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In this research, we have developed a web based TaqMan Array Cards (TMDK) Data Management System that responds to the needs of collecting, sharing and uploading data of many surveillance projects, and a Ct-value prediction algorithm to determine target gene existence in sample. Any epidemic case can rapidly be detected and comparative evaluations can be done for the results of different sites while...
In this paper, we study Vehicle Routing Problem (VRP) for Blood Transporters (BTs) and propose an efficient vehicle routing scheme for blood transportation between hospitals or Donor/Client Sites (DCSs) within a region that is based on Artificial Intelligence. It is assumed that each BT in a fleet of vehicles starts and completes its route at a blood-bank while visiting a subset of DCSs using the...
Introduction of fluorescence-based Real-Time PCR (RT-PCR) is increasingly used to detect multiple pathogens simultaneously and rapidly by gene expression analysis of PCR amplification data. PCR data is analyzed often by setting an arbitrary threshold that intersect the signal curve in its exponential phase if it exists. The point at which the curve crosses the threshold is called Threshold Cycle (CT)...
Brain lesions are life threatening diseases. Traditional diagnosis of brain lesions is performed visually by neuro-radiologists. Nowadays, advanced technologies and the progress in magnetic resonance imaging provide computer aided diagnosis using automated methods that can detect and segment abnormal regions from different medical images. Among several techniques, machine learning based methods are...
In this paper, we propose a new architecture to read the smart meters which are commonly distributed nowadays in smart cities. In this architecture, public transportation vehicles are utilized as Data Collectors (DCs) that reads these smart meters. Moreover, we target the path planning problem for these DCs given that a limited number of vehicles with a specific storage capacity are able to participate...
Nowadays scientists are focusing on diagnosing certain eye diseases using image processing. Among these diseases, Adenoviral conjunctivitis is a key eye infection to be observed and diagnosed. In this paper, digital image processing (DIP) is applied for an automated, fast and cost-effective diagnosis of conjunctivitis by physicians. In our study, we measure the vascularization and intensity of redness...
A fusion methodology for tracks represented by Gaussian mixtures is proposed for distributed maneuvering target tracking with unknown correlation information between the local agents. For this purpose, Chernoff fusion is applied to the Gaussian mixtures provided by the local interacting multiple-model (IMM) filters. Chernoff fusion of Gaussian mixtures is achieved using a recently proposed method...
In this work, a new methodology is proposed for probability mass assignment to be used in Dempster-Shafer approach. The approach is developed for the cases where the prior and the current information are represented by probability density functions. Masses are assigned by comparing the prior and the current probability density functions which are assumed to be Gaussian. The proposed method is tested...
Covariance intersection (CI) is a method used for consistent track fusion with unknown correlations. The well-known generalization of CI to probability density functions is known as Chernoff fusion. In this paper, we propose an approximate approach for the Chernoff fusion of Gaussian mixtures based on a sigma-point approximation of the underlying densities. The resulting general density fusion rule...
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