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Academic Articles & Research Papers
Showing 20 of 739 academic articles
Ronald Stevens, Trysha Galloway, Donald Halpin, Ann Willemsen-Dunlap • Entropy
(2016)
Research on the microscale neural dynamics of social interactions has yet to be translated into improvements in the assembly, training and evaluation of teams. This is partially due to the scale of neural involvements in team activities, sp...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e18120427
Hao He, Timothy P Canty, Russell R Dickerson, Joel Dreessen et al. • Environmental Research Letters
(2025)
Between June 6 and 8, 2023, wildfires in Quebec, Canada generated massive smoke plumes that traveled long distances and deteriorated air quality across the Northeastern United States (US). Surface daily PM _2.5 observations exceeded 100 µ g...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1748-9326/ae10c9
Veronica J Vieland, Sang-Cheol Seok • PLoS ONE
(2021)
In earlier work, we have developed and evaluated an alternative approach to the analysis of GWAS data, based on a statistic called the PPLD. More recently, motivated by a GWAS for genetic modifiers of the X-linked Mendelian disorder Duchenn...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0257164
Sean McCormick, Adrien Richez, Violet Mwaffo, Donald H. Costello • IEEE Access
(2024)
The next generation of United States Navy uncrewed aerial systems (UASs) is expected to operate in global positioning system and radio frequency-denied maritime environments. In these challenging conditions, these UASs must accurately ident...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3483014
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
Jun Shintake, Vito Cacucciolo, Dario Floreano, Herbert R. Shea • Advanced Materials
(2018)
Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers. Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, ...
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DOI: https://doi.org/10.1002/adma.201707035
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
Jonas Schupp, Marco Gianvecchio, Alessandro Barenghi, Patrick Karl et al. • Transactions on Cryptographic Hardware and Embedded Systems
(2026)
Post-quantum cryptosystems are currently attracting significant research efforts due to the continuous improvements in quantum computing technologies, which led the National Institute of Standards and Technology (NIST) to open standardizati...
DOAJ
Open Access (DOAJ)
DOI: 10.46586/tches.v2026.i3.224-246
Jonathan Schrock, Alex J. McCaskey, Kathleen E. Hamilton, Travis S. Humble et al. • Entropy
(2017)
A content-addressable memory (CAM) stores key-value associations such that the key is recalled by providing its associated value. While CAM recall is traditionally performed using recurrent neural network models, we show how to solve this p...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e19090500
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
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
Chuck Brooks • Wiley eBooks
(2024)
Quantum computing, like artificial intelligence (AI), will create a technological paradigm shift for humankind. Superpositioning is what gives quantum computers speed and parallelism, because each qubit can represent a quantitative solution...
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Open Access
DOI: https://doi.org/10.1002/9781394310562.ch21
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
Tanuwijaya Randy Stefan, Liang Hong, Xi Jiawei, Wong Wai Chun et al. • Nanophotonics
(2024)
Metasurfaces have recently opened up applications in the quantum regime, including quantum tomography and the generation of quantum entangled states. With their capability to store a vast amount of information by utilizing the various geome...
DOAJ
Open Access (DOAJ)
DOI: 10.1515/nanoph-2023-0844
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
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
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DOI: https://doi.org/10.1017/qut.2023.4