1 citations · 1 across the 2 of their papers we have counts for
5 papers
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus +2
In real world scenarios, out-of-distribution (OOD) datasets may have a large distributional shift from training datasets. This phenomena generally occurs when a trained classifier…
Does Adversarial Oversampling Help us?
Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti +2
Traditional oversampling methods are generally employed to handle class imbalance in datasets. This oversampling approach is independent of the classifier; thus, it does not offer…
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles
Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti +2
There exists an increasing demand for a flexible and computationally efficient controller for micro aerial vehicles (MAVs) due to a high degree of environmental perturbations. In t…
Development of a Sliding Mode Control Based Adaptive Fuzzy Controller for a Flapping Flight
Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt +1
Controlling of a flapping flight is one of the recent research topics related to the field of Flapping Wing Micro Air Vehicle (FW MAV). In this work, an adaptive control system for…
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression
Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti +1
Data stream has been the underlying challenge in the age of big data because it calls for real-time data processing with the absence of a retraining process and/or an iterative lea…