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  1. Utilizing TGAN and ConSinGAN for Improved Tool Wear Prediction: A Comparative Study with ED-LSTM, GRU, and CNN Models

    Article • Electronics, September 2024, MDPI AG

    Mr. Milind Shah

  2. AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions

    Article • International Journal of Intelligent Systems, January 2024, Hindawi Publishing Corporation

    Dr Jana Shafi, Mr. Milind Shah

  3. Predicting Li-Ion Battery Remaining Useful Life: An XDFM-Driven Approach with Explainable AI

    Article • Energies, July 2023, MDPI AG

    Mr. Milind Shah, Dr. Vishal Ashok Wankhede

  4. Enhancing Tool Wear Prediction Accuracy Using Walsh–Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection

    Article • Sensors, April 2023, MDPI AG

    Mr. Milind Shah, Dr. Vishal Ashok Wankhede

  5. Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model

    Article • Batteries, February 2023, MDPI AG

    Mr. Milind Shah, Dr. Vishal Ashok Wankhede

  6. Hybrid perovskites thin films morphology identification by adapting multiscale-SinGAN architecture, heat transfer search optimized feature selection and machine learning algorithms

    Article • Physica Scripta, January 2023, Institute of Physics Publishing

    Mr. Milind Shah

  7. Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine

    Article • Machines, December 2022, MDPI AG

    Mr. Milind Shah

  8. Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models

    Article • The International Journal of Advanced Manufacturing Technology, May 2022, Springer Science + Business Media

    Mr. Milind Shah

  9. Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model

    Article • Journal of Materials Research and Technology, May 2022, Elsevier

    Mr. Milind Shah