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RESEARCH PROJECT

Project 1: Homomorphic Filtering

  • This project is about image processing to remove noise from raw image
  • The step to remove noise in Image are :-
  • Add noise in raw image
  • Build 3 class of homomorphic filtering
  • Represent the data output in MSE

Project 2: Emotion Recognition using SVM

Project 3: Malay Command Recognition using ANN

  • This project is to give command in malay language to on or off electrical appliance like fan and light
  • Four command is choose to BUKA KIPAS, TUTUP KIPAS, BUKA LAMPU and TUTUP LAMPU
  • The method used in this project are Signal filtering using low pass filter, MFCC as feature extraction and ANN as classification
  • This is my final year project the thesis and the slide will be upload togther.

Project 4: Steel defect detection using Transfer Learning

  • This project is done analysis on steel defect detection performance using several types of transfer learning
  • In this project 2 types of dataset is used.
  • NEU: 6 class of steel defects
  • SERVESTAL: with defect and without defect
  • In this project GUI is include for NEU dataset on the best transfer learning method
  • This project is publish in IOP Publication https://iopscience.iop.org/article/10.1088/1742-6596/1755/1/012041/meta

Project 5: Classification of Multiple Visual Field using CNN

Project 6: Sentiment Analysis for Twitter Data

  • This project is analyse tweet done by Malaysian during 30 day before and after election day 2018.
  • The package used to analyse the data is tweepy

Project 7: Malay Command Recognition using Audio Fingerprint Method

  • This project using an Audio Fingerprint method that follow the hashing algorithm to detect command given by the user.
  • Nine command is choose for smart house application BUKA KIPAS, TUTUP KIPAS, BUKA LAMPU, TUTUP LAMPU, BUKA TV, TUTUP TV, and SIARAN 1, 2 and 3

Project 8: Modelling Composite Spherical Assembledge Method

  • This project is to analyse different input of Spherical model insert by the user.
  • A graph will be plot based on the user input
  • The shape of the graph will be analyse

Project 9: Thermal Image Detection

  • This project is to detect the temperature on the forehead of a human
  • The color display by the thermal image indicate the temperature of the human
  • This project is simple code of temperature detection so the automatic detection of forehead is not develop.