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A view of Artificial Neural Network

Manish Kumar Mishra, Monika Srivastava • International Conference on Advances in Engineering & Technology Research (2014)

In this paper, An Artificial Neural Network or ANN, its various characteristics and business applications. In this paper also show that “what are neural networks” and “Why they are so important in today's Artificial intelligence?” Because v...

OPENALEX DOI: https://doi.org/10.1109/icaetr.2014.7012785

Neural Networks as Tools in Construction

Osama Moselhi, Tarek Hegazy, Paul Fazio • Journal of Construction Engineering and Management (1991)

The competitive and risk‐averse nature of the construction industry and its heuristic problem‐solving needs, among other reasons, have contributed to the development of nontraditional decision‐making tools. Research in artificial intelligen...

OPENALEX DOI: https://doi.org/10.1061/(asce)0733-9364(1991)117:4(606)

Introduction to artificial neural networks

Enzo Grossi, Massimo Buscema • European Journal of Gastroenterology & Hepatology (2007)

The coupling of computer science and theoretical bases such as nonlinear dynamics and chaos theory allows the creation of 'intelligent' agents, such as artificial neural networks (ANNs), able to adapt themselves dynamically to problems of h...

OPENALEX DOI: https://doi.org/10.1097/meg.0b013e3282f198a0

Artificial Neural Networks: An Overview

Roheen Qamar, Baqar Ali Zardari • Mesopotamian Journal of Computer Science (2023)

Neural networks, also known as artificial neural networks (ANNs) or artificially generated neural networks (SNNs) are a subset of machine learning that provide the foundation of deep learning techniques. Their name and form are inspired by ...

OPENALEX cc-by DOI: https://doi.org/10.58496/mjcsc/2023/015

Neural Networks

• Bloomsbury Publishing Plc eBooks (2000)

Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior...

OPENALEX DOI: https://doi.org/10.5040/9781350392434

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

Yinying Wang • Journal of Educational Administration (2021)

Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...

OPENALEX DOI: https://doi.org/10.1108/jea-10-2020-0216

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks (2025)

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dcan.2025.07.003

Default Detection Rate-Dependent Software Reliability Model with Imperfect Debugging

Ce Zhang, Wei-Gong Lv, Sheng Sheng, Jin-Yong Wang et al. • Applied Sciences (2022)

From the perspective of FDR (fault detection rate), which is an indispensable component in reliability modeling, this paper proposes two kinds of reliability models under imperfect debugging. This model is a relatively flexible and unified ...

DOAJ Open Access (DOAJ) DOI: 10.3390/app122110736

Spreading Social Influence with both Positive and Negative Opinions in Online Networks

Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du et al. • Big Data Mining and Analytics (2019)

Social networks are important media for spreading information, ideas, and influence among individuals. Most existing research focuses on understanding the characteristics of social networks, investigating how information is spread through t...

DOAJ Open Access (DOAJ) DOI: 10.26599/BDMA.2018.9020034

Unstructured Grid Computing Acceleration Algorithm Based on Sunway TaihuLight

XU Le, AN Hong, CHEN Junshi, ZHANG Pengfei, WU Zheng • Jisuanji gongcheng (2022)

The performance of unstructured grid computing on Sunway TaihuLight, a domestic heterogeneous many-core platform, is limited by sparse storage, discrete memory access, and data dependency.To relieve the sparse storage and discrete memory ac...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0065567

Numerical computation of Brownian motion and thermophoresis effects on rotational micropolar nanomaterials with activation energy

Hassan Waqas, Shan Ali Khan, Bagh Ali, Dong Liu et al. • Propulsion and Power Research (2023)

The current article investigates the numerical study of the micropolar nanofluid flow through a 3D rotating surface. This communication may manipulate for the aim such as the delivery of the drug, cooling of electronic chips, nanoscience an...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jppr.2023.05.005