Akbar Hussain
Taiyuan University of Technology
8 Papers
11 Citations
Akbar Hussain is an academic researcher from Taiyuan University of Technology. The author has contributed to research in topics: Deep learning & Internal medicine. The author has an hindex of 2, co-authored 7 publications.
Chat about Author
Papers
Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification
Zijuan Zhao,Juanjuan Zhao,Kai Song,Akbar Hussain,Qianqian Du,Yunyun Dong,Jihua Liu,Xiaotang Yang +7 more
TL;DR: A new deep learning and clustering model which combines Deep Belief Network and Fuzzy C-Means, called UDFCMN, is proposed, to cluster lung cancer patients from lung CT images, and outperformance of this approach is revealed as compared to the state-of-the-art unsupervised classification methods.
47
Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks
TL;DR: The contrast conversion of T1 and T2 in MRI is validated, which can help to shorten the imaging time, improve the imaging quality, and effectively assist doctors with diagnoses.
14
Optimal Rating Prediction in Recommender Systems
Bilal Ahmed,Li Wang,Waqar Hussain,M. Abdul Qadoos,Zheng Tingyi,Muhammad Amjad,Syed Badar-ud-Duja,Akbar Hussain,Muhammad Raheel +8 more
- 15 May 2019
TL;DR: A new mechanism to improve the prediction accuracy in recommendations is presented, which includes a discretization step and chi-square algorithm for attribute selection and results show that the technique performs well and minimize the error ratio.
4
Region-based Teams Ranking in the Game of Cricket using PageRank Algorithm
TL;DR: The proposed Region-wise Team Rank (RWTR) is an extension of the PageRank algorithm to rank cricket teams across the region and reflects more the flow of the game compared to the traditional ranking.
A Region-Based and a Unified Team’s Strength in the Game of Cricket Using Principal Component Analysis (PCA)
Akbar Hussain,Yan Qiang +1 more
- 06 Nov 2019
TL;DR: The proposed method provides quite promising insights into a region-based and a unified team’s strength in cricket sports.
1