The study proposes a smart food supply chain monitoring system using Internet of Things (IoT) to detect food adulteration in real time, predict the freshness of food and ensure the food safety in a distributed food supply chain. The framework relies on the multimodal IoT sensing, edge computing, hybrid CNN–LSTM deep le...
Vandana Ahuja, P. Nagarathna, Ansuman Samal et al.· Advances in computational in...· 0 citations
Most existing systems have sufficient data integrity but lack appropriate communication and decision-making methods that allow for timely responses to change. This paper discusses the use of a blockchain-based design as a method for overcoming these limitations by utilizing secure communication protocols and smart evid...
Divyanshu Sinha, Hastimal Jangid, G. Radha Krishna Murthy et al.· Advances in wireless technol...· 0 citations
The proposed chapter suggest a highly complex machine learning crime prediction model on an intelligent heterogeneous policing network, which will have to consider dynamic environment, multimodal, and real-time decision-making. A deep learning (CNN LSTM) hybrid architecture that is founded on graph neural networks and...
Pradeep Sambamurthy, Sanjeev Gour, S. Vamsee Krishna et al.· Advances in wireless technol...· 0 citations
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