Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration by Zhifang Qian

“…In order to meet the personalized needs of different students and provide students with a variety of intelligent learning strategies and learning content, this research is aimed at the current lack of intelligent function design in the network teaching platform of colleges and universities. …”
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Comparison of Parenting Stress and Locus of Control in Parents of Children with and without Specific Learning Disorder by Seyed Omid Sotoudeh Navroodi, Mojgan Sotuodeh Navroodi

Subjects: “…parents of children with specific learning disorder…”
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Visualization of multidimensional data taking into account the learning flow of the self organizing neural network by Gintautas Dzemyda, Olga Kurasova

“… In the paper we discuss the visualization of multidimensional vectors taking into account the learning flow of the self organizing neural network. …”
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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…These approaches should be applied in all works using machine learning to produce fishing effort maps.…”
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Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts by Lin Zhu, Zhihua Zhang, M. James C. Crabbe

Subjects: “…Optimization coupling learning…”
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Application of project-based learning method in Entrepreneurship education (PKWU) subjects of Labschool UPI by Dzakira Syawalia, Amanda Febrilyanti Suryana Putri, Razka Raditya Fahmi, Dimas Saputra

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Iterative Learning Consensus Control for Nonlinear Partial Difference Multiagent Systems with Time Delay by Cun Wang, Xisheng Dai, Kene Li, Zupeng Zhou

“…When the iterative learning number k approaches infinity, the consensus error in the sense of the L2 norm between all agents in the system will converge to zero. …”
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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

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Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…This paper provides a comprehensive review of character recognition technologies, focusing on the application of Convolutional Neural Networks (CNN) and deep learning methodologies. Through an analysis of three key studies, the research highlights the strengths and limitations of current approaches. …”
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Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis by Xiao-Lei Li, Aibibanmu Aizezi, Yan-Peng Li, Yan-Hong Li, Fen Liu, Qian Zhao, Xiang Ma, Dilare Adi, Yi-Tong Ma

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Author Correction: An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients by Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath

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Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

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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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