Technology development has considerably increased the collection and storage of biological data. Nevertheless, the challenge of transforming such data into information, prevails. Such transformation demands the involvement ...

Wireless Sensor Network (WSN) is a wireless networking technology that can facilitate many important applications in our real life, from environmental monitoring to smart grid, and thus is a key component in the emerging ...

Many modern applications of automatic document classification require learning accurately with little training data. Addressing the need to reduce the manual labeling process, the semi-supervised classification technique ...

The structure tensor for vector valued images is most often defined as the average of the scalar structure tensors in each band. The problem with this definition is the assumption that all bands provide the same amount ...

This dissertation proposes a spatially adaptive constrained Nonnegative Matrix Factorization (sacNMF) for unmixing of hyperspectral imagery. The image is decomposed into spectrally homogeneous regions using quadtree region ...

This dissertation presents a novel approach to sharing situational awareness among a group of geographically dispersed mobile networked devices. We divide our efforts into two parts: getting the information to the right ...

Recently databases are increasing continuously without bound, due to new data acquisition technologies. One challenge is how to gain knowledge from these large data sets. In this thesis, we analyze and improve the algorithmic ...

In this dissertation the mathematical modeling of Cosserat elastic plates and their Finite Element computation are presented. The mathematical model for bending of Cosserat elastic plates, which assumes physically and ...

Knowledge Discovery in Databases (KDD) is the nontrivial extraction of implicit, previously unknown and potentially useful information from data. Data preprocessing is a step of the KDD process that reduces the complexity ...

In hyperspectral imaging, hundreds of images are taken at narrow and contiguous spectral bands providing us with high spectral resolution spectral signatures that can be used to discriminate between objects. In many ...