The paper will discuss the intersection between sustainable architecture and the next generation of smart technologies with reference to the use of Internet of Things (IoT) systems in smart buildings. It aims to investigate the positive results of IoT-based smart buildings regarding the environmental performance and to discuss the ethical issues co...

By Umid Kamalov, Alisher Rajabov, Manzura Satimova, Firuza Abdulkhairova, Kamola Ibragimova, Zilola Rakhmatillaeva, Dilorom Eshkuvatova, Sullieva Suluv

Kawasaki disease (KD) is a disease that cause inflammation in blood vessels, impacting kids and causes heart and blood vessel damage. Patients with KD who have medium or big aneurysms, developing coronary dilatation for a minimum of 2 months, are related to the worst late coronary results, which are not widely researched. The primary goal...

By C. Kavitha, A. Subramani

A crucial method for reducing the dimensionality issue in DM (Data Mining) tasks is FS (Feature Selection). Conventional techniques for FS do not scale well in vast spaces. The HPSO-IKM approach has a rather long processing time, so future studies will keep enhancing the technique's stages to reduce the duration of detection. PSO's poor local searc...

By M. Birundha Rani, Dr.A. Subramani

Offers a detailed analysis of optimization algorithms and routing protocols are created to overcome the issues on energy efficiency with the Internet of Things (IoT) Enabled Wireless Sensor Networks (WSNs). The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray W...

By R. Abirami, K. Sathishkumar, Liu Guanzhou, M. Ramalingam, Wasim Ahmad, Ali Bostani

The nature of software engineering is ever-changing and needs smart, intelligent, and innovation-enhancing solutions for talent management. In this paper, we describe our statistically validated dynamic Talented Innovative ecosystem (DTIE) that aims to improve innovation scaling in software engineering through AI-enabled analytics, data-driven recr...

By S. Krishnadas, Ramya Thiyagarajan

Terrain Type Identification is an essential aspect of environmental monitoring, urban planning, and resource management. This study discusses a comparative investigation of the effectiveness of three Convolutional Neural Network (CNN) architectures Simple CNN, ResNet-50, and the Enhanced Efficient CNN Model which is Efficient Net in training with t...

By V. Sahaya Sakila, R. Sujeetha, S.V. Ramanathan, M. Adhithya Raj, B. Philip Regin

This study presents an advanced nonlinear numerical analysis using ABAQUS to assess the blast resistance of curved rubber-reinforced concrete (RRC) barrier walls. Four types of concrete, normal concrete (NC), and rubberized concretes with 10%, 30%, and 50% rubber particle volume fractions (RC10, RC30, RC50) were modeled and evaluated under blast lo...

By Islam Ali Mahmoud, Ashraf A. A. Beshr, Ahmed E. Sedawy

Medical disorders in women can often be the underlying cause of various symptoms and are frequently associated with anovulatory conditions, such as Endometriosis. The limitation of finding the specific diseases in image processing approach is complex structure tissue, early detection and treatment of these conditions are essential. To address these...

By J. Josphin Mary, V. Shanthi

Accounts Receivable (AR) management is fundamental to the financial activities of an enterprise, as it impacts liquidity, working capital optimization, and exposure to credit risk. Also, while SAP ERP incorporates a basic shell for AR processes, it heavily depends on batch-driven systems, manual validation loops, and fragmented exception handling f...

By Naren Swamy Jamithireddy

Preserving and interpreting historical engineering documents aids in appreciating the nature of scientific reasoning as well as technological advances. Digitization and detailed analysis are highly challenging for many of such documents which are handwritten, eroded and in delicate conditions. This paper presents research on reconstruction of histo...

By Navbakhor Iskandarova, Nargiza Burieva, Abdurahim Mannonov, Adil Kariev, Nodir Karimov, Zumrad Kasimova, Margubakhan Eshnazarova, Sadokat Abidova