Weather identification using models based on deep learning
Accurate weather forecasting is increasingly crucial as climate change intensifies the unpredictability of weather patterns, posing challenges to traditional forecasting models reliant on human observation or numerical methods. Researchers are working on precise weather forecasting to improve our pr...
Saved in:
Main Authors: | Afroza Nahar, Rifat Al Mamun Rudro, Bakhtiar Atiq Faisal, Md. Faruk Abdullah Al Sohan, Laveet Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Mehran University of Engineering and Technology
2025-01-01
|
Series: | Mehran University Research Journal of Engineering and Technology |
Online Access: | https://publications.muet.edu.pk/index.php/muetrj/article/view/2905 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks
by: Sohrab Khan, et al.
Published: (2022-01-01) -
Deep Learning Framework for Advanced De-Identification of Protected Health Information
by: Ahmad Aloqaily, et al.
Published: (2025-01-01) -
Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms
by: Goro Fujiki, MD, et al.
Published: (2025-01-01) -
An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease
by: Md. Jakir Hossen, et al.
Published: (2024-01-01) -
Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble
by: Xi Zhu, et al.
Published: (2024-01-01)