Insights into simulation-based learning: student and faculty experiences in a PharmD program in Saudi Arabia by Reem Binsuwaidan, Najla A. Altwaijry, Alnada A. Ibrahim, Rawan A. Alghamdi, Razan Bin Humaid, Alaa A. AlSharif, Alaa A. AlHubaishi, Elshaymaa I. Elmongy, Lina I. Alnajjar, Ghadah H. Alshehri

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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

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Digital technologies in music education. Using Digital Audio Workstations (DAW) with Project-Based Learning (PBL) by María Elena Cuenca-Rodríguez, Ignacio Pascual-Moltó, Raquel Pastor-Prada

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Profundización del profesorado español en flipped learning según el nivel de competencia digital by Jesús LÓPEZ BELMONTE, Santiago POZO SÁNCHEZ, Santiago ALONSO GARCÍA

“…Se concluye que la proyección del flipped learning aún no es determinante pues la cifra de docentes que utilizan tales recursos como explicación en medios digitales no es significativa.…”
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A Novel MoCo-Based Self-Supervised Learning Framework for Solar Panel Defect Detection by Jun Huang, Shamsul Arrieya Ariffin, Yongqiang Chen, Jinghui Lin, Wanting Xu

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Metode Deteksi Intrusi Menggunakan Algoritme Extreme Learning Machine dengan Correlation-based Feature Selection by Sulandri Sulandri, Achmad Basuki, Fitra Abdurrachman Bachtiar

“…The method used to do intrusion detection by classification is using the Extreme Learning Machine (ELM) method. However, using the ELM method alone is not able to produce good accuracy, so the ELM method needs to be added to the Correlation-Based Feature Selection (CFS) feature selection method to improve the accuracy and computational time. …”
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Decoding Consumer Behavior in the Used Car Market: A Machine Learning Approach to Key Decision Factors by Zhang Minshun

“…The focus is on how online and offline trading platforms affect purchasing behavior. Using machine learning techniques, the paper compares multiple models to predict key purchase factors and visualize the data through various graphs. …”
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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

“…This paper uses data analysis to extract knowledge from locally available measurements using RMS values of symmetrical components. The learning-based characteristic of the suggested technique with a low computational burden exempts the need for an available communication infrastructure in the MG. …”
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Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning by Florian Baletaud, Florian Baletaud, Florian Baletaud, Sébastien Villon, Antoine Gilbert, Jean-Marie Côme, Sylvie Fiat, Corina Iovan, Laurent Vigliola

“…To address this issue, we used a Region-based Convolutional Neural Network (Faster R-CNN), a deep learning architecture to automatically detect, identify and count deep-water snappers in BRUVS. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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Building Creative Capacity Building in University Graduates: What we can learn from boids and voids by McWilliam Erica

“…Given that the challenge of setting up a learning environment that fosters such a complex mix of relational dynamics is not a simple matter of ensuring that people feel good about themselves, the paper canvasses two areas of research that can be usefully bought together to provide principles on which to build learning environment for ‘high flying’ creatives.…”
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Learnings from COVID-19 Forced Lockdown on Regional Air Quality and Mitigation Potential for South Asia by Abhishek Upadhyay, Parth Sarathi Mahapatra, Praveen Kumar Singh, Sishir Dahal, Suresh Pokhrel, Amit Bhujel, Indu Bikram Joshi, Shankar Prasad Paudel, Siva Praveen Puppala, Bhupesh Adhikary

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Enhanced crayfish optimization algorithm: Orthogonal refracted opposition-based learning for robotic arm trajectory planning. by Yuefeng Leng, Chunlai Cui, Zhichao Jiang

“…Furthermore, an orthogonal refracted opposition-based learning strategy enhances solution quality and search efficiency by leveraging the dominant dimensional information. …”
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THE ANALYSIS OF INFORMATION TECHNOLOGIES USAGE FOR ACADEMIC PURPOSES IN ENGLISH LANGUAGE TEACHING AND LEARNING AT UNIVERSITAS BANGKA BELITUNG by Herland Franley Manalu

Subjects: “…Language Teaching and Learning…”
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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs by Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang

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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

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PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING TERHADAP HASIL BELAJAR SISWA DI KELAS X by Desi Paradina, Connie Connie, Rosane Medriati

“…Keywords: Problem Based Learning Model, Learning Outcomes …”
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Faktor-faktor yang Memengaruhi Kesuksesan E-Learning dengan Model UTAUT di Kementerian Keuangan by Bambang Sancoko, Hasan Ashari

“…Perkembangan teknologi informasi mengakibatkan perubahan pola pengembangan sumber daya manusia (SDM) dimana sekarang berkembang penggunaan metode e-learning.  Tujuan penelitian untuk mengidentifikasi faktor-faktor penting yang memengaruhi kesuksesan penyelenggaraan e-learning dengan Model UTAUT di Kementerian Keuangan. …”
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PENGARUH MODEL QUANTUM LEARNING TERHADAP PEMAHAMAN KONSEP DAN HASIL BELAJAR SISWA KELAS X by Anisa Anisa, Rosane Medriati, Desy Hanisa Putri

“…Keywords: Quantum Learning, Understanding of Concepts, Learning Outcomes …”
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The Role of Technology-enhanced Learning (TEL) and eSkills in Higher Education: Challenges, Opportunities, and Future Directions by Israel Creleanor Mulaudzi

Subjects: “…technology-enhanced learning…”
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