Digital twins have the potential to leverage AI in buildings. The quality of algorithms is dependent on input data and its preprocessing. This paper discusses using semantic web technologies preprocessing tasks. After reviewing state-of-the-art initiatives this field, a integration method introduced based technologies. integrated used approaches find outliers missing values time series two simi...

Statement of Scope and Purpose. This is a comprehensive study of preprocessing in DEA. The purpose is to provide tools that will reduce the computational burden of DEA studies especially in large scale applications. Abstract. We collect, organize, analyze, implement, test, and compare a comprehensive list of ideas for pre-processors for entity classification in DEA. We limit our focus to proced...

Face color information can play an important role in face recognition (FR) and it can be used to considerably improve FR performance obtained using only grayscale images. The color-based FR methods involve a preprocessing step where a color image is converted into either a monochromatic image or an image having a different color representation. In practical FR systems, the recording or transmis...

This study proposes a self-adaptive image encryption algorithm based on the quantum logistic map. First, initial values are substituted into map an iteration process to generate three random sequences. After preprocessing, new sequences with better randomicity were obtained from generated In particular, correlation coefficients for before and after preprocessing compared determine best model ma...

‎‎The tensor product is the fundemental ingredient for extending one-dimensional techniques of filtering and compression in signal preprocessing to higher dimensions‎. ‎Woven frames play ‎ a crucial role in signal preprocessing and distributed data processing‎. Motivated by these facts, we have investigated the tensor product of woven frames and presented some of their properties. Besides...