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Syed Hamad Shirazi
Syed Hamad Shirazi
Deptt of CS & IT Hazara University Mansehra KPK Pakistan
Verified email at hu.edu.pk
Title
Cited by
Cited by
Year
Innovation performance in digital economy: does digital platform capability, improvisation capability and organizational readiness really matter?
W Jun, MH Nasir, Z Yousaf, A Khattak, M Yasir, A Javed, SH Shirazi
European Journal of Innovation Management, 1-19, 2021
962021
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, I Siddiqi, MI Razzak
Neurocomputing 177, 228-241, 2016
912016
Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features
S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, MI Razzak
Neural computing and applications 28, 219-231, 2017
802017
Deep transfer learning for alzheimer neurological disorder detection
A Ashraf, S Naz, SH Shirazi, I Razzak, M Parsad
Multimedia Tools and Applications, 1-26, 2021
702021
Efficient leukocyte segmentation and recognition in peripheral blood image
SH Shirazi, AI Umar, S Naz, MI Razzak
Technology and Health Care 24 (3), 335-347, 2016
552016
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey
S Naz, AI Umar, SH Shirazi, SB Ahmed, MI Razzak, I Siddiqi
Education and Information Technologies 21, 1225-1241, 2016
532016
Robust method for semantic segmentation of whole-slide blood cell microscopic images
M Shahzad, AI Umar, MA Khan, SH Shirazi, Z Khan, W Yousaf
Computational and mathematical methods in medicine 2020, 2020
452020
Content-based image retrieval using texture color shape and region
SH Shirazi, AI Umar, S Naz, I Razzak, B AlHaqbani
Deakin University, 2016
392016
Challenges of Urdu named entity recognition: a scarce resourced language
S Naz, AI Umar, SH Shirazi, SA Khan, I Ahmed, AA Khan
Research Journal of Applied Sciences, Engineering and Technology 8 (10 …, 2014
362014
Extreme learning machine based microscopic red blood cells classification
SH Shirazi, AI Umar, NU Haq, S Naz, MI Razzak, A Zaib
Cluster Computing 20 (76), 1-11, 2017
352017
Image based analysis of meibomian gland dysfunction using conditional generative adversarial neural network
ZK Khan, AI Umar, SH Shirazi, A Rasheed, A Qadir, S Gul
BMJ Open Ophthalmology 6 (1), e000436, 2021
182021
An Ocr system for printed Nasta'liq script: A segmentation based approach
S Naz, AI Umar, SB Ahmed, SH Shirazi, MI Razzak, I Siddiqi
17th IEEE International Multi Topic Conference 2014, 255-259, 2014
172014
Curvelet based offline analysis of SEM images
SH Shirazi, N Haq, K Hayat, S Naz, I Haque
PloS one 9 (8), e103942, 2014
172014
Accurate microscopic red blood cell image enhancement and segmentation
SH Shirazi, AI Umar, NU Haq, S Naz, MI Razzak
Bioinformatics and Biomedical Engineering: Third International Conference …, 2015
142015
STATISTICAL FEATURES EXTRACTION FOR CHARACTER RECOGNITION USING RECURRENT NEURAL NETWORK.
S Naz, AI Umar, SB Ahmed, R Ahmad, SH Shirazi, MI Razzak, A Zaman
Pakistan Journal of Statistics 34 (1), 2018
132018
Automatic eczema classification in clinical images based on hybrid deep neural network
A Rasheed, AI Umar, SH Shirazi, Z Khan, S Nawaz, M Shahzad
Computers in Biology and Medicine 147, 105807, 2022
122022
Identification of anemia and its severity level in a peripheral blood smear using 3-tier deep neural network
M Shahzad, AI Umar, SH Shirazi, Z Khan, A Khan, M Assam, A Mohamed, ...
Applied Sciences 12 (10), 5030, 2022
122022
Automated pathology image analysis
SH Shirazi, S Naz, MI Razzak, AI Umar, A Zaib
Soft Computing Based Medical Image Analysis, 13-29, 2018
112018
Research Article Learning Programming through Multimedia and Dry-run
S Naz, SH Shirazi, T Iqbal, D Irfan, M Junaid, Y Naseer
Research Journal of Applied Sciences, Engineering and Technology 7 (21 …, 2014
112014
Patch-CNN: Deep learning for logo detection and brand recognition
W Yousaf, A Umar, SH Shirazi, Z Khan, I Razzak, M Zaka
Journal of Intelligent & Fuzzy Systems 40 (Preprint), 3849-3862, 2021
92021
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Articles 1–20