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Institution

Ryerson University

EducationToronto, Ontario, Canada
About: Ryerson University is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 7671 authors who have published 20164 publications receiving 394976 citations. The organization is also known as: Ryerson Polytechnical Institute & Ryerson Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: In this article, the effect of a green roof on the ambient CO2 concentration was investigated. But, the authors focused on assessing the benefit of urban greening and did not consider the effects of plants on the environmental pollutant concentrations.

188 citations

Journal ArticleDOI
TL;DR: The enzymatic pretreatment as one of the biological pret treatment methods which has received less attention in the literature than the other pretreatment methods is reviewed, and the current status of research to improve the biogas rate and yield from the AD of lignocellulosic biomass via enzyme pretreatment is reviewed.

188 citations

Journal ArticleDOI
TL;DR: This paper reviews segmentation methodologies and techniques for the disc and cup boundaries which are utilized to calculate theDisc and cup geometrical parameters automatically and accurately to help the professionals in the glaucoma to have a wide view and more details about the optic nerve head structure using retinal fundus images.
Abstract: Glaucoma is the second leading cause of loss of vision in the world. Examining the head of optic nerve (cup-to-disc ratio) is very important for diagnosing glaucoma and for patient monitoring after diagnosis. Images of optic disc and optic cup are acquired by fundus camera as well as Optical Coherence Tomography. The optic disc and optic cup segmentation techniques are used to isolate the relevant parts of the retinal image and to calculate the cup-to-disc ratio. The main objective of this paper is to review segmentation methodologies and techniques for the disc and cup boundaries which are utilized to calculate the disc and cup geometrical parameters automatically and accurately to help the professionals in the glaucoma to have a wide view and more details about the optic nerve head structure using retinal fundus images. We provide a brief description of each technique, highlighting its classification and performance metrics. The current and future research directions are summarized and discussed.

188 citations

Journal ArticleDOI
TL;DR: The application of this methodology to the South Saskatchewan River Basin shows that CWAM can be utilized as a tool for promoting the understanding and cooperation of water users to achieve maximum welfare in a river basin and minimize the potential damage caused by water shortages.

187 citations

Journal ArticleDOI
Norman Shaw1
TL;DR: In this paper, the authors proposed a model based on the technology acceptance model, which posits that consumers will accept the mobile wallet when they perceive usefulness and discover features through informal learning and are concerned about trust.

187 citations


Authors

Showing all 7846 results

NameH-indexPapersCitations
Eleftherios P. Diamandis110106452654
Michael D. Taylor9750542789
Peter Nijkamp97240750826
Anthony B. Miller9341636777
Muhammad Shahbaz92100134170
Rakesh Kumar91195939017
Marc A. Rosen8577030666
Bjorn Ottersten81105828359
Barry Wellman7721934234
Bin Wu7346424877
Xinbin Feng7241319193
Roy Freeman6925422707
Xiaokang Yang6851817663
Amir H. Gandomi6737522192
Konstantinos N. Plataniotis6359516695
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023240
2022338
20211,773
20201,708
20191,490