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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions.
Sci Rep
January 2025
PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia.
With the advancement of this digital era and the emergence of DApps and Blockchain, secure, robust and transparent network transaction has become invaluable today. These traditional methods of securing the transactions and maintaining transparency have encountered many challenges. It includes some such issues as follows: data privacy, centralized vulnerability, inefficiency in fraud detection and much more.
View Article and Find Full Text PDFBidCorpus: A multifaceted learning dataset for public procurement.
Data Brief
February 2025
Federal University of Maranhão. Av. dos Portugueses, 1966 São Luís, Maranhão, Brazil.
Digital transformation has significantly impacted public procurement, improving operational efficiency, transparency, and competition. This transformation has allowed the automation of data analysis and oversight in public administration. Public procurement involves various stages and generates a multitude of documents.
View Article and Find Full Text PDFSimultaneous Detection of Eight Dairy-Derived Components Using Double-Tube Multiplex qPCR Based TaqMan Probe.
Foods
October 2024
State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Haidian District, Beijing 100193, China.
The authentication of milk and dairy products has great significance for food fraud. The present investigation entailed the development of a novel method that amalgamates the double-tube approach with multiplex real-time polymerase chain reaction (PCR) technology, incorporating TaqMan probes, to facilitate the high-throughput screening and detection of animal-derived constituents within milk and dairy products. Eight dairy-derived animal-specific primers and probes were designed for the mitochondrial () gene of eight dairy products, including cow, buffalo, yak, goat, sheep, horse, donkey, and camel.
View Article and Find Full Text PDFBlockchain-enabled verification of medical records using soul-bound tokens and cloud computing.
Sci Rep
October 2024
PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia.
The Crucial and costly process of verifying medical documents frequently depends on centralized databases. Nevertheless, manual validation of document verification wastes a great deal of time and energy. The application of Blockchain technology could potentially alleviate the problem by reducing fraud and increasing efficiency.
View Article and Find Full Text PDFA review of the emerging technologies and systems to mitigate food fraud in supply chains.
Crit Rev Food Sci Nutr
October 2024
Tasmanian Institute of Agriculture (TIA), University of Tasmania, Hobart, TAS, Australia.
Food fraud has serious consequences including reputational damage to businesses, health and safety risks and lack of consumer confidence. New technologies targeted at ensuring food authenticity has emerged and however, the penetration and diffusion of sophisticated analytical technologies are faced with challenges in the industry. This review is focused on investigating the emerging technologies and strategies for mitigating food fraud and exploring the key barriers to their application.
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