Effet de la présence de feuillus sur le succès de l’éclaircie pré commerciale opérée sur sols tourbeux

La compétition entre les arbres pour les ressources du milieu s’intensifie à mesure que la forêt se développe. Le traitement sylvicole alors utilisé afin de réduire la compétition est l’éclaircie précommerciale (EPC), qui vise la libération et la redirection des ressources vers les essences d’arbre désirées. Dans la forêt boréale, le couvert végétal au sol […]

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Test Automation with TTCN-3

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete […]

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Low-Code Software Development 2.0

In this project, we will explore the new ways to design and implement a Low-Code Software Development platform that is easy to use, requires minimum software knowledge, is business logic oriented, and robust to dependency change. Specifically, we provide functional templates with detailed configuration flexibility to cover the high frequency requirements from the expected business […]

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Analytical Characterization of JZP-341 (Higher Order Structure)

York University and Jazz Pharmaceuticals are undertaking a project to accelerate development of their Leukemia drug candidate. The project will take advantage of unique technologies developed at York by Drs. Wilson and Krylov, Millisecond Hydrogen Deuterium eXchange (msHDX) mass spectrometry and Kinetic Capillary Electrophoresis (KCE), to provide a high-detail picture of Jazz Pharmaceutical’s candidate, including […]

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Certified Defense Framework against Patch Attacks on Images

Adversarial perturbation of all the image pixels is computationally intensive and may not be realized in practice. In contrast, an adversarial patch attack where an adversary can choose to perturb a specific subset of pixels in an image, is more practical in fooling a trained image classifier or hiding a person from an object-detection model. […]

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Using AI to Increase Diversity in the Talent Pool

Canada is having a youth unemployment crisis that has only worsened post-COVID. At the same time, an untapped pool of young, diverse talent exists to fill entry-level positions. However, difficulties arise when trying to match youth with employers. In particular, youth have indicated that job postings can be unfamiliar or intimidating and ask for unrealistic […]

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Cable Simulation Methods Using Nonlinear Finite Elements

Cable systems play an important role in many large scale simulation applications. Examples include marine systems, mining machinery, and cranes. The high fidelity and efficient modelling and simulation of these systems can enhance the applications and usability dynamic modelling environments. In this project we particularly target to develop models and efficient algorithms based on nonlinear […]

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Business-Oriented User Persona Construction and Preference Prediction: A Big Data-Based Machine Learning Approach

In this project, a group of scholars in computer science and business proposes using state-of-the-art machine learning methods for secondary-data-based persona construction and preference prediction. Specifically, the researchers will use recent data dimension reduction methods to process the raw data, use new machine learning models to achieve better learning results, and use self-supervised technology and […]

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Hypothesis transfer in medical image analysis

Recent years have seen a wealth of clinical evidence accumulate in favor of the radiomics hypothesis, wherein standard-issue oncological medical images, such as CTs, PET-CTs and MRIs, exhibit reliable fingerprints of cancer tumor genetic makeup, enabling predictions of patient prognosis, treatment resistance and side effects to be made directly from an analysis of imaging data. […]

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