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Academic Articles & Research Papers
Showing 20 of 1,331 academic articles
Žiga Turk, Borja García de Soto, Bharadwaj R. K. Mantha, Abel Maciel et al. • Automation in Construction
(2021)
Today, the built environment is designed, built, and managed using digital technology, making it increasingly exposed to cyber security risks. Cybersecurity is a general topic, and the construction sector has been borrowing general solution...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.autcon.2021.103988
Frank Cremer, Barry Sheehan, Michael Fortmann, Arash Negahdari Kia et al. • The Geneva Papers on Risk and Insurance Issues and Practice
(2022)
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, th...
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cc-by
DOI: https://doi.org/10.1057/s41288-022-00266-6
PMC: 8853293
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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cc-by-nc-nd
DOI: https://doi.org/10.1162/coli_r_00312
Ian Parberry, Michael R. Garey, Albert R. Meyer • The MIT Press eBooks
(1994)
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how wel...
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DOI: https://doi.org/10.7551/mitpress/1836.001.0001
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...
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DOI: https://doi.org/10.1201/9780138744274
Igor I. Baskin, David Alan Winkler, Igor V. Tetko • Expert Opinion on Drug Discovery
(2016)
INTRODUCTION: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neural network types and their application to drug discovery requires expert knowledge to cho...
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DOI: https://doi.org/10.1080/17460441.2016.1201262
Alison Carling • Sigma Press eBooks
(1992)
A background to the history of neural networks is provided in this book, in a way accessible to readers without a formal knowledge of computer science or advanced biology. It describes the major learning algorithms, the constraints of neuro...
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C. H. Chen • McGraw-Hill, Inc. eBooks
(1996)
Fuzzy logic principles and algorithms design guidelines for fuzzy logic systems enhanced training algorithms maximum likelihood training temporal difference learning NADINE hybrid learning systems explanation and reasoning within connectivi...
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Hecht-Nielsen • International Joint Conference on Neural Networks (IJCNN)
(1989)
The author presents a survey of the basic theory of the backpropagation neural network architecture covering architectural design, performance measurement, function approximation capability, and learning. The survey includes previously know...
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DOI: https://doi.org/10.1109/ijcnn.1989.118638
Sašo Džeroski, Luc De Raedt, Stefan Wrobel (2005)
This volume, which is also available online from http://www.machinelearning.org, contains the papers accepted for presentation at ICML-2005, the 22nd lnternational Conference on Machine Learning, which was held at the University of Bonn in ...
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Masoud Seifi, Shirin Farivar, Malihe Sadat Mirhosseini, Atefe Ahmadvand • Regeneration, Reconstruction & Restoration
(2020)
Introduction: Stem cells have gained great attention in tissue engineering and curcumin is a natural phenolic product that had showed some positive effects on these cells. The aim of this study was to evaluate the effect of curcumin on the ...
DOAJ
Open Access (DOAJ)
DOI: 10.22037/rrr.v5i.31127
Zeng Yun, Wu Wenxiu, Yu Dankui • Shiyou jixie
(2018)
Under the rapid development of the world’s powder technology, powder materials are used in a wide range of fields such as metallurgy, chemical industry and petroleum. Turbo air classifier is one of the most important mechanical equipment in...
DOAJ
Open Access (DOAJ)
Hassan Waqas, Shan Ali Khan, Bagh Ali, Dong Liu et al. • Propulsion and Power Research
(2023)
The current article investigates the numerical study of the micropolar nanofluid flow through a 3D rotating surface. This communication may manipulate for the aim such as the delivery of the drug, cooling of electronic chips, nanoscience an...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jppr.2023.05.005
Hussain Z, Abdulrahim Abdul Moti L, Jagal J, Thu HE et al. • International Journal of Nanomedicine
(2025)
Zahid Hussain,1,2 Lama Abdulrahim Abdul Moti,1 Jayalakshmi Jagal,2 Hnin Ei Thu,3 Shahzeb Khan,4 Mohsin Kazi5 1Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah, 27272, United Arab...
DOAJ
Open Access (DOAJ)
Bui TD, Nguyen QL, Cuong NV, Nguyen TT • ACS Omega
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1021/acsomega.6c07946
PMC: PMC13737965
Zhang H, Luo B, Tao H, Liu Z et al. • International Journal of Nanomedicine
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.2147/IJN.S648420
PMC: PMC13738819
Batay S, Zhou Y, Pathirana PV, Seymour JP et al. • Mechanics of materials : an international journal
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1016/j.mechmat.2026.105860
PMC: PMC13739432
Karpiński K, Kruszewska N, Rubi JM, Gadomski A • Entropy (Basel, Switzerland)
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.3390/e28101051
PMC: PMC13703181
Vito Antonio Cimmelli • Entropy
(2023)
We propose a thermodynamic model describing the thermoelastic behavior of composition graded materials. The compatibility of the model with the second law of thermodynamics is explored by applying a generalized Coleman–Noll procedure. For t...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e25071084
Juhan Frank, Andrew R. King, Derek Jeffrey Raine • Cambridge University Press eBooks
(2002)
Accretion Power in Astrophysics examines accretion as a source of energy in both binary star systems containing compact objects, and in active galactic nuclei. Assuming a basic knowledge of physics, the authors describe the physical process...
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DOI: https://doi.org/10.1017/cbo9781139164245