Publications by authors named "Neeraj Dhanraj Bokde"
Classification of motor imagery (MI) tasks provides a robust solution for specially-abled people to connect with the milieu for brain-computer interface. Precise selection of uniform tuning parameters of tunable Q wavelet transform (TQWT) for electroencephalography (EEG) signals is arduous. Therefore, this paper proposes robust TQWT for automatically selecting optimum tuning parameters to decompose non-stationary EEG signals accurately.
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- Facial micro expressions are quick, involuntary displays of emotions that reveal a person's true feelings, even when they try to hide them.
- Current detection methods are evolving, especially with approaches like the Lossless Attention Residual Network (LARNet), which focuses on key facial areas (nose, cheeks, mouth, and eyes) to improve accuracy in identifying these subtle expressions.
- LARNet is shown to surpass existing techniques in detecting micro expressions in real-time and improves further with more annotated training data.
Pneumonia causes the death of around 700,000 children every year and affects 7% of the global population. Chest X-rays are primarily used for the diagnosis of this disease. However, even for a trained radiologist, it is a challenging task to examine chest X-rays.
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