Results 61 to 70 of about 115,694 (298)
Assessing machine-learning-based weather forcing in significant wave height prediction
This study evaluates Pangu-Weather, a machine-learning-based weather prediction (MLWP) model, for its ability to reduce errors in numerical predictions of significant wave height (SWH).
Fuuki Ogawa +6 more
doaj +1 more source
Deep Learning for Typhoon Wave Height and Spectra Simulation
Typhoon-induced waves significantly threaten marine transportation and safety, often leading to catastrophic marine disasters. Accurate wave simulations are vital for effective disaster prevention.
Chunxiao Wang +3 more
doaj +1 more source
Prediction of Significant Wave Height in Korea Strait Using Machine Learning
The prediction of wave conditions is crucial in the field of marine and ocean engineering. Hence, this study aims to predict the significant wave height through machine learning (ML), a soft computing method.
Sung Boo Park +3 more
doaj +1 more source
Prediction of wave height is of great importance in marine and coastal engineering. Soft computing tools such as artificial neural networks (ANNs) are recently used for prediction of significant wave height.
Mahjoobi, J, Etemad-Shahidi, A
core +1 more source
Chiral Phase Change Nanomaterials
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow +11 more
wiley +1 more source
Lakshadweep islands are coral atolls islands which are characterized by complex wave transformation patterns due to their unique geomorphological features, such as reef flats, lagoons, and steep fore-reef slopes.
Shyamala Varthini Dinakaran +1 more
doaj +1 more source
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker +5 more
wiley +1 more source
Prediction of significant wave height based on regression trees
One of the most important factors in design of coastal and offshore structures is significant wave height. Thus, an accurate prediction of wave height is of great importance.
Mahjoobi, J, Etemad-Shahidi, A
core +1 more source
Metasurfaces and other structured photonic environments can dramatically modify the absorption and/or light emission of semiconductors. However, the consequences of these changes on the temperature of the system are not well understood. The authors address this problem for colloidal nanocrystals and leverage their findings to convert light into ...
Hugo Kowalczyk +7 more
wiley +1 more source
Improving significant wave height prediction using Chronos model
arXiv admin note: text overlap with arXiv:2403.07815 by other ...
Yilin Zhai +5 more
openaire +2 more sources

