Abstract Clustering in web mining has become a challenging task in the present scenario, which draws the attention of many researchers. Cluster analysis is mainly used to determine the clusters and algorithms for identifying the best cluster. Cluster analysis includes a number of unsupervised order techniques that are planned to discover a framework in datasets […]
Abstract Cloud computing is an elegance of computing system where immensely scalable Information Technologyenabled capabilities are conveyed ‘as a service’ using Computer and Internet technologies to numerous outdoor clients. DaaS that provides various research challenges in associations to data storage security and cost related issues from user’s view. The various security concerns are data intrusion, […]
Ischemic Stroke Lesion Segmentation by Analyzing MRI Images Using Deep Convolutional Neural Networks
Abstract Deep Learning proves to be the best way towards image classification tasks replacing ensembles with handcrafted features. It also has applications in medical imaging such as classification of tumorous and non-tumorous part from rest of the MRI image. Lesions is one such disease occurring in brain due to lack of oxygen during stroke. Automatic […]
Abstract The main motto of writing this paper is to give a detailed description about the content of how a man creates and interacts with the machine or system designed by the creative and technical ways with the intelligence of man. This detailed description consists of the knowledge of what the primary requirements are, regarding […]
Abstract The advent of Smartphones and their quick time services have made the urban lifestyle convenient and close-knit. Smartphone users can now reach their closed ones instantaneously via audio-video and messages. The Over-The-Top (OTT) applications have connected the users worldwide and bridged the gaps amidst scattered relations. While OTT applications have turned out to be […]
Abstract Stock market domain is a promising domain in Machine learning approach. Internet technologies helps to gathered various kinds of structured and unstructured data, such as blogs, message threads, an enormous amount of technical data, company meetings, quarterly results of company etc has been accumulated. Currently, many applications have used data mining techniques or machine […]
Abstract As the Internet related technologies have emerged, a lot of changes were observed in the data collected, stored and processed by the organizations. The new incoming data was unstructured, available from a number of outside areas and accumulated in large volumes within a small time span. It was realized the traditional system is inefficient […]
Abstract According to the study of World Health Organization (WHO), lung cancer is leading cause of death among all types of cancers (L. A. Torre et al., 2015). Lung cancer detection in early stage is became easy with the help of several image processing and machine learning techniques. Artificial Neural Network is proven to be […]
Abstract This paper predicts about recurrent antisocial behaviour by measuring the anterior cingulate activity of adult offenders. Identification of key elements that predict recurrent antisocial elements for a particular person is very beneficial for judgement process during trial of criminal in court or we say in judgement procedure as well as in social sciences. It […]
Abstract Tandem Repeats (TRs) are the repeats which occur in a chromosome, while a pattern of 1 or more nucleotides (A, C, G, T) is repeated more than one time and the repetitions are continuous. Repeating patterns also referred to as motifs or base patterns, can be of various lengths. There is a complete of […]