DESIGN AND IMPLEMENTATION OF AN AI-BASED MEDICAL ANALYTICS FRAMEWORK EMPLOYING DEEP NEURAL NETWORKS AND ADVANCED MACHINE LEARNING MODELS FOR PRECISION HEALTHCARE
The digitalization of healthcare is fast, bringing about abundant and diverse medical data with novel opportunities to bring precise healthcare with the help of artificial intelligence (AI) associated analytics. Traditional methods of data analysis in medical fields frequently do not describe nonlinear and complex relationships in multimodal clinic...
By B. Senthilkumaran, Gajraj Singh, Ali Bostani, S. Krithika, Zarina Khalbayeva, R. Ushasree, P. Nanthini
AN AI-DRIVEN DIGITAL TWIN FRAMEWORK LEVERAGING ONTOLOGIES, INTELLIGENT DATA MANAGEMENT, AND SIMULATION FOR SECURITY AND RESILIENCE IN 6G NETWORKS
The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...
By P. Karunakaran, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar
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
PRECISION STOCK MARKET TREND ANALYSIS WITH HYBRID SMOOTH SVM AND WEIGHED VULTURE OPTIMIZATION
Accurate prediction of stock market trends remains a challenging task due to high volatility, non-linearity, and the dynamic nature of financial time series data. Conventional statistical and machine learning typically do not provide consistent performance due to the fixed hyperparameter settings and the inability to adapt to a shifting market situ...
By N. Subalakshmi, M. Jeyakarthic, V. Mohanaselvam
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
CONTEXT-AWARE RULE-BASED MATH EXPRESSION NORMALISER AND VERBALIZER USING LATEX2TEXT FOR ENHANCED DOCUMENT PREPROCESSING
Blind students usually are subjected to a substantial impediment of reading and accessing electronic documents, especially data that are noisy and those that are carefully designed. Traditional NLP models severely underestimate or misinterpret mathematical expressions in which symbols are represented as notation. It is a critical problem in the edu...
By J. Joice, C. Sathya
ENHANCING WORKPLACE SATISFACTION THROUGH AI: MACHINE LEARNING STRATEGIES FOR EMPLOYEE ENGAGEMENT
This study looks into how artificial intelligence (AI), especially machine learning (ML), might improve workplace satisfaction and employee engagement among mid-level IT professionals in Bangalore. The report examines the strategic uses of AI in digital trust systems, employee profiling, and predictive analytics, based on a structured survey of 434...
By Amthul Naseeb, S. Ramesh Babu, Jalaja Anilkumar, Mounica Vallabhaneni, Indumathi, N. Venkatarathnam, S. Mahabub Basha
ENHANCED INDUSTRIAL VISION SYSTEM BASED TEXTURE CLASSIFICATION USING DCTP AND DPNN MODELS
The paper will discuss the issues with industrial vision systems in detecting defects, especially in the manufacturing of tyres, where changes in exterior light and distortion will compromise the accuracy of defect detection. The suggested scheme combines Directional Convoluted Ternary Pattern (DCTP) in the extraction of texture features and Distri...
By N.P. Rajeswari, M. Vijay
BLOCKCHAIN SECURED SUPPLY CHAIN TRACEABILITY SYSTEM FOR PHARMACEUTICAL MANUFACTURING USING IOT AND CLOUD
This paper outlines the design and development of a blockchain-secured pharmaceutical supply chain traceability system that uses IoT and cloud computing to overcome the major problems in pharmaceutical manufacturing, including counterfeiting, fraud, and regulatory compliance. The system consists of IoT equipment, such as RFID tags, environmental se...
By Sapna Bawankar, Roohee Khan, Sindhusaranya Balraj
DIGITAL TRANSFORMATION OF PROJECT AND OPERATIONS MANAGEMENT IN SMART INFRASTRUCTURE AND ENGINEERING ENTERPRISES
The fast development of Industry 4.0 has forced a shift in paradigm in the management of complex infrastructure projects in engineering enterprises. The presented study will examine the concept of the digital transformation (DT) of project and operations management with the emphasis on the incorporation of smart technologies into the conventional e...
By Sandeep Soni, Rajvir Saini