Predicting Wind Turbine Blade Tip Deformation With Long Short‐Term Memory (LSTM) Models
ABSTRACT Driven by the challenges in measuring blade deformations, this study presents a novel machine learning methodology to predict blade tip deformation using inflow wind data and operational parameters. Using a long short‐term memory (LSTM) model and a novel feature selection approach based on mutual information and recursive feature addition ...
Shubham Baisthakur, Breiffni Fitzgerald
wiley +1 more source
Morphological and Electrical Properties of Proteinoid-Actin Networks. [PDF]
Mougkogiannis P, Adamatzky A.
europepmc +1 more source
Breaking the Complexity of Cancer Using Computational Transcriptomic Network Biology
ABSTRACT While the landscapes of cancer mutations have been mostly clarified, in this study, we focused on the connective aggregates between mutations and phenotypes, named here as “gene transcriptomic networks,” aiming to survey computational network biology processes that have achieved significant results in cancer biology.
Heewon Park, Satoru Miyano
wiley +1 more source
A novel fractal fractional mathematical model for HIV/AIDS transmission stability and sensitivity with numerical analysis. [PDF]
Khan M+5 more
europepmc +1 more source
Abstract This study aims to predict the lightning (thunderstorm) potential in the Tehran region using data from meteorological synoptic stations and the Earth Networks Total Lightning Network (ENTLN). We employed the Weather Research and Forecasting (WRF) model to simulate lightning, focusing on the innermost domain, which spans between 34.5 and 36.5°N,
Sakineh Khansalari, Maryam Gharaylou
wiley +1 more source
Vortex reversal is a precursor of confined bacterial turbulence. [PDF]
Nishiguchi D+3 more
europepmc +1 more source
An Online Paleoclimate Data Assimilation With a Deep Learning‐Based Network
Abstract An online paleoclimate data assimilation (PDA) that utilizes climate forecasts from a deep learning‐based network (NET) along with assimilation of proxies to reconstruct surface air temperature, is investigated here. The NET is trained on ensemble simulations from the Community Earth System Model‐Last Millennium Ensemble.
Haohao Sun+4 more
wiley +1 more source
Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems. [PDF]
Dong C+4 more
europepmc +1 more source
Tropical Cyclone Surface Winds From Aircraft With a Neural Network
Abstract Estimates of the surface wind field in a tropical cyclone (TC) are required in real time by operational forecast centers to warn the public about potential impacts to life and property. In‐situ aircraft data must be adjusted from flight level to surface using wind reductions (WRs) since the aircraft cannot fly too low due to safety concerns ...
Alexander J. DesRosiers+5 more
wiley +1 more source
Where octagonal geometry meets chaos: A new S-Box for advanced cryptographic systems. [PDF]
Banga A+5 more
europepmc +1 more source