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Titlebook: Emerging Trends in ICT for Sustainable Development; The Proceedings of N Mohamed Ben Ahmed,Sehl Mellouli,Kwintiana Ane Bern Conference proc

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978-3-030-53442-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Conference proceedings 2021ngineering and urban sciences for sustainable development. .This book covered topics including.• Green Networks .• Artificial Intelligence for Sustainability.• Environment Informatics.• Computing Technologies .
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Moduli Spaces of Abelian Surfaces,tudy the behavior of our classifier in the case of new arrival family. Next, we get inspired from the COVID19 disease outbreak. So we proposed precautions to be made as security measures in case of new malware family appearance. With the goal to reduce damage causes by these kind of attacks.
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https://doi.org/10.1007/978-1-4614-5972-9ing methods is carried out with the optimization of the hyperparameters for a better design of the different models. The results obtained over our private database (High Tech Detection Systems HDTS) composed by dual-energy X-ray luggage scan images showed a perfect object detection without practically any false detection.
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Dimini – Diabetes mellitus? Ich nicht!osed antenna structures or the environment under consideration. These parameters have a remarkable effect on the Channel Orthogonality (CO) and the performance of the multi-polarized system. The one-dimensional structure is more promising for 5G and suggests a suitable choice for the new generation of cellular networks.
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What Is Intersemiotic Legal Translation?,ensors so that the path loss can be reduced. The proposed scheme is based on transposing of the sensors used on the human body. Path loss is reduced based on its distance parameter using the Euclidean distance algorithm.
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Proposed Precautions for Newborn Malware Family Inspired from the COVID19 Epidemic Outbreaktudy the behavior of our classifier in the case of new arrival family. Next, we get inspired from the COVID19 disease outbreak. So we proposed precautions to be made as security measures in case of new malware family appearance. With the goal to reduce damage causes by these kind of attacks.
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Comparative Study of Supervised Machine Learning Color-Based Segmentation for Object Detection in X-ing methods is carried out with the optimization of the hyperparameters for a better design of the different models. The results obtained over our private database (High Tech Detection Systems HDTS) composed by dual-energy X-ray luggage scan images showed a perfect object detection without practically any false detection.
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Modeling and Performance Analysis for Transportation Systems of ULA and UCA Massive-MIMO Basing on Sosed antenna structures or the environment under consideration. These parameters have a remarkable effect on the Channel Orthogonality (CO) and the performance of the multi-polarized system. The one-dimensional structure is more promising for 5G and suggests a suitable choice for the new generation of cellular networks.
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