Multidisciplinary, Business and International Management, Public Health, Environmental and Occupational Health, Health Professions
7
Scopus Publications
Scopus Publications
A Resource-Based View Assessment of Artificial Intelligence and its Impact on Strategic Human Resources Quality Management Systems Dhruva Sreenivasa Chakravarthi, Shaziya Islam, Sangram Singh, Richa Gupta, Melanie Lourens, M. Ravichand, Ivanenko Liudmyla Recent Advances in Management and Engineering, 2024 Artificial intelligence (AI) is advancing quickly and imitating human cognitive abilities. However, during the past few years, AI has made considerable strides and drawn a lot of funding and academic interest. Our study has chosen this prospective field of study in consideration of how human resources functions or jobs will change in the future and how they will react to artificial intelligence. The automotive industry has witnessed significant advancements in recent years, and the utilisation of data collection techniques is one such innovation. This research paper explores the novel application of data collection methods in the automotive industry for the first time. This study uses a mixed-methods strategy that combines qualitative and quantitative approaches. Artificial intelligence was shown to have a considerable beneficial effect on human resources.
Designing and modeling of crowdsourcing for optimizing the public healthcare informatics system in society 5.0 Pankaj Rahi, S. Kuzhaloli, E. Poornima, Dhruva Sreenivasa Chakravarthi, P. Vijayakumar Contemporary Applications of Data Fusion for Advanced Healthcare Informatics, 2023 Technology, communications, and social media have changed emergency and disaster response networks. These developments enable affected citizens to generate georeferenced real-time data on important events, fueling this new landscape. Detecting and investigating such events requires crowdsourcing and machine learning. Crowdsourcing generates, aggregates, and filters data, while automatic tools analyze publicly available data using information retrieval techniques. Crowdsourcing encourages and coordinates large-scale participation in many fields. Crowdsourcing useful data and human computation interchangeable knowledge will help public health informatics soon. These efforts will lower any nation's disease burden and healthcare costs. It advances sustainable development goals and milestones. This chapter proposes crowd-sourcing modeling to improve public health surveillance for communicable and non-communicable diseases. These efforts will lower any nation's disease burden and also improve sustainable development goals.
Design and implementation of a smart healthcare system using blockchain technology with a dragonfly optimizationbased blowfish encryption algorithm Shivlal Mewada, Dhruva Sreenivasa Chakravarthi, S. J. Sultanuddin, Shashi Kant Gupta Data Driven Blockchain Ecosystem Fundamentals Applications and Emerging Technologies, 2022 Because the worth of our health is incalculable, healthcare is one of the most important aspects of our life. However, the present healthcare system lacks excellent service, availability, and convenience of use. Because of its benefits like crypto-security, transparency, data integrity, and a decentralized data network, blockchain technology has been shown to be applicable in almost every field. A smart healthcare system with a blockchain data network delivers transparency, quick and faster access, privacy, reliability, and more in today’s world. This chapter proposes a blockchain based smart healthcare system. Here we use smart contracts for validating the patient data. To verify the data in the blocks Proof of Stake (PoS) consensus protocol is employed. We propose Dragonfly Optimization based Blowfish Encryption algorithm (DO-BEA) that generates multiple keys for encrypting the data. The performance of the proposed system is evaluated and compared with the conventional approaches. The suggested approach has made it easier to store patient information safely and securely in the health-care system. In all circumstances, the information kept has been demonstrated to be reliable and unchanging, and it needs the consent of appropriate authorities. Healthcare becomes more safe, decentralized, automated, and affordable to everyone as a result.
The Future of Blockchain Technology and the Internet of Things in Healthcare Niti Saxena, Dhruva Sreenivasa Chakravarthi, A. Narasima Venkatesh, Nupur Soni, Shashi Kant Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022 Using body sensor networks and other wearable sensors to practise for emergencies is becoming more and more common. If privacy and safety of patients are protected in healthcare systems, then using technology may be helpful. Block chain technology has quickly become a popular research topic on websites like Wikipedia and Google. We look at developments and ideas in the Internet of Things that can be used in the vast majority of situations. The healthcare business has a lot of good reasons to use the Block chain. It has everything that people want: decentralisation, immutability, security, privacy, and being open to everyone. The vast majority of the research is focused on these parts. As part of a plan to improve the efficiency of health care services, the Internet of Things (IoT) and other cutting-edge computer technologies were used. In the next section, the application is explained in great detail. It's no secret that medical professionals are looking into the potential of the Internet of Things (IoT) and Block Chain technology in the areas of medication tracking, remote patient monitoring, storing and retrieving medical data, and managing patient medical records. Also, it's important to note that the challenges of using IoT and blockchain technologies in healthcare systems have been well researched and are now being talked about.
Smart Healthcare System with Light-Weighted Blockchain System and Deep Learning Techniques Randeep Singh, Bilal Ahmed Mir, Lohith J. J, Dhruva Sreenivasa Chakravarthi, Adel R. Alharbi, Harish Kumar, Simon Karanja Hingaa Computational Intelligence and Neuroscience, 2022 A radio communication sensor system is a collection of sensor modules that are connected to one another through wireless communication. It is common for them to be battery-powered and responsive to a nearby controller, referred to as the base station. They are capable of doing basic computations and transferring information to the base station in most scenarios. They are also in charge of transporting data from distant nodes, putting a burden on nodes with limited resources, and contributing to the quick depletion of energy in these nodes in the process. Nodes in close proximity to the base station are responsible for more than only detecting and sending data to the base station; they are also responsible for transmitting data from faraway nodes. To reward nodes that perform well, a protocol known as the Improved Fuzzy Inspired Energy Effective Protocol (IFIEEP) employs three separate sorts of nodes in order to provide more energy to those who do not. It takes into account the remaining node energy, the node's proximity to the base station, the node's neighbor concentration, and the node's centrality in a cluster when determining node viability. All of these assumptions are founded on a shaky understanding of the situation. Adaptive clustering must be applied to the most viable nodes in order to identify cluster leaders and transmit data to the base station, in addition to disseminating data across the rest of the network, in order to achieve success. In addition, the research provides proper heterogeneity parameters, which describe, among other things, the number of nodes as well as the starting energy of each node. The percentage gain in-network lifetime when compared to current approaches is minor for smaller numbers of supernodes; however, the percentage gain in the area covered 12.89 percent and 100% when more significant numbers of super nodes are used. These improvements in stability, residual energy, and throughput are accomplished by combining these improvements while also taking into consideration the previously neglected energy-intensive sensing energy aspect. The protocol that has been presented is meant to be used in conjunction with applications that make use of blockchain technology.
