Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision by Min Wang, Yanwen Zhang, Huiping Ye

“…A dynamic learning method is developed for an uncertain n-link robot with unknown system dynamics, achieving predefined performance attributes on the link angular position and velocity tracking errors. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

“…This paper presents a novel approach using machine learning techniques to detect seizures onset using intracranial electroencephalography (EEG) signals. …”
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The Gyroscopic Classroom: Creating Equilibrium in a Virtual Learning Environment (Youth First Aid Case Study)

Subjects: “…virtual learning…”
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Gazi N. Ahmed, Lopamudra Kakoti, Manob Jyoti Saikia

“…To address these limitations, we propose OralTILs-ViT, a novel joint representation learning framework that integrates cellular and tissue-level information. …”
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Fuel distribution controller for ARFF trainer with BACAK BAE: enhancing practical learning in aircraft firefighting operations by Anton Abdullah, Yeti Komalasari, I Gusti Ayu Mas Oka, Muhammad Kristiawan, Direstu Amalia

“…The revamped system simplifies operations and provides a cost-effective, user-friendly learning experience. This achievement, verified by experts and users, holds significant promise for aircraft firefighting training and education…”
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A New, Easy-to-Learn, Fear-Free Method to Stop Purring During Cardiac Auscultation in Cats by Tessa Vliegenthart, Viktor Szatmári

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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

Subjects: “…Generalized zero-shot learning…”
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ORGANIZATION OF STUDENTS’ SELF-GUIDED WORK IN BIOMEDICAL DEPARTMENTS OF MEDICAL UNIVERSITY USING DISTANT LEARNING TECHNOLOGY by Eduard F. Barinov, Raisa V. Basiy, Olga P. Shatova

Subjects: “…distance learning technologies…”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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The distance learning impact on the quality of the educational process (according to the study results conducted at the State University of Management) by I. K. Shcherbakova

Subjects: “…offline learning…”
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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

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Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study by Ruqiang Yan, Zheng Zhou, Zuogang Shang, Zhiying Wang, Chenye Hu, Yasong Li, Yuangui Yang, Xuefeng Chen, Robert X. Gao

Subjects: “…Knowledge driven machine learning…”
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Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

“…Finally, the data samples collected from numerical outcomes were utilized to train four different machine learning models, namely multi-variable linear regression, polynomial regression, the random forest regressor and the K-nearest neighbor regressor. …”
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Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation by Hua Xie, Minghua Zhang, Jiaming Ge, Xinfang Dong, Haiyan Chen

“…Motivated by the applications of deep learning network, the specific CNN model is introduced to automatically extract high-level traffic features from MTSIs and learn the SOC pattern. …”
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Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage by Xingcheng Wang, Ji Zhang, Xingshuai Ma, Huajie Luo, Laijun Liu, Hui Liu, Jun Chen

“…Herein, with the assistance of machine learning screening, we demonstrated a high energy-storage density of 20.7 J cm-3 with a high efficiency of 86% in a high-entropy Pb-free relaxor ceramic. …”
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An Educational Approach to Higgs Boson Hunting Using Machine Learning Classification Algorithms on ATLAS Open Data by Ayşe Bat

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Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning by Jianhui Chen, Qun Li, Xiaofang Liu, Fang Lin, Yaling Jing, Jiayan Yang, Lianfang Zhao

“…Protein-protein interaction (PPI) network and two machine learning algorithms were applied to identify the common core genes in both diseases. …”
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The Reflections of the “Stop Climate Change Digital Game” on Primary School Students' Learning about Climate Change by Sahin Idil, Orkun Kocak

“…It was determined that the students enjoyed this game, called Stop Climate Change; they had fun and simultaneously learned about concepts related to climate change. …”
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Decoding Success: The Role of E-Learning Readiness in Linking Technological Skills and Employability in Hospitality Management Graduates by Ibrahim A. Elshaer, Alaa M. S. Azazz, Abuelkassem A. A. Mohammad, Sameh Fayyad

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