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Neural Computing and Applications OnlineFirst articles

19.06.2021 | Special issue on Advances of Neural Computing phasing challenges in the era of 4th industrial revolution

A novel energy-based online sequential extreme learning machine to detect anomalies over real-time data streams

Data flow learning algorithms must be very efficient in learning and predicting sequences. The model that monitors a sequence of data or events can predict the sequel and can act in such a way that it optimally achieves the desired result.

Xiaoping Wang, Shanshan Tu, Wei Zhao, Chengjie Shi

19.06.2021 | S.I. : Neuro, fuzzy and their hybridization

BiLSTM and dynamic fuzzy AHP-GA method for procedural game level generation

The use of games in daily life, especially in education, has been in an incline during the COVID-2019 pandemic. Thus, game-based learning environments have caused an increase in the need of game contents, but generation of the game contents and …

Murat İnce

19.06.2021 | S.I. : Adaptive and Learning Agents 2020

Opponent learning awareness and modelling in multi-objective normal form games

Many real-world multi-agent interactions consider multiple distinct criteria, i.e. the payoffs are multi-objective in nature. However, the same multi-objective payoff vector may lead to different utilities for each participant. Therefore, it is …

Roxana Rădulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé

19.06.2021 | Original Article

Stability analysis of T-S fuzzy-model-based coupled control systems with nonlinear T-S fuzzy control and its application

Takagi-Sugeno (T-S) fuzzy model offers a general and systematic framework to represent a nonlinear plant and provides an effective platform to facilitate stability analysis and control synthesis. This paper is concerned with the stability of the …

Jiayi Liu, Yongmei Cui, Huihui Song, Xuewei Zhang, Yanbin Qu

18.06.2021 | S.I on NC for Industry 4.0

The artistic design of user interaction experience for mobile systems based on context-awareness and machine learning

This paper investigates the art design of user interaction experience in mobile systems through the methods of contextual perception and machine learning. The theoretical foundations for the design of intangible cultural heritage interactive …

Lina Liu

18.06.2021 | Original Article

Interval prediction of short-term building electrical load via a novel multi-objective optimized distributed fuzzy model

In the process of building electrical load data collection, it is inevitable to introduce different kinds of noises, which makes the observation values deviate from the actual values, thus resulting in high levels of uncertainties. And such …

Hongchang Sun, Minjia Tang, Wei Peng, Ruiqi Wang

18.06.2021 | Original Article

Lung cancer detection and classification with DGMM-RBCNN technique

Lung cancer holds a vital spot amidst the causes of cancer deaths among humans. The best way to maximize the survival rate of the patient with cancer is the prior prediction of cancerous cells. But various traditional methods fail to diagnose …

Sanjukta Rani Jena, S. Thomas George, D. Narain Ponraj

18.06.2021 | Correction

Correction to: Innovative deep learning models for EEG-based vigilance detection

A correction to this paper has been published: …

Souhir Khessiba, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hédi Bedoui

18.06.2021 | Original Article

Transfer learning-based deep CNN model for multiple faults detection in SCIM

Deep learning-based fault detection approach for squirrel cage induction motors (SCIMs) fault detection can provide a reliable solution to the industries. This paper encapsulates the idea of transfer learning-based knowledge transfer approach and …

Prashant Kumar, Ananda Shankar Hati

18.06.2021 | Original Article

A Pythagorean fuzzy number-based integration of AHP and WASPAS methods for refugee camp location selection problem: a real case study for Istanbul, Turkey

There is an increase in the number of people who have changed their country for compulsory reasons due to the wars experienced worldwide. This raises the problem of identifying the regions where these people, called refugees, will live in the …

Ertugrul Ayyildiz, Melike Erdogan, Alev Taskin Gumus

18.06.2021 | S.I. : Deep Neuro-Fuzzy Analytics in Smart Ecosystems Open Access

Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks

Providing connectivity to high-density traffic demand is one of the key promises of future wireless networks. The open radio access network (O-RAN) is one of the critical drivers ensuring such connectivity in heterogeneous networks. Despite …

Abida Perveen, Raouf Abozariba, Mohammad Patwary, Adel Aneiba

18.06.2021 | Original Article

Adaptive neural control for a tilting quadcopter with finite-time convergence

This paper addresses the tracking control problem of the tilting quadcopter with unknown nonlinearities. A novel tilting quadcopter conception is proposed with a fully actuated version, which suggests that the translational and rotational …

Meichen Liu, Ruihang Ji, Shuzhi Sam Ge, Fellow, IEEE

17.06.2021 | Original Article

Building a Vietnamese question answering system based on knowledge graph and distributed CNN

Question answering system (QAS) can be applied everywhere such as in schools, hospitals, banks, e-commerce websites. A smart QAS that can replace people is what people expect. Therefore, there are a lot of studies to build, develop, and improve …

Trung Phan, Phuc Do

17.06.2021 | S.I. : Machine Learning Applications for Security

Machine learning and smart card based two-factor authentication scheme for preserving anonymity in telecare medical information system (TMIS)

Telecare medical information system (TMIS) is used to connect patients and doctors who are at a different location from each other. The authentication of the user and system is very crucial as the medical data of the user is stored on the server.

B. B. Gupta, Varun Prajapati, Nadia Nedjah, P. Vijayakumar, Ahmed A. Abd El-Latif, Xiaojun Chang

17.06.2021 | S.I. : NCACVIP

Enhanced balancing GAN: minority-class image generation

Generative adversarial networks (GANs) are one of the most powerful generative models, but always require a large and balanced dataset to train. Traditional GANs are not applicable to generate minority-class images in a highly imbalanced dataset.

Gaofeng Huang, Amir Hossein Jafari

17.06.2021 | Original Article

Automatic chronic degenerative diseases identification using enteric nervous system images

Studies recently accomplished on the Enteric Nervous System have shown that chronic degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of recognition methods able to identify whether or not the EGC are affected …

Gustavo Z. Felipe, Jacqueline N. Zanoni, Camila C. Sehaber-Sierakowski, Gleison D. P. Bossolani, Sara R. G. Souza, Franklin C. Flores, Luiz E. S. Oliveira, Rodolfo M. Pereira, Yandre M. G. Costa

16.06.2021 | S.I. : Adaptive and Learning Agents 2020

Value targets in off-policy AlphaZero: a new greedy backup

This article presents and evaluates a family of AlphaZero value targets, subsuming previous variants and introducing AlphaZero with greedy backups (A0GB). Current state-of-the-art algorithms for playing board games use sample-based planning, such …

Daniel Willemsen, Hendrik Baier, Michael Kaisers

16.06.2021 | Original Article

Identification of autonomous nonlinear dynamical system based on discrete-time multiscale wavelet neural network

Differing from the traditional wavelet neural network, a special type of discrete-time multiscale wavelet neural network (MWNN) using mesh grid is presented and investigated to solve the problem of identification of the autonomous nonlinear …

Guo Luo, Zhi Yang, Qizhi Zhang

16.06.2021 | Original Article

New evaluation methods of read mapping by 17 aligners on simulated and empirical NGS data: an updated comparison of DNA- and RNA-Seq data from Illumina and Ion Torrent technologies

During the last (15) years, improved omics sequencing technologies have expanded the scale and resolution of various biological applications, generating high-throughput datasets that require carefully chosen software tools to be processed.

Luigi Donato, Concetta Scimone, Carmela Rinaldi, Rosalia D’Angelo, Antonina Sidoti

16.06.2021 | Original Article

On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm

Suspension bridges are critical components of transport infrastructure around the world. Therefore, their operating conditions should be effectively monitored to ensure their safety and reliability. However, the main cables of suspension bridges …

Mohamed El Amine Ben Seghier, José A. F. O. Corriea, Jafar Jafari-Asl, Abdollah Malekjafarian, Vagelis Plevris, Nguyen-Thoi Trung