ED‐ConvLSTM: A novel global ionospheric total electron content medium‐term forecast model
In this paper, we proposed an innovative encoder‐decoder structure with a convolution long
short‐term memory (ED‐ConvLSTM) network to forecast global total electron content (TEC) …
short‐term memory (ED‐ConvLSTM) network to forecast global total electron content (TEC) …
A comparative analysis of SLR, MLR, ANN, XGBoost and CNN for crop height estimation of sunflower using Sentinel-1 and Sentinel-2
Sustainable monitoring and determining the biophysical characteristics of crops is of global
importance due to the increase in demand for food. In this context, remote sensing data …
importance due to the increase in demand for food. In this context, remote sensing data …
Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source
MS Hanoon, AN Ahmed, P Kumar… - Engineering …, 2022 - Taylor & Francis
Modeling wind speed has a significant impact on wind energy systems and has attracted
attention from numerous researchers. The prediction of wind speed is considered a …
attention from numerous researchers. The prediction of wind speed is considered a …
An Explainable Dynamic Prediction Method for Ionospheric foF2 Based on Machine Learning
J Wang, Q Yu, Y Shi, Y Liu, C Yang - Remote Sensing, 2023 - mdpi.com
To further improve the prediction accuracy of the critical frequency of the ionospheric F2
layer (fo F2), we use the machine learning method (ML) to establish an explanatory dynamic …
layer (fo F2), we use the machine learning method (ML) to establish an explanatory dynamic …
The study of machine learning assisted the design of selected composites properties
S Hrehova, L Knapcikova - Applied Sciences, 2022 - mdpi.com
One of the basic points of Industry 5.0 is to make the industry sustainable. There is a need to
develop circular processes that reuse, repurpose, and recycle natural resources, and thus …
develop circular processes that reuse, repurpose, and recycle natural resources, and thus …
Investigating and comparing the two superstorms in the 23rd solar cycle
F Basciftci - Indian Journal of Physics, 2022 - Springer
The present study investigated two super geomagnetic storms (GSs) that occurred on
November 20, 2003 (Dst=–422 nT), and November 08, 2004 (Dst=–374 nT). The …
November 20, 2003 (Dst=–422 nT), and November 08, 2004 (Dst=–374 nT). The …
A comprehensive review of the role of soft computing techniques in municipal solid waste management
TR Sree, S Kanmani - Environmental Technology Reviews, 2024 - Taylor & Francis
In today's world, Municipal Solid Waste (MSW) management is considered the primary issue
for protecting the surrounding environment, individuals, and natural resources. To effectively …
for protecting the surrounding environment, individuals, and natural resources. To effectively …
A novel hybrid Machine learning model to forecast ionospheric TEC over Low-latitude GNSS stations
G Sivavaraprasad, IL Mallika, K Sivakrishna… - Advances in Space …, 2022 - Elsevier
Understanding the ionospheric variability caused by the solar and geomagnetic space
weather can be achieved using the ionospheric Total Electron Content (TEC) parameter …
weather can be achieved using the ionospheric Total Electron Content (TEC) parameter …
[HTML][HTML] EOF-LSTM 神经网络的电离层TEC 预报模型
汤俊， 李垠健， 钟正宇， 高鑫 - 大地测量与地球动力学, 2021 - html.rhhz.net
为有效利用电离层总电子含量序列的时间信息, 提出一种经验正交函数分解与长短期记忆神经
网络组合的预报模型, 利用IGS 提供的云南地区TEC 格网数据, 分别对不同地点和不同时段的 …
网络组合的预报模型, 利用IGS 提供的云南地区TEC 格网数据, 分别对不同地点和不同时段的 …
Regional application of generalized regression neural network in ionosphere spatio-temporal modeling and forecasting
We propose using the generalized regression neural network (GRNN) method for spatio-
temporal modeling of ionosphere total electron content (TEC). The GRNN model uses radial …
temporal modeling of ionosphere total electron content (TEC). The GRNN model uses radial …