Energy disaggregation using variational autoencoders
Non-intrusive load monitoring (NILM) is a technique that uses a [...]
Crosstalk Suppression in Semi-Intrusive Load Monitoring Systems Using Hall Effect Sensors
Semi-intrusive load monitoring (SILM) is an appliance load monitoring approach [...]
OpenFlow Rule Placement In Carrier Networks For Augmented Reality Applications
Today, mobile consumers increasingly use Augmented Reality (AR) devices to [...]
TaijiGNN: A New Cycle-Consistent Generative Neural Network for High-Quality Bidirectional Transformation between RGB and Multispectral Domains
Since multispectral images (MSIs) and RGB images (RGBs) have significantly [...]
Model-based Approach to Data Center Design and Power Usage Effectiveness Assessment
Data Centers (DC) are complex systems, which provide an environment [...]
Multispectral Image Reconstruction From Color Images Using Enhanced Variational Autoencoder and Generative Adversarial Network
Since multispectral images (MSIs) have much more sufficient spectral information [...]
Multi features and multi-time steps LSTM based methodology for bike sharing availability prediction
Most cities in the world promote bike-sharing services to encourage [...]
A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance
The high-density computing requirements of machine learning (ML) is a [...]
A Hybrid GPU-FPGA-based Computing Platform for Machine Learning
We present a hybrid GPU-FPGA based computing platform to tackle [...]
A Two-Stage Unsupervised Deep Learning Framework for Degradation Removal in Ancient Documents
Processing historical documents is a complicated task in computer vision [...]