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Now showing items 11-20 of 22
On deep learning in physics
(2021-04-01)
Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
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 ...
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 ...
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 ...
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 ...
An investigation into the use of ConvNext within IICS/IIDS framework for person Re-ID
(2023-05-01)
In this thesis, we explore the integration of ConvNeXt, a CNN-based network inspired by vision transformers, into the Intra and Inter Camera Similarity (IICS) and Intra and Inter Domain Similarity (IIDS) frameworks for ...
Preferential proximal policy optimization in reinforcement learning
(2023-12-01)
The Proximal Policy Optimization (PPO), a policy gradient method, excels in reinforcement learning with its ”surrogate” objective function and stochastic gradient ascent. However, PPO does not fully consider the significance ...
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 ...
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, ...
Molecular dynamics simulations and neural network solutions for applications in biophysics
(2022-12-01)
As computing resources evolved and became more accessible over time, much of scientific research shifted towards utilizing computational techniques. In particular, biophysics is a field of science that has continually ...