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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
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publications
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
Published in , 2024
This paper presents new Graph Neural Network models that incorporate two first-order Partial Differential Equations (PDEs). These models do not increase complexity but effectively mitigate the over-smoothing problem.
Enhanced Underwater Image Dehazing Using an Improved Dark Channel Prior Method
Published in , 2024
We propose an improved dehazing technique based on the Dark Channel Prior (DCP) method, called the Improved Dark Channel Prior (IDCP). The IDCP combines a novel airlight estimation strategy, termed Maximum Ratio Estimation (MRE), and an enhanced transmission map estimation method, termed Red Channel Retaining (RCR). IDCP incorporates the red channel, often overlooked in underwater imaging due to rapid attenuation, to improve color restoration and image clarity.
Learnable Weight Graph Neural Network for River Ice Classification
Published in Journal 1, 2025
This paper proposed a model incorporating a graph neural network (GNN) to distinguish between ice and water from SAR images on the winters of 2017–2021 with emphasis on the Beauharnois Canal and Lake St Lawrence regions of the Saint Lawrence River.
Recommended citation: Qu, Y.; Soleymani, A.; Sudom, D.; Scott, K.A. Learnable Weight Graph Neural Network for River Ice Classification. Proceedings 2024, 110, 30. https://doi.org/10.3390/proceedings2024110030
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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