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Deep Learning Approach for Aggressive Driving Behaviour Detection
We conclude that three minutes (or more) of driving (120 seconds of GPS data) is sufficient to identify driver behaviour.
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis
Improper driving results in fatalities, damages, increased energy consumptions, and depreciation of the vehicles.
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images
We use the similarity graph as a regularizer in the loss function of a CNN model to minimize the distance between the input images and their k-nearest neighbours in the similarity graph while minimizing the categorical cross-entropy loss between the training image predictions and the actual image class labels.
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease
The reliable and effective evaluation of early dementia has become essential research with medical imaging technologies and computer-aided algorithms.
