University of Toronto — CS Research

Computer science research from University of Toronto, a world leader in deep learning, AI, and machine learning research.

Sample of the collection (25 of 1,950 items)

• Connecting metal-organic framework synthesis to applications using multimodal machine learning University of Toronto Every year, researchers create hundreds of thousands of new materials, each with unique structures and properties. For example, over…
• Dynamic Reconstruction of Crystal/Amorphous Hetero‐Phosphate Janus Interfaces for Highly Stable Seawater Splitting Linyi University Abstract The abundant seawater resources provide favorable advantages for the large‐scale application of seawater electrolysis to…
• When health data go dark: the importance of the DHS Program and imagining its future University of Liverpool BACKGROUND: The suspension and/or termination of many programmes funded through the United States Agency for International Development…
• Performance investigation of a solar-assisted ground source heat pump system coupled with novel offset pipe energy piles and solar PVT collectors for cold climate applications University of Calgary • Long-term performance evaluation of a solar-assisted ground source heat pump system. • Optimum system operating mode is subjective to…
• A particle-scale study showing microwave energy can effectively decarbonize process heat in fluidization industry University of Toronto Microwave heating converts electromagnetic energy directly into thermal energy within the heated material, thereby overcoming the…
• Digital Twins and Enabling Technology Applications in Mining: Research Trends, Opportunities, and Challenges Memorial University of Newfoundland Industry 4.0 is making a positive impact on the world’s industries in areas such as productivity, efficiency, reliability, and human…
• The brain selectively allocates energy to functional brain networks under cognitive control Hospital for Sick Children Network energy has been conceptualized based on structural balance theory in the physics of complex networks. We utilized this framework…
• Continuous-Time Radar-Inertial and Lidar-Inertial Odometry Using a Gaussian Process Motion Prior University of Toronto In this work, we demonstrate continuous-time radar-inertial and lidar-inertial odometry using a Gaussian process motion prior. Using a…
• Recent Advances in Sustainable Total Synthesis and Chiral Pool Strategies with Emphasis on (−)‐Sclareol in Natural Products Synthesis University of Abou Bekr Belkaïd Abstract Starting materials for sustainable total synthesis often come from the chiral pool: carbohydrates, cyclitols, amino acids, and…
• A Planar Compact Absorber for Microwave Sensing Based on Transmission-Line Metamaterials Polytechnique Montréal This work introduces a novel microwave sensor leveraging a perfect metamaterial absorber (PMA) based on transmission-line metamaterials,…
• Systematic Review of Quantitative Risk Quantification Methods in Construction Accidents Seoul National University of Science and Technology Construction accidents pose significant risks to workers and the public, affecting industry productivity and reputation. While several…
• Modelling vaccination approaches for mpox containment and mitigation in the Democratic Republic of the Congo Alexandra Savinkina et al. BACKGROUND: Mpox was first identified in the Democratic Republic of the Congo (DRC) in 1970. In 2023, a historic outbreak of mpox…
• Monitoring Changes in the Enhanced Vegetation Index to Inform the Management of Forests University of Toronto In the absence of forest ecosystem time series data, monitoring proxies such as the enhanced vegetation index (EVI) can inform the…
• A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours University of South Australia The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness…
• Machine learning approach to predict the mechanical properties of cementitious materials containing carbon nanotubes Abu Dhabi University This research explores the use of machine learning to predict the mechanical properties of cementitious materials enhanced with carbon…
• NeRF-VO: Real-Time Sparse Visual Odometry With Neural Radiance Fields Technical University of Munich We introduce a novel monocular visual odometry (VO) system, NeRF-VO, that integrates learning-based sparse visual odometry for…
• Linear Array Double Difference Adjoint Ambient Noise Tomography of the Central Tanlu Fault Zone, Eastern China University of Science and Technology of China Abstract In response to the need for high‐resolution imaging of shallow crustal structure, we present a linear array double‐difference…
• Automation tools to support undertaking scoping reviews The University of Queensland OBJECTIVE: This paper describes several automation tools and software that can be considered during evidence synthesis projects and…
• Neural network approach to quasiparticle dispersions in doped antiferromagnets Max Planck Institute of Quantum Optics Abstract Numerically simulating large, spinful, fermionic systems is of great interest in condensed matter physics. However, the…
• Physicochemical and heavy metal pollution level in Hindon River ecosystem: An implication to public health risk assessment SRM Institute of Science and Technology Abstract The study was conducted to determine heavy metal contamination and physicochemical parameters in Hindon River's water. The…
• Titanic: Towards Production Federated Learning with Large Language Models University of Toronto With the recent surge of research interests in Large Language Models (LLMs), a natural question that arises is how pre-trained LLMs can…
• Strategy Can No Longer Ignore Planetary Boundaries: A Call for Tackling Strategy's Ecological Fallacy Western University Abstract The field of Strategy has its origins in Business Policy, which emphasized how firms could pursue important social aims that…
• Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey Xi'an Jiaotong University The emergence of natural language processing has revolutionized the way users interact with tabular data, enabling a shift from…
• Assessing Learning in an Immersive Virtual Reality: A Curriculum-Based Experiment in Chemistry Education MacEwan University Despite the recent advances in Virtual Reality technology and its use in education, the review of the literature shows several gaps in…
• How to optimize the systematic review process using AI tools University of Ottawa Systematic reviews are a cornerstone for synthesizing the available evidence on a given topic. They simultaneously allow for gaps in the…

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