Computer Vision and Pattern Recognition Lab

2017
- A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks
  
  Computational Vision and Biomechanics; Springer - Lecture Notes, 2017
  
  Abdul Kawsar Tushar, Akm Ashiquzzaman, Md. Rashedul Islam, Afia Afrin
- A Hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance,
  
  Artificial Life and Computational Intelligence, Springer - Lecture Notes Volume 10142, pp 180-192, 2017
  
  Manjurul Islam, Rashedul Islam and Jong-Myon Kim
- Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN
  
  Artificial Life and Computational Intelligence, Springer - Lecture Notes Volume 10142, pp 193-203, 2017
  
  Dileep Appana, Rashedul Islam and Jong-Myon Kim
2016
- Multi-core Accelerated Discriminant Feature Selection for Real-time Bearing Fault Diagnosis
  
  Trends in Applied Knowledge-Based Systems and Data Science, Springer - Lecture Notes, vol. 9799, pp 645-656, 2016.
  
  Md. Rashedul Islam, Md. Sharif Uddin, Sheraz Khan, Jong-Myon Kim, and Cheol-Hong Kim
2015
- Maximum class separability-based discriminant feature selection using a GA for reliable fault diagnosis of induction motors
  
  Advanced Intelligent Computing Theories and Application, Springer - Lecture Notes, vol 9227, pp 526-537, 2015
  
  Md. Rashedul Islam, Sheraz A. Khan, and Jong-Myon Kim