A5064615553- Image Enhancement Techniques
- Brain Tumor Detection and Classification
- Advanced Vision and Imaging
- Dementia and Cognitive Impairment Research
- Functional Brain Connectivity Studies
- ECG Monitoring and Analysis
- Advanced Image Processing Techniques
- Sensorless Control of Electric Motors
- Advanced Control Systems Design
- Image and Object Detection Techniques
- Online Learning and Analytics
- Image Processing Techniques and Applications
- Video Surveillance and Tracking Methods
- Iterative Learning Control Systems
- Frequency Control in Power Systems
- Cardiovascular Function and Risk Factors
- Topic Modeling
- Blind Source Separation Techniques
- Medical Image Segmentation Techniques
- Advanced Image Fusion Techniques
- EEG and Brain-Computer Interfaces
- Advanced DC-DC Converters
- Health, Environment, Cognitive Aging
- Advanced Adaptive Filtering Techniques
- Face recognition and analysis
Minia University
2015-2025
Cairo University
1998-2022
Alexandria University
2022
Wuhan National Laboratory for Optoelectronics
2020
Huazhong University of Science and Technology
2020
Face masks are widely used in various industries and jobs, such as healthcare, food service, construction, manufacturing, retail, hospitality, transportation, education, public safety. Masked face recognition is essential to accurately identify authenticate individuals wearing masks. has emerged a vital technology address this problem enable accurate identification authentication masked scenarios. In paper, we propose novel method that utilizes combination of deep-learning-based mask...
In Electrocardiogram (ECG) application, we face various types of artifacts added to the ECG signal. Different Researchers have been interested in this problem due its importance. paper introduce a study different algorithms and their effects on performance noise canceller. We used many kinds such as: LMS (Least Mean Square), NLMS (Normalized Least Signed Regressor (SRLMS), Sign (SLMS), Sign-Sign (SSLMS) new proposed modified called Variable Step size Square (VSLMS) using MATLAB software...
Color Guided Depth image denoising often suffers from the texture coping color as well blurry effect at depth discontinuities. Motivated by this, we propose an optimized color-guided filter for different types of noises. This is a new framework that helps to mitigate and enhance discontinuities, especially in heavy consists two parts namely driven flattening model patch synthesis-based Markov random field model. The first part which prepare step second used problem faces all guided methods....
Abstract Background Acute myocardial infraction (AMI) is a leading cause of morbidity. As anti-diabetic drugs affect the cardiovascular risk diabetic patients independent their glucose lowering effect, this study was aimed to explore cardioprotective effects metformin, sitagliptin and dapagliflozin on electrocardiogram (ECG) changes, IL-1β, troponin I, caspase 3 in isoprenaline (ISO) induced MI non-diabetic rats. The present conducted 40 adult male Wistar albino rats were randomly assigned...
Depth maps are used to describe object positioning information in three‐dimensional (3D) space, and they crucial for RGB‐D data representation, which is useful numerous interactive visual applications. In practice, depth often contaminated by compound noise, including intrinsic noise missing regions owing active illumination shadows. As existing models cannot the above‐mentioned effectively, subsequent filter design a challenging task. this study, an adaptive colour‐guided non‐local mean...
The most commonly used controller for the speed control of DC motor drives is PI controller. In spite major features controller, it has some disadvantages such as: high starting overshoot in speed, sensitivity to gains and sluggish response due sudden change load torque disturbance. Thus, relatively new integral-proportional IP proposed solve Simulation results step impulse S-domain Z-domain are presented both controllers. Moreover, fuzzy controllers performance compared. Using computer...
Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer's disease (AD).Mild cognitive impairment (MCI) is condition that falls between spectrum of normal function and AD.However, previous studies have mainly used handcrafted features to classify MCI, AD, control (NC) individuals.This paper focuses on using gray matter (GM) scans obtained through magnetic resonance imaging (MRI) for diagnosis individuals with NC.To improve classification performance, we...
Fuzzy control theory is somewhat new to the power electronics community. The paper describes a method of fuzzy logic in speed system that uses phase-controlled bridge converter and separately excited DC machine. unique it straight-forward creating mathematical model has been successfully applied variety membership functions. Moreover, current loop replaced by prediction based on motor equations. Performance algorithm evaluated through laboratory implementation as well simulation...
Depth maps captured by Kinect or time of flight (ToF) cameras have an active role in many visual applications. However, a brutal truth is that these depth are often contaminated with compound noise, which includes intrinsic noise and missing pixels. In addition, ToF-based low resolution. As carry rich critical information about 3D space, high quality post-processing crucial for supporting subsequent Previous works were proposed via the guiding registered color image bicubic interpolation as...
Power level control is a <span>critical issue in nuclear power stations due to its nonlinear dynamics. One of the most commonly used controllers fractional order proportional–integral–derivative (FOPID). The FOPID an enhanced and modern controlling system that has two additional added parameters. In this paper, comparison between particle swarm, gray wolf ant lion optimization techniques performed determine controller reactor pressurized water which fifth model simulated using MATLAB...