• Communication costs in a geometric communication network 

  Shanjani, Sima Hajiaghaei; King, Valerie (Theoretical Computer Science, 2023)

  We represent a communication network as a graph in which each node has only local information about the graph, except for an upper bound on the number of nodes, and nodes communicate by passing messages along its edges. ...
• A Music Virtual Assistant Based on Machine Learning 

  Shameli Derakhshan, Shadan (2023-09-01)

  This study focuses on the development of a music chatbot designed to address a gap in the digital music services market. The chatbot provides users with a seamless and interactive experience, enabling them to engage in ...
• Asymmetric Agent Geometries in Synthetic Crowds 

  Ferreira, Dominic (2023-08-31)

  Crowd simulation plays a crucial role in various domains, including urban planning, evacuation analysis, and in the creation of films and games. The representation of agents used in these simulations greatly influences ...
• Efficient Federated Learning over Heterogeneous Machines 

  Zhao, Lei (2023-08-31)

  Decentralized data scattered among large number of different machines, therefore, there are two major challenges in large-scale machine learning, i.e., vast amount of data transmission over the communication network causing ...
• Novel Adaptive Transmission for Effective URLLC Support in 5G and Beyond Wireless Systems: Reinforcement Learning based Designs 

  Saatchi, Negin Sadat (2023-08-31)

  The Industrial Internet of Things (IIoT) has transformed industrial processes by connecting devices and enabling real-time data exchange. However, the increasing demands of future IIoT applications necessitate a trustworthy, ...
• Identifying End-User Challenges and Mitigation Strategies in Software Ecosystems: A Large-Scale Empirical Study on User Feedback 

  Ghimire, Bachan (2023-08-31)

  Objectives: The aim of this thesis is to analyze and articulate end-user challenges and pain points in Software Ecosystems (SECOs) based on user feedback. The problems faced by end-users in SECOs and the methods to address ...
• P-Inti: Interactive Visual Representation of Programming Concepts for Learning and Instruction 

  Halaharvi, Shishir (2023-08-31)

  Learning to program can be challenging for both learners and instructors. Previous approaches to facilitate learning or teaching programming have often employed the use of visuals and visualizations, but many of them ...
• Supervised and Unsupervised Deep Learning Methods for Underwater Image Enhancement 

  Rico Espinosa, Alejandro (2023-08-31)

  Large amounts of underwater imagery are constantly collected for environmental monitoring studies, as they are essential for estimating marine biodiversity and abundance. However, this collected data has variable quality ...
• iVLAIR - Interface Design and Prototype for Interactive Visualization-Mediated Supervised Classification 

  Kuppusami, Sanchitha (2023-08-31)

  Machine learning is widely used in various applications because of its advantages, but not everyone can apply it effectively as it requires the use of textual programming. To overcome this, there are several approaches ...
• Human-Robot Skill Transfer via Dynamic Movement Primitives based on Reinforcement Learning 

  Hong, Jayden (2023-08-30)

  Efficient trajectory adaptation is crucial for improving overall robot performance. The use of Reinforcement Learning (RL), despite its promise in robot motion planning, suffers from long training times and limited ...
• Improving surface plasmon resonance sensor and nanoaperture optical tweezers for biomolecule analysis 

  Babaei, Elham (2023-08-30)

  This thesis explores innovative approaches to improve sensitivity of surface plasmon resonance (SPR) sensors and nanoaperture optical tweezers (NOT) technique for biomolecule analysis. A significant enhancement in the ...
• Local Descriptor Image Matching Acceleration and its Hardware Implementation 

  Soleimani, Parastoo (2023-08-30)

  Computer vision algorithms have been used in an increasing number of applications during the past decades. One of the foremost challenges for using computer vision algorithms in practical applications is computational ...
• Improved Remaining Useful Life Prediction Models For Condition-based Maintenance Planners: A Data-Driven Approach Using Transformer-Based Architectures 

  Ogunfowora, Oluwaseyi (2023-06-19)

  Systems and machines undergo various failure modes that result in their health degradation, so maintenance actions are required to restore them back to a state where they can perform their expected functions. Machine ...
• Remediation of Heavy Metals with Poplar Trees 

  Talebzadeh, Mahta (2023-08-30)

  The increase in population and car fleets has led to a sharp rise in the generation of carwash wastewater (CWW). CWW contains heavy metals, detergents, oil and grease, and suspended solids, and is considered one of the ...
• A Conceptual Design: The Verification of QIR’s Generic Quantum Optimization Passes 

  Naghavi, Paria (2023-08-30)

  This report outlines the design of a verification system for QIR quantum optimization passes using Vellvm interpreter, along with QWIRE semantics and memory model. The primary objective is to establish a foundation for ...
• The Evaluation of a Drug Checking Software Platform that Enables Remote Point-of-Care Drug Checking 

  Robinson, Derek (2023-08-30)

  In April 2016, drug-related overdoses were declared a public health emergency in British Columbia, Canada. At the heart of this public health emergency is fentanyl, a synthetic opioid and the most commonly detected drug ...
• Towards An Intelligent Data Acquisition System for UAV-based 3D Reconstruction 

  Hatami Gazani, Sara (2023-08-29)

  Uncrewed Aerial Vehicles (UAVs) have become a pivotal platform for acquiring data in various applications, particularly for inspection, monitoring, and modeling purposes. However, the limited flight time and energy consumption ...
• CADConverter-For Converting Complex CAD files into HDF5 Format 

  Unknown author (2023-08-29)

  In this paper, we offer a very effective approach for extracting data from Computer- Aided Design And Manufacturing (CAD/CAM) step files and converted them to the self-descriptive and open-source HDF5 format. This format ...
• CrowdLabs: A platform for human behaviour and perception studies 

  Parikh, Kunal (2023-08-29)

  Advancements in technology encourage researchers to decipher several intricate conceptions such as human perception and behavioral studies. Though engineering science supports scientists, it in turn demands enormous efforts ...
• Assessing the Effectiveness of Snort in Detecting Malicious URLs 

  Zuva, Simbarashe (2023-08-29)

  Web attacks have been on the rise in recent years, and organisations are constantly searching for new and better ways to detect and block the corresponding attack vectors. Some of the prominent attributes of web attack ...

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