Abstract: MOBILE devices, including smart phones, are being used by billions of people all around the world. This creates the opportunity to design a wide variety of mobile image applications, Among many imaging applications, healthcare applications have drawn a lot of attentions..
Aim: Aim of this project is to build a surveillance system for home to identify the presence of human and notify to the owner of house.Abstract: Internet of Things (IoT) is an emerging technology which is making our world smarter. The dev..
Aim: To determine the loan approval system using machine learning algorithms.Abstract: Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a ma..
Abstract: While the concept of ultra-dense small cell networks (SCNs) has brought a number of significant opportunities for the telecommunication industry, it has also introduced a major challenge for researchers, who must develop techniques to reduce the sharp i..
Abstract SHIP detection in remote-sensing images is important in both civilian and military applications, such as traffic dynamic monitoring, fishery management, security threats uncovering, illegal activities uncovering. the framework is designed to access the fin..
AREA DETERMINATION OF DIABETIC FOOT ULCER IMAGES USING A CASCADED TWO-STAGE SVM BASED CLASSIFICATION
Aim: The mainstay of the project is to determine the wound boundary on a foot ulcer image. Introduction: Doctors base their wound assessment primarily on visual examination and manual measurements per..
Aim: The main aim of this project is to develop user-friendly mobile applications ensuring data protection and high security. Synopsis: ..
Aim: The main aim of this project is to provide a reliable and secure cloud service and also increase trustworthiness of certifications by Continuous Auditing.Introduction: An increasing number of organizations outsource their data, applications and bu..
Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean
Abstract: Brain tumor identification is really challenging task in early stages of life. But now it became advanced with deep-learning. Now a day’s issue of brain tumor automatic identification is of great interest. In Order to detect the brain tumor of a patient we consider the data of pati..
Abstract: Since texts in traffic signs have precise and rich semantic information related to traffic condition, text-based traffic sign detection plays an important role in the autonomous driving and auxiliary driving of Intelligent Transportation System, just as traffic congestion det..
Aim: The main aim of this project is to provide integrity of an organization data which is in public cloud.Synopsis: Data owners will store their data in public cloud along with encryption and particular set of attributes to..
Synopsis Electricity usage in global data centers is estimated 200 terawatts hour (TWh) each year, or about 1% of the total electricity consumed. This signiﬁcant amount of en..
Aim: The main aim of this project is to solve the problem of counterfeiting certificates we are proposing an digital certificate system based on block chain technology and to verify the traveler’s identity using live camera, which allows faster convergence and more generaliz..
ABSTRACT: Underwater images usually suffer from degeneration, such as low contrast, color casts, and noise, due to wavelength-dependent light absorption and scattering. The attenuated direct transmission leads the intensity from the scene to be weaker and introduces color casts, ..
Aim: To design a MATLAB Model for Individual’s Emotion detection through computed EEG using DEAP dataset and making the people to relax by playing music spontaneouslyAbstract: Emotion plays a..