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Neural Computing and Applications

Neural Computing and Applications OnlineFirst articles

24.09.2018 | Original Article

Design of active noise control system using hybrid functional link artificial neural network and finite impulse response filters

The active noise control is the best approach to limit the low-frequency noise present in any applications and also to estimate the signals, which are corrupted by interference or additive noise. In this paper, the design of an active noise …

24.09.2018 | S.I. : Deep learning for music and audio

Basic filters for convolutional neural networks applied to music: Training or design?

When convolutional neural networks are used to tackle learning problems based on music or other time series, raw one-dimensional data are commonly preprocessed to obtain spectrogram or mel-spectrogram coefficients, which are then used as input to …

24.09.2018 | S.I. : Cognitive Computing for Intelligent Application and Service

Intelligent equipment design assisted by Cognitive Internet of Things and industrial big data

In recent years, the development of emerging technologies has brought about a new era of industrial reform. The current industrial revolution will deeply integrate the new generation of information technology with modern manufacturing industry and …

22.09.2018 | S.I. : Machine Learning Applications for Self-Organized Wireless Networks

A novel recommender system based on FFT with machine learning for predicting and identifying heart diseases

Recently, using of the intelligent technologies in the field of clinical decision making is increased rapidly to improve the lifestyles of patients and to help for reducing the workload and cost concerned in their healthcare. Heart diseases are …

22.09.2018 | S.I. : EANN 2017

Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters

In this work, we focus in the analysis of dermoscopy images using convolutional neural networks (CNNs). More specifically, we investigate the value of augmenting CNN inputs with the response of mid-level computer vision filters, using the …

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Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications.

Featured contributions fall into several categories: Original Articles, Review Articles, Forum Presentations, Book Reviews, Announcements and NCAF News.

The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. The Forum Presentations will be summaries of oral presentations made at quarterly meetings of the Natural Computing Applications Forum which will generally be reviewed by one referee.

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