Environmental investment prediction has attracted much attention in the last few years. However, there are still great challenges modeling, e.g., 1) effective environmental indicators must be accurately selected to avoid curse of dimensionality; 2) data reasonably downsize scale historical data; 3) higher interpretability and lower complexity models considered. To address above three challenges...

traditional leveraging statistical methods for analyzing today’s large volumes of spatial data have high computational burdens. to eliminate the deficiency, relatively modern data mining techniques have been recently applied in different spatial analysis tasks with the purpose of autonomous knowledge extraction from high-volume spatial data. fortunately, geospatial data is considered a proper s...

background: since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. with the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals. ma...

We describe a procedure for genomic difference cloning, a method for isolating sequences present in one genomic DNA population ("tester") that is absent in another ("driver"). By subtractive hybridization, a large excess of driver is used to remove sequences common to a biotinylated tester, enriching the "target" sequences that are unique to the tester. After repeated subtractive hybridization ...

Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. This paper proposes a hybrid expert system approach to detect vocal fold pathology using the compressed/low quality voice samples which includes feature extraction using wave...

The Fuzzy hybridization technique for intelligent systems have become of research interests in a variety of research areas over the past decade. There are limitations faced by all popular fuzzy systems architectures when they are applied to applications with a large number of inputs (more than three). The present paper proposes a novel adaptive fuzzy inference system for multi-sensors mobile ro...