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Titlebook: Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques; Hamid Reza Pourghasemi,Mauro Rossi Book 2019 Springer Nature Swit

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Monitoring and Management of Land Subsidence Induced by Over-exploitation of Groundwater,maximum subsidence rate extracted from Small Baseline Subset (SBAS) time series was estimated as 0.4 m/year. The second case study was to monitor the subsidence in the Neyshabour plain. In this area, the interferogram stacking using 9 ENVISAT ASAR images spanning between 2004/01/10 and 2005/06/18 wa
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s traceability or revocability, but not both. In this paper, we proposed a constant-size traceable ABS scheme with verifier-local revocation (VLR) feature and it supports monotone predicate. The scheme is secure in the standard model under well-known cryptographic assumptions.
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Mohsen Zabihi,Hamid Reza Pourghasemi,Alireza Motevalli,Mohamad Ali Zakeriease attack diversity. The framework is able to detect the presence of an attack with 92% accuracy for mixed or multiple attack sources, and further classify the type of perturbation with 78% accuracy keeping the false positive rate at 0%. Overall, this two-stage detection framework is a cost-effect
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Davoud Davoudi Moghaddam,Hamid Reza Pourghasemi,Omid Rahmatient to the inverse function, when it is involved in a block cipher, it has enhanced properties at a better level compared to AES (for example, it has better algebraic and statistical criteria such as periodicity, algebraic complexity, strict avalanche, and distance to SAC) by preserving the same sec
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Paraskevas Tsangaratos,Ioanna Ilia,Constantinos Loupasakiss traceability or revocability, but not both. In this paper, we proposed a constant-size traceable ABS scheme with verifier-local revocation (VLR) feature and it supports monotone predicate. The scheme is secure in the standard model under well-known cryptographic assumptions.
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Andrea G. Fabbri,Chang-Jo Chung” on the road, by broadcasting false position information in the safety messages, must be detected and revoked permanently from the VANETs. The goal of our work is analyzing safety messages and detecting false position information transmitted by the misbehaving nodes. In this paper, we use machine l
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