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Academic Articles & Research Papers
Showing 20 of 188 academic articles
D. Britzger, J. Currie, T. Gehrmann, A. Huss et al. • European Physical Journal C: Particles and Fields
(2018)
Abstract Hard processes in diffractive deep-inelastic scattering can be described by a factorisation into parton-level subprocesses and diffractive parton distributions. In this framework, cross sections for inclusive dijet production in di...
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Open Access (DOAJ)
DOI: 10.1140/epjc/s10052-018-5981-z
Ronald Stevens, Trysha Galloway, Donald Halpin, Ann Willemsen-Dunlap • Entropy
(2016)
Research on the microscale neural dynamics of social interactions has yet to be translated into improvements in the assembly, training and evaluation of teams. This is partially due to the scale of neural involvements in team activities, sp...
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Open Access (DOAJ)
DOI: 10.3390/e18120427
Hao He, Timothy P Canty, Russell R Dickerson, Joel Dreessen et al. • Environmental Research Letters
(2025)
Between June 6 and 8, 2023, wildfires in Quebec, Canada generated massive smoke plumes that traveled long distances and deteriorated air quality across the Northeastern United States (US). Surface daily PM _2.5 observations exceeded 100 µ g...
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Open Access (DOAJ)
DOI: 10.1088/1748-9326/ae10c9
Jiawei Yong, Sihai Tang • Entropy
(2026)
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...
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Open Access (DOAJ)
DOI: 10.3390/e28020156
Tomoki KANDA, Hiroshi YABUNO • Mechanical Engineering Journal
(2026)
In quantum information processing, control of quantum entanglement is of central importance, particularly for applications in quantum computing. One established method for generating entanglement is squeezing, which exploits the uncertainty...
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Open Access (DOAJ)
DOI: 10.1299/mej.26-00260
Dan Cristian Marinescu, Gabriela M. Marinescu (2005)
1 Preface 2 Introduction 2.1 Computing and the Laws of Physics 2.2 Quantum Information 2.3 Quantum Computers 2.4 The Wave and the Corpuscular Nature of Light 2.5 Deterministic versus Probabilistic Photon Behavior 2.6 State Description, Supe...
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V. Padmavathi, C. N. Sujatha, Vedula Sitharamulu, K. S. Reddy et al. • Wiley eBooks
(2023)
Over the past few decades, tremendous growth has been witnessed in cryptography in which different security techniques and concerns were projected and put into practice. The classical methods of cryptography are depended on binary bits, whi...
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DOI: https://doi.org/10.1002/9781119905172.ch1
Victor Lesser, Daniel D. Corkill • IEEE Transactions on Systems Man and Cybernetics
(1981)
A new approach for structuring distributed processing systems, called functionally accurate, cooperative (FA/C), is proposed. The approach differs from conventional ones in its emphasis on handling distribution-caused uncertainty and errors...
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DOI: https://doi.org/10.1109/tsmc.1981.4308581
Nikita Deo, Prof Anita Singh (2022)
Sustainability and Cyber security are essential to gain the competitive edge in the firms and development of overall economies. This needs to develop Trust in Information and Communication Technology (ICT). Keeping in view the current trend...
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DOI: https://doi.org/10.55662/book.2022ccrs.009
Arunesh Sinha, Thanh H. Nguyen, Debarun Kar, Matthew Brown et al. • Journal of Cybersecurity
(2015)
Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete security coverage at all times. Instead, these limited resources must be scheduled (or alloca...
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DOI: https://doi.org/10.1093/cybsec/tyv007
Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...
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Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33017322
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...
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DOI: https://doi.org/10.1007/s10462-023-10562-9
Kumpati S. Narendra, Snehasis Mukhopadhyay • IEEE Conference on Decision and Control (CDC)
(2005)
Some of the problems that arise in the control of nonlinear systems in the presence of uncertainty are considered. Multilayer neural networks and radial basis function networks are used in the design of identifiers and controllers, and grad...
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DOI: https://doi.org/10.1109/cdc.1992.371803
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra • arXiv (Cornell University)
(2015)
We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop. It regularises the weights by minimising a compression ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1505.05424
Michael J. Smithson • SAGE Publications Ltd eBooks
(2000)
Uncertainty and Psychological Research Variables and Measurement Exploring, Describing, Displaying and Summarizing Research Design and Probability Sampling Distributions and Confidence Intervals Statistical Models and Significance Tests Pre...
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DOI: https://doi.org/10.4135/9781446218525
C Radhakrishna Rao • WORLD SCIENTIFIC eBooks
(1997)
Uncertainty, randomness and creation of new knowledge taming of uncertainty - evolution of statistics principles and strategies of data analysis - cross examination of data principles and strategies of data analysis - weighted and clouded d...
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DOI: https://doi.org/10.1142/3454
Honggang Fan, Yan Liu, Cui Wang, Wankun Wang • Energies
(2026)
Increasing penetration of offshore renewable energy has highlighted the challenges posed by strong intermittency, output uncertainty, and insufficient utilization of marine energy resources. To address these issues, this study investigates ...
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Open Access (DOAJ)
DOI: 10.3390/en19020447
Mahesh Bashyal, Michael J. Mulvaney, Dewey Lee, Chris Wilson et al. • GCB Bioenergy
(2021)
Abstract Brassica carinata (carinata), a non‐food oilseed feedstock mainly used for biofuel, is a relatively new alternative winter crop in the southeastern (SE) United States (US). However, there are limited N rate and N application timing...
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Open Access (DOAJ)
DOI: 10.1111/gcbb.12846
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith T. Butler • Accounts of Materials Research
(2022)
High Resolution Image Download MS PowerPoint Slide Conspectus Machine learning has become a common and powerful tool in materials research. As more data become available, with the use of high-performance computing and high-throughput experi...
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DOI: https://doi.org/10.1021/accountsmr.1c00244
Ivana Nikoloska, Osvaldo Simeone • Frontiers in Quantum Science and Technology
(2024)
Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...
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Open Access (DOAJ)
DOI: 10.3389/frqst.2024.1394533