Automatic Exudate detection for the diagnosis of Diabetic Retinopathy Abstract?Ophthalmologists analyze fundus images of eye extensively as a non invasive diagnosis tool for various internal eye defects. Diabetic retinopathy is an eye complication specially seen in diabetic patients, causing damage to retina which may lead to blindness.< Final Year Projects > The major symptoms…
Automatic Image Annotation using Multi SVM Abstract?Image annotation is usually formed as a multiclass classification problem. Traditional methods learn the co-occurrence of keywords and images while they ignore the correlation between keywords, which turned out to be one of the reasons causing poor experiment results.< Final Year Project > In this paper, we propose…
Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and Rule-Based Model Abstract?Recent increase in the use of video-based applications has revealed the need for extracting the content in videos. Raw data and low-level features alone are not sufficient to fulfill the user ‘s needs; that is, a deeper understanding of the content…
Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study Abstract? Applications of cyber technologies improve the quality of monitoring and decision making in smart grid. These cyber technologies are vulnerable to malicious attacks, and compromising them can have serious technical and economical problems.< Final Year Project > This paper specifies the…
BIOLOGICAL EARLY BRAIN CANCER DETECTION USING ARTIFICIAL NEURAL NETWORK Computer aided diagnosis systems for detecting malignanttexture in biological study have been investigated usingseveral techniques. This paper presents an approach incomputer-aided diagnosis for early prediction of braincancer using Texture features and neuro classification logic.< Final Year Projects >The Tumor mass detection and Cluster microclassification is…
Biomedical Document Clustering Using Ontology based Concept Weight Abstract?Conventional document clustering techniques are mainly based on the existence of keywords and the number of occurrences of it. Most of the term frequency based clustering techniques consider the documents as bag-of-words and ignore the important relationships between the words in the document. Phrase based clustering…
Blur and Illumination Robust Face Recognition via Set-Theoretic Characterization. We address the problem of unconstrained face recognition from remotely acquired images. The main factors that make this problem challenging are image degradation due to blur, and appearance variations due to illumination and pose. In this paper, we address the problems of blur and illumination. We…
Building a Scalable Database-Driven Reverse Dictionary Abstract? Building a Scalable Database-Driven Reverse Dictionary. we describe the design and implementation of a reverse dictionary. Unlike a traditional forward dictionary, which maps from words to their definitions, a reverse dictionary takes a user input phrase describing the desired concept, and returns a set of candidate words…
CAM: Cloud-Assisted Privacy Preserving Mobile Health Monitoring Abstract? Cloud-assisted mobile health (mHealth) monitoring, which applies the prevailing mobile communications and cloud computing technologies to provide feedback decision support, has been considered as a revolutionary approach to improving the quality of healthcare service while lowering the healthcare cost. < Final Year Project > Unfortunately, it also…
Cardiac arrhythmias detection in an ECG beat signal using fast fourier transform and artificial neural network Abstract?Cardiac Arrhythmias shows a condition of abnor-mal electrical activity in the heart which is a threat to humans. This paper presents a method to analyze electrocardiogram (ECG) signal, extract the fea-tures, for the classification of heart beats according…