Showing 1909–1920 of 2043 results
Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles Abstract? Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles. Recently, two ideas have been explored that lead to more accurate algorithms for time-series classi?cation < Final Year Projects 2016 > TSC. First, it has been shown that the simplest way to gain improvement on TSC…
Timing Error Tolerance in Small Core Designs for SoC Applications Abstract? Timing errors are an increasing reliability concern in nanometer technology, high complexity and multi-voltage/frequency integrated circuits. A local error detection and correction technique is presented in this work that is based on a new bit flipping flip-flop. Whenever a timing error is detected, it…
To improve Blood Donation Process using Data Mining Techniques Abstract? To improve Blood Donation Process using Data Mining Techniques. Blood is the vital thing for human being because there is no alternative for replacing it. This makes it necessary for the presence of a system for predicting continuous behavior of healthy blood donors in blood…
To Lie or t o Comply: Defending against FloodAttacks in Disruption Tolerant Networks Abstract? To Lie or t o Comply: Defending against FloodAttacks in Disruption Tolerant Networks. 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…
Top-k Similarity Join in Heterogeneous Information Networks Abstract? Top-k Similarity Join in Heterogeneous Information Networks. As a newly emerging network model, heterogeneous information networks < Final Year Projects 2016 > have received growing attention. Many data mining tasks have been explored in HINs, including clustering, classi?cation, and similarity search. Similarity join is a fundamental operation…
Topic Mining over Asynchronous Text Sequences Abstract? Topic Mining over Asynchronous Text Sequences. 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…
Topic Model for Graph Mining Abstract? Topic Model for Graph Mining. Graph mining has been a popular research area because of its numerous application scenarios. Many unstructured and structured data can be represented as graphs, such as, documents, chemical molecular structures, and images. However, an issue in relation to current research on graphs is that…
TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models Abstract?TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models. Search Engine Marketing (SEM) agencies manage thousands of search keywords for their clients. The campaign management dashboards provided by advertisement brokers have interfaces to change search campaign attributes. Using these dashboards, advertisers create test variants…
TopicSketch: Real-time Bursty Topic Detection from Twitter Abstract-Twitter has become one of the largest microblogging platforms for users around the world to share anything happening around them with friends and beyond. A bursty topic in Twitter is one that triggers a surge of relevant tweets within a short period of time, which often reflects important…
Topological Modeling and Classification of Mammographic Microcalcification Clusters Abstract? Topological Modeling and Classification of Mammographic Microcalcification Clusters. Goal:The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malig-nant or benign. In this paper, a novel method for the classification of…
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements Abstract?Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing, and 3D modeling. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation…
Toward Energy-Efficient Cloud Computing Prediction, Consolidation and Over Commitment Abstract? : Toward Energy-Efficient Cloud Computing Prediction, Consolidation < Final Year Projects 2016 >amalgamation and Over Commitment. Energy consumption is the consumption of energy or power. Cloud Computing is a developing technology which is revolutionizing the IT Infrastructure due to its high scalability and flexibility in…
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