research
∙
06/15/2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
This paper investigates an interference-aware joint path planning and po...
share
research
∙
06/10/2023
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning
In the medical field, current ECG signal analysis approaches rely on sup...
research
∙
02/12/2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks
Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmia...
research
∙
11/26/2019
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations
This paper studies the problem of spectrum shortage in an unmanned aeria...
research
∙
09/25/2019
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks
This study proposes a deep learning model that effectively suppresses th...
research
∙
04/17/2019
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs
The high rate of false alarms in intensive care units (ICUs) is one of t...
research
∙
03/05/2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Electroencephalogram (EEG) is a common base signal used to monitor brain...
research
∙
04/26/2018
A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs, A Genetic-Algorithm Approach
High false alarm rate in intensive care units (ICUs) has been identified...
research
∙
02/18/2018
Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach
The problem of decentralized multiple Point of Interests (PoIs) detectio...
research
∙
12/17/2016
