Showing 25–36 of 776 results
A Hybrid Intelligent System for Risk Assessment based on Unstructured Data Abstract– This paper presents a hybrid intelligent system (HIS) for risk assessment based on unstructured information. The generalised structure of a hybrid intelligent system ( H IS ) and its implementation in various information systems are described using a number of case studies. The…
A Load Balancing Model Based on Cloud Partitioning for the public cloud Abstract?A Load Balancing Model Based on Cloud Partitioning for the public cloud.Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. < Final Year Projects > This…
A Machine Learning Approach for Identifying Disease-Treatment Relations in Short Texts Abstract?The Machine Learning (ML) field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain.< Final Year Project > The empirical domain of automatic learning is used in tasks such as medical…
A Merge and Split Mechanism for Dynamic Virtual Organization Formation in Grids Abstract?A Merge and Split Mechanism for Dynamic Virtual Organization Formation in Grids. Executing large-scale application programs in grids requires resources from several grid service providers (GSPs). These providers form virtual organizations (VOs) by pooling their resources together to provide the required capabilities to…
A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Abstract?A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction. In many real-world applications, it is important to mine causal relationships where an event or event pattern causes certain < Final Year Projects > outcomes…
A minimum enclosing ball-based support vector machine approach for detection of phishing websites Abstract?A novel approach based on minimum enclosing ball support vector machine (BVM) to phishing Website detection is proposed, which aims at achieving high speed and high accuracy for detecting phishing Website. In order to enhance the integrity of the feature vectors, we…
A Multi-stage Method for Text-To-Pronunciation Conversion Abstract? A Multi-stage Method for Text-To-Pronunciation Conversion Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections] [numbers_sections number=”2″ title=”Our =Specialization=” last=”no” ] Voice Conference Video On…
A Multilevel Index Model to Expedite Web Service Discovery and Composition in Large-Scale Service Repositories Abstract? The number of Web services has grown drastically. Then how to manage them efficiently in a service repository is an important issue to address. Given a special field, there often exists an efficient data structure for a class of…
A New Algorithm for Inferring User Search Goals with Feedback Sessions Abstract? A New Algorithm for Inferring User Search Goals with Feedback Sessions. For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very…
A New Algorithm for Inferring User Search Goals with Feedback Sessions Abstract?For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. In this paper,…
A New Methodology for Mining Frequent Itemsets on Temporal Data Abstract-Temporal data contain time-stamping information that affects the results of data mining. Traditional techniques for finding frequent itemsets assume that datasets are static and the induced rules are relevant across the entire dataset. However, this is not the case when data is temporal. In this…
A novel approach to generate MCQs from domain ontology: Considering DL semantics and open-world assumption Abstract? Ontologies are structures, used for knowledge representation, which model domain knowledge in the form of concepts, roles, instances and their relationships. This knowledge can be exploited by an assessment system in the form of multiple choice questions (MCQs). The…
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