The 2023 Canadian forest fires have been extreme in scale and intensity with more than seven times the average annual area burned compared to the previous four decades1. Here, we quantify the carbon emissions from these fires from May to September 2023 on the basis of inverse modelling of sate...
While these topics may be interesting to read about, there’s just no mathematical argument that they’re useful to DIY investors. Professional money managers, with massive research teams and mountains of data, get these predictions wrong all the time. So why waste your energy worrying about thi...
Absorbance associated with 7000 to 4000 cm−1 wavenumbers had the highest influence on model predictions followed by fish length, latitude, depth, and temperature. The optimal model resulted in good overall performance with an R2 of 0.93 and RMSE of 0.83 for training data set and R2 of 0.92...
wider range of possible spatial warming distributions. The purpose of this paper is not to provide exact estimations of warming, but rather to provide hypothetical spatial warming patterns, based on logical predictions of changes to temperature inversion strength, which may not directly follow the ...
When you want to open a bank account for your kid, the exact procedure can vary. Unless you have an older teenager, you’ll need to initiate the process, and likely take them to your bank’s branch (unless you’re dealing with an online bank like Tangerine). ...
Accuracy of genomic predictions using single and multiple-trait machine learning methods in Canadian beef cattle populationSINGLE nucleotide polymorphismsBEEF cattleBIRTH weightMACHINE learningFERTILITYCATTLE crossbreedingThe advancement in various machine learning (ML) methods provides tools t...
Article Open access 30 October 2024 Interannual impact of tropical southern Atlantic SST on surface air temperature over East Asia during boreal spring Article Open access 11 November 2023 Intensified gradient La Niña and extra-tropical thermal patterns drive the 2022 East and South Asian “See...
It should be clarified that ExpressVPN program is a virtual tunnel that virtually changes the physical location of a computer or other electronic device, assigning this device a virtual IP address, indicating a virtual location anywhere in the world (at the choice of the user of this program),...
These predictions are then combined with generic characteristics to train a meta-learner following the stacking ensemble learning framework. In this manner, the location-specific information from the base learners can be simultaneously considered with the generic information in the training process. The ...
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