A5079490868- Traffic Prediction and Management Techniques
- Internet of Things and AI
- Image Retrieval and Classification Techniques
- Smart Systems and Machine Learning
- Algorithms and Data Compression
- IoT and Edge/Fog Computing
- Image and Signal Denoising Methods
- Economic and Technological Systems Analysis
- Medical Image Segmentation Techniques
- Diabetic Foot Ulcer Assessment and Management
- Brain Tumor Detection and Classification
- GNSS positioning and interference
- Face and Expression Recognition
- IoT and GPS-based Vehicle Safety Systems
- Cutaneous Melanoma Detection and Management
- Digital Imaging for Blood Diseases
- Robotics and Automated Systems
- Analog and Mixed-Signal Circuit Design
- Skin Protection and Aging
- Handwritten Text Recognition Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Electrical Measurement Techniques
- Gait Recognition and Analysis
- Blockchain Technology Applications and Security
- Power Line Communications and Noise
COMSATS University Islamabad
2014-2024
University of Electronic Science and Technology of China
2017-2019
Abstract Brain tumor is a group of anomalous cells. The brain enclosed in more rigid skull. abnormal cell grows and initiates tumor. Detection complicated task due to irregular shape. proposed technique contains four phases, which are lesion enhancement, feature extraction selection for classification, localization, segmentation. magnetic resonance imaging (MRI) images noisy certain factors, such as image acquisition, fluctuation field coil. Therefore, homomorphic wavelet filer used noise...
Smart Traffic System (STS) is a one of the important aspect for future smart city. STS more expensive and highly configurable to provide better quality service public traffic management. This paper proposes low cost by deploying update instantly. Low vehicle detecting sensors are fixed in middle road every 500 meters. Internet Things (IoT) being used attain data quickly send it processing. The Real time streaming sent Big Data analytics. There several analytical scriptures analyze density...
The Vehicular Ad Hoc Network (VANET) plays a vital role in the development of smart cities, especially ensuring vehicles' safety on roads. However, VANET wireless-based networks face some challenges such as security, stability, communication, and reliability. To resolve these issues, we propose fuzzy cluster head selection scheme Cognitive Radio (CR) VANET, which uses CR technology for spectrum sensing algorithm. In this technology, free spectrums primary user are utilized by secondary users...
DFU is one of the most spreading diseases now day approximately more than million patients suffer due to this disease. Undergo procedure removing their lower limb body reason that they are not able enough recognize disease and get proper treatment from doctors or physicians. Therefore, there an urgent need developing a Computer-Aided Design (CAD) system can easily detect Diabetic Foot Ulcer (DFU). in study, pre-trained ResNet-50 model modified classical-quantum utilized for diabetic foot...
<title>Abstract</title> The approach of image processing and deep learning has shown to be a breakthrough in the field medical diagnosis such as dermoscopic analysis for skin cancer recognition their classification. Skin cases are increasing every year pose significant threat health. In recent studies, convolutional neural network (CNN) accomplished remarkable success classifying images. CNN is limited extracting features from minor objects input fails pinpoint regions. Consequently,...
Traffic congestion in major cities is very common problem. Every modern city wants to handle this Being stuck traffic jam wastes so much time and money of citizens. can be minimized by timely inform about its happening the concerned department also incoming traffic. For we proposed an approach which use satellites detect on real time. This not only informs but provides a broader view Plenty are available around earth. High resolution video taken from specific point space with cameras....
The basic motivation behind this research work is to assist enormous number of disable people enhance their capabilities regardless disability. In particular, we have focused and addressed the deafness dumbness disability in human beings on technological basis. aim was design a system help such people. Sign language has been used as our database whole recognition process. gestures read by comparison with available signs database. comprised three major parts. 1) Acquiring images real time...