Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning Abstract?Topic-Sensitive Influencer Mining in Interest-Based. Social Media Networks via Hypergraph Learning, Social media is emerging as a new mainstream means of interacting around online media. Social influence mining in social networks is therefore of critical importance in real-world applications such as friend suggestion and…
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…
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…
Tour Package Management Abstract?A novel double diode package (footprint D2PAK compatible) was designed, simulated, and fabricated using an innovative embedding process with electroplated large-area copper contact metallizations on both sides of the chip. The package was also experimentally characterized regarding the thermal performance using two different test methods: < Final Year Projects > a test…
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…
TOWARD MULTI-GIGABIT WIRELESS: DESIGN OF HIGH-THROUGHPUT MIMO DETECTORS WITH HARDWARE-EFFICIENT ARCHITECTURE Abstract?This paper presents a hardware-efficient architecture for 4?4 and 8?8 high-throughput MIMO detectors. The adopted non-constant K-best algorithm tends to keep more survival nodes in top search tree layers and reduce computational complexity in bottom layers as opposed to the conventional K-best algorithm. A…
Toward Optimal Feature Selection in Naive Bayes for Text Categorization Abstract?Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel and efficient feature selection framework based on the Information Theory, which aims to rank the features…
Toward SWSs Discovery: Mapping fromWSDL to OWL-S Based on OntologySearch and Standardization Engine Abstract? Semantic Web Services (SWSs) represent the most recent and revolutionary technology developed for machine-to-machine interaction on the web 3.0. As for the conventional web services, the problem of discovering and selecting the most suitable web service represents a challenge for SWSs…
Toward Transcoding as a Service in a Multimedia Cloud Abstract?Toward Transcoding as a Service in a Multimedia Cloud. In this paper, we investigate the energy-efficient job-dispatching algorithm for transcoding as a service (TaaS) in a multimedia cloud. We aim to minimize the energy consumption of service engines in the cloud while achieving low delay…
Toward Transcoding as a Service in a Multimedia Cloud: Energy-Efficient Job-Dispatching Algorithm Abstract? Toward Transcoding as a Service in a Multimedia. Cloud: Energy-Efficient Job-Dispatching AlgorithmWe investigate the energy-efficient job-dispatching algorithm for transcoding as a service < Final Year Projects 2016 > TaaS in a multimedia cloud. We aim to minimize the energy consumption of service…
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