Electrical and Electronic Engineering, Computer Engineering, Computer Networks and Communications, Engineering
6
Scopus Publications
Scopus Publications
Open challenges: Research opportunities in healthcare sectors using metaverse M. K. Nivodhini, R. Banupriya, S. Vadivel, P. Vasuki Examining the Metaverse in Healthcare Opportunities Challenges and Future Directions, 2024 Challenges include technological integration with existing healthcare systems, ensuring user experience and adoption, safeguarding data security and privacy, addressing ethical dilemmas and biases, bridging the digital divide for accessibility, validating effectiveness through evidence-based practice, navigating regulatory compliance, promoting health equity, overcoming technical limitations, and ensuring long-term sustainability and cost-effectiveness. Research opportunities abound, spanning virtual clinics and telemedicine for remote consultations, immersive medical education and training environments, remote monitoring and tele-rehabilitation programs, leveraging the immersive nature of the Metaverse for health behavior change and wellness initiatives, innovative data visualization and analysis techniques, patient-centered engagement strategies, addressing ethical and regulatory considerations, designing inclusive virtual experiences, fostering collaborative research endeavors, and evaluating the long-term impact and scalability of Metaverse-enabled healthcare interventions.
Blockchain and its role in leadership Nivodhini M. K., Vadivel S., Vasuki P., Banupriya S. Impact of New Technology on Next Generation Leadership, 2024 Blockchain technology revolutionizes leadership through transparency, accountability, and decentralization. By providing an immutable ledger, it enhances transparency, fostering trust. Its decentralized nature ensures accountability, empowering individuals and challenging traditional hierarchies. Secure data management safeguards sensitive information. Automation streamlines processes, fostering collaboration. Tokenization creates incentive mechanisms. Overall, blockchain empowers leaders to navigate modern complexities with transparent, accountable, and decentralized approaches.
Deep learning frameworks in the healthcare industry M. K. Nivodhini, P. Vasuki, R. Banupriya, S. Vadivel Driving Smart Medical Diagnosis Through AI Powered Technologies and Applications, 2024 Applications of deep learning extend to electronic health records (EHR) and predictive analytics, where theoretical models decipher patterns within vast datasets, enabling personalized healthcare strategies and disease progression predictions. Theoretical underpinnings of natural language processing (NLP) in healthcare are explored, emphasizing how algorithms theoretically improve clinical documentation, voice recognition, and patient interaction through virtual assistants. The theoretical exploration of issues such as data privacy, algorithmic bias, and interpretability highlights the complexities of responsibly deploying deep learning in medical decision-making. Personalized medicine, continuous monitoring, and improved disease prognosis emerge as theoretical directions, presenting collaborative opportunities between the technology industry, healthcare providers, and researchers. This abstract encapsulates the theoretical journey, illuminating the potential for enhanced diagnostics, treatment, and patient outcomes.
POWER EFFICIENT IMPLEMENTATION OF ECC USING LCSLA BASED DUAL FIELD VEDIC MULTIPLIER Senthil Sengottaiyan, Vadivel Subramaniam, Yuvaraja Thangavel, Karthick Sekar Comptes Rendus De L Academie Bulgare Des Sciences, 2023 The Elliptic Curve Cryptographic (ECC) technique is employed for security standards such as Security Key Management (SKM), digital signature, data authentication and so on. The ECC technique is capable of sequential and parallel mode processes through a unified design. It is used for both equally binary fields and prime fields of cryptosystems. The DMM structure has been developed using CSA. This adder requires a greater amount of Full Adder circuits, which occupy more area. To overcome this problem, this paper discusses four different methods, such as DMM-Optimized Carry Look Ahead Adder, DMM-Optimized Carry Bypass Adder, DMM-Look up Table Carry Select Adder, and Dual Field Vedic Multiplier – LCSLA, which is used to increase the performance of the ECC. The parameters like power utilization, time delay information, and hardware area overhead are analyzed and compared with existing methods. Among those four methods, the DVM-LCSLA method gave better results in FPGA and ASIC performances.
