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
BRIDGING THE GAP BETWEEN KNOWLEDGE MANAGEMENT AND DIGITAL TRANSFORMATION: THE CRITICAL ROLE OF DIGITAL LITERACY, ORGANIZATIONAL CULTURE
This paper explores the connections between knowledge management (KM), digital literacy (DL), organizational culture (OC) and digital transformation (DT). It investigates the role of KM on the usage of DL and OC and how both are interplaying determinants of successful digital change. To examine these relationships, the study conducted a path analys...
By Rehmat Shah, Muhammad Naeem Sarwar, Saba Hanif, Zubair Younas
GEOLOGICAL STRUCTURE AND TOURIST ASPECTS OF THE RELIEF OF CHURVOQ FREE TOURIST ZONE
The Churvoq (Charvak) Free Tourist Zone (FTZ) represents a critical intersection between the complex tectonic landscape of the Western Tien Shan and Uzbekistan’s strategic push for international tourism. This paper examines the dual role of geological relief as both a primary recreational asset and a significant developmental constraint. Util...
By Shahnoza Shomurodova, Sulton Najmiddinov, Iskandar Sharofutdinov, Umida Xaybiyeva, Yusupov Gulboy, Davron Nigmatov, Dilshoda Saydumarova, Nodira Nurullayeva
ON LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE (GENAI) FOR BEHAVIOR LEARNING AND PERSONALIZED MARKETING OPTIMIZATION
Generative AI (GenAI), especially GPT-3.5-turbo, has transformed the e-commerce marketing process because it offers personalized learning experiences and improves the customer experience. In this paper, we discuss the use of GenAI in consumer behavior analysis and the development of customized marketing strategies. It has been observ...
By Bsmah Alsulami, Budoor Alwated, Khadijah Barashid, Manal Abdullah, Monerah AlOsaimi, Samah Alhusayni
FEDERATED LEARNING-BASED INTRUSION DETECTION FOR 6 G-ENABLED INTERNET OF THINGS IN SMART CITIES
The high rate of Internet of Things (IoT) device proliferation in smart cities, along with the emergence of 6G technology, has tremendously augmented the network traffic and the issue of security. This paper proposes a Federated Learning-based Intrusion Detection System (FL-IDS) specifically designed for 6G-enabled IoT networks. The new system help...
By Sanjay Kumar, Sapna Bawankar, Sindhusaranya Balraj
EXPLORING THE IMPACT OF INNOVATION ON INDIA'S SCIENTIFIC EQUIPMENT INDUSTRY THROUGH GLOBAL PARTNERSHIPS
The paper discusses the importance of innovation in revolutionizing the scientific equipment market in India with a lot of focus on how it has changed supplier firms and its end consumers particularly the pharmaceutical industry. It underscores the use of new technologies and models of business with regard to improved operational performance and ef...
By Dinakar Lingam, Syed Jaffer
EXPERIMENTAL INVESTIGATION ON MECHANICAL AND FLEXURAL BEHAVIOUR OF CONCRETE WITH FOUNDRY SAND AS PARTIAL FINE AGGREGATE REPLACEMENT
Waste Foundry Sand (WFS) is the disposal that has been of great concern to the environment and this is as a result of high volumes generated in the process of metal casting. The building sector is developing eco-friendly alternatives to the natural aggregates in order to minimize environmental degradation and save natural resources. In this paper, ...
By John Sundarraj, Kesavan Govindaraj
IMPACT OF SMART TECHNOLOGIES ON PRECISION AGRICULTURE FOR SUSTAINABLE CROP MANAGEMENT
Precision agriculture using smart technologies has transformed sustainable crop management to solve the problem of rising food security, resource optimization, and environmental sustainability. In precision agriculture, modern hardware, including Internet of Things (IoT) sensors and objects, drones, and artificial intelligence (AI), is used to boos...
By Lalit Sachdeva, Utkarsh Anand
BIOGENIC SYNTHESIS AND ANTIBACTERIAL ACTIVITY OF SILVER NANOPARTICLES USING CYANOBACTERIA FROM THE ARID REGION OF HAIL, SAUDI ARABIA
This research paper examines the biogenic production of silver nanoparticles (AgNPs) using cyanobacterial strains (Spirulina, Nostoc, and Anabaena) that have been isolated in arid areas, Hail, in Saudi Arabia, and determines their antimicrobial effects in relation to multi-drug-resistant pathogens. Synthesis was done by incubating cyanobacterial bi...
By Sana M. Alenezi, Amal A. Al-Hazzani, Fatimah S. Alkhattaf
A DEEP ENSEMBLE LEARNING AND INTELLIGENT HYBRID FEATURE EXTRACTION MODEL FOR THE PEST DETECTION AND CLASSIFICATION IN CLOUD COMPUTING
This study presents an advanced approach for Pest Detection (PD) through automatic identification of invasive insects using Deep Ensemble Learning (DEL) and intelligent Feature Extraction (FE) techniques. The process begins with Z-score normalization (ZSN) to eliminate noise and improve classifier performance. Improved Feature Weighted Fuzzy Cluste...
By P. Bharathi, K. Dhanalakshmi