Results 141 to 150 of about 635,864 (319)
Two-primary algebraic K-theory of two-regular number fields [PDF]
, 2000 John Rognes, Paul Arne Østvær
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Energy Science &Engineering, EarlyView.ABSTRACT In power networks, low‐frequency oscillations—particularly inter‐area oscillations—pose a serious threat to system stability because of disruptions like short‐circuit faults and the increasing use of renewable energy sources like wind farms. To lessen the negative impacts of time delays when sending distant signals, this study presents a novel
Mehrdad Ahmadi Kamarposhti +4 more
wiley +1 more source
The Missing Spectral Basis in Algebra and Number Theory [PDF]
, 2001 Garret Sobczyk
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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
Global Challenges, EarlyView.Groundwater vulnerability is evaluated in a critical drinking water basin under the threats of climate change and population growth. Using GIS‐based DRASTIC modeling and field validation, high‐risk zones are identified. The results offer strategic insights for protecting Ankara's groundwater resources against escalating environmental and anthropogenic ...
Olcay Gülçiçek Uysal +3 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
Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection. [PDF]
Sci RepKhan A, Khan S, Rahimzai AA, Abdullah 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