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Neural Computing and Applications


Neural Computing and Applications OnlineFirst articles

Open Access 27-09-2022 | Original Article

Adapting deep learning models between regional markets

This paper extends a series of deep learning models developed on US equity data to the Australian market. The model architectures are retrained, without structural modification, and tested on Australian data comparable with the original US data.

27-09-2022 | S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

Who should I trust? Cautiously learning with unreliable experts

An important problem in reinforcement learning is the need for greater sample efficiency. One approach to dealing with this problem is to incorporate external information elicited from a domain expert in the learning process. Indeed, it has been …

27-09-2022 | Original Article

A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification

The common spatial pattern (CSP) algorithm is efficient and accurate for channels selection and features extraction for electroencephalogram (EEG) signals classification. The CSP algorithm is usually applied on a subject-by-subject basis by …

27-09-2022 | Original Article

Heap-based optimizer embedded with search strategies applied to high-order analog filter designs: a comparative study with up-to-date metaheuristics

Heap-Based Optimizer (HBO) is one of the recently proposed metaheuristic algorithms inspired by the corporate rank hierarchy. In this study, opposition and Cauchy-based search mechanisms are integrated into HBO which is applied for the design of …

27-09-2022 | Original Article

A deep sign language recognition system for Indian sign language

Deaf people face major challenges during communication with normal people. Employing a human interpreter (a person who converts Sign language (SL) into a language that the normal/hearing community can understand) is not an effective solution to …

About this journal

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.

Neural Computing and Applications
Volume 5/1997 - Volume 34/2022
Springer London
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