Showing 20 of 379 academic articles
Manik Awale, Shrirang Pund, Hassan S. Bakouch, Aishwarya Ghodake et al. • Entropy
(2026)
In this article, we propose a first-order integer-valued autoregressive (INAR(1)) model based on binomial thinning, in which the innovation sequence follows a zero–one–two-modified Poisson (ZOTMPo) distribution. The proposed model accommoda...
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Open Access (DOAJ)
DOI: 10.3390/e28080889
Kaiwen Shi, Haiyan Su, Xinlong Feng • Entropy
(2022)
In this article, we mainly consider a first order penalty finite element method (PFEM) for the 2D/3D unsteady incompressible magnetohydrodynamic (MHD) equations. The penalty method applies a penalty term to relax the constraint “∇·u=0”, whi...
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Open Access (DOAJ)
DOI: 10.3390/e24101395
Bob Rehder • Entropy
(2025)
A desirable property of any theory of causal reasoning is to explain not only why people make causal reasoning errors but also when they make them. The mutation sampler is a rational process model of human causal reasoning that yields norma...
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Open Access (DOAJ)
DOI: 10.3390/e27060548
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...
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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...
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Open Access (DOAJ)
DOI: 10.1088/1748-9326/ae10c9
Yucen Li, Lingling Xia, Yiming Fan, Qinyue Wang et al. • ChemPhysMater
(2022)
The synthesis of materials has been an important task throughout human history, and the ability to perform successful and efficient syntheses has been a factor in industrial revolutions and societal development. Recently, the rapid developm...
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Open Access (DOAJ)
DOI: 10.1016/j.chphma.2021.10.002
Arturo Gil Aparicio, Jaime Valls Miro • Applied Sciences
(2021)
This brief proposes a novel stochastic method that exploits the particular kinematics of mechanisms with redundant actuation and a well-known manipulability measure to track the desired end-effector task-space motion in an efficient manner....
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Open Access (DOAJ)
DOI: 10.3390/app112210636
Wojciech Giernacki • Applied Sciences
(2019)
With an increasing number of multirotor unmanned aerial vehicles (UAVs), solutions supporting the improvement in their precision of operation and safety of autonomous flights are gaining importance. They are particularly crucial in transpor...
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Open Access (DOAJ)
DOI: 10.3390/app9040648
Andrzej Burghardt, Wincenty Skwarek • Applied Sciences
(2021)
The paper presents a description of the dynamics of two mobile robots cooperating in the transport of a bulky load in the form of a beam. The purpose of modeling such a system was to obtain a mathematical model in an appropriate form. Lagra...
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Open Access (DOAJ)
DOI: 10.3390/app11136019
Dino Nejašmić, Saša Mladenović, Andrina Granić • Applied Sciences
(2026)
Large language models (LLMs) are increasingly integrated into interactive systems across domains such as software development, robotics, and education. As these systems evolve from simple chat interfaces to autonomous, tool-using agents, th...
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Open Access (DOAJ)
DOI: 10.3390/app16105001
Suraj Chakravarthi Raja, Won Suk You, Kian Jalaleddini, Justin C. Casebier et al. • Applied Sciences
(2023)
Tendon transfer surgery is often used to restore hand grasp function following high median-ulnar nerve palsy. This surgery typically reroutes and sutures the tendon of the extensor carpi radialis longus (ECRL) muscle to all four flexor digi...
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Open Access (DOAJ)
DOI: 10.3390/app13095804
Krai Cheamsawat, Thiparat Chotibut • Entropy
(2025)
Quantum reservoir computing (QRC) has emerged as a promising paradigm for harnessing near-term quantum devices to tackle temporal machine learning tasks. Yet, identifying the mechanisms that underlie enhanced performance remains challenging...
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Open Access (DOAJ)
DOI: 10.3390/e27010088
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...
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Open Access (DOAJ)
DOI: 10.3390/e19090500
Yukio-Pegio Gunji, Kyoko Nakamura, Kazuto Sasai, Iori Tani et al. • Entropy
(2026)
Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...
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Open Access (DOAJ)
DOI: 10.3390/e28050498
Ben Haylock, Daniel Peace, Francesco Lenzini, Christian Weedbrook et al. • Quantum
(2019)
Fast secure random number generation is essential for high-speed encrypted communication, and is the backbone of information security. Generation of truly random numbers depends on the intrinsic randomness of the process used and is usually...
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Open Access (DOAJ)
DOI: 10.22331/q-2019-05-13-141
Ruizhe Zhang, Guoming Wang, Peter Johnson • Quantum
(2022)
Significant effort in applied quantum computing has been devoted to the problem of ground state energy estimation for molecules and materials. Yet, for many applications of practical value, additional properties of the ground state must be ...
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Open Access (DOAJ)
DOI: 10.22331/q-2022-07-11-761
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...
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Open Access (DOAJ)
DOI: 10.3390/app15084493
Jiawei Yong, Sihai Tang • Entropy
(2026)
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...
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Open Access (DOAJ)
DOI: 10.3390/e28020156
Maxwell Aifer, Sebastian Deffner • New Journal of Physics
(2022)
While recent breakthroughs in quantum computing promise the nascence of the quantum information age, quantum states remain delicate to control. Moreover, the required energy budget for large scale quantum applications has only sparely been ...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac6821
Matej Komelj, Vinko Sršan, Kristina Žužek, Sašo Šturm • Physical Review Research
(2025)
We diagonalize the quantum two-dimensional spin-1/2 Heisenberg model with Dzyaloshinsky-Moriya interaction (DMI) by applying the variational quantum eigensolver, running on a quantum-computer simulator, which turns out to be a more efficien...
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Open Access (DOAJ)
DOI: 10.1103/lq2d-s6zm