User profiles for "author:Syed Hamad Shirazi"
Syed Hamad ShiraziDeptt of CS & IT Hazara University Mansehra KPK Pakistan Verified email at hu.edu.pk Cited by 813 |
Innovation performance in digital economy: does digital platform capability, improvisation capability and organizational readiness really matter?
Innovation performance in digital economy: does digital platform capability, improvisation
capability and organizational readiness really matter? | Emerald Insight Books and journals Case …
capability and organizational readiness really matter? | Emerald Insight Books and journals Case …
Deep transfer learning for alzheimer neurological disorder detection
Alzheimer's disease is becoming common in the world with the time. It is an irreversible and
progressive brain disorder that slowly destroys the memory and thinking skills and …
progressive brain disorder that slowly destroys the memory and thinking skills and …
[PDF][PDF] Robust method for semantic segmentation of whole-slide blood cell microscopic images
Previous works on segmentation of SEM (scanning electron microscope) blood cell image
ignore the semantic segmentation approach of whole-slide blood cell segmentation. In the …
ignore the semantic segmentation approach of whole-slide blood cell segmentation. In the …
Automatic eczema classification in clinical images based on hybrid deep neural network
The healthcare sector is the highest priority sector, and people demand the highest services
and care. The fast rise of deep learning, particularly in clinical decision support tools, has …
and care. The fast rise of deep learning, particularly in clinical decision support tools, has …
[HTML][HTML] Identification of anemia and its severity level in a peripheral blood smear using 3-tier deep neural network
The automatic detection of blood cell elements for identifying morphological deformities is
still a challenging research domain. It has a pivotal role in cognition and detecting the …
still a challenging research domain. It has a pivotal role in cognition and detecting the …
Extreme learning machine based microscopic red blood cells classification
The digitalization of blood slides introduced pathology to a new era. Despite being the most
powerful prognostic tool; automated analysis of microscopic blood smear images is still not …
powerful prognostic tool; automated analysis of microscopic blood smear images is still not …
[HTML][HTML] Telehealth for COVID-19: A conceptual framework
W Yousaf, AI Umar, SH Shirazi, M Fayaz… - Journal of Healthcare …, 2023 - hindawi.com
The world has been going through the global crisis of the coronavirus (COVID-19). It is a
challenging situation for every country to tackle its healthcare system. COVID-19 spreads …
challenging situation for every country to tackle its healthcare system. COVID-19 spreads …
[PDF][PDF] Content-based image retrieval using texture color shape and region
Interests to accurately retrieve required images from databases of digital images are
growing day by day. Images are represented by certain features to facilitate accurate …
growing day by day. Images are represented by certain features to facilitate accurate …
[HTML][HTML] QoS-aware cost minimization strategy for AMI applications in smart grid using cloud computing
Cloud computing coupled with Internet of Things technology provides a wide range of cloud
services such as memory, storage, computational processing, network bandwidth, and …
services such as memory, storage, computational processing, network bandwidth, and …
Challenges of Urdu named entity recognition: a scarce resourced language
S Naz, AI Umar, SH Shirazi, SA Khan… - Research Journal of …, 2014 - airitilibrary.com
In this study, we present a brief overview of Named Entity Recognition (NER) system,
various approaches followed for NER systems and finally NER systems for Urdu language …
various approaches followed for NER systems and finally NER systems for Urdu language …