1 citations · 1 across the 3 of their papers we have counts for
4 papers
COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation
Pengyuan Shi, Yuetong Wang, Saad Abbasi +1
As the COVID-19 pandemic continues to put a significant burden on healthcare systems worldwide, there has been growing interest in finding inexpensive symptom pre-screening and rec…
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network
Pengpeng Shi, Zhi Zeng, Tianshou Liang
Big-data-based artificial intelligence (AI) supports profound evolution in almost all of science and technology. However, modeling and forecasting multi-physical systems remain a c…
Parallel frequency function-deep neural network for efficient complex broadband signal approximation
Zhi Zeng, Pengpeng Shi, Fulei Ma +1
A neural network is essentially a high-dimensional complex mapping model by adjusting network weights for feature fitting. However, the spectral bias in network training leads to u…
IcoRating: A Deep-Learning System for Scam ICO Identification
Shuqing Bian, Zhenpeng Deng, Fei Li +9
Cryptocurrencies (or digital tokens, digital currencies, e.g., BTC, ETH, XRP, NEO) have been rapidly gaining ground in use, value, and understanding among the public, bringing asto…