Pushpendra Singh Sisodia

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In this paper, we have compared the accuracy of four supervised classification as Mahalanobis, Maximum Likelihood Classification (MLC), Minimum distance and Parallelepiped classification with remote sensing Landsat images of different time period and sensors. We have used Landsat Multispectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic(More)
Efficiently searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem with applications in many domains. The high dimensionality of the data makes the analysis very challenging. To solve this problem, many dimensionality reduction methods have been proposed. PCA (Piecewise Constant(More)
Cryptography and complexity theory have gained a lot of importance because of zero-knowledge proofs. The motive behind zero-knowledge proofs are to provide an obfuscation to the verifier, so that the verifier will not understand the information sent by the prover. Zero-knowledge proofs are normally used to verify a prover's theorem to a verifier, in such a(More)
Wireless sensor networks (WSNs) has made a remarkable improvement in hardware design, resource efficiency, communication and routing protocols, and other aspects thereby, making it widely used in the current decade. Nowadays, people started preferring mobile nodes in the place of static nodes, which brought mobile sensor network into focus. Current position(More)
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