Prasanjit Dey

Orcid: 0000-0002-2248-1701

According to our database1, Prasanjit Dey authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

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
NeSNet: A Deep Network for Estimating Near-Surface Pollutant Concentrations.
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
Sentiment Analysis using Modified GRU.
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


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