Random forest machine learning approach for efficient optimization of Sierpinski carpet fractal antenna
*Rakhee PatilCorresponding authorrp.rymec@gmail.comAffiliation 1Department of Electronics and Communication EngineeringRYM Engineering CollegeBallari, Karnataka, IndiaAffiliation 2Department of Electronics and Communication EngineeringVisvesvaraya Technological UniversityBelagavi, Karnataka, IndiaView full profile → , Kalpana Vanjerkhedekvanjerkhede@yahoo.co.inAffiliation 1Department of Electronics and Instrumentation EngineeringPDA College of EngineeringKalaburagi, Karnataka, IndiaAffiliation 2Department of Electronics and Instrumentation EngineeringVisvesvaraya Technological UniversityBelagavi, Karnataka, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 08 Jun 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1610
- Pages:
- 851–861
Abstract
Keywords
Subject Classifications
References
[1] A.Kanhaiya Sharma and Ganga Prasad Pandey “Designing a Compact Microstrip Antenna Using the Machine Learning Approach”, Journal of Telecommunication & Information Technology, India https://doi.org/10.26636/jtit.2020.143520.
[2] B. Choudhury, S. Thomas, and R. M. Jha, “Implementation of soft computing optimization techniques in antenna engineering[Antenna applications corner]”, IEEE Antenn. And Propag. Mag., vol. 57, no. 6, pp. 122-131 (2015) DOI: 10.1109/MAP.2015.2439612.
[3] Hirak Keshari Behera & Hirak Keshari Behera “Circularly polarized cup shaped patch antenna for Ku band application” Journal of Statistics & Management System,Taru Publications, Volume 26 | Issue 1, Pages 35-41 (2023). Published online: 31/12/2022, https://doi.org/10.47974/JSMS-945.
[4] L. Feruglio, \Arti_cial intelligence for small satellites mission autonomy”, Doctoral Dissertation, Politecnico di Torino, 2017 (DOI: 10.6092/polito/porto/2694565).
[5] L. Y. Xiao, W. Shao, F. L. Jin, and B. Z. Wang, ”Multiparameter modeling with ANN for antenna design”, IEEE Trans. on Antenna and Propag., vol. 66,
[6] Thomas,Choudhury, B., S., &J ha, R. M. “Implementation of soft computing optimization techniques in antenna engineering [antenna applications corner].” IEEE Antennas and Propagation Magazine, 57(6), 122-131 (2015).
[7] M. Singhal and G. Saini, “Optimization of antenna parameters using artificial neural network: A review,” International Journal of Computer Trends and Technology, vol. 44 (2017).
[8] Satyajeet Sharma* & Bhavna Sharma “Optimized data analysis through hybrid approach over trusted security environment” Journal of Information and Optimization Sciences, Taru Publications, Pages 331–340 | Print ISSN: 0252-2667, Online ISSN: 2169-0103 Volume 44 | Issue 3 (2023), Published online: 11/08/2023. https://doi.org/10.47974/JIOS-1344 .
[9] Wu, Q., W. Chen, C. Yu, H. Wang, and W. Hong, “Multilayer machine learning-assisted optimization-based robust design and its applications to antennas and array,” IEEE Transactions on Antennas and Propagation, Vol. 69, No. 9, 6052-6057, September (2021). doi:10.1109/TAP.2021.3069491.
[10] Gyanesh Singh* A. Q. Ansari & Md. Abul Kalam “Regression and classifier of real-time fault data using non-linear autoregressive exogenous model (NARX analysis) and comparing with Python tool” TARU Journal of Computer Dynamics & Technological Advances, Volume 1 | Issue 2, 3 & 4 (2019), https://doi.org/10.47974/2019.TJCDTA.012
[11] El Misilmani, Hilal M., TarekNaous, and Salwa K. Al Khatib, “A review on the design and optimization of antennas using machine learning algorithms and techniques,” International Journal of RF and Microwave Computer-Aided Engineering, Vol. 30, No. 10, e22356 (2020).doi:10.1002/mmce.22356.
[12] Ultra-Wideband CPW Fed Band-Notched Monopole Antenna Optimization Using Machine Learning. PinkuRanjan AnkitMaurya Harshit Gupta Swati Yadav Anand Sharma Progress In Electromagnetics Research M, Vol. 108, 27-38 (2022). doi:10.2528/PIERM21122802.
[13] Roy, A., Razia, S., Parveen, N., Rao, A. S., Nayak, S. R., & Poonia, R. C. Fuzzy rule based intelligent system for user authentication based on user behaviour. Journal of Discrete Mathematical Sciences and Cryptography, 23(2), 409–417 (2020). https://doi.org/10.1080/09720529.2020.1728894.
[14] Hayder Alibraheemi a,, Kassem Al Attabi a , Ahmed alkhayyat a , Dalal Abdul Mohsin Hammood ”Modelling and design of fractal antenna of multiband applications”, ELSEVIER..http://www.elsevier.com/locate/matpr May 2021.
[15] Hilal M. El Misilmani and TarekNaous, “Machine Learning in Antenna Design: An Overview on Machine Learning Concept and Algorithms” , 978-1-7281-4484-9/19/$31.00 ©2019 IEEE.
[16] Kumari, Rajani, et al. “Analysis and predictions of spread, recovery, and death caused by COVID-19 in India.” Big Data Mining and Analytics 4.2 : 65-75 (2021).
[17] Yanbin Li 1 , Gang Lei 2,* , GerdBramerdorfer 3 , Sheng Peng 1 , Xiaodong Sun 4 and Jianguo Zhu 5“Machine Learning for Design Optimization of Electromagnetic Devices: Recent Developments and Future Directions “Appl. Sci., 11, 1627 (2021). https://doi.org/10.3390/app11041627.
[18] Mobayode O. Akinsolu, Keyur K. Mistry†, Bo Liu∗, Pavlos I. Lazaridis†, Peter Excell ∗ “Machine Learning-assisted Antenna Design Optimization: A Review and the State-of-the-art,” IEEE Xplore Authorized licensed use limited to: University of New South Wales. July 11 (2020).
[19] Mohammad Monirujjaman Khan a, Sazzad Hossain a, Puezia Mozumdar a, Shamima Akter a, Ratil H. Ashique, “A review on machine learning and deep learning for various antenna design applications”, Volume 8, e09317 (2022), https://doi.org/10.1016/j.heliyon.2022.e0931719 April 2022.




