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Found 6 papers, 0 papers with code
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
In this paper, we introduce a new neural network architecture, termed LoGoNet, with a tailored self-supervised learning (SSL) method to mitigate such challenges.
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
Reducing traffic accidents is a crucial global public safety concern.
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations
Machine learning (ML) models are capable of performing air-quality "ahead-of-time" approximations.
Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
This approach is costly and difficult to scale.
Solving the Reaction-Diffusion equation based on analytical methods and deep learning algorithm; the Case study of sulfate attack to concrete
In the present study, a deep neural network has been trained in order to predict the solution of the equation with different coefficients using the numerical solution of this equation and the utility of deep learning.
Real-time Travel Time Estimation Using Matrix Factorization
Since this approach can solve the sparsity problem that arises from the absence of cars in many road segments in a specific time interval, matrix factorization is suitable for estimating the travel time.
