Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Proceedings of the ICNC-FSKD 2022
Article
Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting data quality. Big Data scenarios pose a new challenge to traditional imbalanced classifica...
Chapter and Conference Paper
Digital Twins (DTs) serve as the backbone of Industry 4.0, offering virtual representations of actual systems, enabling accurate simulations, analysis, and control. These representations help in predicting sys...
Chapter and Conference Paper
PID controllers are still popular in a wide range of engineering practices due to their simplicity and robustness. Traditional design of a PID controller needs manual setting of its parameters in advance. This...
Chapter and Conference Paper
Classification is an important task in the field of machine learning. Most classifiers based on offline learning are invalid for open data streams. In contrast, incremental learning is feasible for continuous ...
Chapter and Conference Paper
The medical dialogue system (MDS) is committed to constructing an intelligent platform to complete an automatic medical online consultation. Most previous researchers have focused on using the dialogue history...
Book and Conference Proceedings
Proceedings of the ICNC-FSKD 2022
Chapter and Conference Paper
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...
Chapter and Conference Paper
Online learning concerns analyzing a continuous stream of transient data and progressively updating the knowledge model without revisiting previously encountered examples. This paper proposes a new incremental...
Chapter and Conference Paper
Intelligent signal control attracts increasing attention for reducing traffic congestion so as to promote the efficiency of traffic infrastructure. In this paper we develop a reinforcement learning system for ...
Article
Differential evolution (DE) is a population-based metaheuristic algorithm that has been proved powerful in solving a wide range of real-parameter optimization tasks. However, the selection of the mutation stra...
Chapter and Conference Paper
This paper addresses the feature selection problems in the setting of online learning of data streams. Typically this setting imposes restrictions on computational resources (memory, processing) as well as st...
Chapter and Conference Paper
A common problem for autonomous vehicles is to define a coherent round boundary of unstructured roads. To solve this problem an evolutionary approach has been evaluated, by using a modified ant optimization al...
Article
Differential evolution (DE) represents a class of population-based optimization techniques that uses differences of vectors to search for optimal solutions in the search space. However, promising solutions/reg...
Chapter and Conference Paper
Existing interference protection systems lack automatic evaluation methods to provide scientific, objective and accurate assessment results. To address this issue, this paper develops a layout scheme by geomet...
Chapter and Conference Paper
In this study, 93W–5Ni–2Fe tungsten heavy alloy prepared by powder metallurgy method were tested at 1000, 1100, 1200, 1300 and 1400 °C respectively for investigating high temperature mechanical properties. Fra...
Chapter and Conference Paper
A healthy and sustainable process of urbanization for small towns can be achieved through managing driving factors properly, therefore it is critical to identify these driving factors. This paper firstly summa...
Chapter and Conference Paper
Model calibration represents the task of estimating the parameters of a process model to obtain a good match between observed and simulated behaviours. This can be considered as an optimization problem to sear...
Article
Chapter and Conference Paper
The advances in IoT and wearable sensors enable long term monitoring, which promotes earlier and more reliable diagnosis in health care. This position paper proposes a probabilistic method to address the chall...
Chapter and Conference Paper
Differential evolution (DE), as a class of biologically inspired and meta-heuristic techniques, has attained increasing popularity in solving many real world optimization problems. However, DE is not always su...