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Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents
(2021-04-01)
Driven by recent technological advancements within the artificial intelligence domain, deep learning has emerged as a promising representation learning technique. This in turn has given rise to the evolution of deep ...
Yield estimation and smart harvesting for precision agriculture using deep learning
(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 ...
Developing a mobile manipulation system to handle unknown and unstructured objects
(2021-04-01)
The exceptional human’s ability to interact with unknown objects based on minimal prior experience is a permanent inspiration to the field of robotic manipulation. The recent revolution in industrial and service robots ...
Segregation similarity loss in morphological ranking of image search in histopathology
(2022-04-01)
Histopathology is the study of changes in tissue caused by diseases such as cancer. It plays an important role to diagnose the cancers. Regarding the large variation of many cancers types, and the large size of Whole Slide ...
Deep learning for islanding detection of grid-connected photovoltaic systems
(2021-01-01)
Over the past decade, the integration of renewable-based distribution energy resources within the smart distribution system has been steadily growing. Despite the numerous advantages of integrating these renewable energy ...
A framework for anomalous activity analysis for intrusion detection with applications to IoT networks
(2022-04-01)
Computer systems have become an integral part of our daily lives. The Internet of Things (IoT) has recently attracted considerable attention in the information technology industry due to its various benefits. IoT activities ...
Deep learning models for defect and anomaly detection on industrial surfaces
(2023-12-01)
Automated quality control is essential across various industries to reduce manual inspection and improve operational efficiency. While there are advances in computer vision and machine learning for defect detection, ...
A novel deep learning architecture and large-scale benchmark for robust object detection in traffic surveillance and analysis
(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 ...