Arabic Speaking Skill Learning Using Word Chain Game in Madrasah by Sri Wahyuni, Mahyudin Ritonga, Reni Fitriani, Hendri Pitrianto, Zalika Adam

“…Learning outcomes are getting better, but fluency and memorization of vocabulary cannot be improved using the word chain game. …”
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Dual Generative Network with Discriminative Information for Generalized Zero-Shot Learning by Tingting Xu, Ye Zhao, Xueliang Liu

“…Nowadays, with the promotion of deep learning technology, the performance of zero-shot learning has been greatly improved. …”
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Research on professional learning margin of university information security teachers in China by Yuan MENG, Pei-qun WU

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Online english learning: main problems and some ways to solve them by Amalia L. Kuregyan, Ekaterina A. Pertsevaya

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Deep learning for stage prediction in neuroblastoma using gene expression data by Aron Park, Seungyoon Nam

Subjects: “…deep learning…”
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Becoming a Learning Organization Through Dynamic Business Process Management by Marek Szelągowski

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Convergence of evolving artificial intelligence and machine learning techniques in precision oncology by Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou

“…Abstract The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with cancer. …”
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Implementation of the Drill Method in Arabic Language Learning at the Elementary Madrasah of the Ummusshabri by Ahmad Futunul Fikri, Khofifah Khofifah, Fauziah Fauziah, Akhbar Susilo

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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

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The influence of social media applications on learning English as a second language by Fatma Dashti, Hanady M. Abdulsalam

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Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning by Yawen Liu, Haijun Niu, Jianming Zhu, Pengfei Zhao, Hongxia Yin, Heyu Ding, Shusheng Gong, Zhenghan Yang, Han Lv, Zhenchang Wang

“…The objective of this study was to explore the cortical/subcortical morphological neuroimaging biomarkers that may characterize idiopathic tinnitus using machine learning methods. Forty-six patients with idiopathic tinnitus and fifty-six healthy subjects were included in this study. …”
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Design and Validation of the Flipped‐Learning Assessment Scale for Undergraduate Nursing Education by Fernando Urcola‐Pardo, Ana Belen Subiron‐Valera, Isabel Anton‐Solanas, Aintzane Orkaizagirre‐Gomara, Dolores Torres‐Enamorado, Juan Diego Gonzalez‐Sanz

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The technology of formation of teamwork skills in terms of project-based learning students by Svetlana D. Lipatova, Evgeniya A. Khokholeva

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THE CHALLENGE OF ONLINE LANGUAGE LEARNING AND TEACHING: INCLUSIVE CONTENT AND MOTIVATION ENHANCEMENT by MA Liisa Wallenius, Ieva Brazauskaite-Zubaviciene

Subjects: “…students’ learning autonomy…”
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Editorial: Integrating machine learning with physics-based modeling of physiological systems by Jae H. Lee, Hao Gao, Michael Döllinger

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Defect modeling in semiconductors: the role of first principles simulations and machine learning by Md Habibur Rahman, Arun Mannodi-Kanakkithodi

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SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT by Donatas Sandonavičius, Aušra Gadeikytė, Giedrius Paulikas, Mindaugas Vaitkūnas, Gytis Vilutis, Gintaras Butkus

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Towards automated recipe genre classification using semi-supervised learning. by Nazmus Sakib, G M Shahariar, Md Mohsinul Kabir, Md Kamrul Hasan, Hasan Mahmud

“…Furthermore, we have demonstrated traditional machine learning, deep learning and pre-trained language models to classify the recipes into their corresponding genre and achieved an overall accuracy of 98.6%. …”
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The Impact of GPT Models on Education: Enhancing Learning Outcomes and Addressing Challenges by Yang Nuoya

“…The research delves into how GPT can drive personalized learning experiences, automate routine administrative tasks, and provide immediate, adaptive feedback to students. …”
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Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

“…With view on the context of convex thermomechanics, we propose tools based on the concept of Bregman divergence, a notion introduced in the 1960s and used in learning and optimization as well. This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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