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Applications of Neural Networks in Electromagnetics

Christos Christodoulou, Michael Georgiopoulos • CERN Document Server (European Organization for Nuclear Research) (2001)

From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...

OPENALEX

Pulsed Neural Networks

• The MIT Press eBooks (1998)

Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have...

OPENALEX DOI: https://doi.org/10.7551/mitpress/5704.001.0001

cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Cohen, Jonathan et al. • arXiv (Cornell University) (2014)

We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and time-consuming. As parallel architectures evolve, kernels mu...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1410.0759

Deep Learning for Instance Retrieval: A Survey

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

OPENALEX Open Access DOI: https://doi.org/10.1109/tpami.2022.3218591

Artificial Intelligence

Deniz Susar, Vincenzo Aquaro • International Conference on Theory and Practice of Electronic Governance (2019)

Artificial Intelligence (AI) refers to a set of technologies through which "intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that enable them to perform tasks previously thought to rely so...

OPENALEX DOI: https://doi.org/10.1145/3326365.3326420

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

Layout and Assembly Selection Algorithm for Standard Ring+Turning Ring Shield Tunnel Segments

XIONG Dongdong, YANG Zhao, XU Chao • Chengshi guidao jiaotong yanjiu (2024)

Objective To address the challenges associated with the manual layout and point selection of S+T (standard rings+turning rings (double-sided wedges)) in shield tunnel segments, including high subjectivity, complex calculations, and heavy re...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.2024.10.005

Challenges in automotive software engineering

Manfred Broy • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2006)

The amount of software in cars grows exponentially. Driving forces of this development are cheaper and more powerful hardware and the demand for innovations by new functions. The rapid increase of software and software based functionality b...

OPENALEX DOI: https://doi.org/10.1145/1134285.1134292

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

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

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

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