نتایج جستجو برای: false positive reaction fpr
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This document presents an improved global descriptor, the Robust Visual Descriptor (RVD). Our proposed global descriptor results in an improvement of the overall performance of the Test Model TM6 in both pairwise matching and retrieval, showing exceptional performance improvements in the non-planar 3D objects experiments, where the TM currently underperforms. Furthermore, our proposed global de...
In recent times, malware has progressed by utilizing distinct advanced machine learning techniques for detection. However, the model becomes complicated and singular value decomposition depth-based detectors failed to detect significantly with minimum time overhead. This paper proposes a multinomial linked latent dirichlet modular double q (MLLD-MDQL) efficiently based on network behavior patte...
Abstract We generalize the Homm and Breitung (2012) CUSUM-based procedure for real-time detection of explosive autoregressive episodes in financial price data to allow time-varying volatility. Such behavior can heavily inflate false positive rate (FPR) spuriously signal presence an episode. Our modified involves replacing standard variance estimate CUSUM statistics with a nonparametric kernel-b...
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these challenges, we propose oversampling and semi-supervised learning methods based on the restricted Boltzmann machines (RBMs) to solve the classificatio...
Road region recognition is a main feature that is gaining increasing attention from intellectuals because it helps autonomous vehicle to achieve a successful navigation without accident. However, different techniques based on camera sensor have been used by various researchers and outstanding results have been achieved. Despite their success, environmental noise like shadow leads to inaccurate ...
Introduction: Prenatal maternal serum AFP screening tests have some inherent false positive and false negative results. For NTDs Screening test (FTS) false positive rate (FPR) is about 1% and false negative rate (FNR) is 20%. A false positive result encourages by Anomaly scan and invasive diagnostic procedures (that poses lots of stress on women, too), while a false negative result lead to a N...
In countries where the economy relies mostly on agricultural-livestock activities, such as Argentina, droughts cause significant economic losses. Currently, most-used drought indices by Argentinian National Meteorological and Hydrological Services are based field precipitation data, standardized index (SPI) evapotranspiration (SPEI). this article, we explored performance of satellite-based soil...
In a partitioned Bloom Filter (PBF) the bit vector is split into disjoint parts, one per hash function. Contrary to hardware designs, where they prevail, software implementations mostly ignore PBFs, considering them worse than standard filters (SBF), due slightly larger false positive rate (FPR). this paper, by performing an in-depth analysis, first we show that FPR advantage of SBFs smaller th...
introduction breast cancer is one of the most life-threatening conditions among women. early detection of this disease is the only way to reduce the associated mortality rate. mammography is a standard method for the early detection of breast cancer. today, considering the importance of breast cancer detection, computer-aided detection techniques have been employed to increase the quality of ma...
We have developed a 3-protein signature blood marker (Mastocheck®) for early diagnosis of breast cancer. The purpose this study is to improve the performance previously markers. Blood from 196 cancer patients and healthy control groups were prospectively collected.Through development biomarker detectable library, PepQuant, peptides that are optimal MS/MS detection selected. After chemically syn...
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