Results 1 to 10 of about 34,961,696 (347)
Towards gaining sight of multiscale events: utilizing network models and normal modes in hybrid methods. [PDF]
Curr Opin Struct Biol, 2020 With the explosion of normal mode analyses (NMAs) based on elastic network models (ENMs) in the last decade, and the proven precision of MD simulations for visualizing interactions at atomic scale, many hybrid methods have been proposed in recent years ...
Krieger JM +4 more
europepmc +2 more sources
Spatially extended hybrid methods: a review. [PDF]
J R Soc Interface, 2018 Many biological and physical systems exhibit behaviour at multiple spatial, temporal or population scales. Multiscale processes provide challenges when they are to be simulated using numerical techniques.
Smith CA, Yates CA.
europepmc +3 more sources
Hybrid Methods Based on Empirical Mode Decomposition for Non-Invasive Fetal Heart Rate Monitoring
IEEE Access, 2020 This study focuses on fetal electrocardiogram (fECG) processing using hybrid methods that combine two or more individual methods. Combinations of independent component analysis (ICA), wavelet transform (WT), recursive least squares (RLS), and empirical ...
Katerina Barnova +3 more
doaj +2 more sources
Review of Hybrid Methods for Deep-Penetration Neutron Transport
Nuclear Science and Engineering, 2019 Methods for deep-penetration radiation transport remain important for radiation shielding, nonproliferation, nuclear threat reduction, and medical applications.
Madicken Munk, R N Slaybaugh
exaly +2 more sources
Blind testing of cross-linking/mass spectrometry hybrid methods in CASP11. [PDF]
Proteins, 2016 Hybrid approaches combine computational methods with experimental data. The information contained in the experimental data can be leveraged to probe the structure of proteins otherwise elusive to computational methods. Compared with computational methods,
Schneider M +3 more
europepmc +2 more sources
Hybrid Forecasting Methods—A Systematic Review
Electronics (Switzerland), 2023 Time series forecasting has been performed for decades in both science and industry. The forecasting models have evolved steadily over time. Statistical methods have been used for many years and were later complemented by neural network approaches ...
Lennart B Sina +2 more
exaly +2 more sources
Improving the traffic situation by shifting the turn and adjusting the traffic lights [PDF]
E3S Web of Conferences, 2023 The article deals with the problem of the formation of a traffic jam on the one of the street Krasnoyarsk cities. According to statistics, the largest set of accidents occur when turning the vehicle.
Stupin Artem +4 more
doaj +1 more source
Groundwater vulnerability assessment: A review including new statistical and hybrid methods.
Science of the Total Environment, 2022 The concept of groundwater vulnerability was first introduced in the 1970s in France to recognize sensitive areas in which surface pollution could affect groundwater, and to enable others to develop management methods for groundwater protection against ...
Nasrin Taghavi +3 more
semanticscholar +1 more source
Mathematical Problems in Engineering, 2022 With the increasing carbon emissions worldwide, lithium-ion batteries have become the main component of energy storage systems for clean energy due to their unique advantages.
Zhenhua Cui +5 more
semanticscholar +1 more source
Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods
Applied Artificial Intelligence, 2021 Accurate prediction of crop prices assists farmers to decide the best time to sell their produce so as to get maximum benefit and assists Government for post-harvest storage and management of the produce so as to stabilize the price volatility throughout
Sourav Kumar Purohit +3 more
semanticscholar +1 more source