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

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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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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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USING E-LEARNING TO PREVENT INFORMATIONAL STRESS OF EMPLOYEES WORKING REMOTELY by Oleksandra Pinchuk, Nataliia I. Pinchuk, Olena I. Bondarchuk, Valentyna V. Balakhtar, Kateryna S. Pavlenok

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Transient State Estimation for Power System Based on Deep Transfer Learning by JIAO Hao, ZHAO Jiawei, WEI Lei, ZHU Weiping, MA Zhoujun, ZANG Haixiang

Subjects: “…power system fault|digital twin|transient state estimation|deep transfer learning|small sample…”
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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

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A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

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ELECTRONIC LEARNING FOR EDUCATIONAL SUSTAINABILITY IN THE PANDEMIC ERA: A CRITICAL REVIEW by HADI BUHARI SHUAYAU, HUSSAINI IBRAHIM SULE

“…It is worth noting that electronic learning, often known as virtual or e-learning, was previously neglected, particularly in underdeveloped nations. …”
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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. …”
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Efficient learning strategies: Student attraction to entrepreneurship lessons using technology by Azmy Ramelan Kurniawan, S. Sistiyani, Zalfa Feyza Qolbi

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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Convolutional Neural Network (CNN) merupakan algoritma deep learning yang memiliki performa bagus dalam klasifikasi citra. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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A Study On The Usage Of M-Learning Applications Within Bulgarian Schools by Bonimir Penchev

Subjects: “…M-learning applications…”
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The Learning Continuum: A Model for Sustained Participation with Hard-to-Serve Clients by Elizabeth B. Bolton

“… This report, The Learning Continuum: A Model for Sustained Participation with Hard-to-Serve Clients, is part of the UF/IFAS Welfare-to-Work Initiative (Grant #A6218) funded by the Florida Agency for Workforce Innovation (formerly Florida Department of Labor and Employment Security). …”
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Integrating IoT data and reinforcement learning for adaptive macroeconomic policy optimization by Cong Peng, Yongshan Zhang, Liheng Jiang

“…To address this, we propose MLD-Net, a framework that combines IoT high-frequency data with economic data through MIDAS regression, LSTM networks for temporal dynamics, and Deep Q-Networks (DQN) for reinforcement learning-based policy optimization. MLD-Net effectively aligns multi-frequency data, captures complex temporal patterns, and adjusts policies in real-time. …”
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Learning to Live Through Loss: When Job Loss Triggers Grief by Carolyn S. Wilken

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AN AUTOMATED SKIN DISEASE DIAGNOSTIC SYSTEM BASED ON DEEP LEARNING MODEL by LAWRENCE OMOTOSHO, KEHINDE SOTONWA, BENJAMIN ADEGOKE, OLUWASHINA OYENIRAN, JOSHUA OYENIYI

Subjects: “…dermatology, artificial intelligence, deep learning, AlexNet…”
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