Results 151 to 160 of about 19,319 (303)
Energy Science &Engineering, EarlyView.ABSTRACT This study establishes a full‐flow passage numerical model of an LNG submerged pump equipped with two‐stage splitter blades through three‐dimensional modeling. Numerical simulations validated by liquid nitrogen experiments demonstrate that at 1.4 times the design flow rate, the peak efficiency reaches 60.6%, with a maximum head of 194.93 m ...
Songyu Yao +4 more
wiley +1 more source
A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, EarlyView., 2023 Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
wiley +1 more source
OPTIMAL BIT ALLOCATION IN THE PARAUNITARY SUBBAND IMAGE CODER BASED ON THE QUATERNION ALGEBRA
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2019 The problem of bit allocation in the context of the tree structure 2D paraunitary filter bank based on the quaternion algebra, i.e. 4-band packet wavelet transform, is considered.
N. A. Petrovsky
doaj
Quaternion to Euler angles conversion: A direct, general and computationally efficient method. [PDF]
PLoS One, 2022 Bernardes E, Viollet S.
europepmc +1 more source
CO2 Storage Site Selection: A Comprehensive Review of Current Approaches
Greenhouse Gases: Science and Technology, EarlyView.ABSTRACT Global warming, driven by increasing anthropogenic greenhouse gas emissions, has emerged as a critical environmental concern. Carbon capture and storage (CCS) technology offers a promising solution for reducing CO2 emissions, but its effectiveness depends on identifying suitable candidates that can ensure safe, long‐term storage of CO2.
Shahryar Rashidi +2 more
wiley +1 more source
Benefits of Open Quantum Systems for Quantum Machine Learning
Advanced Quantum Technologies, EarlyView., 2023 Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio +2 more
wiley +1 more source
Validation of a Biomechanical Injury and Disease Assessment Platform Applying an Inertial-Based Biosensor and Axis Vector Computation. [PDF]
Electronics (Basel), 2023 Kim W +4 more
europepmc +1 more source
Irrigation and Drainage, EarlyView.Abstract In this study, the approximate three‐term (3 T) one‐dimensional (1D) vertical infiltration equation by Valiantzas (3 T‐V) and the 3 T approximate infiltration equation of the quasi‐exact implicit (QEI) Haverkamp equation (3T‐R) by Rahmati et al. for both direct and inverse modelling of water infiltration into soils were evaluated.
George Kargas +3 more
wiley +1 more source
Space-time codes based on quaternion algebras of small volume [PDF]
, 2012 Carina Alves, Jean‐Claude Belfiore
openalex +1 more source
Analysis of image formation in optical palpation
Journal of Biophotonics, EarlyView.Optical palpation is an emerging elastography technique that generates images of mechanical stress at the tissue surface, with applications in intraoperative cancer detection. Image formation is simulated using finite element analysis and validated with experiments on silicone phantoms, providing an analysis of trends in detectability, feature ...
R. Jones, Q. Fang, B. F. Kennedy
wiley +1 more source