This study explores the application of thermal imaging in breast cancer diagnostics, presenting a novel methodology that integrates pre-processing techniques and Convolutional Neural Networks (CNN) for the classificat...
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The field of plant care has seen significant advancements with the increasing application of artificial intelligence (AI) and machine learning (ML) techniques across various domains. This review explores the integrati...
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Trustworthy verification of bank checks is crucial for modern financial transaction security and the prevention of fraudulent activities. A novel approach to the authentication and categorization of bank check signatu...
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This paper presents the findings of a comprehensive survey conducted among diverse age groups to investigate their experiences with food consumption outside the home, their perceptions of the need for enhanced food sa...
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Quantifying the nucleation processes involved in liquid-vapor phase-change phenomena,while dauntingly challenging,is central in designing energy conversion and thermal management *** technological advances in the deep...
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Quantifying the nucleation processes involved in liquid-vapor phase-change phenomena,while dauntingly challenging,is central in designing energy conversion and thermal management *** technological advances in the deep learning and computer vision field offer the potential for quantifying such complex two-phase nucleation processes at unprecedented *** leveraging these new technologies,a multiple object tracking framework called“vision inspired online nuclei tracker(VISION-iT)”has been proposed to extract large-scale,physical features residing within boiling and condensation ***,extracting high-quality features that can be integrated with domain knowledge requires detailed discussions that may be field-or case-specific *** this regard,we present a demonstration and discussion of the detailed construction,algorithms,and optimization of individual modules to enable adaptation of the framework to custom *** concepts and procedures outlined in this study are transferable and can benefit broader audiences dealing with similar problems.
Traditional cryptographic frameworks are seriously threatened by the quick development of quantum computing, especially those that depend on public-key cryptosystems like RSA and ECC. Post-quantum cryptography (PQC) s...
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A new era of networking has emerged due to the easy access of social networks. People can share a lot of information using online social networks. Some of the widely used social networks are Twitter, Facebook, Google+...
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With the growing interest and ease of communication, the number of people using various social networks to disseminate information daily has increased exponentially. Social networking platforms have experienced expone...
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Data security is becoming increasingly important as cloud computing advances. Data security is the fundamental problem of all distributed computing systems. Cloud computing enables access to distributed applications a...
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In today's digital landscape, Web Real-Time Communication (WebRTC) stands as a cornerstone for integrating video calling functionalities into web applications. However, ensuring a seamless and high-quality video c...
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