1. Yegnanarayana B. ANNs for pattern recognition. Sadhana. 1994;
2. Haglin JM, Jimenez G, Eltorai AEM. ANNs in medicine. Vol. 9, Health and Technology. Springer Verlag; 2019.
3. Travassos XL, Avila SL, Ida N. ANNs and Machine Learning techniques applied to Ground Penetrating Radar: A review. Applied Computing and Informatics. 2021.
4. Yang GR, Wang XJ. ANNs for Neuroscientists: A Primer. Neuron. 2020.
5. Krizhevsky A, Sutskever I, Hinton GE. ImageNet classification with deep convolutional neural networks. Commun ACM. 2017;
6. Buda M, Maki A, Mazurowski MA. A systematic study of the class imbalance problem in convolutional neural networks. Neural Networks. 2018;
7. Yu S, Jia S, Xu C. Convolutional neural networks for hyperspectral image classification. Neurocomputing. 2017;
8. Masi G, Cozzolino D, Verdoliva L, Scarpa G. Pansharpening by convolutional neural networks. Remote Sens. 2016;
9. Zheng HT, Chen JY, Yao X, Sangaiah AK, Jiang Y, Zhao CZ. Clickbait convolutional neural network. Symmetry (Basel). 2018;
10. Xia Y, Wulan N, Wang K, Zhang H. Detecting atrial fibrillation by deep convolutional neural networks. Comput Biol Med. 2018;
11. Matel E, Vahdatikhaki F, Hosseinyalamdary S, Evers T, Voordijk H. An ANN approach for cost estimation of engineering services. Int J Constr Manag. 2019;
12. Stošović MA, Litovski V. Applications of ANNs in electronics. Electronics. 2017.
13. Domitrović J, Dragovan H, Rukavina T, Dimter S. Application of an ANN in pavement management system. Teh Vjesn. 2018;
14. Marugán AP, Márquez FPG, Perez JMP, Ruiz-Hernández D. A survey of ANN in wind energy systems. Applied Energy. 2018.
15. Ma JW, Nguyen CH, Lee K, Heo J. Convolutional neural networks for rice yield estimation using MODIS and weather data: A case study for South Korea. J Korean Soc Surv Geod Photogramm Cartogr. 2016;
16. Sariev E, Germano G. Bayesian regularized ANNs for the estimation of the probability of default. Quant Financ. 2020;
17. Bomers A, van der Meulen B, Schielen RMJ, Hulscher SJMH. Historic Flood Reconstruction With the Use of an ANN. Water Resour Res. 2019;
18. Devogelaer JJ, Meekes H, Tinnemans P, Vlieg E, de Gelder R. Co-crystal Prediction by ANNs**. Angew Chemie - Int Ed. 2020;
19. Silva N, Ferreira LMDF, Silva C, Magalhães V, Neto P. Improving Supply Chain Visibility With ANNs. Procedia Manuf. 2017;
20. Rauber PE, Fadel SG, Falcão AX, Telea AC. Visualizing the Hidden Activity of ANNs. IEEE Trans Vis Comput Graph. 2017;
21. Wu Y chen, Feng J wen. Development and Application of ANN. Wirel Pers Commun. 2018;
22. Mirchi N, Bissonnette V, Ledwos N, Winkler-Schwartz A, Yilmaz R, Karlik B, et al. ANNs to Assess Virtual Reality Anterior Cervical Discectomy Performance. Oper Neurosurg. 2020;
23. Yamashita R, Nishio M, Do RKG, Togashi K. Convolutional neural networks: an overview and application in radiology. Insights into Imaging. 2018.
24. Al-Saffar AAM, Tao H, Talab MA. Review of deep convolution neural network in image classification. In: Proceeding - 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017. 2017.
25. Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, et al. Recent advances in convolutional neural networks. Pattern Recognit. 2018;

Assistant Professor, Department of Computer Applications, RIMT University, Mandi Gobindgarh, Punjab, India