EFFICIENT AND PRIVACY-PRESERVING IMAGE CLASSIFICATION USING HOMOMORPHIC ENCRYPTION AND CHUNK-BASED CONVOLUTIONAL NEURAL NETWORK

Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network

Abstract Image feature categorization has emerged as a crucial component in many domains, including Shin Guards computer vision, machine learning, and biometrics, in the dynamic environment of big data and cloud computing.It is extremely difficult to guarantee image data security, privacy, and computing efficiency while also lowering storage and tr

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Feminist Identity in Conceptual jewelery: Case study of Contemporary Iranian Women Jewelery Designer (Fatmeh DolatAbadi, Pegah Vedad, Farzaneh Davodian)

Abstract Conceptual jewelry, the result of the "contemporary" paradigm, has provided a platform ORG GHEE for the expression of social and political ideas as well as the active presence of artists by challenging and criticizing the accepted concepts and principles in classical and modern jewelry.It prioritizes conceptual and artistic expression as a

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Early Prediction of the Health Conditions for Battery Cathodes Assisted by the Fusion of Feature Signal Analysis and Deep-Learning Techniques

With rapid development of clean energy vehicles, the health diagnosis and prognosis of lithium batteries remain challenging for practical applications.Accurate state-of-health (SOH) and remaining useful life (RUL) estimation provides crucial information for improving the safety, reliability and longevity of batteries.In this paper, a fusion of deep

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ABrowse - a customizable next-generation genome browser framework

Abstract Background With the rapid growth of genome sequencing projects, genome browser is becoming indispensable, not only as a visualization system but also as an interactive platform to support open data access and collaborative work.Thus a customizable genome browser framework with rich functions and flexible configuration is needed to facilita

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