The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Parkinson's disease (PD) is a neurodegenerative brain disorder that occurs when approximately 60% to 80% of the dopamine-producing cells are damaged. PD is the second common neurodegenerative disorder after Alzheimer. PD could be diagnosed by various signals such as EEG, gait and speech. Approximately, 90 percent of people with PD suffer from speech disorder, thus it might be considered as the easiest...
With the emergence of High Speed Network (HSN), the manual intrusion alert detection become an extremely laborious and time-consuming task since it requires an experienced skilled staff in security fields and need a deep analysis. In addition, the batch model of alert management is no longer adequate given that labeling is a continuous time process since incoming intrusion alerts are often collected...
In this paper we compare two captured databases which contain local acceleration and angle information recorded during the signing process. Approximately a year passed between the capturing of the two databases and they contain several signatures from the same writers. We analyze the expedience of the proposed devices and examine the overlap of the databases using Legendre approximation for feature...
This paper proposes a new combined signature verification technique called segmentation-verification based on three different off-line feature vectors extracted from full name Japanese signature image and from the sub-images of the first name and the last name. The Mahalanobis distance for each feature vector is calculated and the final decision (verification) is performed by SVM based on the three...
Alzheimer disease (AD) is known as the most common form of dementia, which imposes a considerable burden on society. In this paper, we focus on the automated diagnosis of Alzheimer disease. Based on the researches on neuropathology, we adopt the thickness of cortex regions from the magnetic resonance imaging (MRI) to characterize the pathology of AD. 3D reconstruction technique is utilized to extract...
In this paper, a ensemble learning classification algorithm based on the novel feature selection method is proposed. The feature selection method takes full account of the discrimination and class information of each feature by calculating the scores. Specially, the scores are fused for getting a weight for each feature. We select the significant features according to the weights. The result of feature...
Polarimetric SAR data is been extensively used for the application of land use and land cover classification. Various classifier approaches have been applied to many different polarimetric images employing numerous features. In this paper, we want to provide an evaluation of commonly used supervised classifiers within the field of polarimetric SAR classification considering the effects of different...
Increased connectivity and the use of the internet have exposed the subversion in front of the organizations, there for there is a need to use of intrusion detection system to protect information system and communication network from malicious attacks and unauthorized access. An intrusion detection system (IDS) is a security system that monitors computer systems and network traffic, analyze that traffic...
Accurate Digital Terrain Models (DTM) are inevitable inputs for mapping areas subject to natural hazards. Topographic lidar scanning has become an established technique to characterize the Earth surface: and reconstruct the topography. For flood hazard modeling in coastal areas, the key step before terrain modeling is the discrimination of land and water surfaces within the delivered point clouds...
Improving in the fields of soft computing and artificial intelligence, the branch study of automated herb recognition among plenty of weeds has become challenging issue due to their applications in medicine, food and industry. This paper presents innovative method to improve the accuracy of classification as well the efficiency, such that irrelevant features that make computational complexity are...
Support Vector Machines (SVMs) have been used in many areas such as regression, classification and novelity detection due to its accuracy and generalizability. Recently SVMs have been proposed for clustering analysis as well. Support Vector Clustering (SVC) works by finding the minimum enclosing sphere of data points using SVM training. SVC is a boundary based clustering method, where the support...
Epilepsy is a crucial neurological disorder in which patients experience epileptic seizure caused by abnormal electrical discharges from the brain. It is highly common in children and adults at the age of 65–70. Around 1 % of the world's population is affected by this disease. The mechanism of epilepsy is still incomprehensible to researchers; however, 80% of the seizure activity can be treated effectively...
There is a chicken-and-egg problem in classification whereby a good classifier is required to test the efficacy of the features, yet a good feature set is required to generate a good classifier. When the salient features are unknown, an extremely large set of features is used to train the classifier in hopes of obtaining accurate classification results. This research proposes the use of a special...
Support vector machine (SVM) is a machine learning algorithm which has been applied to fault diagnosis of analog circuits. Invasive weed optimization (IWO) is a novel numerical optimization algorithm inspired from weed colonization. An approach that combines IWO and SVM (IWO-SVM) is proposed to fault diagnosis of analog circuits in this paper. The process of fault diagnosis of analog circuits using...
In this paper, we propose a protein secondary structure prediction method based on the support vector machine (SVM) with position-specific scoring matrix (PSSM) profiles and four physicochemical features, including conformation parameters, net charges, hydrophobic, and side chain mass. First, the SVM with the optimal window size and the optimal parameters of the kernel function is found. Then, we...
Finding the molecular features causes the halophilicity in the halostable organisms is helpful to understand the halophilic adaption. In this study, we proposed a prediction method for halophilic proteins by using a machine learning method. The stages of this study are six-fold. First, we establish a non-redundant dataset of the halophilic proteins, collected from NCBI, Uniprotkb and EMBL-EBI databases...
Barrett's esophagus (BE) is a premalignant condition characterized by the replacement of normal squamous esophageal epithelium by metaplastic intestinal epithelium containing goblet cells. To be diagnosed and monitored, BE requires a thorough observation of epithelial macro- and microscopic changes. Confocal laser endomicroscopy (CLE) has recently revealed to be a useful technique for in vivo virtual...
Support Vector Machine, a powerful data mining technique is used for the classification of attacks. SVM is implemented using WEKA tool in which the Radial Basis Function proves to be an efficient Kernel for the classification of portscan attacks. KDD'99 dataset consisting of portscan and normal traces termed as mixed traffic is given as input to SVM in two phases, i.e., without feature reduction and...
Human posture recognition is an attractive and challenging topic in computer vision because of its wide range of application. The coming of low cost device Kinect with its SDK gives us a possibility to resolve with ease some difficult problems encountered when working with conventional cameras. In this paper, we explore the capacity of using skeleton information provided by Kinect for human posture...
This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are particle swarm optimization algorithm (PSO) and genetic algorithm optimization (GA). These two optimization algorithms are used for efficiently and effectively...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.