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Sujit Pardeshi

Sujit S. Pardeshi

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2020 – today

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2023
[j3]
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  dblp key:
  - journals/iswa/BajajPJPKG23
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  - https://dblp.org/rec/journals/iswa/BajajPJPKG23
Naman S. Bajaj, Abhishek D. Patange, R. Jegadeeshwaran, Sujit S. Pardeshi, Kaushal A. Kulkarni, Rohan S. Ghatpande:
Application of metaheuristic optimization based support vector machine for milling cutter health monitoring. Intell. Syst. Appl. 18: 200196 (2023)
2022
[j2]
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  - journals/ijpe/PatilPPP22
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  - https://dblp.org/rec/journals/ijpe/PatilPPP22
Sonali S. Patil, Sujit S. Pardeshi, Nikhil Pradhan, Abhishek D. Patange:
Cutting Tool Condition Monitoring using a Deep Learning-based Artificial Neural Network. Int. J. Perform. Eng. 18(1): 37 (2022)
[i2]
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  dblp key:
  - journals/corr/abs-2201-05698
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Aditya M. Medhi, Abhishek D. Patange, Sujit S. Pardeshi, R. Jegadeeshwaran, Mustafa Kuntoglu:
Overview of contemporary systems driven by open-design movement. CoRR abs/2201.05698 (2022)
2021
[j1]
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  - journals/ijpe/KhairnarPPJ21
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Apoorva Khairnar, Abhishek D. Patange, Sujit Pardeshi, R. Jegadeeshwaran:
Supervision of Carbide Tool Condition by Training of Vibration-based Statistical Model using Boosted Trees Ensemble. Int. J. Perform. Eng. 17(2): 229-240 (2021)
[i1]
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  - journals/corr/abs-2112-08421
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Tejas Y. Deo, Abhishek D. Patange, Sujit S. Pardeshi, R. Jegadeeshwaran, Apoorva N. Khairnar, Hrushikesh S. Khade:
A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations. CoRR abs/2112.08421 (2021)

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