December 1, 2016
FTM1615-A-Feature-Learning-and-Object-Recognition-Framework-for-Underwater-Fish-Images-IEEE-MATLAB-Project-2016-2017

FTM1615 A Feature Learning and Object Recognition Framework for Underwater Fish Images – IEEE MATLAB Project 2016 – 2017

FTM1615 A Feature Learning and Object Recognition Framework for Underwater Fish Images – IEEE MATLAB Project 2016 – 2017 ABSTRACT: Live fish recognition is one of the […]
December 1, 2016
FTM1614-Dynamic-Facial-Expression-Recognition-With-Atlas-Construction-and-Sparse-Representation-IEEE-MATLAB-Project-2016-2017

FTM1614 Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation – IEEE MATLAB Project 2016 – 2017

FTM1614 Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation – IEEE MATLAB Project 2016 – 2017  ABSTRACT: A new dynamic facial expression recognition method is […]
December 1, 2016
FTN1608 Resisting Black hole Attacks on MANETs - IEEE NS2Project 2016 - 2017

FTN1608 Resisting Black hole Attacks on MANETs – IEEE NS2Project 2016 – 2017

FTN1608 Resisting Black hole Attacks on MANETs –  IEEE NS2Project 2016 – 2017 ABSTRACT: MANET routing protocols are designed based on the assumption that all nodes […]
December 1, 2016
FTM1613-Discriminant-Incoherent-Component-Analysis-IEEE-MATLAB-Project-2016-2017

FTM1613 Discriminant Incoherent Component Analysis – IEEE MATLAB Project 2016 – 2017

FTM1613 Discriminant Incoherent Component Analysis – IEEE MATLAB Project 2016 – 2017 ABSTRACT: Face images convey rich information which can be perceived as a superposition of low-complexity […]
December 1, 2016
FTN1607 Top-k Query Processing and Malicious Node Identification Based on Node Grouping in MANETs - IEEE NS2 Project 2016 - 2017

FTN1607 Top-k Query Processing and Malicious Node Identification Based on Node Grouping in MANETs – IEEE NS2 Project 2016 – 2017

FTN1607 Top-k Query Processing and Malicious Node Identification Based on Node Grouping in MANETs  –  IEEE NS2 Project 2016 – 2017 ABSTRACT: A new approach of […]