet201-based transfer learning with a Bayesian-Optimized Fast Learning Network (FLN) for breast cancer classification from ultrasound images. …”
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The Inherent Shield: Learning-Based Stress Symptoms Among People Diagnosed with Specific Learning Disability and Its Relationship with Dispositional Mindfulness by Nimrod Polak, Ephraim S. Grossman

“…Furthermore, findings revealed that DM significantly predicts LBSS levels. Conclusions: The present study provides further evidence on the impact of learning experiences on stress symptoms among individuals with SLDs, and this phenomenon we have termed as “learning-based stress symptoms”. …”
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A Deep Learning Model for Automatic Citation Document Recommendation in Non-Obviousness Judgment: Using BERT-for-patents and Contrastive Learning by Dongkun Yoo, Jiheon Han

“…An example of applying the TRP-Pat model to prior art search tasks is also presented.…”
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Empirical Evaluation of Deep Learning Techniques for Fish Disease Detection in Aquaculture Systems: A Transfer Learning and Fusion-Based Approach by Subir Biswas, Debendra Muduli, Md Ariful Islam, Anuradha Shantanu Kanade, Abu Taha Zamani, Shantanu Pandurang Kanade, Nikhat Parveen

“…Timely and accurately detecting fish diseases is paramount for effective management and mitigation strategies. This paper presents a novel approach for fish disease detection leveraging transfer learning and ensemble techniques. …”
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The Effect of Audio Visual-Based Inquiry Learning Model on Elementary Student Learning Outcomes in Science and Technology Subjects in Class IV by Nelli Kristina Sianturi, Juliana, Patri Janson Silaban, Bogor Lumbanraja, Nova Florentina Ambarwati

“… The present study discusses the effect of the Audio Visual Media-based Inquiry learning model on the grade IV students' learning outcomes at UPT SD Negeri 068008 Damar Medan Tuntungan District in Medan in the academic year 2023/2024. …”
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Self-rated benefits and knowledge gain from e-learning: the longitudinal use of an online learning experience at an international medical school by Maria G. Zavala-Cerna, Augusto E. Caballero, Steffi Verbeeck-Mendez, Michael J. Parker

“…We found significant increases in self-reported benefit and understanding of topics, as well as significant increases in knowledge gain irrespective of students’ pre-course knowledge levels, as measured by the pre-course quiz. The information presented here could be used to make decisions about the incorporation of e-learning into the medical curriculum.…”
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The Effect of Technology-aided Project-based English Learning on Critical Thinking and Problem Solving as Indices of 21st Century Learning by Parisa Arabloo, Fatemeh Hemmati, Afsar Rouhi, Farzaneh Khodabandeh

“…The present study sought to explore whether the incorporation of the integration of technology and project-based learning into the mainstream English teaching classrooms contributes to the development of critical thinking and problem solving, as two skills essential for 21st century English learning. …”
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Automated Detection of Canine <i>Babesia</i> Parasite in Blood Smear Images Using Deep Learning and Contrastive Learning Techniques by Dilip Kumar Baruah, Kuntala Boruah, Nagendra Nath Barman, Abhijit Deka, Arpita Bharali, Lukumoni Buragohain

“…This research introduces a novel method that integrates both unsupervised and supervised learning, leveraging SimCLR (Simple Framework for Contrastive Learning of Visual Representations) for self-supervised learning along with different pre-trained models to improve microscopic image classification of <i>Babesia</i> parasite in canines. …”
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The Use of Quizwhizzer-Based Learning Media to Increase Class XI Students’ Learning Interest in Economics Subjects at SMAN 1 Mandau by Ulfa Fitriani, Suarman, Mujiono

“… The present study analyzes the differences in students' learning interests before and after using quizwhizzer-based learning media. …”
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Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction by Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied Saied

“…Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. …”
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The Impact of the Learning Learning Strategy on the Acquisition of Mathematical Concepts in Measurement and Evaluation in Students of the Faculty of Education / Ibn Rushd for Human... by Manal Mohammed Ibrahim,  Zhian Yahya Bilal           

“… The present study aimed at : The Impact of the Learning Strategy in the Acquisition of Mathematical Concepts in Measurement and Evaluation in Students of the Faculty of Education / Ibn Rushd for Human Sciences To achieve the research objective, the following zero hypotheses were formulated: 1- There are no statistically significant differences at the level of significance (0.05) between the average score of the students of the experimental group who study according to the strategy of the learning process, and the average score of the students of the control group who study according to the usual method of acquiring mathematical concepts. 2- There are no statistically significant differences at the level of (0,05) between the average of the students of the experimental group who are studying according to the strategy of the learning process and the average score of the students of the control group who study according to the usual method of acquiring mathematical concepts. …”
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TAM-Based Model for Evaluating Learner Satisfaction of E-Learning Services Case Study: E-Learning System of University of Tehran by Sina Sayardoost Tabrizi, Azin Sabzian, Ali Moeini, Keikhosrow Yakideh

“…During the COVID-19 pandemic, universities worldwide favored distance learning systems. Although e-learning provides numerous benefits, it also poses challenges for learners, so learners’ satisfaction is a significant concern to be assessed. …”
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Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations by Zeyuan Hu, Akshay Subramaniam, Zhiming Kuang, Jerry Lin, Sungduk Yu, Walter M. Hannah, Noah D. Brenowitz, Josh Romero, Michael S. Pritchard

“…A promising technique to address this is the multiscale modeling framework (MMF), which embeds a kilometer‐resolution cloud‐resolving model (CRM) within each atmospheric column of a host climate model to replace traditional convection and cloud parameterizations. Machine learning offers a unique opportunity to make MMF more accessible by emulating the embedded CRM and reducing its substantial computational cost. …”
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Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review by Ferial ElRobrini, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Nedaa Al-Tawalbeh, Naureen Akhtar, Filippo Sanfilippo

“…A comprehensive overview of non-Federated Learning-based PV and WP forecasting is presented based on high-quality journals, followed by in-depth discussions on specific non-Federated Learning approaches for each power source. …”
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Experimental investigation of shaft misalignment effects on bearing reliability through vibration signal analysis using machine learning and deep learning by Fransiskus Tatas Dwi Atmaji, Jamasri, Hari Agung Yuniarto, I Made Miasa

“…Six classification models—five machine learning algorithms (Multilayer Perceptron, Random Forest, Decision Tree, K-Nearest Neighbors, and Adaptive Boosting) and one deep learning model (Long Short-Term Memory, LSTM)—were evaluated for classifying four levels of misalignment severity. …”
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