About the Course
We are conducting an industrial oriented Academic project Training from the company end, For students who are interested in doing real time project for their academic, and willing to learn and do the projects.
only for limited students we will be able to help for the better future.
We also provide guidance to publish IEEE papers.
Final year Diploma, B.E, M.Tech,M.S BCA, MCA Do it yourself projects, Live projects, project assistance with project report and PPT.
Academic Projects | Live projects Bangalore | Real time projects | Academic project guidance Mangalore | Embedded Projects mangalore | Engineering Project Consultants mangalore
Engineering projects jobs Bangalore | Academic Project Guidance for Electronics | latest engineering projects Bangalore | Free Synopsis | Latest project synopsiss | recent ieee projects | recent engineering projects | innovative projects |
Projects on VLSI| 8051 | PIC | ARM7 | Renesas | MATLAB | Zigbee| RF| Printer| MMC | Audio based | GSM| GPS | Ethernet | Touchscreen |
RFID | FingerPrint | CAN | PIR | Graphical LCD | Robotics | Image processing | Communication Based | OFDM | Biomedical | Signal Processing| IEEE 2013 2014 2012
Also training on how to present and face viva.
Topics CoveredIEEE 2013 PROJECTS,
A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information,
Image Segmentation Using a Sparse Coding Model of Cortical Area V1,
How to SAIF-ly Boost Denoising Performance,
Nonlocally Centralized Sparse Representation for Image Restoration,
Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling,
Acceleration of the Shiftable Algorithm for Bilateral Filtering and Nonlocal Means,
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking,
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain,
Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum,
Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,
Demosaicking of Noisy Bayer-Sampled Color Images With Least-Squares Luma-Chroma Demultiplexing and Noise Level Estimation,
Fuzzy Clustering with Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images,
Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation,
Re initialization-Free Level Set Evolution via Reaction Diffusion,
Online Object Tracking With Sparse Prototypes,
Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption,
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization,
Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts,
free matlab code
Who should attendM.tech students,BE students, M tech in digital communication,B tech in biomedical,B tech in telecommunication
Pre-requisitesKnowledge on Image processing,Signal processing,Wireless Communication
What you need to bringNotebook,Laptop"
Key TakeawaysFinal year projects,matlab ieee projects,academic project guidance,ieee paper publishing,journal paper publishing,ieee transactions