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Titlebook: Distributed Sensing and Intelligent Systems; Proceedings of ICDSI Mohamed Elhoseny,Xiaohui Yuan,Salah-ddine Krit Conference proceedings 202

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https://doi.org/10.1057/9780230270329fferent multispectral images collected by different tools. The results obtained have shown that we can process 400 frames/s, in the case of low resolution and 30 frames/s in the case of high resolution, which will allow us to process a sequence of images in real time.
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https://doi.org/10.1057/9780230270329gical gradient algorithm to detect the contours of the digits. This model is applied to the database of Arabic manuscript digits available on Kaggle (Arabic Handwritten Digits Dataset), which consists of 70,000 images. The classification accuracy of the model was 99.9% with a very minimum loss of 0.09%.
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Elliptic Curve Cryptography (ECC) for a Lightweight Public Key Infrastructure (PKI),technology for certificate revocation. Then we propose a new approach for a lightweight PKI based in elliptic curve cryptography (ECC); furthermore, we present a public key infrastructure model for certificate revocation, as well we elaborate the deployment of the presented Model.
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Metrics in Precision Agriculture Using Multispectral Images: Review and Evaluation,fferent multispectral images collected by different tools. The results obtained have shown that we can process 400 frames/s, in the case of low resolution and 30 frames/s in the case of high resolution, which will allow us to process a sequence of images in real time.
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Deep Morphological Gradient for Recognition of Handwritten Arabic Digits,gical gradient algorithm to detect the contours of the digits. This model is applied to the database of Arabic manuscript digits available on Kaggle (Arabic Handwritten Digits Dataset), which consists of 70,000 images. The classification accuracy of the model was 99.9% with a very minimum loss of 0.09%.
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Influence of Management Aspects on the Performance of Energy-Efficient Activities,in the development and implementation of the SDGs are analyzed, the role and influence of the smart city concept in this process is noted. The analysis of the energy efficiency of the project in the town of Babai, Kharkiv region, Ukraine on the modernization of street lighting is carried out. The dy
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Detection of the Black Hole Attack on SDN-Based VANET Network,ral issues linked to the attacks that can occur and may affect the efficiency and the reliability of the system. To get rid of the restriction and make VANET systems more efficient Software-Defined Networking (SDN) technology is introduced (SDN-based VANET). The communication of data that provide in
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