Milind Shah - Concepedia

Author

Milind Shah

Pandit Deendayal Petroleum University ORCID

Also Known As

M. Z. Abbas Shah, Manav Shah, Milind Shah, Milind shah

Publications

520

Citations

H-Index

Concepts

All Affiliations

Pandit Deendayal Petroleum University Indian Institute of Technology Gandhinagar Medi-Caps University University of Portsmouth South Ural State University

About

Milind Shah is an author at Pandit Deendayal Petroleum University specializing in machine learning, engineering, and systems engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	448
2	Computer Engineering	4	4	226
3	Computer Science	3	3	111
4	Business	1	1	34
5	Applied Physics	1	1	41

Milind Shah

Publications

503

Citations

H-Index

Page 1

	Year	Citations
Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models Milind Shah, Vinay Vakharia, Rakesh Chaudhari, The International Journal of Advanced Manufacturing Technology EngineeringMachine LearningIndustrial EngineeringMechanical EngineeringStacked Lstm Model	2022	96
Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model Vinay Vakharia, Milind Shah, Pranav Nair, Batteries Artificial IntelligenceEngineeringMachine LearningStacked Lstm ModelHealth Evaluation	2023	83
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions Pranav Nair, Vinay Vakharia, Milind Shah, International Journal of Intelligent Systems Search OptimizationEngineeringMachine LearningHome Energy StorageData Science	2024	59
Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine Venish Suthar, Vinay Vakharia, Vivek Patel, Machines Search OptimizationFault DiagnosisEngineeringMachine LearningMechanical Engineering	2022	56
Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model Vinay Vakharia, Jay Vora, Sakshum Khanna, Journal of Materials Research and Technology	2022	55
Enhancing Tool Wear Prediction Accuracy Using Walsh–Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection Milind Shah, Himanshu Borade, Vedant Sanghavi, Sensors EngineeringMachine LearningIndustrial EngineeringMachine Learning AlgorithmsMachine Learning Tool	2023	43
Hybrid perovskites thin films morphology identification by adapting multiscale-SinGAN architecture, heat transfer search optimized feature selection and machine learning algorithms Vinay Vakharia, Milind Shah, Venish Suthar, Physica Scripta EngineeringMachine LearningMachine Learning AlgorithmsHalide PerovskitesPerovskite Module	2022	41
Utilizing TGAN and ConSinGAN for Improved Tool Wear Prediction: A Comparative Study with ED-LSTM, GRU, and CNN Models Milind Shah, Himanshu Borade, Vipul Dave, Electronics Convolutional Neural NetworkEngineeringMachine LearningData ScarcityData Science	2024	36
Predicting Li-Ion Battery Remaining Useful Life: An XDFM-Driven Approach with Explainable AI Pranav Nair, Vinay Vakharia, Himanshu Borade, Energies Artificial IntelligenceEngineeringMachine LearningLife PredictionMachine Learning Models	2023	34

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