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Photonic Neural Networks: A Survey

Lorenzo De Marinis, Marco Cococcioni, P. Castoldi, Nicola Andriolli • IEEE Access (2019)

Photonic solutions are today a mature industrial reality concerning high speed, high throughput data communication and switching infrastructures. It is still a matter of investigation to what extent photonics will play a role in next-genera...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2019.2957245

Hypergraph Neural Networks

Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji et al. • Proceedings of the AAAI Conference on Artificial Intelligence (2019)

In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Confronting the challenges of learning representation for comp...

OPENALEX Open Access DOI: https://doi.org/10.1609/aaai.v33i01.33013558

Recurrent Neural Networks

• CRC Press eBooks (1999)

From the Publisher: With applications ranging from motion detection to financial forecasting, recurrent neural networks (RNNs) have emerged as an interesting and important part of neural network research. Recurrent Neural Networks: Design ...

OPENALEX DOI: https://doi.org/10.1201/9781420049176

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

Federated Machine Learning

Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong • ACM Transactions on Intelligent Systems and Technology (2019)

Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to t...

OPENALEX Open Access DOI: https://doi.org/10.1145/3298981

Journal of Machine Learning Technologies

• Journal of Machine Learning Technologies (2024)

The Journal of Machine Learning Technologies, ISSN: 2229–3981 & ISSN: 2229-399X, aims to publish all the latest and outstanding research articles, reviews and letters in all areas of Machine Learning Technologie. Each issue contains a serie...

OPENALEX DOI: https://doi.org/10.9735/2229-3981

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 and Digital Pathology: Challenges and Opportunities

Hamid R. Tizhoosh, Liron Pantanowitz • Journal of Pathology Informatics (2018)

In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manif...

OPENALEX cc-by-nc-sa DOI: https://doi.org/10.4103/jpi.jpi_53_18 PMC: 6289004

Geoscientists’ Perspectives on Cyberinfrastructure Needs: A Collection of User Scenarios

Karen I. Stocks, Sam Schramski, Arika Virapongse, Lisa Kempler • Data Science Journal (2019)

Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In th...

DOAJ Open Access (DOAJ) DOI: 10.5334/dsj-2019-021

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

Value-based software engineering

BARRY W. BOEHM • ACM SIGSOFT Software Engineering Notes (2003)

Much of current software engineering practice and research is done in a value-neutral setting, in which every requirement, use case, object, and defect is treated as equally important; methods are presented and practiced as largely logical ...

OPENALEX DOI: https://doi.org/10.1145/638750.638776

Knowledge management in software engineering

Ioana Rus, Mikael Lindvall • IEEE Software (2002)

Software organizations’ main assets are not plants, buildings, or \nexpensive machines. A software organization’s main asset is its intellectual \ncapital, as it is in sectors such as consulting, law, investment \nbanking, and advertising. ...

OPENALEX DOI: https://doi.org/10.1109/ms.2002.1003450

Software engineering economics

Mohamed Mohamed Al Hady • Cybrarians Journal (2007)

This work aims to shed light on an important topic that has begun to emerge in recent years, which is the economics of software engineering as a basic pillar in national development and confronting the competitive market challenges that cha...

OPENALEX cc-by DOI: https://doi.org/10.70000/cj.2007.14.426

Software engineering and middleware

W. Emmerich • Future of Software Engineering (FOSE) (2000)

The construction of a large class of distributed systems can be simplified by leveraging middleware, which is layered between network operating systems and application components. Middleware resolves heterogeneity and facilitates communicat...

OPENALEX DOI: https://doi.org/10.1145/336512.336542

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

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