From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“…To address this, extensive research has been conducted, leading to the development of effective techniques and algorithms for different types of CSPs, ranging from exhaustive search methods, which explore the entire search space, to modern techniques that use deep learning to learn how to solve CSPs. This paper represents a descriptive and synthetic overview of various CSPs solving methods, organized by approach: systematic search methods, inference and filtering methods, structural decomposition methods, local search-based methods, and deep learning-based methods. …”
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Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan by Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro

“…Implementasi Machine Learning untuk deteksi cyberbullying dapat dilakukan dengan berbagai algoritma, seperti algoritma probabilistik (Naïve Bayes) maupun supervised learning (Support Vector Machine, k-Nearest Neighbour, Decission Tree), dan metode lainnya yang hingga saat ini terus dikembangkan dengan berbagai pendekatan untuk meningkatkan akurasi deteksi cyberbullying atau non-cyberbullying. …”
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Scientific inquiry in the learning of natural sciences for social skills in students and process management for health by Víctor Mario Culqui Rojas, Nathalie Parra Gálvez, Gladys Espinoza Vásquez, Violeta Leonor Romero-Carrión, Luz Antonia Barreto Espinoza, Luz Karen Flores Pérez

“…<br /><strong>Results:</strong> the educational institution lacks a solid corporate image, without promoting digital competencies and social skills of teachers. 76 % of those surveyed rated the social skills for learning in the services offered to the user dimension with a medium level, 14 % low and 10 % high. 55 % rated process management for user health at a medium level, 8 % low and 10 % high. …”
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Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design by Tianchen Zhou, Yutaka Yakuwa, Natsuki Okamura, Hiroyuki Hochigai, Takayuki Kuroda, Ikuko Eguchi Yairi

Subjects: “…Machine learning…”
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The role and function of the Musi Rawas learning activities center as a non-formal unit by Hartoyo Hartoyo, Sudarwan Danim, Muhammad Kristiawan

Subjects: “…learning activities center…”
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Standards and Practices: A Reflection on Programming for Skill Learning and Evaluation in the First Aid Classroom

Subjects: “…learning…”
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A deep learning‐based attack on text CAPTCHAs by using object detection techniques by Jiawei Nian, Ping Wang, Haichang Gao, Xiaoyan Guo

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Enhancing learning in business development education through a method for engineering of digital innovation by Murad Huseynli, Udo Bub

“…The approach provides students with a structured framework to navigate through the innovation process. It enhances the learning experience and bridges theory with practical application. …”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

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EXPLORATORY LEARNING AND EMPLOYEE JOB PERFORMANCE: A STUDY IN VIETNAMESE HIGHER EDUCATION SETTING by Trần Hà Minh Quân, Nguyễn Thị Nguyệt Quế

“…This paper aims to examine the effects of exploratory learning and risk taking on individual employee performance. …”
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Machine learning-based detection, identification and restoration method of jamming attacks in optical networks by Xiaoxue GONG, Jiahao PANG, Qihan ZHANG, Changle XU, Wenshuai QIN, Lei GUO

Subjects: “…machine learning…”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

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A Deep Curriculum Learning Semi-Supervised Framework for Remote Sensing Scene Classification by Qing Zhang, Jialu Chen, Baohua Yuan

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Dynamic task scheduling method for relay satellite networks based on hierarchical reinforcement learning by Runzi LIU, Tianci MA, Weihua WU, Chenhong YAO, Qinghai YANG

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IALight: Importance-Aware Multi-Agent Reinforcement Learning for Arterial Traffic Cooperative Control by Lu WEI, Xiaoyan ZHANG, Lijun FAN, Lei GAO, Jian YANG

Subjects: “…multi-agent reinforcement learning…”
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Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques by Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi

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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Santonocito, Dario Milone

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Exploring the effects of elaborated and motivational feedback on learning engagement in online scripted role discussion by Qinna Feng, Wenhao Li, Xueping Zhu, Xiuhan Li

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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

Subjects: “…Machine Learning…”
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