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Academic Articles & Research Papers
Showing 20 of 39 academic articles
Renan V. B. Carvalho, Henrique A. Dinarte, Raul C. Almeida Jr., Carmelo J. A. Bastos-Filho • Journal of Microwaves, Optoelectronics and Electromagnetic Applications
(2025)
Abstract Elastic optical networks (EONs) have characteristics that meet the growing demand for current and future bandwidth, such as 5G and Internet of Things. In EONs, connections must have a route and a spectrum slice available between th...
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Open Access (DOAJ)
DOI: 10.1590/2179-10742025v24i1289308
Jose Fernando Rodrigues Junior, Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond et al. • Discover Materials
(2021)
Herein, we review aspects of leading-edge research and innovation in materials science that exploit big data and machine learning (ML), two computer science concepts that combine to yield computational intelligence. ML can accelerate the so...
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cc-by
DOI: https://doi.org/10.1007/s43939-021-00012-0
PMC: 8054236
Robert E. Uhrig, J. Wesley Hines • Nuclear Engineering and Technology
(2005)
Approaches to several recent issues in the operation of nuclear power plants using computational intelligence are discussed. These issues include 1) noise analysis techniques, 2) on-line monitoring and sensor validation, 3) regularization o...
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Giovanni Improta, Maria Triassi, Guido Guizzi, Liberatina Carmela Santillo et al. • Studies in computational intelligence
(2012)
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DOI: https://doi.org/10.1007/978-3-642-30732-4_16
Ajith Abraham, Yulan Liang, Árpád Kelemen • Studies in computational intelligence
(2008)
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DOI: https://doi.org/10.1007/978-3-540-75767-2
Urmila Pilania, Manoj Kumar, Sanjay Singh, Subhash Chandra et al. • Advances in computational intelligence and robotics book series
(2025)
Quantum computing is an emerging field that utilizes quantum mechanics to process information in ways other than classical computers. First, this chapter provides an overview of the fundamental definitions and concepts for quantum computing...
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DOI: https://doi.org/10.4018/979-8-3373-1419-8.ch011
Matthias Homeister • Computational intelligence
(2018)
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DOI: https://doi.org/10.1007/978-3-658-22884-2
Kalyan Chakradhar Regula • Advances in computational intelligence and robotics book series
(2025)
Artificial Intelligence (AI) and Cybersecurity have become deeply intertwined, shaping the future of digital safety and resilience. As AI-driven solutions enhance threat detection, automation, and response mechanisms, cybersecurity safeguar...
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DOI: https://doi.org/10.4018/979-8-3373-1142-5.ch015
Adel Ismail Al‐Alawi, Arpita Anshu Mehrotra, Sara Abdulrahman Al‐Bassam • Advances in computational intelligence and robotics book series
(2020)
The internet has revolutionized the way people communicate, how they manage their business, and even how they conduct their studies. Organizations can conduct meetings virtually and store all their data online. With this convenience, howeve...
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DOI: https://doi.org/10.4018/978-1-7998-2418-3.ch013
Boy Firmansyah • Advances in computational intelligence and robotics book series
(2024)
In today's interconnected digital landscape, cybersecurity has become paramount to safeguarding sensitive information and digital assets. This abstract explores the fundamental principles of cybersecurity, highlighting its importance, key c...
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DOI: https://doi.org/10.4018/979-8-3693-3860-5.ch009
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo et al. • Advances in computational intelligence and robotics book series
(2024)
In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Black-box AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based...
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DOI: https://doi.org/10.4018/978-1-6684-6361-1.ch002
Ala’a M. Al-Momani, Anber Abraheem Shlash Mohammad, Sulieman Ibraheem Mohammad, Asokan Vasudevan et al. • Studies in computational intelligence
(2025)
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DOI: https://doi.org/10.1007/978-3-031-77925-1_22
Paul Fergus, Carl Chalmers • Computational intelligence methods and applications
(2022)
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DOI: https://doi.org/10.1007/978-3-031-04420-5_9
Yu Zhang, Peter Tiňo B, Aleš Leonardis, Ke Tang • IEEE Transactions on Emerging Topics in Computational Intelligence
(2021)
Along with the great success of deep neural networks, there is also growing concern about their black-box nature. The interpretability issue affects people's trust on deep learning systems. It is also related to many ethical problems, e.g.,...
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Open Access
DOI: https://doi.org/10.1109/tetci.2021.3100641
Subana Shanmuganathan, Sandhya Samarasinghe • Studies in computational intelligence
(2016)
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DOI: https://doi.org/10.1007/978-3-319-28495-8
Muhammet Ünal, Ayca Gokhan Ak, Vedat Topuz, Hasan Erdal • Studies in computational intelligence
(2012)
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Open Access
DOI: https://doi.org/10.1007/978-3-642-32900-5_2
Nanting Huang, Xiaoyu Li, Xin Yang, Li Xie et al. • Sensors
(2026)
The pathological mechanism of autism spectrum disorder (ASD) exhibits dual heterogeneity: abnormal local energy metabolism and brain-wide high-order topological failure. To synergistically characterize these complex signals captured by adva...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s26133997
Yuan Huang, Zhixing Li, Wei Deng, Guoyin Wang et al. • CAAI Transactions on Intelligence Technology
(2021)
Abstract Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text class...
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Open Access (DOAJ)
DOI: 10.1049/cit2.12033
Aleksandra Torbica, Deepak Sharma, Duilio Balsamo, Vittoria Offeddu et al. • BMJ Global Health
(2025)
Introduction Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health re...
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Open Access (DOAJ)
DOI: 10.1136/bmjgh-2024-018587
Erik Cambria, Bebo White • IEEE Computational Intelligence Magazine
(2014)
Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which t...
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DOI: https://doi.org/10.1109/mci.2014.2307227