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Showing 20 of 926 academic articles

Neural networks: an introduction

Kevin Warwick • Institution of Engineering and Technology eBooks (1995)

In this chapter, neural networks are discussed. The present field of neural networks links a number of closely related areas, such as parallel distributed processing, connectionism and neural computing, these being brought together with the...

OPENALEX DOI: https://doi.org/10.1049/pbce053e_ch1

Are artificial neural networks black boxes?

José M. Benítez, Juan Luis Castro, Ignacio Requena • IEEE Transactions on Neural Networks (1997)

Artificial neural networks are efficient computing models which have shown their strengths in solving hard problems in artificial intelligence. They have also been shown to be universal approximators. Notwithstanding, one of the major criti...

OPENALEX DOI: https://doi.org/10.1109/72.623216

Neural Networks in Civil Engineering: 1989–2000

Hojjat Adeli • Computer-Aided Civil and Infrastructure Engineering (2001)

The first journal article on neural network application in civil/structural engineering was published by in this journal in 1989. This article reviews neural network articles published in archival research journals since then. The emphasis ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1111/0885-9507.00219

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University) (2016)

We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) weights and activations, at run-time. At train-time the quantized weights and activations are used for computing ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1609.07061

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

Systematic Mapping Studies in Software Engineering

Kai Petersen, ROBERT H. FELDT, Shahid Mujtaba, Michael Mattsson • Electronic workshops in computing (2008)

BACKGROUND: A software engineering systematic map is a defined method to build a classification scheme and structure a software engineering field of interest. The analysis of results focuses on frequencies of publications for categories wit...

OPENALEX cc-by DOI: https://doi.org/10.14236/ewic/ease2008.8

Search-based software engineering

Mark Harman, S. Afshin Mansouri, Yuanyuan Zhang • ACM Computing Surveys (2012)

In the past five years there has been a dramatic increase in work on Search-Based Software Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based Optimization (SBO) algorithms are used to address problems in SE. ...

OPENALEX DOI: https://doi.org/10.1145/2379776.2379787

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

IEEE Access Special Section Editorial: Toward Service-Centric Internet of Things (IoT): From Modeling to Practice

Yue Cao, Omprakash Kaiwartya, Xiaodong Xu, William Liu et al. • IEEE Access (2021)

The Internet of Things (IoT) refers to an emerging paradigm to seamlessly and ubiquitously integrate a large number of smart things with intra/inter links to the physical and cyber worlds. Sensor-enabled communication technologies connect b...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3090136

Software engineering for mobility

Gruia-Catalin Roman, Gian Pietro Picco, Amy Lynn Murphy • Future of Software Engineering (FOSE) (2000)

Mobility is redefining the hardware and software fabric of distributed systems. Wireless communication allows network hosts to participate in a distributed computation while on the move. Novel middleware technologies allow software componen...

OPENALEX DOI: https://doi.org/10.1145/336512.336567

Perspectives in Software Engineering

Marvin V. Zelkowitz • ACM Computing Surveys (1978)

Software engineering refers to the process of creating software systems.It applies loosely to techniques which reduce high software cost and complexity while increasing reliability and mochfiability.This paper outlines the procedures used i...

OPENALEX Open Access DOI: https://doi.org/10.1145/356725.356731

Advances and perspectives for receiver function imaging of the Earth's internal discontinuities and velocity structures

Ling Chen, Xu Wang, Xin Wang, Zigen Wei et al. • 地球与行星物理论评 (2022)

Studying the structures, properties and origins of the Earth's internal discontinuities is an important part in the efforts to understand the physical and chemical properties of the layered Earth, as well as to explore the dynamic processes...

DOAJ Open Access (DOAJ) DOI: 10.19975/j.dqyxx.2022-029