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BARRY W. BOEHM • Springer eBooks
(1984)
This paper summarizes the current state of the art and recent trends in software engineering economics. It provides an overview of economic analysis techniques and their applicability to software engineering and management. It surveys the f...
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DOI: https://doi.org/10.1007/978-3-642-48354-7_5
Amanda D Tran, Alice E White, Michelle R Torok, Rachel H Jervis et al. • JMIR Formative Research
(2024)
BackgroundSequential mixed-mode surveys using both web-based surveys and telephone interviews are increasingly being used in observational studies and have been shown to have many benefits; however, the application of this survey design has...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/56218
Eunice Jonathan Lugina, Adam Beni Swebe Mwakalobo, Francis Lwesya • Future Business Journal
(2022)
Abstract This article examines the impact of industrialization on economic growth in Tanzania focusing on the drivers of structural changes in the manufacturing sector. We apply the vector error correction model based on a parsimonious mode...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s43093-022-00177-x
Najwan Alsadat, Mohammed Elgarhy, Amal S. Hassan, Hijaz Ahmad et al. • AIP Advances
(2023)
In this article, we provide a new three-parameter model derived from the newly reduced Cauchy power-G family and linked to the linear failure rate model. The truncated Cauchy power linear failure rate (TCPLFR) is the name given to this dist...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0170297
Einara Zahn, Elie Bou‐Zeid, Nelson Luís Dias • Geophysical Research Letters
(2023)
Abstract The Monin‐Obukhov Similarity Theory (MOST) links turbulent statistics to surface fluxes through universal functions. Here, we investigate its performance over a large lake, where none of its assumptions (flat homogeneous surface) a...
DOAJ
Open Access (DOAJ)
DOI: 10.1029/2023GL103099
Aad van der Vaart • Cambridge University Press eBooks
(1998)
This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimati...
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DOI: https://doi.org/10.1017/cbo9780511802256
Chung-Chieh Wang, Wei-Kuo Soong, Chih-Wei Chien, Chih-Sheng Chang et al. • Atmosphere
(2023)
Due to the enhancement by its steep mesoscale topography, the overall rainfall amount and distribution in Taiwan from typhoons, to a first degree, are determined by the storm track relative to the island. Therefore, the quality of typhoon q...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/atmos14061047
M. Williams-Tripp, F. J. N. D'Amico, C. Pagé, A. Bertrand et al. • The Scientific World Journal
(2012)
The endemic Pyrenean Desman (Galemys pyrenaicus) is an elusive, rare, and vulnerable species declining over its entire and narrow range (Spain, Portugal, France, and Andorra). The principal set of conservation measures in France is a 5-year...
DOAJ
Open Access (DOAJ)
DOI: 10.1100/2012/612965
Lucas Santos, Carlos Brito, Iure Fe, Juliana Carvalho et al. • IEEE Access
(2024)
The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3393998
Fanjie Meng • Kuwait Journal of Science
(2026)
Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.1016/j.kjs.2026.100589
Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao et al. • ITM Web of Conferences
(2025)
Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/itmconf/20257605012
Régner Sabillón, Jordi Serra-Ruiz, Víctor Cavaller, Jeimy J. Cano M. • International Conference on Information Systems and Computer Science (INCISCOS)
(2017)
Nowadays, private corporations and public institutions are dealing with constant and sophisticated cyberthreats and cyberattacks. As a general warning, organizations must build and develop a cybersecurity culture and awareness in order to d...
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Open Access
DOI: https://doi.org/10.1109/inciscos.2017.20
Fábio Eid Morooka, Adalberto Manoel Junior, Tiago F. A. C. Sigahi, Jefferson de Souza Pinto et al. • Machine Learning and Knowledge Extraction
(2023)
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/make5030041
Brendan Bertone, Paul Wagner, Joshua Pauli • Journal of Cybersecurity Education, Research & Practice
(2025)
The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...
DOAJ
Open Access (DOAJ)
DOI: 10.62915/2472-2707.1254
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting
(2025)
Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/forecast7020031
R. S. Vykhodets • Евразийская интеграция: экономика, право, политика
(2021)
Artificial Intelligence (AI) is one of the central technologies of the fourth industrial revolution. A significant part of the production of surplus value in the XXI century is associated with the mastery and widespread introduction of tech...
DOAJ
Open Access (DOAJ)
DOI: 10.22394/2073-2929-2021-03-108-117
Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security
(2021)
Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...
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cc-by-nc-nd
DOI: https://doi.org/10.1109/tifs.2021.3117075
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni et al. • IEEE Transactions on Network and Service Management
(2023)
The “black-box” nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create mac...
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Open Access
DOI: https://doi.org/10.1109/tnsm.2023.3282740
Pijush Kanti Dutta Pramanik, Bijoy Kumar Upadhyaya, Ajay Kushwaha, Debashish Bhowmik • Energy and AI
(2026)
Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.egyai.2026.100925
Yao Zhang, Fan Lin, Ke Wang • Energies
(2020)
The accuracy of wind power forecasting depends a great deal on the data quality, which is so susceptible to cybersecurity attacks. In this paper, we study the cybersecurity issue of short-term wind power forecasting. We present one class of...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en13153780