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Sandeep S. Udmale
Person information
- affiliation: Veermata Jijabai Technological Institute (VJTI), Department of Computer Engineering and Information Technology, Mumbai, India
- affiliation: Indian Institute of Technology (BHU), Department of Computer Science and Engineering, Varanasi, India
- affiliation: Dr. Babasaheb Ambedkar Technological University, Lonere, India
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2020 – today
- 2024
- [j13]Sandeep S. Udmale
, Aneesh G. Nath
An optimized extreme learning machine-based novel model for bearing fault classification. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [d1]Preeti Godabole, Aniket Samudre, Sandeep S. Udmale
Schedule and Overhead Trace of Mixed Critical Applications using Litmus-RT. IEEE DataPort, 2024 - 2023
- [j12]Anviti Pandey
An intelligent optimized deep learning model to achieve early prediction of epileptic seizures. Biomed. Signal Process. Control. 84: 104798 (2023) - [j11]Durgesh Singh
Integer wavelet transform based an effective fragile watermarking scheme for exact authentication and restoration. J. Ambient Intell. Humaniz. Comput. 14(5): 4841-4852 (2023) - [j10]Durgesh Singh
An efficient self-embedding fragile watermarking scheme for image authentication with two chances for recovery capability. Multim. Tools Appl. 82(1): 1045-1066 (2023) - [j9]Rachana Chaudhari, Dhwani Agarwal, Kritika Ravishankar, Nikita Masand, Vijay K. Sambhe, Sandeep S. Udmale
Multi-output incremental back-propagation. Neural Comput. Appl. 35(20): 14897-14910 (2023) - [c11]Akshay Bakshi, Sandeep S. Udmale
ALPR: A Method for Identifying License Plates Using Sequential Information. CAIP (1) 2023: 284-294 - [c10]Akshay Bakshi, Sudhanshu Gulhane, Tanish Sawant, Vijay Sambhe, Sandeep S. Udmale
ALPR - An Intelligent Approach Towards Detection and Recognition of License Plates in Uncontrolled Environments. ICDCIT 2023: 253-269 - [c9]Bhavya Mehta, Vijay Kharche, Sandeep S. Udmale
Accelerating the Search for Stable Full Heusler Compounds through Machine Learning. IRI 2023: 160-165 - 2022
- [j8]Atif Mahmood
Contemporary machine learning applications in agriculture: Quo Vadis? Concurr. Comput. Pract. Exp. 34(15) (2022) - [j7]Amey Bhole
CORF3D contour maps with application to Holstein cattle recognition from RGB and thermal images. Expert Syst. Appl. 192: 116354 (2022) - [j6]Anviti Pandey, Sanjay Kumar Singh
Epileptic Seizure Classification Using Battle Royale Search and Rescue Optimization-Based Deep LSTM. IEEE J. Biomed. Health Informatics 26(11): 5494-5505 (2022) - [c8]Sandeep S. Udmale
Application of Industry 4.0 and Meta Learning for Bearing Fault Classification. CSCWD 2022: 1455-1460 - [c7]Vipul Shah, Amey Bhole
A Deep Multi-kernel Uniform Capsule Approach for Hate Speech Detection. ICDCIT 2022: 265-271 - 2021
- [j5]Aneesh G. Nath
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review. Artif. Intell. Rev. 54(4): 2609-2668 (2021) - [j4]Aneesh G. Nath
An Early Classification Approach for Improving Structural Rotor Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c6]Vipul Shah, Sandeep S. Udmale
A Deep Hybrid Approach for Hate Speech Analysis. CAIP (1) 2021: 424-433 - [c5]Yash S. Jain, Atharva D. Veer, Gaurav S. Sawant, Yash R. Jain, Sandeep S. Udmale
Novel Statistical Analysis Approach for Remaining Useful Life Prediction of Lithium-Ion Battery. ICCCNT 2021: 1-6 - 2020
- [j3]Sandeep S. Udmale
A mechanical data analysis using kurtogram and extreme learning machine. Neural Comput. Appl. 32(8): 3789-3801 (2020) - [c4]Sandeep S. Udmale
Bearing Fault Classification Using Wavelet Energy and Autoencoder. ICDCIT 2020: 227-238
2010 – 2019
- 2019
- [j2]Sandeep S. Udmale
A bearing vibration data analysis based on spectral kurtosis and ConvNet. Soft Comput. 23(19): 9341-9359 (2019) - [j1]Sandeep S. Udmale
Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification. IEEE Trans. Instrum. Meas. 68(11): 4222-4233 (2019) - [c3]Sandeep S. Udmale
Analysis of Statistical Features for Bearing Fault Classification using Ensemble Technique. ICCCNT 2019: 1-6 - [c2]Sandeep S. Udmale
Intra-Inter Feature Ranking based Feature Selection Method for Bearing Fault Classification. ICCCNT 2019: 1-6 - 2010
- [c1]Laxman D. Netak
Analysis of Effect of Different Factors on Burst Dropping Probability in Optical Burst Switching Network. FGIT 2010: 99-113
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