| Courses Software Training / Hardware Training / Networking / Telecoms Training | Locality Eiswari Nagar |
All the following titles are 2015-2016 Projects and all are to be ready to sale at the rate of 20,000 Rs.
1) DOTNET - Detection and Rectification of Distorted Fingerprints - IMAGE PROCESSING
2) MATLAB - Learning Fingerprint Reconstruction: From Minutiae to Image - IMAGE PROCESSING
3) DONET - Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation - CLOUD COMPUTING
4) DOTNET - Key-Aggregate Searchable Encryption (KASE)for Group Data Sharing via Cloud Storage - CLOUD COMPUTING
5) DOTNET - A Dynamic Secure Group Sharing Framework in Public Cloud Computing - CLOUD COMPUTING
6) JAVA - Coordinated Multi-Point Transmission with Imperfect CSI and Other-Cell Interference - NETWORKING AND COMMUNICATIONS
7) C#.NET - Energy-Efficient Communications in MIMO Systems Based on Adaptive Packets and Congestion Control With Delay Constraints - NETWORKING AND COMMUNICATIONS
8) JAVA CLOUDSIM - Optical load-balancing tradeoffs in wavelength-routing cloud data centers - NETWORKING + CLOUD COMPUTING
9) JAVA - Fuzzy based energy efficient multicast routing for ad-hoc network - NETWORK & NETWORK SECURITY
10) JAVA - Secure Distributed Deduplication Systems with Improved Reliability - NETWORK SECURITY
11) JAVA - Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel - NETWORKING AND COMMUNICATIONS
12) DOTNET - Enabling Cloud Storage Auditing With Key-Exposure Resistance - CLOUD COMPUTING + NETWORK SECURITY
13) DOTNET - A Computational Dynamic Trust Model for User Authorization - NETWORK SECURITY
14) DOTNET - An Empirical Model of Gender Based Human Trait Identification from Blogs - Computational Intelligence & Communication Technology
15) DOTNET - Serving the readers of scholarly documents: A grand challenge for the introspective digital library - Data Mining
16) DOTNET - Dynamic Resource Discovery Protocol for Software Defined Networks - Communication Letters
17) JAVA - Solutions for Processing K Nearest Neighbor Joins for Massive Data on MapReduce - Parallel and Distributed Systems
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