Asynchronous layerwise deep learning with MCMC on low-power devices by Francois M., Gay P., Lebeaud S., Loustau S., Palafox J., Sow F.K., Tirel N.

“…We present a new architecture to learn a light neural network using an asynchronous layerwise bayesian optimization process deployed on low-power devices. …”
Get full text

Ball Bearing Fault Diagnosis Based on Hybrid Adversarial Learning by Xiaofeng Bai, Qazi Mazhar Ul Haq, Aftab Alam Khan, Chaohui Li, Hind Alsharif, Muhammad Shahid Anwar, Chengwei Li

“…Timely detection of these faults is crucial, especially when adversarial perturbations are present, as deep learning-based fault diagnosis models may misclassify these faults. …”
Get full text

Harness AI and machine learning in de-emulsifier chemical selection by Sai Ravindra Panuganti, Nor Hadhirah Halim, Tan Nian Wei, Wasan Saphanuchart, Emad Elsebakhi

“…However, the disadvantage is that these tests are time-consuming. This work presents a faster alternative for choosing de-emulsifier chemicals by using machine learning. …”
Get full text

Unveiling the effects of enjoyment and hope on students’ English learning effort by Honggang Liu, Yuxin Jiang, Hua Nie, Xueheng Zhou

“…To address this gap, the present study employs a quantitative approach to investigate the combined influence of specific dimensions of students’ enjoyment and hope on their effort in learning English. …”
Get full text

Between Surviving and Thriving—New Approaches to Understanding Learning for Transformation by Saskia Eschenbacher

“…Conclusions: Reflective writing serves as an effective tool for processing experiences and developing professional resilience, although the process of engaging with traumatic memories through reflection presents its own complexities. These insights contribute to the understanding of learning processes and professional development in high-stress environments.…”
Get full text

Optimization Strategies in Quantum Machine Learning: A Performance Analysis by Nouf Ali AL Ajmi, Muhammad Shoaib

“…This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. …”
Get full text

Advances in Wearable Sensors for Learning Analytics: Trends, Challenges, and Prospects by Huaqing Hong, Ling Dai, Xiulin Zheng

“…However, the extensive and continuous data streams generated by these sensors create significant challenges for learning analytics. This paper presents a comprehensive review of research on learning analytics incorporating wearable technology, systematically identifying methods and approaches that address wearable sensor data challenges. …”
Get full text

Making Time Series Embeddings More Interpretable in Deep Learning by Leonid Schwenke, Martin Atzmueller

“…This paper tackles this issue, aiming to present some criteria for making time series embeddings applied in deep learning models more interpretable using higher-level features in symbolic form. …”
Get full text

The Implementation of GEDSI in Teaching and Learning Activities at SD Muhammadiyah Malang by Vania Puteri Yuanka, Maharani Putri Kumalasani, Bahrul Ulum

“… The present study evaluates the implementation of GEDSI (Gender, Disability, and Social Inclusion) in teaching and learning activities at SD Muhammadiyah Malang. …”
Get full text

Text Summarization Using Deep Learning Techniques: A Review by Mohmmadali Muzffarali Saiyyad, Nitin N. Patil

“…We have outlined a variety of deep learning procedures with the goals of summarizing texts and analyzing details in order to prepare these methods for possible applications in future research.…”
Get full text

A meta-learning approach for selectivity prediction in asymmetric catalysis by Sukriti Singh, José Miguel Hernández-Lobato

“…However, the need for large amount of experimental data can present a bottleneck for implementing ML models. Here, we propose a meta-learning workflow that can harness the literature-derived data to extract shared reaction features and requires only a few examples to predict the outcome of new reactions. …”
Get full text

A comprehensive survey of robust deep learning in computer vision by Jia Liu, Yaochu Jin

“…Deep learning has presented remarkable progress in various tasks. …”
Get full text

Artificial intelligence in foreign language learning: A bibliometric analysis by Yunus Doğan, Tarık Talan

“…Artificial intelligence [AI] has significant potential in foreign language learning and teaching, and various scientific studies that monitor, investigate, and examine developments in this field have been conducted for many years. …”
Get full text

Blended Learning in the Spotlight of Educational Management - A Scientometric Analysis by Jelena Jardas Antonić, Antonija Srok, Nenad Vretenar

“…In this paper, we conducted a scientometric analysis to provide insights into research trends and present bibliometric indicators of 5810 publications on blended learning to contribute to the knowledge base on the use of ICT in education management, during and after the COVID-19 pandemic, from 2020 to 2023. …”
Get full text

Validating Learning Organization in the Medical Profession: A Preliminary Analysis by Rana Zeeshan Mubarak, Marinah Awanag, Naveed R. Khan, Sadia Mubarak

“… This study investigates the underlying pattern of learning organisation practices among medical doctors using Learning Organization Survey (LOS) designed by Garvin, Edmondson and Gino (2008). …”
Get full text

The topology of molecular representations and its influence on machine learning performance by Florian Rottach, Sebastian Schieferdecker, Carsten Eickhoff

“…In this work, we present TopoLearn, a model that predicts the effectiveness of representations on datasets based on the topological characteristics of the corresponding feature space. …”
Get full text

Lowering reinforcement learning barriers for quadruped locomotion in the task space by Cooke Lauren, Fisher Callen

“…However, DRL presents a steep learning curve and a large barrier to entry for novice researchers. …”
Get full text

Identification of Turmeric Rhizomes Using Image Processing and Machine Learning by Shubhangi Patil, Gouri Patil

Get full text

Self-regulated learning and students with disabilities: a mini review by Seda Aydan, Christoforos Mamas

“…Self-Regulated Learning (SRL) has been extensively cited in research as a process enabling students to develop cognitive, behavioral, and emotional strategies to achieve academic success. …”
Get full text

Deep Learning Method for Classifying Items into Categories for Dutch Auctions by Janusz Bobulski, Sabina Szymoniak

Get full text