AN ECOLOGICAL FRAMEWORK OF STUDENT RESILIENCE IN THE POST-PANDEMIC CONTEXT
The paper examines the impact of online communities, learning environment, family harmony, and health habits, and their effects on student resilience and work-life balance in post-pandemic Kerala. It also studies the mediation effect of resilience between these factors and academic adaptability, as well as well-being. A mixed-method sequential desi...
By Bobby Pudukaden, A. Martin Jayaraj
BUILDING INFORMATION MODELING AND ITS ROLE IN ADVANCING SUSTAINABLE CONSTRUCTION PRACTICES
The global construction industry accounts for approximately 37% of energy-related carbon dioxide emissions and nearly one-third of global waste, necessitating a rapid shift toward sustainable practices. Building Information Modeling (BIM) has become a transition catalyst, going beyond simple 3D visualization that has incorporated environmental inte...
By Deepti Patnaik, Rakshak Bharti
NEUROMORPHIC-INSPIRED HYBRID COGNITIVE MODEL FOR SELF-OPTIMIZING RESOURCE MANAGEMENT IN 6G EDGE NETWORKS
Introduction: The 6G world requires connected intelligence, but there is a crucial paradox between the standards of Large Language Model (LLM) and edge constraints. The premium devices have up to 6-12GB of DRAM, whereas the typical 175B models need 350GB of storage, which is 30 times that of the premium version. Literature Survey: It has been...
By Reji K Kollinal, Mariya T Cheeran
ENTREPRENEURIAL MARKETING AND INNOVATION CAPABILITIES IN HIGH TECHNOLOGY STARTUPS IN EMERGING ECONOMIES
Emerging economies have a dynamic and challenging business environment, which requires entrepreneurial marketing and innovation capabilities of the high-tech startups. Such startups are usually faced with issues of lack of resources, regulation and lack of proper infrastructure. In this regard, it is important to combine entrepreneurial marketing p...
By Jainish Roy, Rajesh Sehgal
METARFM: A META-LEARNING FRAMEWORK FOR THE ADAPTIVE SELECTION OF RFM MODEL ARIANTS IN CUSTOMER SEGMENTATION
The Recency-Frequency-Monetary (RFM) model is a widely used method for customer segmentation, but its effectiveness depends on selecting the appropriate variant (e.g., weighted or entropy-based) for a given dataset. This selection process is typically manual and task-specific, leading to inconsistent results and limited generalizability. To address...
By F. Mary Magdalene Jane, V. Pream Sudha, S. Saranya, P. Usha, V. Santhana Lakshmi, S.R. Kalaiselvi
DISASTER RECOVERY IN LARGE-SCALE DATABASES: DESIGNING EFFECTIVE FAILOVER AND BACKUP STRATEGIES
Within the database infrastructures of large-scale enterprises and government organizations, preserving swift and dependable disaster recovery processes continues to be particularly challenging with increasing data volumes and greater complexity in systems. This study conducts an evaluative analysis of advanced failover and backup methods, comparin...
By Harsha Vardhan Reddy Kavuluri
INTEGRATION OF IOT IN SMART BUILDING SYSTEMS FOR SUSTAINABLE URBAN DEVELOPMENT
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
MARITIME TOURISM TRANSPORTATION MANAGEMENT AND DEVELOPMENT IN MALAYSIA: A BIBLIOMETRIC ANALYSIS
This study presents a bibliometric analysis of maritime tourism transportation management and development, emphasizing Malaysia’s contribution to global scholarship. Data were extracted from the Scopus database using title-based searches covering maritime tourism, island tourism, and transportation studies. A sample of 176 publications (1983 ...
By Shamsul Nazim Jaffar, Mohd Saiful Izwaan Saadon, Dina Azleema Mohamed Nor, Mohd Rizal Ismail, Loke Keng Bin, Nik Muhamad Afiz Harom @ Junoh
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
HIGH-PERFORMANCE ONE-STAGE BOOSTING PFC CONVERTERS WITH ADVANCED CONTROL FOR ENHANCED POWER QUALITY AND STABILITY
This article introduces an advanced controller technique, as well as a One-Stage Boosting Power Factor Correction (OSBPFC) converter. The proposed approach is oriented towards the creation of more powerful features (PQ), more desirable stability, and adherence to fundamental principles for input interfaces. This technique, which distinguishes it fr...
By M. Devi, S. Lakshmi