Browsing Faculty of Engineering & Applied Science by Author "Elgazzar, Khalid"
Now showing items 1-8 of 8
-
Detecting road boundaries and drivable regions in challenging weather conditions
Patel, Dipkumar (2022-02-01)Road detection is a core component of self-driving vehicle perception, where it covers detecting road boundaries and drivable road regions. It can also help human drivers to drive safely in lower visibility. The majority ... -
Intention prediction of pedestrians in challenging weather conditions using deep learning
Elgazwy, Ahmed (2023-08-01)Assisted and automated driving vehicles have received massive attention over the past few years from the research community to make our roads safer. In this thesis, we introduce a framework for predicting the intention of ... -
A novel deep learning architecture and large-scale benchmark for robust object detection in traffic surveillance and analysis
Dennis, Reed (2022-12-01)Upstream technologies such as traffic surveillance provide helpful information to downstream intelligent transportation systems intending to improve the safety, mobility, and efficiency of road-users whilst reducing their ... -
A novel spatiotemporal framework for efficient traffic prediction and visualization
Mostafi, Sifatul (2021-12-01)This thesis proposes an efficient traffic prediction framework to estimate congestion at intersections depending on neighboring road links. The framework encompasses three major components, data extraction, Bayesian Linear ... -
Optimizing electrocardiogram analysis for efficient heart condition diagnosis
Mousa, Ahmad (2023-09-01)This thesis introduces an innovative lead grouping strategy for efficient real-time Electrocardiography signal classification. This method uses a maximum of six leads instead of the traditional 12-lead approach, leading ... -
PoT: bridging IoT with phone technology
Khalil, Haytham (2023-09-01)The ”Phone of Things” (PoT) introduces an innovative integration of IoT systems with the widely available telephone network infrastructure. It repurposes underused home landlines and existing communication servers, weaving ... -
A real-time 12-lead electrocardiogram remote patient monitoring and analytics framework
Badr, Ahmed (2022-10-01)This work presents XBeats: A machine learning-based framework for real-time electrocardiogram monitoring and analysis that uses edge computing and data analytics for early anomaly detection. The framework encompasses a ... -
Yield estimation and smart harvesting for precision agriculture using deep learning
Osman, Youssef (2021-08-01)Precision agriculture is one of the fastest growing fields in recent years. In this thesis, we introduce a framework that provides farmers with a yield estimation from videos of crops and provides guided assistance for ...