A ROBUST FEATURE ENGINEERING ARCHITECTURE INCORPORATING HYBRID SAMPLING AND SEMANTIC-STRUCTURAL CODE AUGMENTATION
The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...
By P. Bhavani, N. Danapaquiame
APPLICATION OF HYBRID & NOVEL DEEP LEARNING APPROACHES FOR MULTIMODAL SENTIMENT FUSION IN IMAGES & AUDIO ANALYSIS
The paper suggests a hybrid multimodal sentiment analysis (MSA) model that would enhance the accuracy of sentiment prediction through the combination of textual, auditory, and visual information. In most cases, the traditional sentiment analysis models have been challenged because of numerous overlapping features and poor fusion methods when using ...
By Jayaprakash Vattikundala, M. Siva Ganga Prasad
OXY SENSE-WEAR: A REAL-TIME IOT-BASED WEARABLE PLATFORM FOR CONTINUOUS MULTI-PARAMETER HEALTH MONITORING
Purpose- The main objective of the proposed paper is to create and implement a real-time wearable health monitoring system based on IoT, i.e., Oxy Sense-Wear, that will enable the constant control of the main physiological parameters, such as ECG, EMG, SpO2, body temperature, and physical activity. The system is aimed at long-term surveillance of t...
By M.N. Vimal Kumar, M. Pravin Kumar, Baskar Duraisamy, A.K. Jaithunbi, P. Samson Peter, V.M. Thejashri
ADVANCED SOFT COMPUTING PARADIGM FOR CROP MAPPING USING REMOTE SENSING AND ARTIFICIAL INTELLIGENCE: A REVIEW
High-precision crop type mapping is fundamental for agricultural monitoring, food security assessment, and sustainable land management. Recent breakthroughs in Earth observation and machine learning (ML) have greatly enhanced the potential for satellite data to capture crop phenology, spatial variability, and temporal variations. This paper conduct...
By Benazir Meerasha, K. Martin Sagayam, P. Malin Bruntha, Jasmine David, Vasu Koduri
TECHNOLOGY-ENABLED SOLUTIONS FOR INCLUSIVE WORKPLACE DESIGN TO SUPPORT TRANSGENDER EMPLOYMENT RIGHTS
The study fills the gap in the current understanding of available legal safeguards and the actual inclusion of transgender workers that, despite constitutional and legislative requirements in India, there is still no equal access to work-related facilities, computerized systems, and company policies. In order to fill this gap, the research will use...
By Bhargabi Baruah, Sonika Bhardwaj
QUANTIFYING THE IMPACT OF ROBOTICS AND AUTOMATION ON SAFETY AND OPERATIONAL PERFORMANCE IN MODERN MINING SYSTEMS
The aim of the research is to assess the applicability of robotics and automation technologies to enhance safety performance and operational efficiency in mining operations in surface, underground, and coal mining settings. A mixed-methods and systematic approach was embraced, which involved the secondary data through peer-reviewed publications, in...
By Parvindar Kaur Chhabda, Arvind Kumar Saxena
EXAMINING DIGITAL TRANSFORMATION AND ECOSYSTEM-CENTRIC MARKETING FOR SUSTAINABLE VALUE CREATION IN THE PLATFORM ECONOMY
The platform economy has been growing rapidly, intensifying digital transformation efforts. Still, most platform companies fail to convert technological investments into sustainable value due to disjointed ecosystem coordination and a short-term marketing focus. This paper will explore the role of ecosystem-based marketing, facilitated by digital t...
By S. Karunakaran, V. Saillaja, R. Suguna, B. Sureshbabu
MEDIAN ATTRIBUTE HYBRID CLUSTERED MODEL USING PARTICLE SWARM OPTIMIZATION FOR NETWORK INTRUSION DETECTION
The rapid growth of cloud-based and large-scale network infrastructures has increased the complexity and frequency of cyber-attacks, demanding efficient and scalable intrusion detection systems (IDS). This paper will also attempt to create a better Network Intrusion Detection System (NIDS) by incorporating a Hybrid Median Attribute Clustering model...
By Rajasekhar Kaseebhotla, Raghava Rao, Mallikarjuna Rao
CYBER-PHYSICAL MICROGRID MANAGEMENT USING EXPLAINABLE AI FOR HIGH RENEWABLE ENERGY PENETRATION
The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...
By Anjali Krushna Kadao, Sanjay Kumar
BILEVEL OPTIMIZED RECURSIVE FEATURE ELIMINATOR FOR CERVICAL CANCER FEATURE SELECTION PROCESS
An immense need has emerged in several areas of biological area for the development of prediction algorithms capable of managing the increasing complexity of high-dimensional information. In developing countries, Cervical Cancer (CC) kills more women than any other disease or accident, and it's the top cause of death among women worldwide. Early de...
By S. Nandhinieswari, A. Indumathi