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• DSpace

  We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land c...

• Energy management in modern buildings based on demand prediction and machine learning—A review

  Increasing building energy consumption has led to environmental and economic issues. Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods have been used to improve bu...

• Exploring the impacts of carbon pricing on Canada’s electricity sector

  Canadian provinces are required to regulate their power sectors using carbon pricing systems that meet national minimum stringency standards, which are set by the federal government. A diverse set of ...

• Searching for long-lived supersymmetric particles using displaced vertices and missing transverse

  The Standard Model of particle physics has been extremely successful in its predictive power and has withstood a wide array of precision tests designed to expose any flaws in its description of fundam...

• Examining how postpartum videoconferencing support sessions can facilitate connections between

  Postpartum support for new parents can normalize experiences, increase confidence, and lead to positive health outcomes. While in-person gatherings may be the preferred choice, not all parents can or ...

• Laguerre-type Bernoulli and Euler numbers and related fractional polynomials

  We extended the classical Bernoulli and Euler numbers and polynomials to introduce the Laguerre-type Bernoulli and Euler numbers and related fractional polynomials. The case of fractional Bernoulli an...