Mohamed Gebril

TL;DR: A technique which will produce an accurate fused image using discrete wavelet transform (DWT) for feature extraction and using Genetic Algorithms (GAs) to get the more optimized combined image is presented.

TL;DR: In this paper , two nonionic surfactants were prepared followed by structure confirmation using H1NMR, IR and so their surface activity were studied and the application of these compounds in the field of acid corrosion inhibitors was investigated by several empirical and computational methods.

TL;DR: A mixture of feature extraction (FE) and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity in satellite imagery is presented and the experimental results demonstrate satisfactory retrieval efficiency.

TL;DR: The Low Memory Locality Sensitive Hashing technique operating in Euclidean space is used to build a data structure for the Defense Meteorological Satellite Program (DMSP) satellite imagery database and has proven to be approximately twenty six times faster than the Linear Search algorithm.

TL;DR: This paper demonstrates the use of modified Locality Sensitive Hashing (mLSH) technique with Euclidean distance space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database that can be used to find similar satellite image matches in sublinear search time.