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01/11/2023
Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation
Image segmentation is a very popular and important task in computer visi...
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05/27/2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coro...
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06/29/2020
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach
Multi-access edge computing (MEC) has already shown the potential in ena...
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06/27/2020
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework
This letter proposes an edge learning-based offloading framework for aut...
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05/06/2020
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning
Cell type identification from single-cell transcriptomic data is a commo...
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04/19/2020