A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

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Sleep Posture Recognition Method Based on Sparse Body Pressure Features by Changyun Li, Guoxin Ren, Zhibing Wang

“…Non-visual techniques for identifying sleep postures have become essential for enhancing sleep health. Conventional methods depend on a costly professional medical apparatus that is challenging to adapt for domestic use. …”
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Editorial: Mental health, epidemiology and machine learning by Marcos DelPozo-Banos, Robert Stewart, Robert Stewart, Ann John

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Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling by Ivan Stebakov, Alexei Kornaev, Elena Kornaeva, Sergey Majorov

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An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…A key factor in QML’s performance is the method used to encode classical data into quantum states, as it defines how data is represented and processed in quantum circuits. …”
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Predicting Energy Consumption in Building Heating Systems Using Model Identification Methods by Qu Minglu, Du Shanghe, Zhang Xinlin, Yu Zhen, Li Huai

“…The final identification model was determined after optimizing three machine learning methods, including polynomial regression, artificial neural networks, and extreme gradient boosting. …”
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Comparative Analysis of Feature Selection Methods with XGBoost for Malware Detection on the Drebin Dataset by Ines Aulia Latifah, Fauzi Adi Rafrastara, Jevan Bintoro, Wildanil Ghozi, Waleed Mahgoub Osman

“…Traditional detection methods, such as signature-based detection, are often ineffective against new or polymorphic malware. …”
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Energy Consumption Prediction of Building Heating Systems Based on Model Identification Methods by 曲明璐, 杜尚赫, 张欣林, 于 震, 李 怀

“…The study conducts an in-depth analysis of time-series historical data generated by buildings using machine learning techniques. A general model identification method was developed through an algorithm that optimizes competition based on black-box models. …”
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Metode Storytelling dalam Membina Perilaku Religius Siswa Sekolah Dasar YP Indra Palembang by Holidi Holidi, Karoma Karoma, Annisa Astrid

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Implementasi Metode Bernyanyi Dalam Pembelajaran Fiqih Di Pesantren Miftahul Jannah An-Nuriyyah by Aura Aulia Azzahra, Syahidin Syahidin, Nurti Budiyanti

Subjects: “…singing method…”
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Assessing AI Integration in Islamic Higher Education: A Mixed-Methods Fishbone Diagram Analysis by Aan Ansori, Fitri Damyati, Syifa Amara Dhestyani

“…This study employs the Fishbone Diagram approach to systematically analyze Artificial Intelligence's impact on Indonesian State Islamic Higher Education Institutions education, identifying key factors influencing implementation. The method employs a reverse-cause analysis, mapping factors contributing to a primary issue, and identifying underlying causes and sub-factors. …”
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Securing Blockchain Systems: A Layer-Oriented Survey of Threats, Vulnerability Taxonomy, and Detection Methods by Mohammad Jaminur Islam, Saminur Islam, Mahmud Hossain, Shahid Noor, S. M. Riazul Islam

“…Overall, this paper provides a comprehensive overview of blockchain security threats and detection methods, emphasizing the need for a multifaceted approach to safeguard these evolving systems.…”
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Comparison of the Effectiveness of Traditional Teaching and Case-Based Teaching in the Enhancement of Academic Motivation and Learning in Nursing Student’s Physiology Course - A Ex... by Khadijeh Moradbeygi, Fatemeh Khodadadi, Jomehzadeh, Maryam Jafar Sameri, Seyyed Mohammad Ali Malaeke

“…These findings suggest that employing active and interactive teaching methods, such as case-based learning, can be an effective strategy for enhancing nursing students' academic motivation. …”
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Matrix-based method to update incomplete multigranulation three-way regions with increasing objects by Chengxiang Hu, Haoran Zhang, Xingpeng Kuai, Xiaoling Huang, Xiaojing Hu

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THE GAME TECHNIQUE NTCHNIQUE STIMULATING LEARNING ACTIVITY OF JUNIOR STUDENTS SPECIALIZING IN ECONOMICS by Juri. S. Ezrokh

“…The research is aimed at specifying and developing the modern control system of current academic achievements of junior university students; and the main task is to find the adequate ways for stimulating the junior students’ learning activities, and estimating their individual achievements.Methods: The author applies his own assessment method for estimating and stimulating students’ learning outcomes, based on the rating-point system of gradually obtained points building up a student’s integrated learning outcomes.Results: The research findings prove that implementation of the given method can increase the motivational, multiplicative and controlling components of the learning process.Scientific novelty: The method in question is based on the new original game approach to controlling procedures and stimulation of learning motivation of the economic profile students.Practical significance: The recommended technique can intensify the incentivebased training activities both in and outside a classroom, developing thereby students’ professional and personal qualities.…”
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Physical Therapy students’ perception of the Objective Structured Clinical Examination: a mixed methods approach by Thiago Oliveira Santos, Priscila Gomes de Jesus Oliveira, Rafaela Oliveira Silva, Lília Maria Mendes Bernardi, Raquel Annoni

“…This study demonstrated that Physical Therapy students perceive OSCE as a valuable learning method. They appreciated the training it provided in human relationships for clinical practice, while simultaneously identifying stress as a notable negative aspect.…”
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Artificial intelligence for determining learning strategies in university students by Ángel Ramón Sabando-García, Cynthia Michel Olguín-Martínez, Raul Marcelo Benavides-Lara, Teresa Irina Salazar-Echeagaray, Eduardo Alfonso Huerta-Mora, Bibian Bibeca Bumbila-García, Lizandro Agustín Cedeño-Barcia, Jenniffer Sobeida Moreira-Choez

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Toward Understanding Federated Learning over Unreliable Networks by Chenyuan Feng, Ahmed Arafa, Zihan Chen, Mingxiong Zhao, Tony Q. S. Quek, Howard H. Yang

Subjects: “…Federated learning…”
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A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes by Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada

“…This study presents a comparative analysis of hyper-parameter optimization methods used in developing predictive models for patients at risk of heart failure readmission and mortality. …”
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Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods by Wildan Jaya Kusoema, Ichsan Ibrahim

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