A5100782400- Retinal Imaging and Analysis
- Digital Imaging for Blood Diseases
- Retinal Diseases and Treatments
- Air Quality and Health Impacts
- Technology and Data Analysis
- Viral Infections and Vectors
- Medical Image Segmentation Techniques
- Wireless Signal Modulation Classification
- Landslides and related hazards
- Embedded Systems Design Techniques
- Agricultural risk and resilience
- Agricultural Innovations and Practices
- Soil and Unsaturated Flow
- Parasitic Infections and Diagnostics
- Low-power high-performance VLSI design
- Pesticide Exposure and Toxicity
- Artificial Intelligence in Healthcare
- Parallel Computing and Optimization Techniques
- Vehicle emissions and performance
- Dam Engineering and Safety
- Glaucoma and retinal disorders
- Traffic and Road Safety
- Toxoplasma gondii Research Studies
COMSATS University Islamabad
2014-2022
University of Lahore
2022
Istituto Tecnico Industriale Alessandro Volta
2021
Weatherford College
2021
The purpose of the present study was to obtain seroepidemiological information on Neospora caninum infection status sheep and goats in different areas Punjab Province Azad Kashmir (Pakistan). A cross-sectional study, with use a competitive ELISA, showed an overall 27.7% (35 128) (95% confidence interval [CI] ± 7.7%) 8.6% (13 142) CI 4.6%) seroprevalence N. antibodies goats, respectively. difference between goat populations statistically significant (P < 0.05). highest prevalence (37.4%...
Diabetic retinopathy (DR) is a complication where the retina of diabetic patient damaged due to fluid leakage from blood vessels into and may suffer complete blindness if untreated. Hemorrhages Microaneurysms (HMAs) are early signs that appear in at initial stage DR. Early diagnosis HMAs crucial prevent fundus image used for this purpose. We have focused on analysis texture micro-patterns regions interest (ROIs), which suspicious image, detection HMAs. Texture micro-structures ROIs analyzed...
Diabetic retinopathy (DR) is an asymptotic and vision-threatening complication among working-age adults. To prevent blindness, a deep convolutional neural network (CNN) based diagnosis can help to classify less-discriminative small-sized red lesions in early screening of DR patients. However, training models with minimal data challenging task. Fine-tuning through transfer learning useful alternative, but performance degradation, overfitting, domain adaptation issues further demand...
Modulation classification is an essential step of signal processing and has been regularly applied in the field tele-communication. Since variations frequency with respect to time remains a vital distinction among radio signals having different modulation formats, these can be used for feature extraction by converting 1-D into domain. In this paper, we propose scheme Automatic Classification (AMC) using modern architectures Convolutional Neural Networks (CNN), through generating spectrum...