Detection of Microcalcifications in Mammograms Using Support Vector Machine Abstract?For years cancer has been one of the biggest threats to human life, it is expected to become the leading cause of death over the next few decades. Early detection of breast cancer can play an important role in reducing the associated morbidity and mortality…
Dirichlet Process Mixture Model for Document Clustering with Feature Partition Abstract? Finding the appropriate number of clusters to which documents should be partitioned is crucial in document clustering. In this paper, we propose a novel approach, namely DPMFP, to discover the latent cluster structure based on the DPM model without requiring the number of clusters…
Disclosing climate change patterns using an adaptive Markov chain pattern detection method Abstract?proposes an adaptive Markov chain pattern detection (AMCPD) method for disclosing the climate change patterns of Singapore through meteorological data mining. Meteorological variables, including daily mean temperature, mean dew point temperature, mean visibility, mean wind speed, maximum sustained wind speed, maximum temperature…
Distributed malware propagation in Mobile Adhoc NETwork Abstract?The openness of the Android operating system increased the number of applications developed, but it also introduced a new propagation vector for mobile malware. We model the propagation of mobile malware using epidemiology theory and study the problem as a function of the underlying mobility models.< Final Year...
Distributed Processing of Probabilistic Top-kQueries in Wireless Sensor Networks Abstract? we introduce the notion of sufficient set and necessary set for distributed processing of probabilistic top-k queries in cluster-based wireless sensor networks. These two concepts have very nice properties that can facilitate localized data pruning in clusters. Accordingly, we develop a suite of algorithms,…
Distributed Strategies for Mining Outliers in Large Data Sets Abstract?We introduce a distributed method for detecting distance-based outliers in very large data sets. Our approach is based on the concept of outlier detection solving set [2], which is a small subset of the data set that can be also employed for predicting novel outliers….
Domain Ontology based Semantic Search for Efficient Information Retrieval through Automatic Query Expansion Abstract? To achieve semantic search, a search engine is needed which can interpret the meaning of a user’s query and the relations among the concepts that a document contains with respect to a particular domain. We are presenting the skeleton of…
DYNAMIC STABILITY OF A MICROGRID WITH AN ACTIVE LOAD Abstract?Rectifiers and voltage regulators acting as constant power loads form an important part of a microgrid?s total load. In simplified form, they present a negative incremental resistance and beyond that, they have control loop dynamics in a similar frequency range to the inverters that may supply…
Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier Abstract?A new computer-aided diagnosis (CAD) system for early lung cancer detection based on the analysis of sputum color images is proposed. A set of features is extracted from the nuclei of the sputum cells after applying a region detection process. For training…
EEG Signal Classification using Wavelet and classifier Abstract? The quality of feature set obtained from Wavelet based Energy-entropy with variation of scale and wavelet type. Here motor imagery of left-right hand movement classification problem has been studied. Elliptic bandpass filters are used to discard unwanted signals and also to extract alpha & beta rhythms.<…
Effect of load power factor on voltage stability of distribution substation Abstract? voltage stability of the distribution substation is analyzed by simulation. It is shown that the operating voltage of the distribution substation bus is cross point of the power grid transmission characteristics and the load reactive power – voltage characteristics. The research results…
Effective content-based video retrieval using pattern-indexing and matching techniques Abstract?To retrieve videos from database, effective video analyzing, indexing and retrieval techniques are required. < Final Year Project >Video retrieval using query-by-image is not successful as it gives result of videos with less relevancy and accuracy. A method is proposed where input is a video clip,…