DYNAMIC TALENT INNOVATION ECOSYSTEM FOR OPTIMIZING TALENT ACQUISITION, DEVELOPMENT, AND INNOVATION SCALING IN SOFTWARE ENGINEERING
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
PHILOSOPHY OF SUSTAINABLE ARCHITECTURE AND THE ETHICAL DIMENSIONS OF SMART BUILDINGS AND IOT INTEGRATION
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
THE SURVEY OF CLUSTER BASED DATA COLLECTION PROCESS FOR IOT ENABLED WIRELESS SENSOR NETWORK USING SEVERAL OPTIMIZATION TECHNIQUE
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
EXPLORING ABG IMBALANCES IN ICU PATIENTS USING MACHINE LEARNING SUPERVISED ALGORITHMS
Arterial Blood Gas (ABG) analysis is an important diagnostic tool in intensive care unit (ICU) settings that provides valuable information about the patient's respiratory and metabolic status. However, in the absence of predictive information, when testing is over-utilized or not planned, it can cause discomfort to the patient, costs to the healthc...
By S. Ramadoss, A. Kumaravel
LANGUAGE OF MINING TECHNOLOGY EVOLUTION AND ITS ROLE IN ADVANCING ENVIRONMENTAL SUSTAINABILITY AND SAFETY STANDARDS
The research paper discusses the history of mining technology and the way it has contributed enormously to the advancement of the degree of environmental sustainability and safety in the mining industry. The paper will discuss the key technological developments in the mining sector, including automation, artificial intelligence, robotization, and e...
By Sobirjon Bazarov, Sardor Norboyev, Ulugbek Kosimov, Yayra Kasimova, Munisabonu Tursunboyeva, Lobar Bakhramova, Matyakubov Maqsad
AI-POWERED RECONSTRUCTION OF HISTORICAL ENGINEERING MANUSCRIPTS USING OPTICAL CHARACTER RECOGNITION
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
A BENCHMARK COMPARISON OF SIMPLE CNN, RESNET-50, AND EFFICIENTNET FOR IMAGE CLASSIFICATION
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
IMPLEMENTING UIPATH IN SAP ERP FOR ACCOUNTS RECEIVABLE MANAGEMENT: STRATEGIES AND OUTCOMES
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
AN EARLY DETECTION OF KAWASAKI DISEASE USING ENHANCED FEATURE SELECTION AND HYBRIDIZATION-BASED CLASSIFICATION APPROACH
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
FEATURE SELECTION METHOD USING HYBRID SWARM WITH IMPROVED FUZZY C-MEANS CLUSTERING IN DATA MINING FOR DISEASE DETECTION
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