Kwang Chee Seng, Siti Fatimah Abdul Razak^*, Sumendra Yogarayan

Computer Systems Science and Engineering, Vol.49, pp. 239-258, 2025, DOI:10.32604/csse.2024.056582 - 10 January 2025

Abstract Vehicle overtaking poses significant risks and leads to injuries and losses on Malaysia’s roads. In most scenarios, insufficient and untimely information available to drivers for accessing road conditions and their surrounding environment is the primary factor that causes these incidents. To address these issues, a comprehensive system is required to provide real-time assistance to drivers. Building upon our previous research on a LoRa-based lane change decision-aid system, this study proposes an enhanced Vehicle Overtaking System (VOS). This system utilizes long-range (LoRa) communication for reliable real-time data exchange between vehicles (V2V) and the cloud (V2C). By More >

Sarvenaz Sadat Khatami¹, Mehrdad Shoeibi², Anita Ershadi Oskouei³, Diego Martín^4,*, Maral Keramat Dashliboroun⁵

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 881-911, 2025, DOI:10.32604/cmc.2024.059999 - 03 January 2025

Abstract The Internet of Things (IoT) is integral to modern infrastructure, enabling connectivity among a wide range of devices from home automation to industrial control systems. With the exponential increase in data generated by these interconnected devices, robust anomaly detection mechanisms are essential. Anomaly detection in this dynamic environment necessitates methods that can accurately distinguish between normal and anomalous behavior by learning intricate patterns. This paper presents a novel approach utilizing generative adversarial networks (GANs) for anomaly detection in IoT systems. However, optimizing GANs involves tuning hyper-parameters such as learning rate, batch size, and optimization algorithms,… More >

Ibrar Afzal¹, Noor ul Amin^1,*, Zulfiqar Ahmad^1,*, Abdulmohsen Algarni²

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1377-1399, 2025, DOI:10.32604/cmc.2024.057755 - 03 January 2025

Abstract The deployment of the Internet of Things (IoT) with smart sensors has facilitated the emergence of fog computing as an important technology for delivering services to smart environments such as campuses, smart cities, and smart transportation systems. Fog computing tackles a range of challenges, including processing, storage, bandwidth, latency, and reliability, by locally distributing secure information through end nodes. Consisting of endpoints, fog nodes, and back-end cloud infrastructure, it provides advanced capabilities beyond traditional cloud computing. In smart environments, particularly within smart city transportation systems, the abundance of devices and nodes poses significant challenges related… More >

Jun Wang^1,2, Mingjie Wang^1,2, Zijie Li^1,2, Ken Chen^1,2, Jiatian Mei^1,2, Shu Zhang^1,2,*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 485-498, 2025, DOI:10.32604/cmc.2024.057224 - 03 January 2025

Abstract In the field of intelligent education, the integration of artificial intelligence, especially deep learning technologies, has garnered significant attention. Knowledge tracing (KT) plays a pivotal role in this field by predicting students’ future performance through the analysis of historical interaction data, thereby assisting educators in evaluating knowledge mastery and tailoring instructional strategies. Traditional knowledge tracing methods, largely based on Recurrent Neural Networks (RNNs) and Transformer models, primarily focus on capturing long-term interaction patterns in sequential data. However, these models may neglect crucial short-term dynamics and other relevant features. This paper introduces a novel approach to… More >

Xianju Gao^*, Huachun Zhou, Weilin Wang, Jingfu Yan

Computer Systems Science and Engineering, Vol.49, pp. 19-48, 2025, DOI:10.32604/csse.2024.058327 - 03 January 2025

Abstract The network security knowledge base standardizes and integrates network security data, providing a reliable foundation for real-time network security protection solutions. However, current research on network security knowledge bases mainly focuses on their construction, while the potential to optimize intelligent security services for real-time network security protection requires further exploration. Therefore, how to effectively utilize the vast amount of historical knowledge in the field of network security and establish a feedback mechanism to update it in real time, thereby enhancing the detection capability of security services against malicious traffic, has become an important issue. Our… More >

Linlin Sun^1,2, Zihui Wang³, Shukun Cui^1,2, Ziquan Yan^1,2,*, Weiping Hu³, Qingchun Meng³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 555-577, 2025, DOI:10.32604/cmes.2024.056023 - 17 December 2024

Abstract Rail weld irregularities are one of the primary excitation sources for vehicle-track interaction dynamics in modern high-speed railways. They can cause significant wheel-rail dynamic interactions, leading to wheel-rail noise, component damage, and deterioration. Few researchers have employed the vehicle-track interaction dynamic model to study the dynamic interactions between wheel and rail induced by rail weld geometry irregularities. However, the cosine wave model used to simulate rail weld irregularities mainly focuses on the maximum value and neglects the geometric shape. In this study, novel theoretical models were developed for three categories of rail weld irregularities, based… More >

Sabrina Meddah^1,2,*, Sid Ahmed Tadjer³, Abdelhakim Idir⁴, Kong Fah Tee^5,6,*, Mohamed Zinelabidine Doghmane¹, Madjid Kidouche¹

Structural Durability & Health Monitoring, Vol.19, No.1, pp. 77-103, 2025, DOI:10.32604/sdhm.2024.053541 - 15 November 2024

Abstract Maintaining the integrity and longevity of structures is essential in many industries, such as aerospace, nuclear, and petroleum. To achieve the cost-effectiveness of large-scale systems in petroleum drilling, a strong emphasis on structural durability and monitoring is required. This study focuses on the mechanical vibrations that occur in rotary drilling systems, which have a substantial impact on the structural integrity of drilling equipment. The study specifically investigates axial, torsional, and lateral vibrations, which might lead to negative consequences such as bit-bounce, chaotic whirling, and high-frequency stick-slip. These events not only hinder the efficiency of drilling… More >

Zhenyu Zhang¹, Quan Jin¹, Haitao Zhang¹, Zhao Liu¹, Yuyang Wu², Longfei Zhang², Renzhang Yan^2,*

Structural Durability & Health Monitoring, Vol.19, No.1, pp. 167-191, 2025, DOI:10.32604/sdhm.2024.053190 - 15 November 2024

Abstract When the upper chord beam of the beam-string structure (BSS) is made of concrete-filled steel tube (CFST), its overall stiffness will change greatly with the construction of concrete placement, which will have an impact on the design of the tensioning plans and selection of control measures for the BSS. In order to accurately obtain the bending stiffness of CFST beam and clarify its impact on the mechanical properties of composite BSS during construction, the influence of some factors such as height-width ratio, wall thickness of steel tube, elasticity modulus of concrete, and friction coefficient on More >

Shinichiro Matsuguma^1,*, Miku Suzuki², Miki Kanamaru³, Hitomi Tsuchiya², Masato Kawamoto², Masaya Kobayashi⁴

International Journal of Mental Health Promotion, Vol.26, No.12, pp. 967-975, 2024, DOI:10.32604/ijmhp.2024.057068 - 31 December 2024

Abstract Background: Today, mental illness is one of the most serious social issues in Japan. To proactively prevent psychological disorders and improve and maintain well-being, each individual must take action and engage in small yet significant daily activities for their well-being on a daily basis. The purpose of this study was to investigate if our daily engagement in oyatsu activities, sharing and giving snacks, can enhance hedonic and eudaimonic well-being. Methods: We conducted a randomized controlled, open-label, parallel-group comparative design trial. Participants were recruited from a community website run by a snack company in Japan. Participants who… More >

Hebat-Allah S. Tohamy^*

Journal of Renewable Materials, Vol.12, No.12, pp. 1963-1983, 2024, DOI:10.32604/jrm.2024.054977 - 20 December 2024

Abstract Fire retardant CNTs/WPP/Gel composite papers were fabricated by incorporating bio-based carbon nanotubes (CNTs) recycled from mature beech pinewood sawdust (MB) and cellulosic waste printed paper (WPP) into a gelatin solution (Gel) and allowing the mixture to dry at room temperature. The CNTs within the WPP matrix formed a network, enhancing the mechanical and thermal properties of the resulting CNTs paper sheet. In comparison to pure WPP/Gel, CNTs/WPP/Gel exhibited superior flexibility, mechanical toughness, and notable flame retardancy characteristics. This study provides a unique and practical method for producing flame-retardant CNTs/WPP/Gel sheets, suitable for diverse industrial applications,… More > Graphic Abstract