Prasanjit Dey
Orcid: 0000-0002-2248-1701
According to our database1,
Prasanjit Dey authored at least 16 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution.
CoRR, April, 2026
PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO<sub>2</sub> and SO<sub>2</sub> Using Satellite-Ground Data Fusion.
CoRR, April, 2026
NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting.
CoRR, April, 2026
Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings.
CoRR, March, 2026
One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting.
CoRR, March, 2026
2024
CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM$_{2.5}$ Concentration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach.
IEEE Geosci. Remote. Sens. Lett., 2024
Use-Net: Satellite Data-Based Framework for Optimizing Billboard Placement in Urban Areas.
Proceedings of the IGARSS 2024, 2024
NES-VIT-NET: A Nested Vision Transformer-Based Network for Near-Surface NO2 Estimation from Satellite and Ground Observations.
Proceedings of the IGARSS 2024, 2024
Attention-Based ResNet for Accurate Water Body Classification Using Spectral Indices.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
BiLSTM-BiGRU: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022
2021
t-SNE and variational auto-encoder with a bi-LSTM neural network-based model for prediction of gas concentration in a sealed-off area of underground coal mines.
Soft Comput., 2021
Deep convolutional neural network based secure wireless voice communication for underground mines.
J. Ambient Intell. Humaniz. Comput., 2021
Secure decision tree twin support vector machine training and classification process for encrypted IoT data via blockchain platform.
Concurr. Comput. Pract. Exp., 2021