Mohamed Mahmoud

ORCID: 0000-0001-6764-8969
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About
Contact & Profiles
Research Areas
  • Magnetic Properties and Synthesis of Ferrites
  • Iron oxide chemistry and applications
  • Atrial Fibrillation Management and Outcomes
  • Structural Behavior of Reinforced Concrete
  • Coronary Interventions and Diagnostics
  • Multiferroics and related materials
  • Cardiac Imaging and Diagnostics
  • Cardiac Arrhythmias and Treatments
  • Electromagnetic wave absorption materials
  • Handwritten Text Recognition Techniques
  • Thyroid Disorders and Treatments
  • Liver Disease Diagnosis and Treatment
  • Anomaly Detection Techniques and Applications
  • Cardiovascular Function and Risk Factors
  • Cardiovascular Syncope and Autonomic Disorders
  • Pregnancy and preeclampsia studies
  • Structural Load-Bearing Analysis
  • Innovative concrete reinforcement materials
  • Meningioma and schwannoma management
  • Cardiac Structural Anomalies and Repair
  • Congenital Heart Disease Studies
  • Pneumocystis jirovecii pneumonia detection and treatment
  • Neurofibromatosis and Schwannoma Cases
  • Venous Thromboembolism Diagnosis and Management
  • Structural Response to Dynamic Loads

Al-Azhar University
2018-2025

Chungbuk National University
2022-2025

Assiut University
2014-2025

The University of Texas Health Science Center at Houston
2024

Minia University
2024

Higher Institute of Engineering
2024

The University of Texas Health Science Center at San Antonio
2021-2023

The University of Texas at San Antonio
2021-2023

Warsaw University of Technology
2023

University of Hassan II Casablanca
2022

Detecting violent behavior in videos to ensure public safety and security poses a significant challenge. Precisely identifying categorizing instances of violence real-life closed-circuit television, which vary across specifications locations, requires comprehensive understanding processing the sequential information embedded these videos. This study aims introduce model that adeptly grasps spatiotemporal context within diverse settings scenarios. We propose method accurately capture features...

10.3390/s24020317 article EN cc-by Sensors 2024-01-05

10.1145/3626772.3657889 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2024-07-10

Background and Aim: Approximately 95 percent of people with a history acne may have post-acne scars. It can be challenging to treat Punch elevation microneedling are new, simple effective options for treatment these types We aimed compare between punch PRP versus in atrophic scars split face study.Patients Methods: This is comparative study conducted on 15 patients 19 32 years post boxcar icepick Left side each patient treated by elevation, after four weeks both sides platelets rich plasma...

10.21608/ijma.2024.248016.1864 article EN cc-by-sa International Journal of Medical Arts 2025-01-08

Table detection in document images is a challenging problem due to diverse layouts, irregular structures, and embedded graphical elements. In this study, we present HTTD (Hierarchical Transformer for Detection), cutting-edge model that combines Swin-L backbone with advanced Transformer-based mechanisms achieve superior performance. addresses three key challenges: handling including historical modern structures; improving computational efficiency training convergence; demonstrating...

10.3390/math13020266 article EN cc-by Mathematics 2025-01-15

The acceleration in the field of Internet things had increased security problems, so we find ourselves need effective ways to protect IoT systems From intrusions. Recently Machine learning plays an active role network and detecting attacks. this research, propose a method (AE-LSTM) for intrusion detection which uses Autoencoder with LSTM. Our has 6-layer (AE) model LSTM that is anomaly detection. To avoid bias our occur from imbalanced data NSL-KDD dataset, use Standard Scaler AE-LSTM delete...

10.1109/itc-egypt55520.2022.9855688 article EN 2022 International Telecommunications Conference (ITC-Egypt) 2022-07-26

Deep-learning-based image inpainting methods have made remarkable advancements, particularly in object removal tasks. The of face masks has gained significant attention, especially the wake COVID-19 pandemic, and while numerous successfully addressed small objects, removing large complex from faces remains demanding. This paper presents a novel two-stage network for unmasking considering intricate facial features typically concealed by masks, such as noses, mouths, chins. Additionally,...

10.3390/s23167094 article EN cc-by Sensors 2023-08-10

Trials evaluating the role of intravascular imaging in percutaneous coronary intervention (PCI) for complex artery disease have yielded mixed results. This study aimed to compare outcomes specifically ultrasound (IVUS) with those from conventional angiography PCI. Comprehensive electronic search MEDLINE, EMBASE, and Cochrane databases was performed until March 2023 randomized clinical trials (RCTs) comparing patients undergoing Complex PCI defined per each study, included American College...

10.1007/s40119-024-00364-7 article EN cc-by-nc Cardiology and Therapy 2024-04-17

Masked face recognition (MFR) has emerged as a critical domain in biometric identification, especially with the global COVID-19 pandemic, which introduced widespread masks. This survey paper presents comprehensive analysis of challenges and advancements recognizing detecting individuals masked faces, seen innovative shifts due to necessity adapting new societal norms. Advanced through deep learning techniques, MFR, along mask (FMR) unmasking (FU), represents significant areas focus. These...

10.3390/app14198781 article EN cc-by Applied Sciences 2024-09-28

Pasteurella multocida is a small Gram-negative organism that usually causes localized infection after exposure to cat or dog scratches, bites, licking wounds. Invasive infections, such as bacteremia and endocarditis, are very rare yet serious conditions associated with high morbidity mortality, particularly in patients major comorbidities. Here, we report case of 47-year-old male who presented the hospital altered mental status two weeks fall was found have subarachnoid hemorrhage. Further...

10.7759/cureus.22950 article EN Cureus 2022-03-08
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