Potential of CoSpaces Edu Platform as Interactive Learning Media: Student Perspective by Istiana Rizky, Didah Nurhamidah

Subjects: “…CoSpaces Edu, CoSpaces Edu, media, learning, potential…”
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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning by A. A. Ibrahim, O. A. Ayilara-Adewale, A. A. Alabi, D. A. Olusesi

Subjects: “…Prediction system; used car; extra tree regression; random forest regression; machine learning…”
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A Teacher-Learning-Based Optimization Approach for Blur Detection in Defocused Images by Sana Munir Khan, Muhammad Tariq Mahmood

“…In this paper, we propose a parameter-free metaheuristic optimization strategy known as teacher-learning-based optimization (TLBO) to find an optimal weight vector for the combination of blur maps. …”
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A Survey on High-Order Internal Model Based Iterative Learning Control by Miao Yu, Sheng Chai

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Islamic Religious Education Learning Strategies for Inclusion Students at Muhammadiyah High School by Fadhilla Nangroe Anggraini, Triono Ali Mustofa, Abil Fida Muhammad Qois Al Hadi

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Geometrical shape learning as basis for compact microstructure representations and microstructure-properties linkages by Rodrigo Iza Teran, Daniela Steffes-lai, Lukas Morand

Subjects: “…Machine learning…”
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Multiple sclerosis diagnosis with brain MRI retrieval: A deep learning approach by R.M. Haggag, Eman M. Ali, M.E. Khalifa, Mohamed Taha

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Author Correction: Prospective de novo drug design with deep interactome learning by Kenneth Atz, Leandro Cotos, Clemens Isert, Maria Håkansson, Dorota Focht, Mattis Hilleke, David F. Nippa, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Valentina Romeo, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider

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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

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A Qualitative Investigation of WhatsApp Interaction for English Language Grammar Learning by Nagaletchimee Annamalai, Najah Rajeh Alsalhi, Mohd Elmagzoub Eltahir, Bilal Mohammed Zakarneh, Kamariah Yunus, Samer H. Zyoud

“…The reflective writing demonstrated positive learning experiences. The study concluded that WhatsApp has the potential to be a worthwhile platform for English grammar learning if instructors are able to optimize the features offered in an application for effective interactions and collaborative dialogues.…”
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Experiencing a Problem-Based Learning Approach for Teaching Reconfigurable Architecture Design by Erwan Fabiani

“…The practical work sessions of this course rely on active pedagogy using problem-based learning, focused on designing a reconfigurable architecture for the implementation of an application class of image processing algorithms. …”
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Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis by Fernando Moncada Martins, Víctor M González, José R Villar, Beatriz García López, Ana Isabel Gómez-Menéndez

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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning by Yuriya Nakamura, Lei Jing

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Integrating sustainability into cybersecurity: insights from machine learning based topic modeling by Krishnashree Achuthan, Sriram Sankaran, Swapnoneel Roy, Raghu Raman

“…Our unique study investigates the integration of environmental sustainability into cybersecurity practices by identifying six pivotal themes through a textual analysis of related publications via machine learning based topic modeling. These themes highlight the convergence of cybersecurity with sustainable development goals (SDGs), particularly SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 8 (Decent Work and Economic Growth). …”
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EFL learners’ perception of the project-based learning method in extensive reading course by Harini

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Pedestrian Motion Path Detection Method Based on Deep Learning and Foreground Detection by Meiman Li, Wenfu Xie

“…For the surveillance video images captured by monocular camera, this paper proposes a method combining foreground detection and deep learning to detect moving pedestrians, making full use of the invariable background of video image. …”
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Bebras: A Social Approach for Concept Based Learning of Informatics and Computational Thinking by Filiz Kalelioğlu, Dilek Doğan, Erinç Karataş, Yasemin Gülbahar

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Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning by Jonathan Axel Cruz-Vazquez, Jesús Yaljá Montiel-Pérez, Rodolfo Romero-Herrera, Elsa Rubio-Espino

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