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Computing & Information Sciences

Discovering new, innovative methods and research opportunities in solving complex present-day and future computing challenges.

Land-use classification from multiple data sources is an important problem in remote sensing. Data fusion algorithms like Semi-Supervised Manifold Alignment (SSMA) and Manifold Alignment with Schroedinger Eigenmaps (SEMA) use spectral and/or spatial features from multispectral, multimodal imagery to project each data source into a... READ MORE
Knowing the impact of bad programming practices or code smells has led researchers to conduct numerous studies in software maintenance. Most of the studies have defined code smells as bad practices that may affect the quality of the software. However, most of the existing research... READ MORE