Showing 2857–2868 of 3871 results

  • Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy

    Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy

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    Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy Abstract? In mobile communication, spatial queries pose a serious threat to user location privacy because the location of a query may reveal sensitive information about the mobile user. In this paper, we study approximate k nearest neighbor (kNN) queries where the mobile user queries…

  • Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

    Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

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    4,500

    Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification Abstract-Storage requirements for visual data have been increasing in recent years, following the emergence of many highly interactive multimedia services and applications for mobile devices in both personal and corporate scenarios. This has been a key driving factor for the adoption…

  • Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

    Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

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    4,500

    Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories Abstract-Storage requirements for visual data have been increasing in recent years, following the emergence of many highly interactive multimedia services and applications for mobile devices in both personal and corporate scenarios. This has been a key driving factor for the adoption of cloud-based data outsourcing solutions. However,…

  • Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset

    Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset

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    4,500

    Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset Abstract– Clustering techniques have been widely adopted in many real world data analysis applications, such as customer behavior analysis, targeted marketing, digital forensics, etc. With the explosion of data in today?s big data era, a major trend to handle a clustering over large-scale datasets is outsourcing…

  • Pragmatic Integration of an SRAM Row Cache in Heterogeneous 3-D DRAM Architecture Using TSV

    Pragmatic Integration of an SRAM Row Cache in Heterogeneous 3-D DRAM Architecture Using TSV

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    4,500

    Pragmatic Integration of an SRAM Row Cache in Heterogeneous 3-D DRAM Architecture Using TSV Abstract?As scaling DRAM cells becomes more challenging and energy-efficient DRAM chips are in high demand, the DRAM industry has started to undertake an alternative approach to address these looming issues-that is, to vertically stack DRAM dies with through-silicon-vias (TSVs) using 3-D-IC…

  • Pre-Charged Local Bit-Line Sharing SRAM Architecture for Near-Threshold Operation

    Pre-Charged Local Bit-Line Sharing SRAM Architecture for Near-Threshold Operation

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    4,500

    Pre-Charged Local Bit-Line Sharing SRAM Architecture for Near-Threshold Operation Abstract– In the first place, a pre-charged local bit-line sharing (PCLBS) static random access memory (SRAM) for nearthreshold operation is proposed. In previous local bit-line sharing SRAMs, such as average-8T and full-swing local bit-line (FSLB) SRAMs, multiple bit-cells share a local bit-line pair with a small…

  • Precharge-Free, Low-Power Content-Addressable Memory

    Precharge-Free, Low-Power Content-Addressable Memory

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    5,500

    Precharge-Free, Low-Power Content-Addressable Memory Abstract?Content-addressable memory (CAM) is the hardware for parallel lookup/search. The parallel search scheme promises a high-speed search operation but at the cost of high power consumption. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution…

  • Precise VLSI Architecture for AI Based 1-D/ 2-D Daub-6 Wavelet Filter Banks With Low Adder-Count

    Precise VLSI Architecture for AI Based 1-D/ 2-D Daub-6 Wavelet Filter Banks With Low Adder-Count

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    4,500

    Precise VLSI Architecture for AI Based 1-D/ 2-D Daub-6 Wavelet Filter Banks With Low Adder-Count Abstract?A multiplier-less architecture based on algebraic integer representation for computing the Daubechies 6-tap wavelet transform for 1-D/2-D signal processing is proposed. This architecture improves on previous designs in a sense that it minimizes the number of parallel 2-input adder circuits….

  • Predicting Location Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns.

    Predicting Location Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns.

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    4,500

    Predicting Location Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns Abstract?Predicting Location Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns. Winsight. In addition, fundamental findings in the deep-rooted regularity of human mobility Are providing solid scientific support for the development of predictive models. 1 despread adoption of location-enabled systems…

  • Java Projects—Data Mining

    Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering

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    Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering Abstract? Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering. 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″…

  • .NET Projects - data mining

    Predicting the Analysis of Heart Disease Symptoms Using Medicinal Data Mining Methods

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    Predicting the Analysis of Heart Disease Symptoms Using Medicinal Data Mining Methods Abstract?Predicting the Analysis of Heart Disease Symptoms Using Medicinal Data Mining Methods. Heart disease (HD) is a major cause of morbidity and mortality in the modern society. Medical diagnosis is extremely important but complicated task that should be performed accurately and efficiently. This…

  • Predicting User-Topic Opinions in Twitter with Social and Topical Context

    Predicting User-Topic Opinions in Twitter with Social and Topical Context

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    4,500

    Predicting User-Topic Opinions in Twitter with Social and Topical Context Abstract? With popular microblogging services like Twitter, users are able to online share their real-time feelings in a more convenient way. The user generated data in Twitter is thus regarded as a resource providing individuals? spontaneous emotional information, and has attracted much attention of researchers….

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