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

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

Diabetes Mellitus is a significant world health and early detection is of paramount significance since it decreases the complications and enables medical intervention in time. The paper is a comparison between the predictive accuracy of the eight Machine Learning classifiers: Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random ...

By Zeeshan Hussain, Suraiya Parveen, Ashif Khan, Ihtiram Raza, Umnah

The paper discusses the application of behavioral economics in consumer decision-making in the sustainable product market. Behavioral economics is contrasted to the traditional economic theory, which assumes rationality of choices based on the maximization of utility, where behavioral factors, including psychological biases, social norms, and emoti...

By Arasuraja Ganesan, R. Velanganni, Vijayakanthan Selvaraj, M. Rajapriya

The smart infrastructure construction projects implemented under the Engineering-Procurement-Construction (EPC) model have been growing more complicated with the globalized supply chains, the technology-induced complexity of the components employed, and the increased sustainability and risk management demands. Conventional EPC supply chain and proj...

By Sardorbek Isroilov, Azibaev Akhmadkhon Gulomjon ugli, Abdurakhimova Zulaykho Ikromjon kizi, Rashidkhon Uulu Atabek, Ismoilov Ravshanjon Yakubjon ugli

The rapid growth of urban populations has exacerbated energy waste, resource inefficiency, and environmental degradation in contemporary cities, necessitating crucial, smart building solutions. This paper examines the incorporation of the Internet of Things (IoT) in intelligent buildings to facilitate sustainable urban development. The study helps ...

By Dawakit Lepcha, Kanchan Thakur

The digitalization of healthcare is fast, bringing about abundant and diverse medical data with novel opportunities to bring precise healthcare with the help of artificial intelligence (AI) associated analytics. Traditional methods of data analysis in medical fields frequently do not describe nonlinear and complex relationships in multimodal clinic...

By B. Senthilkumaran, Gajraj Singh, Ali Bostani, S. Krithika, Zarina Khalbayeva, R. Ushasree, P. Nanthini