Environmental science and pollution research international
Mar 7, 2022
We contribute to the empirical literature on the predictability of oil-market volatility by comparing the predictive role of aggregate versus several disaggregated metrics of policy-related and equity-market uncertainties of the USA and geopolitical ...
IEEE journal of biomedical and health informatics
Mar 7, 2022
Accurate segmentation of the Intracranial Hemorrhage (ICH) in non-contrast CT images is significant for computer-aided diagnosis. Although existing methods have achieved remarkable 1 1 The code will be available from https://github.com/JohnleeHIT/SLE...
Neural networks : the official journal of the International Neural Network Society
Mar 4, 2022
Multichannel signal data analysis has been crucial in various industrial applications, such as human activity recognition, vehicle failure predictions, and manufacturing equipment monitoring. Recently, deep neural networks have come into use for mult...
Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its potential to improve and accelerate the decision-making process at the patient level in a range of healthcare settings. Despite the recent signs of progress i...
International journal of neural systems
Feb 25, 2022
Semi-supervised learning reduces overfitting and facilitates medical image segmentation by regularizing the learning of limited well-annotated data with the knowledge provided by a large amount of unlabeled data. However, there are many misuses and u...
Computational intelligence and neuroscience
Feb 21, 2022
In the competitive electricity market, electricity price reflects the relationship between power supply and demand and plays an important role in the strategic behavior of market players. With the development of energy storage systems after watt-hour...
Computational intelligence and neuroscience
Feb 17, 2022
This study presents an optimization approach for scheduling the operation room for emergency surgeries, considering the priority of surgeries. This optimization model aims to minimize the costs associated with elective and emergency surgeries and max...
Computational intelligence and neuroscience
Feb 16, 2022
The problem of intelligent - consensus design for leader-followers multiagent systems (MASs) under switching topologies is investigated based on switched control theory and fuzzy deep learning. It is supposed that the communication topologies are ...
The problem surrounding convolutional neural network robustness and noise immunity is currently of great interest. In this paper, we propose a technique that involves robustness estimation and stability improvement. We also examined the noise immunit...
Annals of the New York Academy of Sciences
Feb 4, 2022
Group decision making is an important, long-standing, and ubiquitous problem in all societies, where collective decisions must be made by a group of agents despite individual conflicting preferences. This has been a classical and active topic for res...