Showing 3325–3336 of 3871 results
Semantic Link Network-Based Model for Organizing Multimedia Big Data Abstract?Semantic Link Network-Based Model for Organizing Multimedia Big Data. Recent research shows that multimedia resources in the wild are growing at a staggering rate. The rapid increase number of multimedia resources has brought an urgent need to < Final Year Projects > develop intelligent methods to…
Semantic security against web application attacks Abstract? Semantic security against web application attacks. Timeout mechanisms are a useful feature for web applications. However, these mechanisms need to be used with care because, if used as-is, they are vulnerable to timing attacks. This paper focuses on internal timing attacks, a particularly dangerous class of timing attacks,…
Semantic Web Service Discovery Using Natural Language Processing Techniques Abstract? the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service discovery. Hence,…
Semantic Web service discovery using natural language processing techniques Abstract? With the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service…
Semantic-Aware Blocking for Entity Resolution Abstract? a semantic-aware blocking framework for entity resolution (ER). The proposed framework is built using locality-sensitive hashing (LSH) techniques, which efficiently unifies both textual and semantic features into an ER blocking process. In order to understand how similarity metrics may affect the effectiveness of ER blocking, we study the robustness…
Semantic-Aware Blocking for Entity Resolution Abstract? A semantic-aware blocking framework for entity resolution (ER). The proposed framework is built using locality-sensitive hashing (LSH) techniques, which efficiently unifies both textual and semantic features into an ER blocking process. In order to understand how similarity metrics may affect the effectiveness of ER blocking, we study the robustness…
Semantics Driven Approach for Knowledge Acquisition From EMRs Abstract?Semantics Driven Approach for Knowledge Acquisition From EMRs. Semantic computing technologies have matured to be applicable to many critical domains such as national security, life sciences, and health care. However, the key to their success is the availability of a rich domain knowledge base. The creation and…
Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware Abstract? Recently, malware has increasingly become a critical threat to embedded systems, while the conventional software solutions, such as antivirus and patches, have not been so successful in defending the ever-evolving and advanced malicious programs. we propose a hard ware enhanced architecture, GuardOL, to perform…
Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Abstract? Extraction of map objects such roads, rivers and buildings from high resolution satellite imagery is an important task in many civilian and military applications. We present a semi-automatic approach for road detection that achieves high accuracy and efficiency. This…
Semi-automatic detection and segmentation algorithm of saccular aneurysms in 2D cerebral DSA images Abstract?Abstract To detect and segment cerebral saccular aneurysms (CSAs) in 2D Digital Subtraction Angiography (DSA) images.Patients and methods: Ten patients underwent Intra-arterial DSA procedures. Patients were injected with Iodine-containing radiopaque material. A scheme for semi-automatic detection and segmentation of intracranial aneurysms is…
Semi-Automatic Segmentation and Classification of Pap Smear Cells Abstract? Semi-Automatic Segmentation and Classification of Pap Smear Cells. Cytologic screening has been widely used for detecting the cervical cancers. In this study, a semiautomatic PC-based cellular image analysis system was developed for segmenting nuclear and cytoplasmic contours and for computing morphometric and textual features to train…
Semi-supervised ensemble clustering based on selected constraint projection Abstract-Traditional cluster ensemble approaches have several limitations. (1) Few make use of prior knowledge provided by experts. (2) It is difficult to achieve good performance in high-dimensional datasets. (3) All of the weight values of the ensemble members are equal, which ignores different contributions from different ensemble…
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Relevance Feature Discovery for Text Mining
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DDoS Attack Detection using Machine Learning Techniques in Cloud Computing Environments
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Prediction of Heart Disease Using Machine Learning Algorithms
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