Ashish Kumar Pandey

Neural Comput. Appl., March, 2023

2022

Forecasting formation of a Tropical Cyclone Using Reanalysis Data.

[BibT_eX]

[DOI]

CoRR, 2022

SAU: Smooth Activation Function Using Convolution with Approximate Identities.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SMU: smooth activation function for deep networks using smoothing maximum technique.

[BibT_eX]

[DOI]

CoRR, 2021

Tropical cyclone intensity estimations over the Indian ocean using Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network.

[BibT_eX]

[DOI]

CoRR, 2021

Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks.

[BibT_eX]

[DOI]

Shilpak Banerjee

CoRR, 2021

TanhSoft - Dynamic Trainable Activation Functions for Faster Learning and Better Performance.

[BibT_eX]

[DOI]

IEEE Access, 2021

Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Track Prediction of Tropical Cyclones Using Long Short-Term Memory Network.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone.

[BibT_eX]

[DOI]