Sign language is a vital mode of communication for the deaf and dumb community. This research presents a robust and real-time Gesture-Based Sign Language Detection System that leverages computer vision and deep learni...
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India's agricultural sector is the backbone of the country, yet there are inefficiencies, a lack of transparency, and unequal farmer prices in its supply chain. Issues including inadequate market accessibility, in...
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ISBN:
(纸本)9798331540364
India's agricultural sector is the backbone of the country, yet there are inefficiencies, a lack of transparency, and unequal farmer prices in its supply chain. Issues including inadequate market accessibility, inadequate infrastructure, and insufficient value addition exacerbate these challenges, especially for small and marginal farmers. Stakeholder collaboration is occasionally lacking in traditional supply chain systems, which leads to uneven farmer compensation and inefficient product delivery to consumers. Information and communication technologies (ICT) have been used to solve these problems in the past, but scalability, data security, and cost-effectiveness have all been shown to be lacking. With its core characteristics of automation, security, and transparency, blockchain technology presents a viable substitute. Blockchain technology can be used in the agricultural supply chain, but there are a number of obstacles to overcome, such as high implementation costs, complicated technology, and a need for major stakeholder engagement. This study investigates how blockchain technology could resolve these problems and transform India's agricultural supply chain. The goal is to create a system that leverages smart contracts to improve product traceability, increase trust, and automate procedures. Additionally, the study looks at certain blockchain applications including payment automation and farm-to-customer monitoring that make use of ***, Ganache, Truffle, and MetaMask technologies. This paper offers a thorough evaluation of earlier studies and offers a method for building an agricultural ecosystem that is more open, effective, and sustainable and that benefits supply chain participants, farmers, and consumers. The development of a blockchain-based software program is the main objective of this project, which attempts to increase the efficiency and transparency of the agricultural supply chain. No direct model comparisons have been done because the effort fo
The escalating concern of underwater debris demands innovative approaches for effective ocean cleanup. This study presents a comprehensive framework utilizing deep learning methods to detect, categorize, track, and ge...
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The increasing number of surveillance cameras to watch over human activities necessitates the development of a system that can automatically identify violent and suspicious events. This is an essential piece of equipm...
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Diffusion models have recently proven successful in stochastic human motion prediction. Despite their excellent generative performance, they are difficult to predict in real-time because the multi-step sampling mechan...
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Detecting protein complexes holds paramount importance in elucidating cellular organization and protein functionalities. Over the past decade, numerous approaches have centered their attention on the topological intri...
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With the increasing diversity and complexity of malicious code, the threats posed by malicious code are continuously growing, making malicious code detection increasingly challenging. Currently, researchers typically ...
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The intersection of predictive maintenance and Automated Machine Learning (AutoML) ushers in a transformative era for industrial optimization, wherein the foresight of equipment failures becomes both attainable and ac...
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In today's industrial sector, the efficient monitoring of safety compliance is essential. The number of industrial accidents has been on the rise and this study proposes an alternate approach to traditional monito...
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Heart failure is a major problem which affects many people across the *** paper proposes an integrated architecture combining advanced predictive modeling for the risk assessment of heart failure and medication recomm...
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