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Academic Articles & Research Papers
Showing 12 of 372 academic articles
Ghenwa Chamouni, Filippo Lococo, Carolina Sassorossi, Nkunzi Atuhaire et al. • Frontiers in Public Health
(2025)
IntroductionArtificial intelligence (AI) is increasingly integrating into the healthcare field, particularly in lung cancer care, including screening, diagnosis, treatment, and prognosis. While these applications offer promising advancement...
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Open Access (DOAJ)
DOI: 10.3389/fpubh.2025.1663298
Asmaa Hani Halbouni, Teddy Surya Gunawan, Mohamed Hadi Habaebi, Murad Halbouni et al. • IEEE Access
(2022)
The rapid evolution and growth of the internet through the last decades led to more concern about cyber-attacks that are continuously increasing and changing. As a result, an effective intrusion detection system was required to protect data...
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DOI: https://doi.org/10.1109/access.2022.3151248
Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan K.E. Westberg et al. • Electronics
(2019)
In recent years, deep learning has garnered tremendous success in a variety of application domains. This new field of machine learning has been growing rapidly and has been applied to most traditional application domains, as well as some ne...
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DOI: https://doi.org/10.3390/electronics8030292
Imma Lory Aprea, Gianni Bosi, Gabriele Sbaiz, Salvatore Scognamiglio • Mathematics
(2025)
In this paper, we tackle a bi-objective optimization problem in which we aim to maximize the portfolio diversification and, at the same time, minimize the portfolio volatility, where the ESG (Environmental, Social, and Governance) informati...
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Open Access (DOAJ)
DOI: 10.3390/math13203308
Jorge Buzzio-Garcia, Jaime Vergara, Santiago Rios-Guiral, Christian Garzon et al. • IEEE Access
(2024)
In the contemporary cybersecurity landscape, robust attack detection mechanisms are important for organizations. However, the current state of research in Software-Defined Networking (SDN) suffers from a notable lack of recent SDN-OpenFlow-...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3378271
Anwer Shees, Mohd Tariq, Arif I. Sarwat • Energies
(2024)
By integrating advanced technologies and data-driven systems in smart grids, there has been a significant revolution in the energy distribution sector, bringing a new era of efficiency and sustainability. Nevertheless, with this advancement...
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Open Access (DOAJ)
DOI: 10.3390/en17235870
Sumeet Dua, Xian Du • Auerbach Publications eBooks
(2011)
With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research to...
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DOI: https://doi.org/10.1201/b10867
Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології
(2025)
Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...
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Open Access (DOAJ)
DOI: 10.31891/csit-2025-2-3
Joanna Joy Bryson • Oxford University Press eBooks
(2020)
Abstract This chapter provides an overview of the nature and implications of artificial intelligence (AI), with particular attention to how they impinge on possible applications to and of law. Any artifact that transforms perception to more...
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DOI: https://doi.org/10.1093/oxfordhb/9780190067397.013.1
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence
(2024)
In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...
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DOI: https://doi.org/10.2139/ssrn.4831911
Buhong Wang, Jin Xiao, Ruochen Dong, Chengkai Piao et al. • Aerospace
(2026)
Satellite networks are essential to global connectivity yet face severe multidimensional cybersecurity threats. This systematic review conducts a holistic analysis of threats across the physical, network, and user layers. We propose the Sat...
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Open Access (DOAJ)
DOI: 10.3390/aerospace13030249
Abhiraam Eranti, Yogesh Tewari, Rafael Palacios, Amar Gupta • IEEE Access
(2026)
Deep-learning methods have boosted the analytical power of Raman spectroscopy, yet they still require large, task-specific, labeled datasets and often fail to transfer across application domains. The study explores pre-trained encoders as a...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3672109