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International Journal of Automation and Computing OnlineFirst articles

19.07.2022 | Research Article

Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective

Nowadays, deep neural networks (DNNs) have been equipped with powerful representation capabilities. The deep convolutional neural networks (CNNs) that draw inspiration from the visual processing mechanism of the primate early visual cortex have …

Open Access 14.07.2022 | Review

Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches

Vision plays a peculiar role in intelligence. Visual information, forming a large part of the sensory information, is fed into the human brain to formulate various types of cognition and behaviours that make humans become intelligent agents.

25.04.2022 | Research Article

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

Adversarial example has been well known as a serious threat to deep neural networks (DNNs). In this work, we study the detection of adversarial examples based on the assumption that the output and internal responses of one DNN model for both …

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The International Journal of Automation and Computing (IJAC) provides a forum for research contributions in automation and computing technology. Research papers feature a strong focus on new trends, theoretical and experimental research and development, emerging technology, and industrial standards.

With its extensive scope, IJAC addresses such topics as artificial intelligence, automatic control, bioinformatics, computer science, information technology, modeling and simulation, networks and communications, optimization and decision-making, pattern recognition, robotics, signal processing, and systems engineering.

In addition to original research articles, IJAC publishes insightful review and tutorial papers. Special issues explore current and emerging topics of interest.

Metadaten
Titel
Machine Intelligence Research
Abdeckung
Jahrgang 1/2004 - Jahrgang 19/2022
Verlag
Springer Berlin Heidelberg
Elektronische ISSN
2731-5398
Print ISSN
2731-538X
Zeitschriften-ID
11633
DOI
https://doi.org/10.1007/11633.1751-8520

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