research
∙
12/03/2020
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic
It is important and informative to compare and contrast major economic c...
share
research
∙
10/08/2020
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
This paper proposes to use Fast Fourier Transformation-based U-Net (a re...
research
∙
04/11/2020
Clustering Time Series Data through Autoencoder-based Deep Learning Models
Machine learning and in particular deep learning algorithms are the emer...
research
∙
04/05/2020
Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models
Bidirectional Long Short-Term Memory (LSTM) is a special kind of Recurre...
research
∙
11/21/2019
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
Machine and deep learning-based algorithms are the emerging approaches i...
research
∙
05/16/2018
On Computing Average Common Substring Over Run Length Encoded Sequences
The Average Common Substring (ACS) is a popular alignment-free distance ...
research
∙
05/16/2018
A Software-Defined QoS Provisioning Framework for HPC Applications
With the emergence of large-scale data-intensive high-performance applic...
research
∙
05/16/2018
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge
Scientific applications in HPC environment are more com-plex and more da...
research
∙
05/16/2018
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems
High-performance computing (HPC) storage systems become increasingly cri...
research
∙
05/16/2018
