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Nilambar Sethi
Observed name:
., Nilambar Sethi
Institution:
GIET University
Observed institution:
GIET University
ORCID:
0009-0004-7510-862X
Observed ORCIDs:
0009-0004-7510-862X,
0000-0003-3649-3233
OpenAlex ID:
A5085852949
WITHDRAWN: Extensive analysis of machine learning algorithms to early detection of diabetic retinopathy
2020
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
Materials Today Proceedings
·
26
Evaluation of Deep Belief Network to Predict Hospital Readmission of Diabetic Patients
2020
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
International Conference on Inventive Research in Computing Applications (ICIRCA)
·
22
Risk Assessment of Myocardial Infarction for Diabetics through Multi-Aspects Computing
2020
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
EAI Endorsed Transactions on Pervasive Health and Technology
·
15
PDF
A Review of Data Mining Schemes for Prediction of Diabetes Mellitus and Correlated Ailments
2019
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
International Conference on Computing Communication Control and automation
·
15
A data mining scheme for detection and classification of diabetes mellitus using voting expert strategy
2019
·
Shiva Shankar Reddy
, R. Rajender
, et al.
·
International Journal of Knowledge-based and Intelligent Engineering Systems
·
15
Intelligent stuttering speech recognition: A succinct review
2022
·
Nilanjan Banerjee
, Samarjeet Borah
, et al.
·
Multimedia Tools and Applications
·
14
Mining of multiple ailments correlated to diabetes mellitus
2020
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
Evolutionary Intelligence
·
14
Diabetes Correlated Renal Fault Prediction through Deep Learning
2020
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
EAI Endorsed Transactions on Pervasive Health and Technology
·
13
PDF
Non-invasive Diagnosis of Diabetes Using Chaotic Features and Genetic Learning
2022
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
Lecture notes in networks and systems
·
12
Safe Prediction of Diabetes Mellitus Using Weighted Conglomeration of Mining Schemes
2020
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
International Conference on Electronics, Communication and Aerospace Technology (ICECA)
·
12
Forecasting Diabetes Correlated Non-alcoholic Fatty Liver Disease by Exploiting Naïve Bayes Tree
2018
·
Shiva Reddy
, Nilambar Sethi
, et al.
·
ICST Transactions on Scalable Information Systems
·
12
Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction
2022
·
Shiva Shankar Reddy
, Nilambar Sethi
, et al.
·
International Journal of Knowledge-based and Intelligent Engineering Systems
·
11
Generic model for automated player selection for cricket teams using recurrent neural networks
2020
·
V. Sivaramaraju Vetukuri
, Nilambar Sethi
, et al.
·
Evolutionary Intelligence
·
11
A Centralized Faulty Node Detection Algorithm Based on Statistical Analysis in WSN
2020
·
Rabindra Kumar Shial
, Bhabani Sankar Gouda
, et al.
·
International Conference on Computer Science, Engineering and Applications (ICCSEA)
·
11
Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods
2018
·
Shiva Reddy
, Nilambar Sethi
, et al.
·
ICST Transactions on Scalable Information Systems
·
10
PDF
Deep analysis of MFCC and MEL spectrogram features to recognize and classify stuttered speech
2025
·
Nilanjan Banerjee
, Nilambar Sethi
, et al.
·
Multimedia Tools and Applications
·
8
A Review of Data Analytic Schemes for Prediction of Vivid Aspects in International Cricket Matches
2019
·
V Sivarama Raju
, Nilambar Sethi
, et al.
·
International Conference on Computing Communication Control and automation
·
8
Advancing Liver Disease Prediction with Multi-Modal Graph Neural Networks and Federated Meta-Learning
2025
·
Sucheta Krupalini Moharana
, Nilambar Sethi
, et al.
·
International Conference on Intelligent Computing and Control Systems (ICICCS)
·
7
A multi-aspect analysis and prediction scheme for cricket matches in standard T-20 format
2019
·
V. Sivaramaraju Vetukuri
, R. Rajender
, et al.
·
International Journal of Knowledge-based and Intelligent Engineering Systems
·
6
A Survey on Detection of Malicious Nodes in Wireless Sensor Networks
2022
·
Minakshi Sahu
, Nilambar Sethi
, et al.
·
International Conference on Trends in Electronics and Informatics (ICOEI)
·
5
Summarization of Legal Texts by Using Deep Learning Approaches
2024
·
Nilambar Sethi
, V. Sivarama Raju Vetukuri
, et al.
·
CRC Press eBooks
·
4
Two Phase Ensemble Learning Based Extractive Summarization for Short Documents
2023
·
Gitanjali Mishra
, Nilambar Sethi
, et al.
·
Lecture notes in networks and systems
·
4
Inclusive Review on Extractive and Abstractive Text Summarization: Taxonomy, Datasets, Techniques and Challenges
2023
·
Gitanjali Mishra
, Nilambar Sethi
, et al.
·
Lecture notes in networks and systems
·
4
Probabilistic Interpretation of Complex Fuzzy Set
2012
·
Nilambar Sethi
·
International Journal of Computer Science Engineering and Information Technology
·
4
PDF
Fuzzy Bi-GRU Based Hybrid Extractive and Abstractive Text Summarization for Long Multi-documents
2023
·
Gitanjali Mishra
, Nilambar Sethi
, et al.
·
Lecture notes in networks and systems
·
3
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Works count:
41
Citation count:
281
H-index:
11
I10-index:
15
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