A
Asifullah Khan
Researcher at Pakistan Institute of Engineering and Applied Sciences
Publications - 232
Citations - 7325
Asifullah Khan is an academic researcher from Pakistan Institute of Engineering and Applied Sciences. The author has contributed to research in topics: Digital watermarking & Computer science. The author has an hindex of 38, co-authored 192 publications receiving 5109 citations. Previous affiliations of Asifullah Khan include Gwangju Institute of Science and Technology & Ghulam Ishaq Khan Institute of Engineering Sciences and Technology.
Papers
More filters
Journal ArticleDOI
Protein subcellular localization of fluorescence imagery using spatial and transform domain features
TL;DR: The proposed SVM-SubLoc approach provides superior prediction performance using the reduced feature space compared with existing approaches, and is fast, sufficiently accurate and simple predictive system.
Journal ArticleDOI
Predicting protein subcellular location: exploiting amino acid based sequence of feature spaces and fusion of diverse classifiers.
TL;DR: A novel approach CE-Ploc is proposed for predicting protein subcellular locations by exploiting diversity both in feature and decision spaces and significant improvement in prediction performance is observed using jackknife and independent dataset tests.
Journal ArticleDOI
COVID-19 detection in chest X-ray images using deep boosted hybrid learning.
Saddam Hussain Khan,Anabia Sohail,Asifullah Khan,Mehdi Hassan,Yeon Soo Lee,Jamshed Alam,Abdul Basit,Saima Zubair +7 more
TL;DR: In this paper, two new deep learning frameworks, Deep Hybrid Learning (DHL) and Deep Boosted Hybrid Learning(DBHL), are proposed for effective COVID-19 detection in X-ray dataset.
Journal ArticleDOI
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network.
TL;DR: In this paper, the authors proposed a new deep CNN based technique for COVID-19 classification in X-ray images, which systematically employs Region and Edge-based operations along with convolution operations.
Journal ArticleDOI
GECC: gene expression based ensemble classification of colon samples
TL;DR: A novel gene expressions based colon classification scheme (GECC) that exploits the variations in gene expressions for classifying colon gene samples into normal and malignant classes is proposed.