A HYBRID MACHINE LEARNING AND DEEP LEARNING ARCHITECTURE FOR AUTOMATED MEDICAL DIAGNOSIS USING HIGH-DIMENSIONAL CLINICAL AND BIOMEDICAL DATA
The speed of the electronic healthcare system, clinical information system, and biomedical sensing technologies has resulted in the creation of extremely huge high-dimensional and heterogeneous medical data. Such data have substantial potential to automatically diagnose diseases, but are difficult to use because they are feature redundant, nonlinea...
By Komal Saxena, M. Praneesh, S. Nancy Lima Christy, K. Nandhini, Tolib Rajabov, M. Nalini, Shalu Gupta
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. Karunakaran1, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar
AN ADVANCED MULTIMODAL AI FRAMEWORK FOR EARLY BRAIN STROKE DETECTION USING HYBRID FEATURE SELECTION, ENSEMBLE MODELS, AND REINFORCEMENT LEARNING
The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...
By D. Ushasree, A.V. Praveen Krishna, Ch. Mallikarjuna Rao, D.V. Lalita Parameswari
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
THE MODEL OF GREEN ENTREPRENEURSHIP FACTORS ON THE INTERNATIONALIZATION PERFORMANCE OF SMES IN CHINA: A CONCEPTUAL FRAMEWORK
Purpose: The study aims to establish the connection between green entrepreneurship variables, environmental management, green technologies, green commitment of individuals, and the environmentally sustainable workforce, and the performance of internationalization of the SME in China. It further examines the mediating position of eco-...
By Wang Jing Hui, Noor Afzainiza Afendi, Muhamad Ali Imran Bin Kamarudin
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...
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
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
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
INNOVATIVE ENERGY STORAGE SOLUTIONS FOR ENHANCING RENEWABLE ENERGY EFFICIENCY
Energy storage has been central in improving the effectiveness and sustainability of renewable energy systems. With the increased penetration of renewable energy sources like solar energy and wind energy, the intermittent nature of these sources prompts a need to consider the incorporation of highly developed storage energy technologies in order to...
By Shinki Katyayani Pandey, Mariyam Ahmed