Analysis of Effect of Different Factors on Burst Dropping Probability in Optical Burst Switching Network. - Laxman D. Netak; Sandeep S. Udmale; Girish V. Chowdhary 002; Rupali Tajanpure (FGIT, 2010)

Analysis of Statistical Features for Bearing Fault Classification using Ensemble Technique. - Sandeep S. Udmale; Sanjay Kumar Singh (ICCCNT, 2019)

Intra-Inter Feature Ranking based Feature Selection Method for Bearing Fault Classification. - Sandeep S. Udmale; Sanjay Kumar Singh (ICCCNT, 2019)

A bearing vibration data analysis based on spectral kurtosis and ConvNet. - Sandeep S. Udmale; Sangram S. Patil; Vikas M. Phalle; Sanjay Kumar Singh (Soft Comput., 2019)

Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification. - Sandeep S. Udmale; Sanjay Kumar Singh (IEEE Trans. Instrum. Meas., 2019)

Bearing Fault Classification Using Wavelet Energy and Autoencoder. - Sandeep S. Udmale; Sanjay Kumar Singh (ICDCIT, 2020)

A mechanical data analysis using kurtogram and extreme learning machine. - Sandeep S. Udmale; Sanjay Kumar Singh (Neural Comput. Appl., 2020)

A Deep Hybrid Approach for Hate Speech Analysis. - Vipul Shah; Sandeep S. Udmale; Vijay Sambhe; Amey Bhole (CAIP (1), 2021)

Novel Statistical Analysis Approach for Remaining Useful Life Prediction of Lithium-Ion Battery. - Yash S. Jain; Atharva D. Veer; Gaurav S. Sawant; Yash R. Jain; Sandeep S. Udmale (ICCCNT, 2021)

Role of artificial intelligence in rotor fault diagnosis: a comprehensive review. - Aneesh G. Nath; Sandeep S. Udmale; Sanjay Kumar Singh (Artif. Intell. Rev., 2021)

An Early Classification Approach for Improving Structural Rotor Fault Diagnosis. - Aneesh G. Nath; Anshul Sharma; Sandeep S. Udmale; Sanjay Kumar Singh (IEEE Trans. Instrum. Meas., 2021)

Application of Industry 4.0 and Meta Learning for Bearing Fault Classification. - Sandeep S. Udmale; Aneesh G. Nath; Sanjay Kumar Singh (CSCWD, 2022)

A Deep Multi-kernel Uniform Capsule Approach for Hate Speech Detection. - Vipul Shah; Amey Bhole; Sandeep S. Udmale; Vijay Sambhe (ICDCIT, 2022)

Contemporary machine learning applications in agriculture: Quo Vadis? - Atif Mahmood; Amod Kumar Tiwari; Sanjay Kumar Singh; Sandeep S. Udmale (Concurr. Comput. Pract. Exp., 2022)

CORF3D contour maps with application to Holstein cattle recognition from RGB and thermal images. - Amey Bhole; Sandeep S. Udmale; Owen Falzon; George Azzopardi (Expert Syst. Appl., 2022)

Epileptic Seizure Classification Using Battle Royale Search and Rescue Optimization-Based Deep LSTM. - Anviti Pandey; Sanjay Kumar Singh; Sandeep S. Udmale; Kaushal K. Shukla (IEEE J. Biomed. Health Informatics, 2022)

ALPR: A Method for Identifying License Plates Using Sequential Information. - Akshay Bakshi; Sandeep S. Udmale (CAIP (1), 2023)

ALPR - An Intelligent Approach Towards Detection and Recognition of License Plates in Uncontrolled Environments. - Akshay Bakshi; Sudhanshu Gulhane; Tanish Sawant; Vijay Sambhe; Sandeep S. Udmale (ICDCIT, 2023)

Accelerating the Search for Stable Full Heusler Compounds through Machine Learning. - Bhavya Mehta; Vijay Kharche; Sandeep S. Udmale (IRI, 2023)

Integer wavelet transform based an effective fragile watermarking scheme for exact authentication and restoration. - Durgesh Singh 001; Sandeep Sambhaji Udmale; Sanjay Kumar Singh (J. Ambient Intell. Humaniz. Comput., 2023)

An efficient self-embedding fragile watermarking scheme for image authentication with two chances for recovery capability. - Durgesh Singh 001; Sanjay Kumar Singh; Sandeep Sambhaji Udmale (Multim. Tools Appl., 2023)

An intelligent optimized deep learning model to achieve early prediction of epileptic seizures. - Anviti Pandey; Sanjay Kumar Singh; Sandeep S. Udmale; Kaushal K. Shukla (Biomed. Signal Process. Control., 2023)

Multi-output incremental back-propagation. - Rachana Chaudhari; Dhwani Agarwal; Kritika Ravishankar; Nikita Masand; Vijay K. Sambhe; Sandeep S. Udmale (Neural Comput. Appl., 2023)

An optimized extreme learning machine-based novel model for bearing fault classification. - Sandeep S. Udmale; Aneesh G. Nath; Durgesh Singh 001; Aman Singh; Xiaochun Cheng; Divya Anand; Sanjay Kumar Singh (Expert Syst. J. Knowl. Eng., 2024)

Schedule and Overhead Trace of Mixed Critical Applications using Litmus-RT. - Preeti Godabole; Aniket Samudre; Sandeep S. Udmale; Girish P. Bhole (IEEE DataPort, 2024)

InVideo Search: Scene Description Clustering and Integrating Image and Audio Captioning for Enhanced Video Search. - Almira Asif Khan; Muhammed; Asher Mathews Shaji; Devika Sujith; Aneesh G. Nath; Sandeep S. Udmale (ICDCIT, 2025)

Classification of Impacted Teeth from Panoramic Radiography Using Deep Learning. - Shweta Kharat; Sandeep S. Udmale; Aneesh G. Nath; Girish P. Bhole; Sunil G. Bhirud (ICDCIT, 2025)

SMOTEHashBoost: Ensemble Algorithm for Imbalanced Dataset Pattern Classification. - Seema Yadav; Dhruvanshu Joshi; Soham Mulye; Sandeep S. Udmale; Girish P. Bhole (IEEE Access, 2025)

Enhanced Electricity Forecasting for Smart Buildings Using a TCN-Bi-LSTM Deep Learning Model. - Sandeep Kumar Gautam; Vinayak Shrivastava; Sandeep S. Udmale (Expert Syst. J. Knowl. Eng., 2025)

Enhancing electroencephalogram signal quality in epileptic patients using bidirectional stochastic long short-term memory network. - Anviti Pandey; Sanjay Kumar Singh; Sandeep S. Udmale; Kaushal K. Shukla (Neural Comput. Appl., 2025)

On resolving the out of vocabulary problem in DisCoCat-based quantum natural language processing. - Amey Bhatuse; Ankit Khandelwal; Sandeep S. Udmale; M. Girish Chandra; Sopan Kolte (Evol. Syst., 2025)