Browsing by Subject "Deep learning"
Now showing items 1-20 of 22
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Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ... -
Deep learning approach to discontinuity-preserving image registration
(2020-05-01)Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ... -
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 ... -
Deep learning methods applied to anomaly detection in vehicle manufacturing and operations
(2019-09-01)As one of the most common modes of transportation, vehicles are very closely related to our lives. As a result, safety is an important issue in both vehicle production process and vehicle operations. Recently, unmanned ... -
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, ... -
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 ... -
Design and evaluation of a novel convolutional neural network for short-term vehicle multi-traffic prediction
(2019-08-01)Short-term vehicle traffic forecasting is about predicting how traffic indicators are going to be in the near future. The main traffic parameters are: traffic volume, traffic speed, and congestion state. In this thesis, ... -
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 ... -
DL-based defense against polymorphic network attacks
(2024-01-01)Network security is of vital importance in our world dominated by internet systems. These systems are vulnerable to large-scale rapidly evolving attacks by sophisticated cyber attackers who can have an upper edge over the ... -
Enhanced knowledge distillation by auxiliary classifiers
(2021-08-01)Deep neural models have shown promising results in various areas, e.g., computer vision and natural language processing, at the cost of high computation and storage resource consumption. These characteristics of deep neural ... -
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 ... -
Group representation learning for group recommendation
(2021-01-01)Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ... -
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 ... -
JoVA-hinge: joint variational autoencoders for personalized recommendation with implicit feedback
(2020-12-01)Recently, Variational Autoencoders (VAEs) have shown remarkable performance in collaborative filtering (CF) with implicit feedback. These existing recommendation models learn user representations to reconstruct or predict ... -
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 ... -
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 ... -
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 ... -
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ... -
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 ... -
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 ...