Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Changan Automobile Applies for Driving Style Recognition Patent, Leading a New Trend in Intelligent Driving ...
Data shows that over 60% of drivers exhibit irregular behaviors while driving, such as sudden acceleration and frequent lane changes. These behaviors not only affect driving safety but may also ...
Abstract: We introduce a new convolutional autoencoder architecture for user modeling and recommendation tasks with several improvements over the state of the art. First, our model has the flexibility ...
Abstract: Explainable Artificial Intelligence (XAI) approaches started to be studied in the last period to improve the interpretability of increasingly complex Deep Learning (DL) methods for Remote ...
This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
Introduction: Wireless Sensor Networks (WSNs) play a critical role in the development of sustainable and intelligent smart city infrastructures, enabling data-driven services such as smart mobility, ...
ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
The model architecture, training, and validation can be found in the QuantisedAutoEncoder.ipynb Python Jupyter Notebook This part of the project was done using the Google Drive and Google Colab, and ...
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