A5030869564- COVID-19 diagnosis using AI
- AI in cancer detection
- Water Quality Monitoring Technologies
- Medical Imaging and Analysis
- Image Processing Techniques and Applications
- Software Engineering Research
- Impact of Light on Environment and Health
- Green IT and Sustainability
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
- Air Quality Monitoring and Forecasting
- Advanced Software Engineering Methodologies
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Digital Imaging for Blood Diseases
- Mycobacterium research and diagnosis
University of Karachi
2022-2024
Hamdard University
2024
Karachi Institute of Economics and Technology
2023
University of Sargodha
2021
University of Lahore
2021
NED University of Engineering and Technology
2019
This research comprises experiments with a deep learning framework for fully automating the skull stripping from brain magnetic resonance (MR) images. Conventional techniques segmentation have progressed to extent of Convolutional Neural Networks (CNN). We proposed and experimented contemporary variant based on mask region convolutional neural network (Mask–RCNN) all anatomical orientations MR trained system scratch build model classification, detection, segmentation. It is validated by...
The prompt spread of COVID-19 has emphasized the necessity for effective and precise diagnostic tools. In this article, a hybrid approach in terms datasets as well methodology by utilizing previously unexplored dataset obtained from private hospital detecting COVID-19, pneumonia, normal conditions chest X-ray images (CXIs) is proposed coupled with Explainable Artificial Intelligence (XAI). Our study leverages less preprocessing pre-trained cutting-edge models like InceptionV3, VGG16, VGG19...
COVID-19 is a transferable disease inherited from the SARS-CoV-2 virus. A total of 594 million people have been infected, and 6.4 human beings died due to COVID-19. The fastest way diagnose by radiography. Deep learning has most popular technique for image classification during last decade. This paper aims examine contributions machine detection using Learning explores overall application convolutional neural networks some famous state-of-the-art deep pre-trained models. In this research,...
05Apr 2019 TUBERCULOSIS DIAGNOSIS USING X-RAY IMAGES. Saad Akbar , Najmi Ghani Haider And Humera Tariq. Postgraduate Student, NED University of Engineering & Technology, Karachi, Pakistan. Professor, Department Computer Science Information Assistant Science,
Estimating the effort of mobile applications is essential because many are now working on platforms. A need exists to understand difference between Effort Estimation for and other computer applications. The last decade has seen a revolution in use applications, which caused an exponential increase total number phone users worldwide. first objective this work related software industry, that identify techniques used calculating also dwells into identification accuracy was achieved by using...
Environment is a very important factor for humans & other species to maintain their healthy life style. Due growth of Industries we are facing serious environmental concerns which affecting on health as well different natural resources like Air, Water etc. To take preventive actions Environmental Monitoring plays role in the development Clean Green Environment. With Advancement technology iot, AI ML can make our word better but without data it's difficult work betterment urban areas. This...