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Academic Articles & Research Papers
Showing 20 of 1,021 academic articles
Abdalmuttaleb M. A. Musleh Al-Sartawi • International Journal of Critical Infrastructures
(2020)
Security breaches are very costly in the USA, followed very closely by the Middle East. Shareholders and investors demand that their firms mitigate all kinds of risks, and it is the responsibility of the BOD to gain and maintain their confi...
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DOI: https://doi.org/10.1504/ijcis.2020.10029173
Tatwadarshi P. Nagarhalli, Vinod Moreshwar Vaze, Nirav Pravinsinh Rana • International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
(2021)
The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning and Natural Language Processing. The new found excite...
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DOI: https://doi.org/10.1109/icicv50876.2021.9388380
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
M.J. Willis, Christine Di Massimo, Gary A. Montague, Ming T. Tham et al. • IEE Proceedings D Control Theory and Applications
(1991)
Artificial neural networks are made up of highly interconnected layers of simple ‘neuron-like’ nodes. The neurons act as nonlinear processing elements within the network. An attractive property of artificial neural networks is that, given t...
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DOI: https://doi.org/10.1049/ip-d.1991.0036
Gongbo Zhang • IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
(2000)
Classification is one of the most active research and application areas of neural networks. The literature is vast and growing. This paper summarizes some of the most important developments in neural network classification research. Specifi...
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DOI: https://doi.org/10.1109/5326.897072
Sebastian Kujawa, Gniewko Niedbała • Agriculture
(2021)
Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple proc...
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DOI: https://doi.org/10.3390/agriculture11060497
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner et al. • IEEE Transactions on Neural Networks
(2008)
Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper,...
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Open Access
DOI: https://doi.org/10.1109/tnn.2008.2005605
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
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
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 ...
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DOI: https://doi.org/10.1145/638750.638776
Jaewook Lee, Jiwon Choi, Duksan Ryu, Suntae Kim • IEEE Access
(2022)
A software defect prediction (SDP) model identifies the defect-prone modules. Setting appropriate parameters in an SDP model is critical because it affects the model performance. In a recent study, parameters were automatically explored usi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3211978
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
DU Xinxin, HU Xiaohui, ZHAO Jianan • Jisuanji gongcheng
(2022)
A Vehicular Ad-Hoc Network(VANET) is a Mobile Ad-Hoc Network(MANET) composed of mobile vehicular nodes.It does not rely on infrastructure to either establish a communication link orrealize communication. Owingto the high mobility of vehicle...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0063131
James Francis Peters, Witold Pedrycz C (1999)
From the Publisher:
A clear-cut, practical approach to software development! Emphasizing both the design and analysis of the technology, Peters and Pedrycz have written a comprehensive and complete text on a quantitative approach to softwa...
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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...
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DOI: https://doi.org/10.70000/cj.2007.14.426
Marvin V. Zelkowitz • ACM Computing Surveys
(1978)
Software engineering refers to the process of creating software systems.It applies loosely to techniques which reduce high software cost and complexity while increasing reliability and mochfiability.This paper outlines the procedures used i...
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Open Access
DOI: https://doi.org/10.1145/356725.356731
James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski et al. • The Astrophysical Journal Letters
(2024)
We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May–June. Companion multiwavelength data during the campaign are likewise shown. The 2–8...
DOAJ
Open Access (DOAJ)
DOI: 10.3847/2041-8213/ad58e4
Moein Shamoushaki, Mehdi Aliehyaei, Marc A. Rosen • Entropy
(2021)
Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e23111483
Erika Meškienė, Teodoras Tamošiūnas • Socialiniai Tyrimai
(2019)
The relevance of the research. The emergence of temporary employment as an atypical form of work organization has become a relevant topic in the research of human resource management processes. Researchers analyze temporary employment not o...
DOAJ
Open Access (DOAJ)
DOI: 10.21277/st.v42i2.277
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