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) …
Using support vector machine (SVM) with GPS ionospheric TEC estimations to potentially predict earthquake events
There are significant controversies surrounding the detection of precursors that may precede
earthquakes. Natural hazard signatures associated with strong earthquakes can appear in …
earthquakes. Natural hazard signatures associated with strong earthquakes can appear in …
Radiation Effects in VLSI Circuits–Part I: Historical Perspective
A Kannaujiya, AP Shah - IETE Technical Review, 2024 - Taylor & Francis
This review explains the historical perspective of single-event effects, single-event
transitions, and single-event upsets. It delves into the concept of critical charge and offers a …
transitions, and single-event upsets. It delves into the concept of critical charge and offers a …
A bidirectional deep-learning algorithm to forecast regional ionospheric TEC maps
K Sivakrishna, DV Ratnam… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The rapid evolutions in artificial intelligence and the machine learning era have significantly
improved accuracy for ionospheric space weather forecasting models. The ionospheric total …
improved accuracy for ionospheric space weather forecasting models. The ionospheric total …
Flash floods prediction using precipitable water vapor derived from GPS tropospheric path delays over the eastern mediterranean
A flash flood is a rapid and intense response of a drainage area to heavy rainfall events. In
the arid and semiarid parts of the Eastern Mediterranean (EM) region, the spatiotemporal …
the arid and semiarid parts of the Eastern Mediterranean (EM) region, the spatiotemporal …
Low-dimensional convolutional neural network for solar flares GOES time-series classification
Abstract Space weather phenomena such as solar flares have a massive destructive power
when they reach a certain magnitude. Here, we explore the deep-learning approach in order …
when they reach a certain magnitude. Here, we explore the deep-learning approach in order …
Toward real-time GNSS single-frequency precise point positioning using ionospheric corrections
Real− time single− frequency precise point positioning (PPP) is a promising low− cost
technique for achieving high− precision navigation with sub− meter or centimeter− level …
technique for achieving high− precision navigation with sub− meter or centimeter− level …
Accurate classification of fresh and charred grape seeds to the varietal level, using machine learning based classification method
Grapevine (Vitis vinifera L.) currently includes thousands of cultivars. Discrimination
between these varieties, historically done by ampelography, is done in recent decades …
between these varieties, historically done by ampelography, is done in recent decades …
Assessment of dynamic mode decomposition (DMD) model for ionospheric TEC map predictions
In this study, we assess the Dynamic Mode Decomposition (DMD) model applied with global
ionospheric vertical Total Electron Content (vTEC) maps to construct 24-h global …
ionospheric vertical Total Electron Content (vTEC) maps to construct 24-h global …
Predicting Eastern Mediterranean Flash Floods Using Support Vector Machines with Precipitable Water Vapor, Pressure, and Lightning Data
Flash floods in the Eastern Mediterranean (EM) region are considered among the most
destructive natural hazards, which pose a significant challenge to model due to their high …
destructive natural hazards, which pose a significant challenge to model due to their high …