Heterogeneous, high-dimensional, and complex clinical data have remained a key challenge for early sepsis detection in intensive care units. This paper introduces a Hybrid GAP-HMSOA-GNN-COMPOSER architecture that incorporates a graph-based relational model and metaheuristic optimization to learn and generate accurate, reliable sepsis predictions. T...

By K. Sameera, P. Amudhavalli

International migration from developing economies is increasingly driven by the interplay between economic incentives, social networks, and the institutional environment. The understanding of these drivers is central to policy design aimed at maximizing the benefits of labor mobility, minimizing human capital loss, and capturing positive impacts of...

By Dao Tuan Minh

Artificial intelligence (AI) is significantly contributing to beneficial transformations in auditing by enhancing analytical capabilities, automating monotonous tasks, and refining decision-making processes. This piece of research looks into the effects of predictive and generative AI on the quality of auditing as well as its efficiency. Moreover, ...

By S. Edmund Christopher, Jaishu Antony, Zaheda Daruwala, Mahmoud Abouagwa

It is still very hard to predict addiction rehabilitation outcomes at the time of admission since current methods of evaluation do not recognize the interconnection between an individual's biomedical state and personality functioning. In this paper, Introduce Biomedical Assessment Framework for Evaluating Adaptive Personality Potential (BAF-APP), w...

By Nodira Makhkamova, Laylo Juraeva, Umurzak Jumanazarov, Mamuraxon Umaralieva, Mahfuza Sangirova, Nilufar Karimova, Fotima Gazieva

The detection of fabric defects through automation is important for ensuring the quality of the textile material because traditional detection methods are not only very time-consuming but also subjective and cannot be applied during the process of production. The traditional models that use techniques of image processing and deep learning have vari...

By Deepti Patil, Ambika

Mental-health NLP (Natural Language Processing) remains strongly English-centric, limiting language-inclusive digital health technologies for low-resource languages such as Tamil. This study investigates whether multilingual representation learning can transfer a specialised mental-health classification task to Tamil and whether bilingual English&n...

By Deivanai Gurusamy, Midhunchakkaravarthy Janarthanan

Islamic architecture's impact on European design is a manifestation of centuries of cultural interaction, commerce, and conquest. Islamic architectural forms, including domes, arches, geometric patterns, and calligraphy, were introduced into European forms through contact in Spain, Sicily, and the Crusades. This research examines how Islamic archit...

By Nodir Karimov, Maqsad Maytakubov, Janjayxan Darmenov, Habibakhon Mamadalieva, Farrux Akchayev, Ilhom Karimov, Gullola Kurbanova

This study explores the growing phenomenon of cybercrime targeting older adult individuals in Malaysia, a demographic increasingly susceptible due to factors such as limited digital literacy, social isolation, and perceived financial stability. Drawing upon Routine Activity Theory and Social Engineering Theory, the research investigates the situati...

By Kian-Lam Tan, Jayaeswari Sangaralingam, Lau Pei Mey, Premalatha Karupiah, Chen-Kim Lim

The architectural landmarks of Central Asia are a stunning reminiscence of the cultural and historical amalgamation that took place over the Silk Road. The regions of Central Asia face an unparalleled risk of climate change, urban decay, and worse neglecting conservation attempts. New methodologies of preservation, driven by digital techniques, hav...

By Nodira Makhkamova, Khamdam Matyakubov, Shahzod Rakhmonov, Uzokova Shakhnoza, Mehrangiz Hojiyeva, Sherzod Rakhimov, Oybek Rakhimov

In recent decades, remote-controlled vehicles (ROVs) have attracted significant attention because of their potential applications in healthcare, medicine, agriculture, and civilian information. In this article, we investigate the development of low-cost mobile robots equipped with a global positioning system (GPS). GPS-assisted robot is used to pro...

By Huu Khoa Tran, Viet Thang Le, Thanh Trang Tran, Van Dung Nguyen