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12/10/2022
Forecasting formation of a Tropical Cyclone Using Reanalysis Data
The tropical cyclone formation process is one of the most complex natura...
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11/08/2021
SMU: smooth activation function for deep networks using smoothing maximum technique
Deep learning researchers have a keen interest in proposing two new nove...
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09/27/2021
SAU: Smooth activation function using convolution with approximate identities
Well-known activation functions like ReLU or Leaky ReLU are non-differen...
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09/09/2021
ErfAct and PSerf: Non-monotonic smooth trainable Activation Functions
An activation function is a crucial component of a neural network that i...
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07/07/2021
Tropical cyclone intensity estimations over the Indian ocean using Machine Learning
Tropical cyclones are one of the most powerful and destructive natural p...
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07/07/2021
Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network
Tropical cyclones can be of varied intensity and cause a huge loss of li...
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06/17/2021
Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks
We have proposed orthogonal-Padé activation functions, which are trainab...
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03/30/2021
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
The prediction of the intensity, location and time of the landfall of a ...
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03/30/2021
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data
Landfall of a tropical cyclone is the event when it moves over the land ...
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09/28/2020
EIS – a family of activation functions combining Exponential, ISRU, and Softplus
Activation functions play a pivotal role in the function learning using ...
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09/08/2020
