Maintaining the Maximal Independent Set (MIS) in dynamic graphs is crucial for applications like resource allocation, load balancing, and network optimization. Traditional approaches require complete re-computation, m...
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Pulses are one of the most important food crops in the world due to their higher protein content, approximately 21%-25%. Therefore, it is crucial to analyze the crop's quality and impurity levels. Stones, pebbles,...
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This research presents a novel method of automatic video summarising and note-generating using Natural Language Processing (NLP) and audio recognition techniques. The exponential rise in internet video footage has inc...
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This research provides a proposal to integrate blockchain technology with a web application to come up with a solution for the fund management issues that the temples face. The main purpose of the research is to solve...
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While machine learning (ML) models can be trained on large amounts of data, their applicability in critical domains such as cyber-attacks and clinical applications is still limited. Recent research suggests that ML mo...
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Mobile devices within Fifth Generation(5G)networks,typically equipped with Android systems,serve as a bridge to connect digital gadgets such as global positioning system,mobile devices,and wireless routers,which are v...
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Mobile devices within Fifth Generation(5G)networks,typically equipped with Android systems,serve as a bridge to connect digital gadgets such as global positioning system,mobile devices,and wireless routers,which are vital in facilitating end-user communication ***,the security of Android systems has been challenged by the sensitive data involved,leading to vulnerabilities in mobile devices used in 5G *** vulnerabilities expose mobile devices to cyber-attacks,primarily resulting from security ***-permission apps in Android can exploit these channels to access sensitive information,including user identities,login credentials,and geolocation *** such attack leverages"zero-permission"sensors like accelerometers and gyroscopes,enabling attackers to gather information about the smartphone's *** underscores the importance of fortifying mobile devices against potential future *** research focuses on a new recurrent neural network prediction model,which has proved highly effective for detecting side-channel attacks in mobile devices in 5G *** conducted state-of-the-art comparative studies to validate our experimental *** results demonstrate that even a small amount of training data can accurately recognize 37.5％of previously unseen user-typed ***,our tap detection mechanism achieves a 92％accuracy rate,a crucial factor for text *** findings have significant practical implications,as they reinforce mobile device security in 5G networks,enhancing user privacy,and data protection.
The lattice-based post-quantum cryptography scheme is widely regarded as one of the most secure solutions to address the emerging threats posed by advancements in quantum computing. Various groups have analyzed and st...
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This paper presents the outcomes of two key projects dedicated to the enhancement of modern transportation infrastructure and communication technology. The first project introduces a web-based application for toll tax...
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Sentiment analysis, a fundamental aspect of Natural Language Processing (NLP), involves the classification of emotions, opinions, and attitudes in text data. In the context of India, with its vast linguistic diversity...
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Cancer detection is critical for early diagnosis and treatment, and non-invasive imaging methods like microwave imaging have shown promise in this domain. This research presents a CNN-based machine learning model to i...
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