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IEEE 2017 Dotnet Projects - Best Projects centre In Chennai

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uniq technologies is the best project centre in chennai.we are doing IEEE 2017 final year projects in dotnet for CSE/IT Students. We have experienced developers in C#, VB, C++ and many other languages. When these professionals combine their skills with the power of .NET, the solution they provide is truly unique and has the best quality. We get support from developers working in MNCs. That means, our .NET projects are more than mere student projects: They are professional projects on par with industry standards. If you wish to take your projects beyond your academics and host them online, we too provide such commercial facilities through our webhosting service. Congratulations! You are just getting started your association with The King of Projects in Chennai.

Testimonials

HI

I am Joice, I am doing my B.E.(cse) in SSN Engineering College, I got very confused and nervous on thinking about my IEEE final year projects. They I came to Know about UNIQ Technologies ,They Offering IEEE 2017 Final Year projects for Engineering students in JAVA, Dot Net, Android, Oracle and PHP technologies. I choose web mining in dotnet platform. Their Explination and guidence was good. They are the best project centre in chennai. they are the best in doing IEEE 2017 final year projects.Best Project centre in Chennai,IEEE 2017 Dotnet Projects,Final Year Projects for cse/it Students,IEEE Final Year Projects in Java/dotnet/android/oracle,Application Projects in PHP

UNIQ Technologies is the best project centre in Chennai, UNIQ Technologies offers IEEE 2017 Final Year projects for Engineering students in JAVA, Dot Net, Android, Oracle and PHP technologies. uniq Technologies are doing IEEE 2017 Dotnet Final Year Projects For Engineering Students. by Karthick Alpha College

I am Vinodhini. I did my BE-CSE in Panimalar Engineering College. I did my final year project in DOTNET Platform. Initially I don’t know ABC in DOTNET but at present my status is capable of teaching others. Even I felt hard to understand my project in the domain of "Grid Computing" Which makes me easier to understand by Uniq. I felt that the time in Uniq shaped me technically. I am sure that I will Suggest my juniors to do their projects in Uniq. And thanks once again.

IEEE 2017 Project List

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IEEE 2017 DOT NET PROJECTS



I. DotNet based IOT

1. A Fuzzy Model-based Integration Framework for Vision-based Intelligent
    Surveillance Systems(IEEE 2017).
2. Learning communities in social networks and their relationship with the
    MOOCs (IEEE 2017).
3. Unsupervised Gesture Segmentation by Motion Detection of a Real-Time Data
     Stream(IEEE 2017).

II. DotNet based CLOUD COMPUTING

1. Dynamic Outsourced Auditing Services for Cloud Storage Based on
    Batch-Leaves- Authenticated Merkle Hash Tree(IEEE 2017).
2. Fast Phrase Search for Encrypted Cloud Storage (IEEE 2017).
3. An Online Auction Mechanism for Dynamic Virtual Cluster Provisioning in
     Geo-Distributed Clouds (IEEE 2017).
4. Efficient Secure Outsourcing of Large-scale Sparse Linear Systems of
    Equations (IEEE 2017).
5. A Probabilistic Mechanism Design for Online Auctions (IEEE 2017).
6. Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted
    Data (IEEE 2017).

III. DotNet based ARTIFIAL INTELLIGENCE

1. An Energy-efficient Speech Extraction Processor for Robust User Speech
     Recognition in Mobile Head-mounted Display Systems (IEEE 2017).
2. Efficient Clue-based Route Search on Road Networks (IEEE 2017).
3. Facial Expression Recognition in Video with Multiple Feature Fusion

IV. DotNet based BIG DATA

1. Query-Based Learning for Dynamic Particle Swarm Optimization(IEEE 2017).
2. Adaptive Clustering for Dynamic IoT Data Streams (IEEE 2017).
3. On Stock Trading Via Feedback Control When Underlying Stock Returns Are
     Discontinuous(IEEE 2017).

V. DotNet based BIO MEDICAL

1. Localization of Wireless Capsule Endoscope: A Systematic Review (IEEE 2017).
2. Comparison Of Brain Tumor Mri Classification Methods Using Probabilis Tic
     Features (IEEE 2017).

VI. DotNet based DATA MINING

1. Keyword Search on Temporal Graphs (IEEE 2017).
2. Recommendation Generation Using Typicality Based Collaborative
     Filtering (IEEE 2017).
3. A Mobility Analytical Framework for Big Mobile Data in Densely Populated
     Area(IEEE 2017).

VII. DotNet based IMAGE PROCESSING

1. Segmentation- and Annotation-Free License Plate Recognition With Deep
     Localization and Failure Identification (IEEE 2017).
2. Performance Evaluation of Visual Tracking Algorithms on Video Sequences With
     Quality Degradation (IEEE 2017).
3. Facial Expression Recognition in Video with Multiple Feature Fusion

VIII. DotNet based INFORMATION SECURITY

1.Efficient Joint Encryption and Data Hiding Algorithm for Medical Images
    Security (IEEE 2017).
2. Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style
     Recognition based on Hierarchical MRFs (IEEE 2017).
3. A Software Agent Enabled Biometric Security Algorithm for Secure File Access in
     Consumer Storage Devices(IEEE 2017).

IX. DotNet based MOBILE APPLICATION

1. Understanding the Physical Safety, Security, and Privacy Concerns of People with
     Visual Impairments (IEEE 2017).
2. A Mobility Analytical Framework for Big Mobile Data in Densely Populated
     Area (IEEE 2017).

X. DotNet based NETWORK SECURITY

1.Reversible Data Hiding in Encrypted Images Using Reformed JPEG Compression
     (IEEE 2017).
2. ProGuard: Detecting Malicious Accounts in Social-Network-Based Online
     Promotions(IEEE 2017).
3. An adaptive tri-pixel unit stenography algorithm using the least two significant
     bits (IEEE 2017).

XI. DotNet based NETWORKS

1. An Efficient Strategy for Online Performance Monitoring of Datacenters via
     Adaptive Sampling (IEEE 2017).
2. Cooperative Jamming Aided Secrecy Enhancement in P2P Communications with
     Social Interaction Constraints (IEEE 2017).

XII. DotNet based SECURE TRASNMISSION

1. An Agent-based Integrated Self-evolving Service Composition Approach in
     Networked Environments (IEEE 2017).
2. QoS Dependency Modeling for Composite Systems(IEEE 2017).

XIII. DotNet based VISUAL CRYPTOGRAPHY

1. Research on the Security of Microsoft’s Two-layer Captcha (IEEE 2017).

XIV. DotNet based WEB MINING

1. Image Re-ranking based on Topic Diversity(IEEE 2017).
2. A Survey of Heterogeneous Information Network Analysis(IEEE 2017.)
3. Rating Credits of Online Merchants Using Negative Ranks(IEEE 2017).