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Academic Articles & Research Papers
Showing 20 of 748 academic articles
Chaewoo Kim, Sang-Min Park, Sanghoon Lee, Deukhee Lee • IEEE Access
(2024)
Magnetic resonance imaging (MRI) provides enhanced soft tissue contrast and high spatial resolution. However, the relationship between intensity values among soft tissues in MRI is inconsistent, even when obtained under the same conditions ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3360272
Andrea Scarciglia, Vincenzo Catrambone, Martina Bianco, Claudio Bonanno et al. • NeuroImage
(2024)
Functional magnetic resonance imaging (fMRI) is a powerful non-invasive method for studying brain function by analyzing blood oxygenation level-dependent (BOLD) signals. These signals arise from intricate interplays of deterministic and sto...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.neuroimage.2024.120562
Sylvain Colomer, Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson et al. • Frontiers in Robotics and AI
(2022)
Autonomous vehicles require precise and reliable self-localization to cope with dynamic environments. The field of visual place recognition (VPR) aims to solve this challenge by relying on the visual modality to recognize a place despite ch...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2021.703811
Yishi Shen, Shi Zhang, Weimin Huang, Chengrui Shang et al. • Biomimetics
(2024)
Birds have remarkable flight capabilities due to their adaptive wing morphology. However, studying live birds is time-consuming and laborious, and obtaining information about the complete wingbeat cycle is difficult. To address this issue a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/biomimetics9090555
Nimra Mughal, Ghulam Mujtaba, Sarang Shaikh, Aveenash Kumar et al. • IEEE Access
(2024)
Sentiment analysis is essential for comprehending public opinion, particularly when considering e-commerce and the expansion of online businesses. Early approaches treated sentiment analysis as a document or sentence-level classification pr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3386969
Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim et al. • IEEE Transactions on Robotics
(2024)
We survey the current state of millimeter-wave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of the art. Frequency modulated continuous wave mmWave radars op...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tro.2024.3463504
Amna Ikram, Azhar Imran • Informatics in Medicine Unlocked
(2026)
Diabetic Retinopathy (DR) is a major complication of diabetes that can result in irreversible vision loss if not detected early. Manual ophthalmologic screening is time-consuming and subject to subjectivity, underscoring the need for accura...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.imu.2026.101744
Tobias Haug, Chris N Self, M S Kim • Machine Learning: Science and Technology
(2023)
Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum ker...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/acb0b4
Nouf Ali AL Ajmi, Muhammad Shoaib • Applied Sciences
(2025)
This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084493
Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi • IEEE Transactions on Quantum Engineering
(2024)
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work, we analyze a variational quantum circuit for the imputation of missing data. We constr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/TQE.2024.3447875
Shtwai Alsubai, Mohamed Ayari, Natalia Kryvinska, Ahmad Almadhor et al. • Scientific Reports
(2026)
Abstract Cybersecurity challenges have become increasingly complex and widespread, and the risks associated with these problems are substantial, affecting thousands of individuals and organisations and being crucial to national security. As...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-40634-z
Anup Basnet Chetry, Keisuke Ohto • Journal of Cheminformatics
(2025)
Abstract Chemoinformatics is a rapidly advancing field that integrates chemistry, computer science, and data analysis to enhance the study and application of chemical systems. This interdisciplinary approach leverages computational tools an...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13321-025-00978-6
Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari
(2025)
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Sayaki Matsushita • IEEE Transactions on Quantum Engineering
(2026)
Linear regression is fundamental to statistical analysis and machine learning, but its application to large-scale datasets necessitates distributed computing. The problem also arises in quantum computing, where handling extensive data requi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/TQE.2026.3687237
Yuze Zhang • Figshare
(2026)
This is a dataset for distributed system fault diagnosis tasks....
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DOI: https://doi.org/10.6084/m9.figshare.32991179
Yang Xin, Lingshuang Kong, Zhi Liu, Yuling Chen et al. • IEEE Access
(2018)
With the development of the Internet, cyber-attacks are changing rapidly and the cyber security situation is not optimistic. This survey report describes key literature surveys on machine learning (ML) and deep learning (DL) methods for net...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/access.2018.2836950
José Gaspar, Tiago Cruz, Chan–Tong Lam, Paulo Simões • IEEE Communications Surveys & Tutorials
(2023)
Electrical grids generate, transport, distribute and deliver electrical power to consumers through a complex Critical Infrastructure which progressively shifted from an air-gaped to a connected architecture. Specifically, Smart Substations ...
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DOI: https://doi.org/10.1109/comst.2023.3305468
Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data
(2023)
The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3610228
Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems
(2025)
Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...
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DOI: https://doi.org/10.1016/j.iotcps.2026.04.001
Yadigar İmamverdiyev, Fargana J. Abdullayeva • International Journal of Cyber Warfare and Terrorism
(2020)
In this article, a review and summarization of the emerging scientific approaches of deep learning (DL) on cybersecurity are provided, a structured and comprehensive overview of the various cyberattack detection methods is conducted, existi...
OPENALEX
DOI: https://doi.org/10.4018/ijcwt.2020040105