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Academic Articles & Research Papers
Showing 20 of 2,356 academic articles
Katherine Taylor Halvorsen, William M. Mendenhall, Robert J. Beaver • The American Statistician
(1995)
Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and trad...
OPENALEX
DOI: https://doi.org/10.2307/2684586
Yelliza Yelliza, Siska Siska • Tell-us Journal
(2023)
The objectives of this study were obviously to determine the most and least commonly used vocabulary learning strategies by the students. In addition, it was to identify the reasons behind their use of these strategies. An explanatory mixed...
DOAJ
Open Access (DOAJ)
DOI: 10.22202/tus.2023.v9i1.6682
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
Xinyu Wang, Jiqiang Zhai, Hailu Yang • Scientific Reports
(2024)
Abstract Web command injection attacks pose significant security threats to web applications, leading to potential server information leakage or severe server disruption. Traditional detection methods struggle with the increasing complexity...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-74350-3
Maad Mijwil, Israa Ezzat Salem, Marwa M. Ismaeel • Iraqi Journal for Computer Science and Mathematics
(2023)
People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data o...
DOAJ
Open Access (DOAJ)
DOI: 10.52866/ijcsm.2023.01.01.008
Rafał Kozik, Marek Pawlicki, Michał Choraś, Witold Pedrycz • Complexity
(2019)
Network and information security are regarded as some of the most pressing problems of contemporary economy, affecting both individual citizens and entire societies, making them a highlight for homeland security. Innovative approaches to ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2019/5826737
Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice
(2022)
Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...
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Open Access
DOI: https://doi.org/10.1145/3545574
Dominic A Wilson • Journal of Cybersecurity Education, Research & Practice
(2026)
This paper presents an exploratory case study detailed as a pedagogical experience report on integrating adversarial Large Language Model (LLM) scenarios into a graduate cybersecurity curriculum. In addition to prompt injection, sophisticat...
DOAJ
Open Access (DOAJ)
DOI: 10.62915/2472-2707.1268
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
Jiabao Zhang, Jianhua Wang, Yuhong Li, Zhuangzhuang Zhang et al. • Cybersecurity
(2026)
Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42400-026-00625-z
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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DOI: https://doi.org/10.1109/tifs.2021.3117075
Bimal Ghimire, Danda B. Rawat • IEEE Internet of Things Journal
(2022)
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the emerging Internet of Things (IoT) has gained a lot of attention from the government, academia, and industries in recent years. Federated cybersecurity (F...
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DOI: https://doi.org/10.1109/jiot.2022.3150363
Vinden Wylde, Nisha Rawindaran, John Lawrence, Rushil Balasubramanian et al. • SN Computer Science
(2022)
In this paper, we identify and review key challenges to bridge the knowledge-gap between SME's, companies, organisations, businesses, government institutions and the general public in adopting, promoting and utilising Blockchain technology....
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DOI: https://doi.org/10.1007/s42979-022-01020-4
PMC: 8753328
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
Adiah Qazi, Sadiqa Arshad, Ammad Ali Khan Jadoon • Scientific Reports
(2026)
Abstract Enterprise Resource Planning (ERP) systems serve as critical infrastructure for modern organizations, yet their security assessment lacks standardized evaluation frameworks. This study develops and applies a structured Security Mat...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-45550-w
Dinh Hoa Nguyen • IEEE Access
(2021)
Peer-to-peer (P2P) energy trading has recently emerged as a promising paradigm for integrating renewable and distributed energy resources into local energy grids with the presence of active prosumers. However, prosumers often have different...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3125031