Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm by Aida Ghorbani, Amir Daneshvar, Ladan Riazi, Reza Radfar

“…It is challenging to choose the best machine learning approach to address the recommender system issue since there are several strategies with various benefits and drawbacks. …”
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Analysis and Prediction of the Interval Duration between the First and Second Accidents considering the Spatiotemporal Threshold by Fang Liu, Lanlan Zheng, Mingyang Li, Jinjun Tang

“…Finally, the random forest model (RF), which combines the advantages of machine learning methods, is employed to predict the duration of the interval. …”
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An Ultrasound-Assisted Technique to Fix the Avulsion Fracture of the Posterior Tibial Spine by Gautam Kumar, Biju Jacob, Jefin Jose Edakalathur, Lazar J. Chandy, Rajesh Simon

“…The arthroscopic methods have a steep learning curve, and fracture fixation is usually with fibre wire. …”
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Pre-service teachers’ experiences of schooling: Implications for preparation for inclusive education by Lee Rusznyak, Elizabeth Walton, Jacqueline Kenny

“…In this article, we present an analysis of the extent to which pre-service teachers’ personal experiences within the schooling system influenced their perceptions about the benefits and drawbacks of 2 common organisational arrangements made for learners who experience barriers to learning. An analysis of empirical data from a questionnaire and individual interviews suggests that participants who had personally observed or experienced particular arrangements were more likely to hold fixed views about their potential benefits or drawbacks. …”
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Rethinking the integration of ICT in education: Towards a communication model to promote sustainable development by Machkour Mounia, Lamalif Latifa, Faris Sophia, Mansouri Khalifa, Akef Fatiha

“…The study aims to identify the most effective communication strategies for better integrating ICT into the learning process. Since communication fosters the exchange of ideas on innovative pedagogical practices. …”
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A Detection Method Against Load Redistribution Attacks in the Interdependence of the Natural Gas Network and Power System Based on Entropy by Yaoying Wang

“…Instead of relying on deep learning algorithms, this study leverages entropy-based techniques for attack detection. …”
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Block Compressed Sensing of Images Using Adaptive Granular Reconstruction by Ran Li, Hongbing Liu, Yu Zeng, Yanling Li

“…Then, we perform the PCA to learn the sparse representation basis corresponding to each granule. …”
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Prioritizing information over grammar: a behavioral investigation of information density and rhetorical discourse effects on EFL listening comprehension by Mohamed A. Mekheimer, A. I. Fageeh

“…The results highlight the role of information density in L2 listening comprehension and suggest that language learning materials should prioritize informative discourse to facilitate more efficient and effective processing.…”
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MODEL PENDIDIKAN KHULAFAUR RASYIDUN DAN IMPELEMENTASINYA BAGI PENDIDIKAN ISLAM DI INDONESIA by Riptono Riptono, Syamsul Bakri, Yusup Rohmadi

“…The Khulafaur Raysidun, consisting of four friends, namely Abu Bakar, Umar Ibn Khatam, Uthman Ibn Affan, and Ali bin Abi Talib provided different models or types of learning, but the essence of the teachings was taken from the Koran and the Sunnah of the Prophet. …”
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Synaptic Plasticity and Excitation-Inhibition Balance in the Dentate Gyrus: Insights from In Vivo Recordings in Neuroligin-1, Neuroligin-2, and Collybistin Knockouts by Peter Jedlicka, Julia Muellerleile, Stephan W. Schwarzacher

“…The hippocampal dentate gyrus plays a role in spatial learning and memory and is thought to encode differences between similar environments. …”
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AI-Driven Signal Processing for SF6 Circuit Breaker Performance Optimization by Philippe A. V. D. Liz, Giovani B. Vitor, Ricardo T. Lima, Aurélio L. M. Coelho, Eben P. Silveira

“…Thus, the proposed modeling considers the signal preprocessing steps for feature extraction, the generation of the dataset for model training, the use of different machine learning techniques to automatically find the desired points, and, finally, the identification of the best moments for controlled switching of the circuit breakers. …”
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Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer by Lianbo Ma, Kunyuan Hu, Yunlong Zhu, Ben Niu, Hanning Chen, Maowei He

“…At the same time, the comprehensive learning method with crossover and mutation operator is applied to enhance the global search ability between species. …”
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Developing reinforcement of character education by implementing religious nationalism values by Agus Syakroni, Punaji Setyosari, Nurul Murtadho, Sulthoni Sulthoni

“…The realization of education and religious character towards strengthening the values of nationalism can be implemented through four strategies, namely an integrated learning strategy between subjects carried out by teachers in the classroom, parental engagement strategy, school collaboration with society for strengthening the values of religious nationalism and their daily positive behavior through extracurricular activities and a partnership education strategy by involving agencies. government, private sector, religious leaders, and community leaders.…”
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Investigating preservice secondary mathematics teachers' skills in posing realistic mathematics tasks by Veronika Fitri Rianasari, Angela Fatima H. Guzon

“…As the context of the participants, they did not have learning experiences in designing realistic mathematics tasks. …”
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis by Zhicheng Qiao, Yongqiang Liu, Yingying Liao

“…The classification prediction ability of SVM is also better than that of K-nearest neighbor (KNN) and extreme learning machine (ELM).…”
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The Impact of Work Environment and Teacher Attributes on Teacher Job Satisfaction by Hsiang-Wei Ker, Ying-Haur Lee, Shu-Meei Ho

“… Background/purpose – Teachers play a critical role in student learning processes and in their academic success, and as such their job satisfaction directly impacts upon their teaching efficacy and lecture quality. …”
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Optimization of Music Feature Recognition System for Internet of Things Environment Based on Dynamic Time Regularization Algorithm by Hong Kai

“…The results of this study can meet the needs of composers’ assisted creation and music researchers’ analysis of a large amount of music data, and the results can be further transferred to deep music learning research, human-computer interaction music creation, application-based music creation, and other fields for expansion.…”
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A Computational Complexity-Based Method for Predicting Scholars’ Ages through Articles’ Information by Jun Zhang, Xiaoyan Su, Mingliang Hou, Jing Ren

“…Our method first classifies factors that affect scholars’ ages into intuitive and complex types according to their computational complexity and then apply machine learning algorithms to predict the ages of scholars based on these factors. …”
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A Data-Driven Method for Supporting Self-Adapt Large-Scale Group Decision-Making: A Case Study on Resilient Design of Firm’s Product by Houxue Xia, Mingwei Liu, Jingyao Jiao, Huagang Tong, Haifeng Zhang

“…The advent of machine learning techniques has revolutionized LSGDM by introducing new data-driven approaches. …”
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