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ECE
Huchegowda, C., Indumathi, G., & Huchegowda, N. (2021). Performance analysis of biorthogonal filter design using the lifting-based scheme for medical image transmission. International Journal of Computer Aided Engineering and Technology, 14(2), 206-224,. https://doi.org/10.1504/IJCAET.2021.113545
Vaddadi, S., Srinivas, V., Reddy, N., Girish, H., Rajkiran, D., & Devipriya, A. (2022). Factory Inventory Automation using Industry 4.0 Technologies. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/GlobConET53749.2022.9872416
Jiji, C. (2024). Optical lens modeling and optimization with machine learning algorithm for underwater imaging. Journal of Optics (India), 53(4), 3392-3410,. https://doi.org/10.1007/s12596-023-01549-4
Lakshmipathy, M., Jeevandharakumar, S. M., & Kodandaramaiah, G. (2023). An adaptive serial cascaded autoencoder and LSTM with multivariate regression for ambient air quality prediction with improved flow direction algorithm. Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 45(4), 10304-10329,. https://doi.org/10.1080/15567036.2023.2243273
Bhargava, T., Kumar, H., Godi, P., Girish, H., & Naik, J. (2024). IoT based fire alarm system using Blynk app. American Institute of Physics. https://doi.org/10.1063/5.0212325
Kavitha, D., & Lakshmi, C. (2023). Prenatal Detection of Ventricular Septal Defects by VGG -16 Model Using Ultrasound Images. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICMNWC60182.2023.10435780
Naik, J., Deeksha, B., Girish, H., Kashetty, G., ShivaPanchakshari, T., & Polakam, M. (2024). IoT based home automation using Blynk cloud. American Institute of Physics. https://doi.org/10.1063/5.0215427
Srinivasalu, G., & Umadevi, H. (2023). Proposed energy efficient clustering and routing for wireless sensor network. International Journal of Electrical and Computer Engineering, 13(4), 4127-4135,. https://doi.org/10.11591/ijece.v13i4.pp4127-4135
Vimala, P., Dharshan, K., Harshith, S., Kishore, V., & Usha, C. (2023). A Study of Graphene FET for Better Performance. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICEEICT56924.2023.10157680
