Medical Image Data Classification Using Deep Machine Learning Techniques and Neural Networks

Authors

  • Dr. J Madhavan  Professor, Department of ECE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India.
  • Dr. N. Satheesh Kumar  Professor, Department of ECE, PBR Visvodaya Institute of Technology and Science, Kavali, SPSR Nellore, Andhra Pradesh, India
  • Dr. M. Venkatesan  Professor, Department of ECE, PBR Visvodaya Institute of Technology and Science, Kavali, SPSR Nellore, Andhra Pradesh, India
  • Dr. Bhaludra R Nadh Singh  Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India
  • Dr. Bremiga Gopalan  Assistant Professor, Department of ECE, Bhoj Reddy Engineering College for Women, Vinay Nagar, Hyderabad, Telangana, India

Keywords:

Copolymerization, Linalool, Methyl methacrylate, Reactivity ratio.

Abstract

Radical copolymerization methodology was explored by and making use of acyclic terpenoids namely linalool with methyl methacrylate (MMA) initiated by p-acetyl benzylidene triphenyl arsonium ylide (p-ABTAY) in xylene at 80±1 oC for 50 minutes under inert atmosphere of N2. The reaction results in alternating copolymer as evidenced from reactivity ratios. The system follows ideal kinetics . The overall activation energy is 93.0  kJ / mol . Alfrey Price, Q - e parameters for linalool has been evaluated as 5.02 and -2.30. The copolymer has been characterized by 1H-NMR, FTIR and TGA.

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International Journal of Scientific Research in Science and Technology

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Published

2020-05-30

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Volume 7, Issue 3, May-June-2020

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Research Articles

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How to Cite

[1]
Dr. J Madhavan, Dr. N. Satheesh Kumar, Dr. M. Venkatesan, Dr. Bhaludra R Nadh Singh, Dr. Bremiga Gopalan, " Medical Image Data Classification Using Deep Machine Learning Techniques and Neural Networks, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 3, pp.504-512, May-June-2020.