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Link to original content: https://dblp.uni-trier.de/pid/246/9237.rss
dblp: Vinay Vakharia https://dblp.org/pid/246/9237.html dblp person page RSS feed Sat, 03 Aug 2024 21:16:51 +0200 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Vinay Vakhariahttps://dblp.org/pid/246/9237.html14451 AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions.https://doi.org/10.1155/2024/8185044, , , , , , :
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. Int. J. Intell. Syst. 2024: 1-18 ()]]>
https://dblp.org/rec/journals/ijis/NairVSKWSI24Mon, 01 Jan 2024 00:00:00 +0100
Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management.https://doi.org/10.4018/joeuc.335591, :
Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management. J. Organ. End User Comput. 36(1): 1-25 ()]]>
https://dblp.org/rec/journals/joeuc/LiuV24Mon, 01 Jan 2024 00:00:00 +0100
Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection.https://doi.org/10.3390/s23083833, , , , , :
Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. Sensors 23(8): 3833 ()]]>
https://dblp.org/rec/journals/sensors/ShahBSPWV23Sun, 01 Jan 2023 00:00:00 +0100
An Analysis of Critical Success Factors of Implementation of Green Supply Chain Management in Indian Tube Manufacturing Industries.https://doi.org/10.1007/978-3-030-27928-8_147, , , :
An Analysis of Critical Success Factors of Implementation of Green Supply Chain Management in Indian Tube Manufacturing Industries. IHSED : 981-993]]>
https://dblp.org/rec/conf/ihsed/ThakurPCV19Tue, 01 Jan 2019 00:00:00 +0100
A comparison of feature ranking techniques for fault diagnosis of ball bearing.https://doi.org/10.1007/s00500-015-1608-6, , :
A comparison of feature ranking techniques for fault diagnosis of ball bearing. Soft Comput. 20(4): 1601-1619 ()]]>
https://dblp.org/rec/journals/soco/VakhariaGK16Fri, 01 Jan 2016 00:00:00 +0100