Browsing by Author "Elgazzar, Khalid"
Now showing items 1-9 of 9
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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 ... -
Integrated traffic analysis and visualization for future road events
Alghamdi, Taghreed (2023-04-01)The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, ... -
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 ...