Hybrid deep learning architecture for scalable and high-quality image compression by Mustafa Al-Khafaji, Nehad T. A. Ramaha

“…Abstract The rapid growth of medical imaging data presents challenges for efficient storage and transmission, particularly in clinical and telemedicine applications where image fidelity is crucial. …”
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Coping with English Learning and Teaching Challenges in a Public Primary School by Mireya Esther Castañeda Usaquen

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Learning tensor networks with tensor cross interpolation: New algorithms and libraries by Yuriel Núñez Fernández, Marc K. Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, Olivier Parcollet, Jan von Delft, Hiroshi Shinaoka, Xavier Waintal

“…The tensor cross interpolation (TCI) algorithm is a rank-revealing algorithm for decomposing low-rank, high-dimensional tensors into tensor trains/matrix product states (MPS). TCI learns a compact MPS representation of the entire object from a tiny training data set. …”
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A Machine Learning Based Early Diagnosis System for Mesothelioma Disease by Nagihan Çekiç, Zehra Karapınar Şentürk

“…The results show the diagnostic performance of different machine learning methods and present a successful early diagnosis system.…”
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A deep learning based approach for classifying the maturity of cashew apples. by Moritz Winklmair, Robert Sekulic, Jonas Kraus, Pascal Penava, Ricardo Buettner

“…In this study, a Deep Learning based image classification model is presented, which can be used to automatically identify mature cashew apples. …”
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Accurate segmentation of localized corrosion in structural alloys via deep learning by Liang Zhao, Jenifer Locke, Fei Xu, Tiankai Yao, Xiaolei Guo

“…Abstract This study presents a deep learning-based approach for the automated segmentation of corrosion damage in scanning electron microscopy (SEM) images. …”
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Federated Learning in Dynamic and Heterogeneous Environments: Advantages, Performances, and Privacy Problems by Fabio Liberti, Davide Berardi, Barbara Martini

“…This work explores advanced techniques for dynamic model adaptation and heterogeneous data management in edge computing scenarios, proposing innovative solutions to improve the robustness and efficiency of federated learning. We present an innovative solution based on Kubernetes which enables the fast application of FL models to Heterogeneous Architectures. …”
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Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques by Rajesh Manicavasaga, Prabin B Lamichhane, Prajjwal Kandel, Douglas A. Talbert

“…Through drug repurposing, we can identify promising drugs for further clinical investigations. This paper presents machine learning techniques for drug repurposing to find existing drugs as an alternate medication for other diseases through drug-drug, drug-genes, drug-enzymes, and drug-targets interactions. …”
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Later-Life Learning and Older Women Learners: A Feminist Commentary by Marvin Formosa

“…This exclusion is surprising considering that older women make up the majority of learners in later-life learning programmes. This essay has three objectives: to present the available knowledge on older women and learning given that this information remains undocumented; to apply a feminist critique to the mainstream literature on older adult learning, with a special reference to the University of the Third Age (U3A) and Women's Institutes (WI); and to promote an understanding of the similarities and diversities of older women by highlighting the significance of socially diverse factors such as class, ethnicity, and age in shaping their learning experiences or lack thereof. …”
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Exploring Kampung Inggris Pare: Indonesia's Foremost English Learning Hub by Ruminda Ruminda, Widiati Isana

“…The role of Kampung English Pare in helping many foreign language learners, especially English learners, from 1977 up to present, has attracted the attention of the researchers to find out more about the learning methods used. …”
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Multimedia Glosses and Their Effect on L2 Text Comprehension and Vocabulary Learning by Iñigo Yanguas

“…The present study investigates the effects that different types of multimedia glosses, namely textual, pictorial, and textual + pictorial, have on text comprehension and vocabulary learning when the goal is exclusively comprehension of a computerized text. …”
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Rewiring andragogy: the teaching-learning-evaluation (T-L-E) hackathon blueprint by Sophia Gaikwad, Ashwini Wadegaonkar, Fadi K. Dib

“…This paper explores how a hackathon-based approach can enhance the application of andragogical principles and how higher education institutions can implement a teacher-focused initiative, the Teaching-Learning-Evaluation (T-L-E) Hackathon, to promote problem-solving, collaboration, and the design of innovative interventions in teaching, learning, and evaluation. …”
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Real-Time Fire Object Detection System Using Machine Learning by Akuthota Venkata Bhargavi., Syed Khadar Basha., Ramineni Dhanush., Guduru Vikram.

“…The spread of forest fires presents one of the major concerning ecosystems, human security, and property. …”
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Incorporating multimedia learning into music teacher training program in rural Fujian by Yan Luo, Yaoping Liu, Wannaporn Siripala, Noppavan Namtubtim, Yi Shen

“…IntroductionPrevious research has primarily focused on urban settings or general teacher education, often overlooking the unique challenges and opportunities present in rural contexts.MethodsA mixed-method approach was employed, involving 46 music teachers in the teacher training program as the experimental group and 30 music teachers as the control group. …”
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Tumor segmentation in whole-slide histology images using deep learning by V. A. Kovalev, V. A. Liauchuk, A. A. Kalinovski, M. V. Fridman

“…The paper addresses the problem of segmentation of malignant tumors in large whole-slide histology images in the context of computer-assisted diagnosis of breast cancer. The method presented in this study is based on image classification procedure of norm/tumor type. …”
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Machine learning empowered coherent Raman imaging and analysis for biomedical applications by Yihui Zhou, Xiaobin Tang, Delong Zhang, Hyeon Jeong Lee

“…Here, we present a comprehensive review of the latest advancements in the application of machine learning in the molecular spectroscopic imaging fields. …”
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Deepening Mathematical Understanding Using Visualization and Interactive Learning for Deaf Students by Stefanie Amiruzzaman, Md Amiruzzaman, Heena Begum, Deepshikha Bhati, Tsung Heng Wu

“…Combining these two techniques (i.e., visualization and interactive learning), we present an interactive number line (INL) tool to help DHH students understand mathematical concepts such as mean, median, mode, and range. …”
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Machine Learning Meets Communication Networks: Current Trends and Future Challenges by Ijaz Ahmad, Shariar Shahabuddin, Hassan Malik, Erkki Harjula, Teemu Leppanen, Lauri Loven, Antti Anttonen, Ali Hassan Sodhro, Muhammad Mahtab Alam, Markku Juntti, Antti Yla-Jaaski, Thilo Sauter, Andrei Gurtov, Mika Ylianttila, Jukka Riekki

“…Important future research challenges are identified and presented to help stir further research in key areas in this direction.…”
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Noise-Aware UAV Path Planning in Urban Environment with Reinforcement Learning by Shahin Sarhan, Marco Rinaldi, Stefano Primatesta, Giorgio Guglieri

“…This research presents a comprehensive approach for mitigating noise pollution from Unmanned Aerial Vehicles (UAVs) in urban environment by using Reinforcement Learning (RL) for flight path planning. …”
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A Comparative Study of Machine Learning Methods for Pyrolysis Yield Prediction by Seyed Mohammad Razavi, Rahmat Sotudeh Gharebagh, Navid Mostoufi, Jamal Chaouki, K.D.P. Nigam

“…This paper presents a machine learning-based approach for accurately predicting pyrolysis product yields. …”
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