نتایج جستجو برای: 873 and 885 accuracy classification

تعداد نتایج: 16892018  

 Classification is an one of the important parts of data mining and knowledge discovery. In most cases, the data that is utilized to used to training the clusters is not well distributed. This inappropriate distribution occurs when one class has a large number of samples but while the number of other class samples is naturally inherently low. In general, the methods of solving this kind of prob...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2021

Abstract. Supervised classification of remotely sensed images has been widely used to map land cover and use. Since the performance supervised methods depends on quality training data, it is essential develop generate an enhanced dataset. Active learning represents alternative for such purpose as proposes create a dataset optimized samples, normally collected based uncertainty. However, heavily...

2017
Colin Siu-Chi Lam Lui Ng Ariel Ka-Man Chow Timothy Ming-Hun Wan Simon Yau Nathan Shiu-Man Cheng Sunny Kit-Man Wong Johnny Hon-Wai Man Oswens Siu-Hung Lo Dominic Chi-Chung Foo Jensen Tung-Chung Poon Roberta Wen-Chi Pang Wai-Lun Law

Colorectal cancer is the third most common cancer in the world and liver is the most frequent site of distant metastasis with poor prognosis. The aim of this study is to investigate microRNAs leading to liver metastasis. We applied microarray analysis and quantitative PCR to identify and validate dysregulated miRNAs in liver metastases when compared to primary CRCs. Functional significance and ...

کرمی, علی, کیانی , آزاده, زنج, بهمن, پور آهنگریان, فرشته ,

In this paper, Automatic electrocardiogram (ECG) arrhythmias classification is essential to timely diagnosis of dangerous electromechanical behaviors and conditions of the heart. In this paper, a new method for ECG arrhythmias classification using wavelet transform (WT) and neural networks (NN) is proposed. Here, we have used a discrete wavelet transform (DWT) for processing ECG recordings, and...

Journal: افق دانش 2021

Background: Epilepsy is a Brain disorder disease that affects people's quality of life. If it is diagnosed at an early stage, it will not be spread. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. However, this screening system cannot diagnose epileptic seizure states precisely. Nevertheless, with the help of computer-aided diagnosis systems (CADS), neurologists ca...

Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...

Journal: Desert 2018
M. Rahmati, N. Hamzehpour

     Data reduction is used to aggregate or amalgamate the large data sets into smaller and manageable information pieces in order to fast and accurate classification of different attributes. However, excessive spatial or spectral data reduction may result in losing or masking important radiometric information. Therefore, we conducted this research to evaluate the effectiveness of the different...

Alzheimer's disease is characterized by impaired glucose metabolism and demonstration of amyloid plaques. Individual positron emission tomography tracers may reveal specific signs of pathology that is not readily apparent on inspection of another one. Combination of multitracer positron emission tomography imaging  yields promising results. In this paper, 57 Alzheimer's disease neuroimaging ini...

Journal: :Biochemistry 2004
John A H Hoerter Meredith Newby Lambert Miguel J B Pereira Nils G Walter

The original interpretation of a series of genetic studies suggested that the highly conserved Escherichia coli 16S ribosomal RNA helix 27 (H27) adopts two alternative secondary structure motifs, the 885 and 888 conformations, during each cycle of amino acid incorporation. Recent crystallographic and genetic evidence has called this hypothesis into question. To ask whether a slippery sequence s...

Banking is a specific industry that deals with capital and risk for making profit. Credit risk as the most important risk, is an active research domain in financial risk management studies. In this paper a hybrid model for credit risk assessment which applies ensemble learning for credit granting decisions is designed. Combining clustering and classification techniques resulted in system improv...

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