2 citations · 4 across the 6 of their papers we have counts for
6 papers
AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
Mingyong Zhou
In this paper from communication channel coding perspective we are able to present both a theoretical and practical discussion of AI's uncertainty, capacity and evolution for patte…
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
Mingyong Zhou
In this paper, we present a theoretical discussion on AI deep learning neural network uncertainty investigation based on the classical Rademacher complexity and Shannon entropy. Fi…
Can One Design a Series of Brains for Neuromorphic Computing to solve complex inverse problems
Mingyong Zhou
In this position paper, we present a discussion on neuromorphic computing and especially the learning/training algorithm to design a series of brains with different memristive valu…
A Discussion on the Algorithm Design of Electrical Impedance Tomography for Biomedical Applications
Mingyong Zhou, Hongyu Zhu
In this paper, we present a discussion on the algorithms design of Electrical Impedance Tomography (EIT) for biomedical applications. Based on the Maxwell differential equations an…
Electrical Impedance Tomography based on Genetic Algorithm
Mingyong Zhou
In this paper, we applies GA algorithm into Electrical Impedance Tomography (EIT) application. We first outline the EIT problem as an optimization problem and define a target optim…
A Spatio-temporal Spreading Communication Technique and its Applications
Mingyong Zhou
In this paper we address a fundamental question in communication, that is, in the presence of various noise scenarios such as white/colored Gaussian noise and impulsive -type noise…