Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122512 - 122512
Published: April 3, 2023
Language: Английский
Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122512 - 122512
Published: April 3, 2023
Language: Английский
Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 175
Published: Feb. 14, 2024
This chapter thoroughly investigates the revolutionary use of blockchain technology in administration medical data. Blockchain integration has become a disruptive force era digital health records, with potential to completely revolutionize how healthcare organizations manage, trade, and safeguard The main objective is analyze blockchain's complex role transforming data management. foundations management are among important subjects addressed; this section introduces technology's basic ideas, composition, operation. Examining improves security privacy takes up much chapter. analysis focuses on breaks down conventional boundaries silos enable smooth interchange across heterogeneous systems. difficulties real-world applications implementing rounds off
Language: Английский
Citations
71Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141263 - 141263
Published: Feb. 14, 2024
Language: Английский
Citations
41International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 271, P. 109198 - 109198
Published: March 3, 2024
Language: Английский
Citations
30Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 188, P. 103613 - 103613
Published: June 15, 2024
Language: Английский
Citations
29Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: 98, P. 102153 - 102153
Published: Jan. 6, 2025
Language: Английский
Citations
2Sustainable Machine Intelligence Journal, Journal Year: 2023, Volume and Issue: 3
Published: June 25, 2023
In today's rapidly evolving business landscape, the convergence of sustainable supply chain management (SSCM) and machine intelligence, encompassing artificial intelligence (AI) learning (ML), represents a dynamic transformative nexus. This comprehensive survey paper navigates intricate terrain practices, delving into its principles, challenges, pressing need for organizations to embrace environmental responsibility, ethical sourcing, social equity. Simultaneously, it explores disruptive potential offering insights underlying vast applications, pivotal role in optimizing operations. Through systematic analysis, this uncovers complex interplay between SSCM starting with foundational principles each discipline. It then scrutinizes challenges encountered integrating sustainability, including data complexities, dilemmas, skilled personnel. Conversely, illuminates myriad opportunities that arise from synergy, enhancing demand forecasting inventory fostering sourcing practices reducing waste. closing, anticipates future landscape chains age highlighting emerging trends, technological innovations, considerations will shape trajectory field. is our hope serves as valuable resource businesses, policymakers, researchers alike, inspiring pursuit environmentally responsible, economically viable, ethically sound an increasingly interconnected world.
Language: Английский
Citations
35Sustainability, Journal Year: 2023, Volume and Issue: 15(3), P. 2579 - 2579
Published: Jan. 31, 2023
The availability of food in a country and the capacity its citizens to access, acquire, receive enough are both referred as having security. A crucial component security is ensuring maintaining safe high-quality goods, which supply chain process should take into due deliberation. To enhance chain, organic wholesome items be encouraged. Although packaged goods evaluated approved by legal authorities, there no mechanism place for testing assessing market’s available on regular basis. As result, manufacturers compelled provide nutritious healthy products. In this research, we propose an explainable artificial intelligence-based faster regions with convolutional neural networks (XAI-based Faster RCNN) model evaluate contents through user-friendly web-based front-end design QR code. validate each communication token network, elliptic curve integrated encrypted scheme (ECIES) based blockchain technology utilized. Additionally, rabbit optimization (ARO) used register user assign him key. will gain deeper understanding machine learning (ML) AI applications using XAI technique. An EAI-based RCNN proposed help digitize information about products, rapidly retrieve information, discover any hidden quick response (QR) code that could have impacted safety quality food. results experiments indicated method requires less time than other existing methods increase payload users. Shapley additive explanation obtain plea laboratory test nutritional present benefits provided ECIES-based assist policymakers, manufacturers, merchants efficient decision-making, minimizing public health hazards, improving welfare. This paper also shows accuracy achieved reached 99.53%, lowest processing time.
Language: Английский
Citations
33Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 196, P. 122837 - 122837
Published: Sept. 20, 2023
Language: Английский
Citations
30Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 427, P. 138900 - 138900
Published: Oct. 10, 2023
Language: Английский
Citations
25Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6
Published: April 26, 2024
Healthcare is a critical area where blockchain technology (BT) being heralded as potential game-changer for facilitating secure and efficient data sharing. The purpose of this review to examine BT applications, performance challenges, solutions in healthcare. To begin, This paper explores popular networks exchange, encompassing both public permissioned platforms, such Ethereum Hyperledger Fabric. analyzes the applications BT’s decentralized, immutable, smart contract capabilities healthcare settings, including interoperable health patient consent management, drug supply chain oversight, clinical trial management. industry might greatly benefit from increased privacy, transparency, accessibility that these technologies provide. Despite promising medical uses, not without its drawbacks. High energy consumption, throughput, scalability are all concerns. We wrapped up by discussing have been implemented, consensus processes, measures like sharding, off-chain transactions designed mitigate
Language: Английский
Citations
14