Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

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Being here, being there: Investigating cognitive and attentional mechanisms of breaks in presence using psychophysiological and reaction time measures by Elisabeth Holl, Kerstin Huber, Daniel Pietschmann, Benny Liebold

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Leveraging generative AI for course learning outcome categorization using Bloom's taxonomy by Omaima Almatrafi, Aditya Johri

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Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance by Tongguang Li, Lixiang Yan, Sehrish Iqbal, Namrata Srivastava, Shaveen Singh, Mladen Raković, Zachari Swiecki, Yi-Shan Tsai, Dragan Gašević, Yizhou Fan, Xinyu Li

“…Self-regulated learning (SRL) encapsulates learners' abilities to control, monitor, and regulate cognitive and metacognitive processes such as motivation, emotion, and learning strategies. …”
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Self-sovereign management scheme of personal health record with personal data store and decentralized identifier by Tong Min Kim, Taehoon Ko, Byoung Woo Hwang, Hyung Goo Paek, Wan Yeon Lee

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Development of a Predictive Model for the Biological Activity of Food and Microbial Metabolites Toward Estrogen Receptor Alpha (ERα) Using Machine Learning by Maksim Kuznetsov, Olga Chernyavskaya, Mikhail Kutuzov, Daria Vilkova, Olga Novichenko, Alla Stolyarova, Dmitry Mashin, Igor Nikitin

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Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization by Quan Gan, Qi-Wei Ge, Chuanxia Liu, Zhaoman Zhong, Jiaying Wu, Lei Shi, Jin Xu, Chen Li

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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…Nonetheless, the complexity of Type-2 fuzzy models can produce overwhelming rules, compromising interpretability and computational efficiency. We present a Self-Learning Type-2 Fuzzy System with adaptive rule reduction that optimizes the rule base as forecast accuracy begins to deteriorate after adaptation. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…Blink detection is a highly concerned research direction in the field of computer vision, which plays a key role in various application scenes such as human-computer interaction, fatigue detection and emotion perception. …”
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A novel brain tumor magnetic resonance imaging dataset (Gazi Brains 2020): initial benchmark results and comprehensive analysis by Seref Sagiroglu, Ramazan Terzi, Emrah Celtikci, Alp Özgün Börcek, Yilmaz Atay, Bilgehan Arslan, Mustafa Caglar Sahin, Kerem Nernekli, Umut Demirezen, Okan Bilge Ozdemir, Kevser Özdem Karaca, Nuh Azgınoğlu

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Ground Penetrating Radar for Monitoring Damage in Reinforced Concrete Bridges: A Reliable Tool for Structural Health Assessment by Olumuyiwa Falowo, Victor Oluwasegunfunmi, Ajiboye Babatunde, Olabisi Kunle

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Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates by Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster

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Transnational learning and teaching activities: Smart Healthcare Engineering by Luis Fernando Talavera Martin, Ioan Fatu, Julia Mirza-Rosca, Mircea Horia Tierean

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Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding by Dheya Mustafa, Safaa M. Khabour, Mousa Al-kfairy, Ahmed Shatnawi

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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…Traditional models show better results and efficiency in processing short, concise text, with SVM in classifying sentiment of short length comments. …”
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Augmented Reality in Enhancing Operating Room Crisis Checklist Adherence: Randomized Comparative Efficacy Study by Rayan Ebnali Harari, Abdullah Altaweel, Erik Anderson, Charles Pozner, Rafael Grossmann, Andrew Goldsmith, Hamid Shokoohi

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Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective by Israe Abdellaoui, Anass Ibrahimi, Mohamed Amine El Bouni, Asmaa Mourhir, Saad Driouech, Mohamed Aghzal

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Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving by Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash

“…Because of their post-manufacturing adaptability, parallel processing capabilities, and reconfigurability, field programmable gate arrays (FPGAs) are used to execute reinforcement learning in real-time. …”
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Time flies when you're having flow: An experiment on time perception and challenge in a VR gameOSF by Jeroen S. Lemmens, Fay E. Clark, Xingjia Lyu, Alex Taylor

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Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait by Anam Naz, Hikmat Ullah Khan, Tariq Alsahfi, Mousa Alhajlah, Bader Alshemaimri, Ali Daud

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