Automatic plant classification through leaf is a classical problem in Computer Vision. Plants challenging due to the introduction of new species with similar pattern and look-a-like. Many efforts are made automate using leaf, flower, bark, or stem. After much effort, it has been proven that most reliable source for classification. But identify help structure because shows similarity morphologic...

همدقم : نیئتورپ S100B ورون طابترا لرتنک رد و دوش یم دازآ اه تیسورتسآ زا هک تسا ینیئتورپ ، لگ ی یلا دراد شـقن یسپانیس يریذپ لکش و هظفاح رد لاامتحا و . هـعلاطم ادروخرب یصاخ تیمها زا نورون و تیسورتسآ لولس ود يدرکلمع طابترا تسا ر . ياـه شوـم رد يریگداـی يور رـب پـماکوپیه نورد هـب نیئتورـپ نیا قیرزت رثا رضاح هعلاطم رد تفرگ رارق یسررب دروم ییارحص . شور اه : زا قیقحت نیا رد 40 دش هدافتسا رن ییا...

The Korean Neonatal Network (KNN), a nationwide prospective registry of very-low-birth-weight (VLBW, < 1,500 g at birth) infants, was launched in April 2013. Data management (DM) and site-visit monitoring (SVM) were crucial in ensuring the quality of the data collected from 55 participating hospitals across the country on 116 clinical variables. We describe the processes and results of DM and S...

In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have compared the performances of these classifiers with different training sample sizes for the same remote sensing images, particularly the Senti...

This paper presents a new algorithm for human action recognition in videos. This algorithm is based on a combination of two different feature types extracted from Aligned Motion Images (AMIs). The AMI is a method for capturing the motion of all frames in a human action video in one image. The first feature is a contourbased type and is employed to grasp boundary details of the AMI. It relies on...

Phishing is a potential web threat that includes mimicking official websites to trick users by stealing their important information such as username and password related to financial systems. The attackers use social engineering techniques like email, SMS and malware to fraud the users. Due to the potential financial losses caused by phishing, it is essential to find effective approaches for ph...

File-type Identification (FTI) is an important problem in digital forensics, intrusion detection, and other related fields. Using stateof-the-art classification techniques to solve FTI problems has begun to receive research attention; however, general conclusions have not been reached due to the lack of thorough evaluations for method comparison. This paper presents a systematic investigation o...

This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles according to different predetermined categories. The system’s potential is demonstrated with a corpus of 91,229 words from University of Denver’s Penrose Library catalogue. The classification accuracy of the proposed LS-SVM based system is found to be over 99.9%. The fin...

There is a great benefit of Alzheimer disease (AD) classification for health care application. AD is the most common form of dementia. This paper presents a new methodology of invariant interest point descriptor for Alzheimer disease classification. The descriptor depends on the normalized Hu Moment Invariants (NHMI). The proposed approach deals with raw Magnetic Resonance Imaging (MRI) of Alzh...