Deep learning techniques in extreme weather events: A review
Extreme weather events pose significant challenges, thereby demanding techniques for
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …
MCGLN: A multimodal ConvLSTM-GAN framework for lightning nowcasting utilizing multi-source spatiotemporal data
Lightning phenomena can instigate a cascade of calamities, encompassing fires, electrical
infrastructure damage, and risks to human safety. Deep-learning-based lightning …
infrastructure damage, and risks to human safety. Deep-learning-based lightning …
PPFCM-SMOTE: a novel balancing system for anomaly detection in IoT edge using probabilistic possibilistic fuzzy clustering and SMOTE
The immense growth of the Internet of Things (IoT) technology enables potential intruders
easy access to the IoT data. The Anomaly Detection System (ADS) detects abnormal …
easy access to the IoT data. The Anomaly Detection System (ADS) detects abnormal …
A vision transformer for lightning intensity estimation using 3D weather radar
Lightning has strong destructive powers; its blast wave, high temperature, and high voltage
can pose a great threat to human production, life, and personal safety. The destructive …
can pose a great threat to human production, life, and personal safety. The destructive …
[HTML][HTML] An application of deep learning for lightning prediction in East Coast Malaysia
This paper presents the application of deep learning (DL) approach namely Feed-Forward
Neural Networks (FFNN) in predicting the location of lightning occurrences within 100 km …
Neural Networks (FFNN) in predicting the location of lightning occurrences within 100 km …
[HTML][HTML] Temporal map of electromagnetic emissions produced by laboratory atmospheric discharges
EV Parkevich, KV Shpakov, IS Baidin… - Journal of Applied …, 2024 - pubs.aip.org
We exhaustively investigate the temporal correlations between the ultrahigh-frequency (of
the order of 1–6 GHz), very high-frequency (of the order of 10–100 MHz), and x-ray (photons …
the order of 1–6 GHz), very high-frequency (of the order of 10–100 MHz), and x-ray (photons …
Research on spatial data management and application
J Li, F Sun, Y Chen - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
The characteristics of spatial data, such as wide variety, rapid growth of data production, and
complex application, pose new challenges to spatial data information services. The research …
complex application, pose new challenges to spatial data information services. The research …
Inducing Sparsity Within High-dimensional Remote Sensing Modalities for Lightning Prediction
GE Metzgar - 2023 - scholar.afit.edu
The uncertainty of lightning constantly threatens many weather-sensitive fields where the
slightest presence of lightning can endanger valuable personnel and assets. The …
slightest presence of lightning can endanger valuable personnel and assets. The …
[DOC][DOC] Early Detection of Forest Fire Based on Lightning Activity and Climatic Factors Using Deep Learning
R Shanmuga Priya, K Vani - survey.gov.lk
Forest fires significantly threaten ecosystems, contributing to climate change and
greenhouse gas emissions. Effective prediction and detection of forest fires can greatly …
greenhouse gas emissions. Effective prediction and detection of forest fires can greatly …