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..
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..
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..
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..
Aim The main aim of this project is to provide a reliable and secure cloud service and also increase trustworthiness of certifications by Continuous Automatic Auditing. Synopsis Cloud Computing enables the remote users to access data, services, and applications in ..
Aim: Aim of this project is automatic raspberry pi based automatic eye blinking system for facial paralyzed patients.Abstract: FACIAL paralysis is a disease making people losing facial movements, which are caused by nerve damages. People suffering from facial paralysis usually have muscles on..
FPGA Implementation of Image Steganography Algorithms using Generalized Exploiting Modification Direction and Pixel Segmentation Strategy
Synopsis: The generalized exploiting modification direction (GEMD) steganography algorithm is an enhancement of the exploiting modification direction (EMD) algorithm to hide a high payload capacity with maintaining the quality of the stego-image. In proposed system we developed..
AIM: Aim of this project is smart home automation with Google assistant. IFTTT also using in this project, is a free web-based service to create chains of simple conditional statements, called applets.Introduction: ..
Abstract: DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic segmentation methods have not demonstrated sufficiently accurate and robust results for clinical use due to the inherent..
Aim:To implement a recommendation for music, based on the content of microblog, to extract affective contextual information from hashtags contained in these tweets. Synopsis:In the advancement of Hardware technologies, the mobile computing power in terms of processing, memory has increased a lot. Fortunately, the costs for this hardware were..