A5028361611- Smart Agriculture and AI
- SARS-CoV-2 and COVID-19 Research
- Retinal and Optic Conditions
- Renal Diseases and Glomerulopathies
- Dam Engineering and Safety
- Retinal Imaging and Analysis
- Diagnosis and treatment of tuberculosis
- Multimodal Machine Learning Applications
- Explainable Artificial Intelligence (XAI)
- Handwritten Text Recognition Techniques
- Infrastructure Maintenance and Monitoring
- Neural Networks and Applications
- Retinal Diseases and Treatments
- Vehicle License Plate Recognition
- AI in cancer detection
- Image Processing and 3D Reconstruction
- Glaucoma and retinal disorders
- Spectroscopy and Chemometric Analyses
- Plant Disease Management Techniques
- Tuberculosis Research and Epidemiology
- Pneumonia and Respiratory Infections
- Plant Virus Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Image Retrieval and Classification Techniques
- Machine Learning and Data Classification
Helwan University
2020-2022
Kidney Associates
2021
National University of Computer and Emerging Sciences
2009-2012
Housing and Building National Research Center
2009
Plant diseases compose a great threat to global food security. However, the rapid identification of plant remains challenging and time-consuming. It requires experts accurately identify if is healthy or not type infection. Deep learning techniques have recently been used diagnose diseased plants from digital images help automate disease diagnosis non-experts plants. While many deep applications aims increase detection rate, limitation large parameter size in models persist. In this paper, an...
Immune responses to vaccination are a known trigger for new onset of glomerular disease or flare in susceptible individuals. Mass immunization against SARS-CoV-2 the COVID-19 pandemic provides unique opportunity study vaccination-associated autoimmune kidney diseases. In recent literature, there several patient reports demonstrating temporal association and
Development of optical character recognition for the cursive script such as Pashto requires detailed knowledge shape variation within script. The development image dataset is essential training/testing various OCR approaches. This paper outlines features script, and describes an system.
Accurate optic disc localization is an essential step for a reliable retinal screening system. Existing methods the may fail when encountering distractors such as imprecise boundaries, deceptive edge features and inconsistent contrast in images. This paper presents algorithm (Multi-Scheme method) of disc. The involves prior domain knowledge size, cup-to-disc ratio (CDR) vessel convergence feature to evaluate confidence level candidate region(s) at each thresholding level. Based on level,...
The image CropTool allows users to crop images present on Wikimedia Commons without leaving the family of sites within a web environment. We implemented same workflow for videos with VideoCutTool. Previously, video had be downloaded, changed, and later re-uploaded Commons. previous process took significant amount time requires use outside software, while VideoCutTool authorized work up-to 10x faster. This paper talks about features its implementation. tool is currently live...
In this paper, ANNs are used as tools to find a suitable foundation type among isolated, strip, raft or piled foundations, for given site with known characteristics.The Brainmaker, commercially available neural network simulator, has been in the training of supervised BPNN model. The is accomplished using 114 projects.A comparative study test effect learning rates and number neurons on misclassified thus built subsequent use by geotechnical engineers select type. Moreover, any additional...