SupportVectorMachine相关论文
In order to overcome the current driving fatigue method and system limitations,the paper proposes a driving fatigue dete......
Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier:A Case Stud
Objective:The annual influenza epidemic is a heavy burden on the health care system,and has increasingly become a major ......
Micro-seismic monitoring is one of the most critical technologies that guide hydraulic fracturing in hot dry rock resour......
Distinguishing Rectal Cancer from Colon Cancer Based on the Support Vector Machine Method and RNA-se
Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide.Several studies have indicated that rectal......
Shale reservoirs are characterized by low porosity and strong anisotropy.Conventional geophysical methods are far from p......
...
...
...
In order to study the correlation between icy pavement and meteorological factors and implement an accurate prediction o......
In the construction process of prestressed concrete rigid frame bridge,due to the influence of environment,temperature,l......
A method for nonlinear model validation and parameter calibration of structure using Restoring force
This paper proposes a method for nonlinear model validation and parameter calibration of nonlinear structures by using r......
The accurate forecast of the freight volume on the Chang Jiang River trunk line is of great significance for the freight......
In order to overcome the current driving fatigue method and system limitations,the paper proposes a driving fatigue de-t......
A Study on Driving Behavior Intelligence Recognition Based on Discrete Wavelet Transform and Support
With the rapid development of Artificial Intelligence,big data analysis,smart recognition of driving behaviors becomes t......
The anomaly detection as a kind of intrusion detection way is good at detecting the unknown attacks or new attacks,and i......
blasting vibration is one of the major hazard, so as to control the effect of engineering blasting on the existing struc......
针对单一预测模型误差波动较大和线性组合预测的局限性,本文提出了基于多属性决策和支持向量机(Support Vector Machine,SVM)的风......
This paper describes an approach to identify suspected cybermob on social media.Many researches involve making predictio......
Malware is defined as any type of computer software harmful to computers or networks,which has been posing a serious thr......
The Fault Mode Identification of Hydraulic Pump Based on MLSE and Support Vector Machine Optimized b
A new method which is multiscale local-maximum sample entropy(MLSE)is put forward to measure the complexity of time seri......
The learning of Credit Scoring has recently gained much attention,and many methods based on machine learning approaches ......
In this paper,a model which is based on SVM is established for forecasting the surface properties of steels after laser ......
随着DNA微阵列技术的出现,大量关于不同肿瘤的基因表达谱数据集被发布到网络上,从而为研究肿瘤特征基因选择和亚型分类提供了方便,......
Wheat canopy nitrogen content inversion with hyperspectral technology based on support vector regres
A novel hyperspectral index,first derivative normalized difference nitrogen index (FD-NDNI),was developed to estimate th......
Fault diagnosis for spherical roller bearing using discrete wavelet transform and support vector mac
This paper presents a combined discrete wavelet transform (DWT) and supportvector machine (SVM) technique for fault diag......
In this paper,a new intelligent method for the fault diagnosis of the roller bearing is proposed based on wavelet packet......
支持向量机(SVM)是一种新型的基于统计学习理论的机器学习方法,已经成功的应用于模式识别和函数估计等问题中.已有的加权支持向量......
Rapid Identification of Waste Cooking Oil with Near Infrared Spectroscopy Based on Support Vector Ma
The qualitative model for rapidly discriminating the waste oil and four normal edible vegetable oils is developed using ......
Prediction of anti-apoptosis proteins and pro-apoptosis proteins by average chemical shift and Pseud
...
Objective To investigate the early diagnosis of pneumoconiosis on digital radiographs by means of wavelet transform-deri......
Background: Motivation: Containing about 22 nucleotides, a microRNA (abbrevi-ated miRNA) is a small non-coding RNA molec......
Background: Calcium is the most abundant mineral element in human body, the calcium-binding proteins involved in several......
Background: Apoptosis proteins are crucial for regulating a balance between cell death and renewal.The biological functi......
The prediction of 27 protein fold types based on the interaction of predicted secondary structure se
...
Bipolar disorders(BD)are characterized by a mood fluctuation,ranging from mania to depression.Current BD diagnosis and e......
Phosphorylation is one of the most important protein post-translation modifications.With the rapid development of high-t......
Background: Neuropeptides (NPs) play critical roles in synaptic signaling in various systems.NPs act as hormone,modulato......
Background: Cell penetrating peptides(CPPs)is a small molecule polypeptide with a cell membrane penetrating ability that......
Background: The immune system has evolved to make repertoires of peptides processed from self and foreign proteomes, whi......
Prediction of subcellular localization of mycobacterial proteins based on feature selection techniqu
Background: Mycobacterial tuberculosis can cause one of the most prevalent infectious diseases-tuberculosis.Knowing the ......
Background: RNA binding proteins (RBPs) play critical roles in various cellular processes.Computational approaches to id......
Background: Adverse drug reactions (ADRs) is one of the main causes of new drug discovery failure.Therefore, it is desir......
Background: With the avalanche of protein sequences generated in the post-genome era, it is very important to develop co......
Ubiquitylation is one of the most popular post-translational modifications (PTM), which plays important roles in directi......
PURPOSE In the work, we investigate the use of support vector machines(SVM) to analyze the flow eytometry based acute my......
Contourlet textual features: improving the diagnosis of solitary pulmonary nodules in two dimensiona
Objective: To determine the value of contourlet textural features obtained from solitary pulmonary nodules in CT images ......
Automatic classification of schizophrenia patients using support vector machine and recursive featur
Structural abnormalities in Schizophrenia(SZ)patients have been well documented with structural magnetic resonance imagi......
Computer-Aided Diagnosis of Digital Radiographs for Pneumoconiosis Using Wavelet-Based Texture Featu
Purpose: To automatically detect pneumoconiosis using a computer-aided diagnosis (CAD) system on digital chest radiograp......
A novel method to quickly identify polymer bonded explosives by a combination of infrared spectrosco
The fast recognition of explosives is of great importance in national defense and security fields and is also an enormou......
