Ambalika Sharma

According to our database, Ambalika Sharma authored at least 13 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

MADRU-Net: Multiscale Attention-Based Cardiac MRI Segmentation Using Deep Residual U-Net.

Kamal Raj Singh, Ambalika Sharma, Girish Kumar Singh

IEEE Trans. Instrum. Meas., 2024

2023

Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network.

Prateek Singh, Ambalika Sharma, Shreesha Maiya

Expert Syst. Appl., December, 2023

Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation.

Kamal Raj Singh, Ambalika Sharma, Girish Kumar Singh

Biomed. Signal Process. Control., September, 2023

2022

Interpretation and Classification of Arrhythmia Using Deep Convolutional Network.

Prateek Singh, Ambalika Sharma

IEEE Trans. Instrum. Meas., 2022

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification.

Prateek Singh, Ambalika Sharma

IEEE Trans. Instrum. Meas., 2022

2020

Segmentation-free writer identification based on convolutional neural network.

Parveen Kumar, Ambalika Sharma

Comput. Electr. Eng., 2020

Asymmetric spread of heart rate variability.

Ashish Rohila, Ambalika Sharma

Biomed. Signal Process. Control., 2020

Using ECG as Biometric Trait: Approaches based on Variant CNN Architectures.

Ritu Nazneen Ara Begum, Ambalika Sharma, Girish K. Singh

Proceedings of the 12th International Conference on Electronics, 2020

2019

DCWI: Distribution descriptive curve and Cellular automata based Writer Identification.

Parveen Kumar, Ambalika Sharma

Expert Syst. Appl., 2019

Denoising of ECG Signal using Computationally Efficient Linear Phase Filtering.

Shanti Chandra, Ambalika Sharma, Girish K. Singh

Proceedings of the 10th International Conference on Computing, 2019

Profession Identification Using Handwritten Text Images.

Parveen Kumar, Manu Gupta, Mayank Gupta, Ambalika Sharma

Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

MBC-CA: Multithreshold Binary Conversion Based Salt-and-Pepper Noise Removal Using Cellular Automata.

Parveen Kumar, Mohd Haroon Ansari, Ambalika Sharma

Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

1997

Data Compression and Feature Extraction of Ecg Signals.

S. C. Saxena, Ambalika Sharma, Subash Chandra Chaudhary

Int. J. Syst. Sci., 1997