The IoMT is a device that works with different healthcare systems to help develop networking technologies. It reduces the unnecessary burden of visiting the hospital. Instead, it enables the transfer of medical relate...
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Effective or efficient management of e-waste is considered as preeminent vital challenges of the modern days. The massive scale of e-waste generated and dumped in open landfills or oceans without proper treatment pose...
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This research paper investigates the combination of cutting-edge deep learning architectures, specifically the Swin Transformer, with conventional feature extraction methods, such as the Scale-Invariant Feature Transf...
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With the proliferation of vehicles in urban areas, parking congestion has become an escalating problem that necessitates effective solutions. This study investigates the implementation and assesses the effectiveness o...
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In this paper, we discuss a technique for run-time control flow model extraction of Java application with the help of domain-specific language for instrumentation (DiSL) and Java interactive visualization environment ...
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Pneumonia has been a concerning issue worldwide. This infectious disease has a higher mortality rate than Covid-19. More than two million individuals lost their lives in 2019 out of which almost 600,000 were infants l...
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From dreamscapes to photorealistic portraits, text-to-image generation pushes the boundaries of AI creativity. This survey navigates diverse techniques, such as GANs, VAEs, and Diffusion models, uncovering their poten...
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The integration of Artificial Intelligence (AI) with the Internet of Things (IoT) has transformed numerous domains through the AI of Things (AIoT). Nonetheless, AIoT encounters issues related to energy usage and carbo...
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The integration of Artificial Intelligence (AI) with the Internet of Things (IoT) has transformed numerous domains through the AI of Things (AIoT). Nonetheless, AIoT encounters issues related to energy usage and carbon emissions as mobile technology continues to progress. Generative AI (GAI) possesses significant potential to mitigate carbon emissions associated with AIoT, owing to its higher reasoning and generative powers. Conventional security protocols frequently encounter issues with computational efficiency, latency, and overall security comprehensiveness. Blockchain technology, characterized by its decentralized and immutable properties, is a viable approach for improving electronic healthcare data transmission and node authentication in IoT networks. This research examines secure data transmission and node encryption in IoT systems, with a particular emphasis on data management. Conventional approaches encounter constraints in computational efficiency, latency, and comprehensive security. This study presents a novel protocol that combines GAI and blockchain technology with quantum encryption to enhance authentication and ensure secure data transmission. The algorithm comprises multiple consecutive processes, including the encoding and transmission of node requests, followed by the authentication process utilizing hash functions and digital signatures. The authentication approach utilizes a challenge-response technique, guaranteeing that only nodes with authentic credentials can advance. Thereafter, a dynamic key exchange protocol and quantum encryption method provide secure data delivery. The results indicate the procedure’s effectiveness in ensuring secure and regulated access to patient data, underscoring its significance in medical facilities. The system’s functionalities are augmented by a thorough evaluation employing machine learning. The findings indicate that the system exhibits an accuracy of 99.4%, precision of 99.10%, recall of 98.66%, F1-score of
A planar array design is required to satisfy several performance metrics of application to be supported. There are at least two performance metrics that generally can be fulfilled by a planar array, namely radiation p...
Software fault prediction is critical to ensuring system reliability and user satisfaction while minimizing financial losses. This research paper presents a novel and comprehensive technique for predicting software fa...
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