Communication and Intelligent Systems
Proceedings of ICCIS 2023, Volume 1
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70 Result(s)
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Lipo Wang
Artificial Intelligence
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Chapter and Conference Paper
Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks
This article proposed a method for semantic segmentation of ultrasound cardiac images using Deep network guided by learned prototype with few-shot learning approach. The main aim of the proposed method is to r...
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Chapter and Conference Paper
A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction
The global foreign exchange (forex) market has a daily volume on the order of $5 trillion and is the largest financial market in the world. The importance of this market has attracted many research efforts. Nu...
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Proceedings of the ICNC-FSKD 2022
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Book and Conference Proceedings
Communications, Networking, and Information Systems
First International Congress, CNIS 2023, Guilin, China, March 25–27, 2023, Revised Selected Papers
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Book and Conference Proceedings
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Chapter and Conference Paper
Correction to: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Due to a technical error, the original version of the book was published under the Advances in Intelligent Systems and Computing series. The book series has been changed from Advances in Intelligent Systems an...
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Article
Editorial for special section on ICNC-FSKD 2017
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Article
Effects of direct input–output connections on multilayer perceptron neural networks for time series prediction
Feedforward neural network prediction is the most commonly used method in time series prediction. In view of the low prediction accuracy of the conventional BPNN model when the time series data contain a certa...
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Chapter and Conference Paper
On a Streaming Approach for Training Denoising Auto-encoders
Learning deep neural networks requires huge hardware resources and takes a long time. This is due to the need to process huge data sets multiple times. One type of neural networks that are particularly useful ...
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Chapter and Conference Paper
A Population-Based Method with Selection of a Search Operator
This paper presents a method based on a population in which the parameters of individuals can be processed by operators from various population-based algorithms. The mechanism of selecting operators is based o...
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Article
Editorial Message: Special Issue on Advances in Parallel and Distributed Computing for Fuzzy Systems
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Chapter
EEG-Based Mental Workload and Stress Monitoring of Crew Members in Maritime Virtual Simulator
Many studies have shown that most maritime accidents are attributed to human error as the initiating cause, resulting in a need for study of human factors to improve safety in maritime transportation. Among th...
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Chapter and Conference Paper
A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators
In this paper a new method based on a population-based algorithm with flexible selectable operators for nonlinear modeling is proposed. This method enables usage of any types of exploration and exploitation op...
