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Showing 20 of 747 academic articles

Recommender Systems in Cybersecurity

Leonardo Ferreira, Daniel Castro Silva, Mikel Uriarte • Knowledge and Information Systems (2023)

Abstract With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the shortage of skillful security teams and the usage o...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10115-023-01906-6

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri et al. • Sensors (2023)

This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant...

OPENALEX cc-by DOI: https://doi.org/10.3390/s23156666 PMC: 10422504

A survey of uncertainty in deep neural networks

Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee et al. • Artificial Intelligence Review (2023)

Abstract Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predictions has become more a...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10462-023-10562-9

Pattern Recognition with Neural Networks in C++

Abhijit S. Pandya, Robert B. Macy • CRC Press eBooks (2021)

From the Publisher: The addition of artificial neural network computing to traditionalpattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical gui...

OPENALEX DOI: https://doi.org/10.1201/9780138744274

Neural networks in ocean engineering

Pooja Jain, Makarand Chintamani Deo • Ships and Offshore Structures (2005)

The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the resear...

OPENALEX DOI: https://doi.org/10.1533/saos.2004.0005

iNNvestigate neural networks!

Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele et al. • arXiv (Cornell University) (2018)

In recent years, deep neural networks have revolutionized many application domains of machine learning and are key components of many critical decision or predictive processes. Therefore, it is crucial that domain specialists can understand...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1808.04260

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

Self-Normalizing Neural Networks

Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter • arXiv (Cornell University) (2017)

Deep Learning has revolutionized vision via convolutional neural networks (CNNs) and natural language processing via recurrent neural networks (RNNs). However, success stories of Deep Learning with standard feed-forward neural networks (FNN...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1706.02515

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

Understanding Neural Networks as Statistical Tools

Brad Warner, Manavendra Misra • The American Statistician (1996)

Neural networks have received a great deal of attention over the last few years. They are being used in the areas of prediction and classification, areas where regression models and other related statistical techniques have traditionally be...

OPENALEX DOI: https://doi.org/10.1080/00031305.1996.10473554

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

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

Evaluation of the implementation of International Classification of Diseases, 11th revision for morbidity coding: Rationale and study protocol

Reza Golpira, Zahra Azadmanjir, Javad Zarei, Nasim Hashemi et al. • Informatics in Medicine Unlocked (2021)

International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) has been used for many years in many countries to manage health information. The World Health Organization (WHO) will soon replace ICD-...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2021.100668

The Balanced Opioid Initiative: protocol for a clustered, sequential, multiple-assignment randomized trial to construct an adaptive implementation strategy to improve guideline-concordant opioid prescribing in primary care

Andrew Quanbeck, Daniel Almirall, Nora Jacobson, Randall T. Brown et al. • Implementation Science (2020)

Abstract Background Rates of opioid prescribing tripled in the USA between 1999 and 2015 and were associated with significant increases in opioid misuse and overdose death. Roughly half of all opioids are prescribed in primary care. Althoug...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13012-020-00990-4

Fundamentals of renewable energy processes

• Choice Reviews Online (2006)

With energy sustainability and security at the forefront of public discourse worldwide, there is a pressing need to foster an understanding of clean, safe alternative energy sources such as solar and wind power. Aldo da Rosa's highly respec...

OPENALEX DOI: https://doi.org/10.5860/choice.43-2819