Reset
Showing 20 of 872 academic articles

A general regression neural network

Donald F. Specht • IEEE Transactions on Neural Networks (1991)

A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear) regression surface is described. The general regression neural network (GRNN) is a one-pass learning algorithm with...

OPENALEX DOI: https://doi.org/10.1109/72.97934

The Graph Neural Network Model

Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner et al. • IEEE Transactions on Neural Networks (2008)

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper,...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnn.2008.2005605

Cellular neural networks

Leon Ong Chua, Lei Yang • IEEE International Symposium on Circuits and Systems proceedings (2003)

A novel class of information-processing systems called cellular neural networks is proposed. Like neural networks, they are large-scale nonlinear circuits which process signals in real time. Like cellular automata, they are made of a massiv...

OPENALEX DOI: https://doi.org/10.1109/iscas.1988.15089

Cellular neural networks: theory

Leon Ong Chua, L. Yang • IEEE Transactions on Circuits and Systems (1988)

A novel class of information-processing systems called cellular neural networks is proposed. Like neural networks, they are large-scale nonlinear analog circuits that process signals in real time. Like cellular automata, they consist of a m...

OPENALEX DOI: https://doi.org/10.1109/31.7600

Quantum neural network

M. V. Altaĭsky • arXiv (Cornell University) (2001)

It is suggested that a quantum neural network (QNN), a type of artificial neural network, can be built using the principles of quantum information processing. The input and output qubits in the QNN can be implemented by optical modes with d...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.quant-ph/0107012

Intriguing properties of neural networks

Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna et al. • arXiv (Cornell University) (2013)

Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the reason they succeed, it also causes them to learn uninterpr...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1312.6199

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

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

Application of Robust Estimation for Time Synchronization and Retaining in Local Area Network

LIAN Yueyong,ZHANG Chao,LI Qiang • Jisuanji gongcheng (2016)

In view of the defect existed in the time synchronization of Local Area Network(LAN) using hardware and software methods,this paper introduces the principle of time synchronization in LAN and the method of robust estimation.The model of tim...

DOAJ Open Access (DOAJ) DOI: 10.3969/j.issn.1000-3428.2016.02.051

The Messy Nature of Fiber Spectra: Star–Quasar Pairs Masquerading as Dual Type 1 AGNs

Ryan W. Pfeifle, Barry Rothberg, Kimberly A. Weaver, Remington O. Sexton et al. • The Astrophysical Journal (2023)

Theoretical studies predict that the most significant growth of supermassive black holes (SMBHs) occurs in late-stage mergers, coinciding with the manifestation of dual active galactic nuclei (AGNs), and both major and minor mergers are exp...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/acbd45

Prediction of Hypersonic Boundary Layer Transition on Ablative Rough Surfaces of Deep Space Reentry Capsules

Qi LI, Rui ZHAO, Zhi CHEN, Bin GUO et al. • 气体物理 (2024)

In order to improve aerodynamic deceleration efficiency, deep space reentry capsules generally adopt large blunt windward shape and ablative heat protection system. However, factors such as the flat forebody shape and the sharp increase in ...

DOAJ Open Access (DOAJ) DOI: 10.19527/j.cnki.2096-1642.1073

String with deformed dispersion relation

J. Klusoň • European Physical Journal C: Particles and Fields (2022)

Abstract We study string theory with momentum living on de Sitter space. We argue that consistency of the theory implies that the global momentum can be defined on de Sitter space. Then we perform careful canonical analysis and we we also s...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjc/s10052-022-11025-1

An IXPE-led X-Ray Spectropolarimetric Campaign on the Soft State of Cygnus X-1: X-Ray Polarimetric Evidence for Strong Gravitational Lensing

James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski et al. • The Astrophysical Journal Letters (2024)

We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May–June. Companion multiwavelength data during the campaign are likewise shown. The 2–8...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/ad58e4

A Deep SETI Search for Technosignatures in the TRAPPIST-1 System with FAST

Guang-Yuan Song, Zhen-Zhao Tao, Bo-Lun Huang, Bo Yu et al. • The Astronomical Journal (2026)

The Five-hundred-meter Aperture Spherical Telescope (FAST) is the world’s largest single-dish radio telescope, and the search for extraterrestrial intelligence (SETI) is one of its five key science objectives. We conducted a targeted search...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-3881/ae8516