Neelamshobha Nirala

According to our database, Neelamshobha Nirala authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Empirical wavelet decomposition of photoplethysmographic signal for hypertension risk stratification and detection of diabetes mellitus using machine learning techniques.

Muzaffar Khan, Bikesh Kumar Singh, Neelamshobha Nirala

Int. J. Medical Eng. Informatics, 2025

2024

Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method.

Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh

Neural Comput. Appl., February, 2024

Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal.

Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala

Eng. Appl. Artif. Intell., 2024

2023

Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier.

Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh

Signal Image Video Process., 2023

An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification.

Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala

Biomed. Signal Process. Control., 2023

Implementation of an advanced lung nodule classification system using optimized ConvMixer and AdamW-based CNN architecture.

Resham Raj Shivwanshi, Neelamshobha Nirala

Proceedings of the Signal Processing: Algorithms, 2023

2020

Study of skin flow motion pattern using photoplethysmogram.

Neelamshobha Nirala, R. Periyasamy, Awanish Kumar

Int. J. Adv. Intell. Paradigms, 2020

2018

Potential of photoplethysmogram for the detection of calcification and stenosis in lower limb.

Neelamshobha Nirala, R. Periyasamy, Awanish Kumar

Int. J. Bioinform. Res. Appl., 2018