References
[1]. Sathishkumar, V. E., Venkatesan, S., Park, J., Shin, C., Kim, Y., & Cho, Y. (2020, April). Nutrient water supply prediction for fruit production in greenhouse environment using artificial neural networks. In Basic & Clinical Pharmacology & Toxicology (Vol. 126, pp. 257-258). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.
[2]. Zhongshan, C., Xinning, F., Manickam, A., & Sathishkumar, V. E. (2021). Facial landmark detection using artificial intelligence techniques. Annals of Operations Research, 1-19.
[3]. Shanthi, N., VE, S., Upendra Babu, K., Karthikeyan, P., Rajendran, S., & Allayear, S. M. (2022). Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques. Computational Intelligence & Neuroscience.
[4]. Kogilavani, S. V., Sathishkumar, V. E., & Subramanian, M. (2022, May). AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques. In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 400-403). IEEE.
[5]. Pavithra, E., Janakiramaiah, B., Narasimha Prasad, L. V., Deepa, D., Jayapandian, N., & Sathishkumar, V. E. (2022). Visiting Indian Hospitals Before, During and After COVID. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems.
[6]. Sathishkumar, V. E., Park, J., & Cho, Y. (2020). Using data mining techniques for bike sharing demand prediction in metropolitan city. Computer Communications, 153, 353-366.
[7]. Krishnamoorthy, N., Prasad, L. N., Kumar, C. P., Subedi, B., Abraha, H. B., & Sathishkumar, V. E. (2021). Rice leaf diseases prediction using deep neural networks with transfer learning. Environmental Research, 198, 111275.
[8]. Easwaramoorthy, S., Sophia, F., & Prathik, A. (2016, February). Biometric Authentication using fingernails. In 2016 international conference on emerging trends in engineering, technology and science (ICETETS) (pp. 1-6). IEEE.
[9]. VE, S., & Cho, Y. (2020). Season wise bike sharing demand analysis using random forest algorithm. Computational Intelligence.
[10]. Zhang, M., Wang, X., Sathishkumar, V. E., & Sivakumar, V. (2021). Machine learning techniques based on security management in smart cities using robots. Work, 68(3), 891-902.
[11]. Subedi, B., Sathishkumar, V. E., Maheshwari, V., Kumar, M. S., Jayagopal, P., & Allayear, S. M. (2022). Feature learning-based generative adversarial network data augmentation for class-based few-shot learning. Mathematical Problems in Engineering, 2022.
[12]. Subramanian, M., Shanmuga Vadivel, K., Hatamleh, W. A., Alnuaim, A. A., Abdelhady, M., & VE, S. (2022). The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis. Expert systems, 39(6), e12834.
[13]. Subramanian, M., Lv, N. P., & VE, S. (2022). Hyperparameter optimization for transfer learning of VGG16 for disease identification in corn leaves using Bayesian optimization. Big Data, 10(3), 215-229.
Cite this article
S.K.B,S.;Immanuel,R.R.;R.,S.;M.,S.K. (2023). An empirical analysis of the growth of artificial intelligence in socio economic environment. Applied and Computational Engineering,5,625-630.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Sathishkumar, V. E., Venkatesan, S., Park, J., Shin, C., Kim, Y., & Cho, Y. (2020, April). Nutrient water supply prediction for fruit production in greenhouse environment using artificial neural networks. In Basic & Clinical Pharmacology & Toxicology (Vol. 126, pp. 257-258). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.
[2]. Zhongshan, C., Xinning, F., Manickam, A., & Sathishkumar, V. E. (2021). Facial landmark detection using artificial intelligence techniques. Annals of Operations Research, 1-19.
[3]. Shanthi, N., VE, S., Upendra Babu, K., Karthikeyan, P., Rajendran, S., & Allayear, S. M. (2022). Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques. Computational Intelligence & Neuroscience.
[4]. Kogilavani, S. V., Sathishkumar, V. E., & Subramanian, M. (2022, May). AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques. In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 400-403). IEEE.
[5]. Pavithra, E., Janakiramaiah, B., Narasimha Prasad, L. V., Deepa, D., Jayapandian, N., & Sathishkumar, V. E. (2022). Visiting Indian Hospitals Before, During and After COVID. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems.
[6]. Sathishkumar, V. E., Park, J., & Cho, Y. (2020). Using data mining techniques for bike sharing demand prediction in metropolitan city. Computer Communications, 153, 353-366.
[7]. Krishnamoorthy, N., Prasad, L. N., Kumar, C. P., Subedi, B., Abraha, H. B., & Sathishkumar, V. E. (2021). Rice leaf diseases prediction using deep neural networks with transfer learning. Environmental Research, 198, 111275.
[8]. Easwaramoorthy, S., Sophia, F., & Prathik, A. (2016, February). Biometric Authentication using fingernails. In 2016 international conference on emerging trends in engineering, technology and science (ICETETS) (pp. 1-6). IEEE.
[9]. VE, S., & Cho, Y. (2020). Season wise bike sharing demand analysis using random forest algorithm. Computational Intelligence.
[10]. Zhang, M., Wang, X., Sathishkumar, V. E., & Sivakumar, V. (2021). Machine learning techniques based on security management in smart cities using robots. Work, 68(3), 891-902.
[11]. Subedi, B., Sathishkumar, V. E., Maheshwari, V., Kumar, M. S., Jayagopal, P., & Allayear, S. M. (2022). Feature learning-based generative adversarial network data augmentation for class-based few-shot learning. Mathematical Problems in Engineering, 2022.
[12]. Subramanian, M., Shanmuga Vadivel, K., Hatamleh, W. A., Alnuaim, A. A., Abdelhady, M., & VE, S. (2022). The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis. Expert systems, 39(6), e12834.
[13]. Subramanian, M., Lv, N. P., & VE, S. (2022). Hyperparameter optimization for transfer learning of VGG16 for disease identification in corn leaves using Bayesian optimization. Big Data, 10(3), 215-229.