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Academic Articles & Research Papers
Showing 20 of 1,870 academic articles
George C. Stockman, Linda G. Shapiro (2001)
From the Publisher:
Computer Vision presents the necessary theory and techniques for students and practitioners who will work in fields where significant information must be extracted automatically from images. It will be a useful resource...
OPENALEX
Minqi Li, Xiangjian He, Kin‐Man Lam, Kaibing Zhang et al. • IET Image Processing
(2021)
Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to better...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12269
Elzbieta Hammel, Charalampos Mantziaris, Joscha Schmitz, Ansgar Büschges et al. • Frontiers in Physiology
(2022)
We have just started to understand the mechanisms underlying flexibility of motor programs among segmental neural networks that control each individual leg during walking in vertebrates and invertebrates. Here, we investigated the mechanism...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphys.2022.883858
Albert Nigrin • The MIT Press eBooks
(1993)
In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural network...
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DOI: https://doi.org/10.7551/mitpress/4923.001.0001
Kevin M. Swingler (1996)
Techniques for building neural networks: introduction what are neural networks? how does neural computing differ from traditional programming? how are neural networks built? how do neural networks learn? what do I need to build an MLP? the ...
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Kevin L. Priddy, Paul E. Keller • SPIE eBooks
(2005)
This tutorial text provides the reader with an understanding of artificial neural networks (ANNs) and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed and th...
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DOI: https://doi.org/10.1117/3.633187
Ivana Valentina Lemmuela, Mewati Ayub, Oscar Karnalim • Journal of Information Systems Engineering and Business Intelligence
(2025)
Background: Communication is important for everyone, including individuals with hearing and speech impairments. For this demographic, sign language is widely used as the primary medium of communication with others who share similar conditio...
DOAJ
Open Access (DOAJ)
DOI: 10.20473/jisebi.11.1.17-29
Daniel Graupe • Advanced series in circuits and systems
(1997)
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and compu...
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DOI: https://doi.org/10.1142/2982
Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances
(2026)
Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0332993
Timothy D. Masters (1993)
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to prod...
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H. K. D. H. Bhadeshia • ISIJ International
(1999)
There are difficult problems in materials science where the general concepts might be understood but which are not as yet amenable to scientific treatment. We are at the same time told that good engineering has the responsibility to reach o...
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Open Access
DOI: https://doi.org/10.2355/isijinternational.39.966
Frauke Günther, Stefan Gerd Fritsch • The R Journal
(2010)
Artificial neural networks are applied in many situations.neuralnet is built to train multi-layer perceptrons in the context of regression analyses, i.e. to approximate functional relationships between covariates and response variables.Thus...
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Open Access
DOI: https://doi.org/10.32614/rj-2010-006
Kishan G. Mehrotra, Chilukuri Krishna Mohan, Sanjay Ranka • The MIT Press eBooks
(1996)
Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have ...
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DOI: https://doi.org/10.7551/mitpress/2687.001.0001
Simon Haykin (1998)
From the Publisher:
This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it examines all the important aspects of this emer...
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Open Access
Francisco J Zamora-Martínez, Salvador España-Boquera, Maria Jose Castro-Bleda, Adrian Palacios-Corella • PLoS ONE
(2018)
This paper presents a new method to reduce the computational cost when using Neural Networks as Language Models, during recognition, in some particular scenarios. It is based on a Neural Network that considers input contexts of different le...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0200884
Mohamad H. Hassoun • Proceedings of the IEEE
(1996)
From the Publisher:
As book review editor of the IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Funda...
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DOI: https://doi.org/10.1109/jproc.1996.503146
James A. Anderson • The MIT Press eBooks
(1995)
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain funct...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/3905.001.0001
Jeffrey M. Ede • Machine Learning Science and Technology
(2020)
Abstract Deep learning is transforming most areas of science and technology, including electron microscopy. This review paper offers a practical perspective aimed at developers with limited familiarity. For context, we review popular applic...
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DOI: https://doi.org/10.1088/2632-2153/abd614
Peter R. Wiecha, Arnaud Arbouet, Christian Girard, Otto L. Muskens • Photonics Research
(2021)
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential for inverse design of photonic devices or nano-structures. Many of the recent works on machine-learning inverse design are highly specific, and the...
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Open Access
DOI: https://doi.org/10.1364/prj.415960
Z. Karami • Fanāvarī-i āmūzish
(2023)
Background and Objectives: In order to solve the problem of education in complex and unstructured domains, Spiro and his colleagues proposed the theory of cognitive flexibility, in which they advocated multiple forms of pedagogical models, ...
DOAJ
Open Access (DOAJ)
DOI: 10.22061/tej.2023.9686.2885