Desy Nurliasari¹, Awaly Ilham Dewantoro¹, Muhammad Adly Rahandi Lubis^2,3, Roni Kastaman^1,4,*, Mohamad Djali^3,5, Efri Mardawati^1,3, Devi Maulida Rahmah^1,3, Siti Nurhasanah^3,5, Akbar Hanif Dawam Abdullah^2,3, Lukmanul Hakim Zaini^6,7,*

Journal of Renewable Materials, Vol.13, No.1, pp. 181-197, 2025, DOI:10.32604/jrm.2024.056475 - 20 January 2025

Abstract Konjac is an ideal candidate for edible coatings on fruits due to its hydrophilic properties, film-forming ability, barrier properties, safety, and biodegradability. Meanwhile, the high market demand for strawberries necessitates post-harvest treatment to extend their shelf life and preserve their quality, as strawberries are known for their fragile skin and soft texture. To fully utilize konjac and develop high-quality coating films, native konjac flour (NKF) and konjac glucomannan (KGM) were extracted from its corm and used as a coating film for strawberries in the present study. Therefore, this study aimed to compare the physical properties… More > Graphic Abstract

Prabal Shrestha¹, Onur Avci^1,*, Sahabeddin Rifai¹, Feras Abla¹, Michael Seek², Karl Barth¹, Udaya Halabe³

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 193-231, 2025, DOI:10.32604/sdhm.2024.049530 - 15 January 2025

Abstract Civil infrastructure is continuously subject to aging and deterioration due to multiple factors, which lead to a decline in performance and impact structural health. Accumulated damage on structures increases operational costs and poses significant risks to public safety. Effective maintenance, repair, and rehabilitation strategies are needed to ensure civil infrastructure’s overall safety and reliability. Non-Destructive Evaluation (NDE) methods are utilized to assess latent damage and provide decision-makers with real-time information for mitigating hazards. Within the last decade, there has been a significant increase in the research and development of innovative NDE techniques to improve data… More >

Muhammad Salahuddin Mohamad Shahrul Annuar, Nabilah Naharudin^*, Nur Aina Adiela Azmi, Nafisah Khalid

Revue Internationale de Géomatique, Vol.34, pp. 53-69, 2025, DOI:10.32604/rig.2025.058078 - 13 January 2025

Abstract Tourism trails connect destinations, points of interest, and travel-related businesses. By enhancing connectivity, these trails reduce travel time, allowing tourists to maximize their exploration of sites, leading to more efficient and satisfying travel experiences. The rising popularity of e-scooters in urban areas has highlighted the need to identify safe and accessible routes, particularly in cities where safety concerns have led to restrictions. Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) network analysis can be employed to determine optimal paths by considering multiple criteria. This study focuses on finding an optimal street art trail for… More >

Jinlong Wang^1,2,*, Zhenyu Liu¹, Xingtao Yang¹, Min Li¹, Zhihan Lyu³

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1-39, 2025, DOI:10.32604/cmc.2024.058926 - 03 January 2025

Abstract With the rapid development of artificial intelligence, the Internet of Things (IoT) can deploy various machine learning algorithms for network and application management. In the IoT environment, many sensors and devices generate massive data, but data security and privacy protection have become a serious challenge. Federated learning (FL) can achieve many intelligent IoT applications by training models on local devices and allowing AI training on distributed IoT devices without data sharing. This review aims to deeply explore the combination of FL and the IoT, and analyze the application of federated learning in the IoT from More >

Hassan Saeed¹, Imran Shafi¹, Jamil Ahmad², Adnan Ahmed Khan³, Tahir Khurshaid^4,*, Imran Ashraf^5,*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 139-172, 2025, DOI:10.32604/cmc.2024.057587 - 03 January 2025

Abstract Software-related security aspects are a growing and legitimate concern, especially with 5G data available just at our palms. To conduct research in this field, periodic comparative analysis is needed with the new techniques coming up rapidly. The purpose of this study is to review the recent developments in the field of security integration in the software development lifecycle (SDLC) by analyzing the articles published in the last two decades and to propose a way forward. This review follows Kitchenham’s review protocol. The review has been divided into three main stages including planning, execution, and analysis.… More >

Sameh Zarif^1,2,*, Hadier Moawad², Khalid Amin², Abdullah Alharbi³, Wail S. Elkilani⁴, Shouze Tang⁵, Marian Wagdy⁶

Computer Systems Science and Engineering, Vol.49, pp. 79-98, 2025, DOI:10.32604/csse.2024.057439 - 03 January 2025

Abstract Authentication is the most crucial aspect of security and a predominant measure employed in cybersecurity. Cloud computing provides a shared electronic device resource for users via the internet, and the authentication techniques used must protect data from attacks. Previous approaches failed to resolve the challenge of making passwords secure, memorable, usable, and time-saving. Graphical Password (GP) is still not widely utilized in reality because consumers suffer from multiple login stages. This paper proposes an Indexed Choice-Based Graphical Password (ICGP) scheme for improving the authentication part. ICGP consists of two stages: registration and authentication. At the… More >

SAYUMI TAHARA¹, SYDNEY RENTSCH¹, FERNANDA COSTAS CASAL DE FARIA¹, PATRICIA SARCHET¹, ROMA KARNA¹, FEDERICA CALORE^2,*, RAPHAEL E. POLLOCK¹

Oncology Research, Vol.33, No.1, pp. 1-13, 2025, DOI:10.32604/or.2024.053635 - 20 December 2024

Abstract Liposarcoma is one of the most common soft tissue sarcomas, however, its occurrence rate is still rare compared to other cancers. Due to its rarity, in vitro experiments are an essential approach to elucidate liposarcoma pathobiology. Conventional cell culture-based research (2D cell culture) is still playing a pivotal role, while several shortcomings have been recently under discussion. In vivo, mouse models are usually adopted for pre-clinical analyses with expectations to overcome the issues of 2D cell culture. However, they do not fully recapitulate human dedifferentiated liposarcoma (DDLPS) characteristics. Therefore, three-dimensional (3D) culture systems have been the recent… More >

Pongsakon Promsawat¹, Weerapan Sae-dan^2,*, Marisa Kaewsuwan³, Weerawat Sudsutad³, Aphirak Aphithana³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 579-607, 2025, DOI:10.32604/cmes.2024.057774 - 17 December 2024

Abstract The ability to accurately predict urban traffic flows is crucial for optimising city operations. Consequently, various methods for forecasting urban traffic have been developed, focusing on analysing historical data to understand complex mobility patterns. Deep learning techniques, such as graph neural networks (GNNs), are popular for their ability to capture spatio-temporal dependencies. However, these models often become overly complex due to the large number of hyper-parameters involved. In this study, we introduce Dynamic Multi-Graph Spatial-Temporal Graph Neural Ordinary Differential Equation Networks (DMST-GNODE), a framework based on ordinary differential equations (ODEs) that autonomously discovers effective spatial-temporal… More >

Vajratiya Vajrobol¹, Geetika Jain Saxena², Amit Pundir², Sanjeev Singh¹, Akshat Gaurav³, Savi Bansal^4,5, Razaz Waheeb Attar⁶, Mosiur Rahman⁷, Brij B. Gupta^7,8,9,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 49-90, 2025, DOI:10.32604/cmes.2024.056500 - 17 December 2024

Abstract Mental health is a significant issue worldwide, and the utilization of technology to assist mental health has seen a growing trend. This aims to alleviate the workload on healthcare professionals and aid individuals. Numerous applications have been developed to support the challenges in intelligent healthcare systems. However, because mental health data is sensitive, privacy concerns have emerged. Federated learning has gotten some attention. This research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare systems. It explores various dimensions of federated learning in mental health, such as More >

Kaviyaraj Ravichandran^*, Uma Mohan^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 185-208, 2025, DOI:10.32604/cmes.2024.056387 - 17 December 2024

Abstract Augmented reality (AR) is an emerging dynamic technology that effectively supports education across different levels. The increased use of mobile devices has an even greater impact. As the demand for AR applications in education continues to increase, educators actively seek innovative and immersive methods to engage students in learning. However, exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational integration. Concurrently, this surge in demand has prompted the identification of specific barriers, one of which is three-dimensional (3D) modeling. Creating 3D objects for augmented reality education applications can be challenging and… More > Graphic Abstract