Nilambar Sethi
Orcid: 0000-0003-3649-3233
According to our database1,
Nilambar Sethi authored at least 13 papers
between 2019 and 2025.
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Bibliography
2025
Deep analysis of weighted features utilizing MFCC, MEL-spectrogram, and LPC within the framework of convolution neural network and bidirectional LSTM for automatic stuttering classification.
Iran J. Comput. Sci., December, 2025
Deep analysis of MFCC and MEL spectrogram features to recognize and classify stuttered speech.
Multim. Tools Appl., October, 2025
2022
Forecasting Diabetes Correlated Non-alcoholic Fatty Liver Disease by Exploiting Naïve Bayes Tree.
EAI Endorsed Trans. Scalable Inf. Syst., 2022
Multim. Tools Appl., 2022
Inclusive Review on Extractive and Abstractive Text Summarization: Taxonomy, Datasets, Techniques and Challenges.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
2021
Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods.
EAI Endorsed Trans. Scalable Inf. Syst., 2021
Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction.
Int. J. Knowl. Based Intell. Eng. Syst., 2021
Generic model for automated player selection for cricket teams using recurrent neural networks.
Evol. Intell., 2021
2020
EAI Endorsed Trans. Pervasive Health Technol., 2020
Risk Assessment of Myocardial Infarction for Diabetics through Multi-Aspects Computing.
EAI Endorsed Trans. Pervasive Health Technol., 2020
2019
A multi-aspect analysis and prediction scheme for cricket matches in standard T-20 format.
Int. J. Knowl. Based Intell. Eng. Syst., 2019
A data mining scheme for detection and classification of diabetes mellitus using voting expert strategy.
Int. J. Knowl. Based Intell. Eng. Syst., 2019