research
∙
09/14/2023
Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments
Edge/fog computing, as a distributed computing paradigm, satisfies the l...
share
research
∙
05/10/2023
Visual Tuning
Fine-tuning visual models has been widely shown promising performance on...
research
∙
02/21/2023
AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring
An accurate and explainable automatic monitoring system is critical for ...
research
∙
02/16/2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Parameter-efficient transfer learning (PETL) is an emerging research spo...
research
∙
10/19/2022
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises
Enterprise relation extraction aims to detect pairs of enterprise entiti...
research
∙
03/10/2022
Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications
Resource management is the principal factor to fully utilize the potenti...
research
∙
12/04/2021
Integration of FogBus2 Framework with Container Orchestration Tools in Cloud and Edge Computing Environments
Currently, due to the advantages of light weight, simple deployment, mul...
research
∙
10/29/2020
UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition
Speech enhancement at extremely low signal-to-noise ratio (SNR) conditio...
research
∙
05/29/2020
SNR-based teachers-student technique for speech enhancement
It is very challenging for speech enhancement methods to achieves robust...
research
∙
05/06/2020
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
research
∙
11/20/2018
On a hypergraph probabilistic graphical model
We propose a directed acyclic hypergraph framework for a probabilistic g...
research
∙
03/23/2018
