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Venkataramana Veeramsetty
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2020 – today
- 2024
- [j8]Venkataramana Veeramsetty:
Distribution locational marginal price computation based on active power loss and emissions in active distribution system using nucleolus theory. Evol. Intell. 17(1): 249-265 (2024) - [j7]Venkataramana Veeramsetty, Pravallika Jadhav, Eslavath Ramesh, Srividya Srinivasula:
Zero crossing point detection in a distorted sinusoidal signal using random forest classifier. Int. J. Syst. Assur. Eng. Manag. 15(10): 4806-4824 (2024) - 2023
- [j6]Gaurav Singal, Himanshu Singhal, Riti Kushwaha, Venkataramana Veeramsetty, Tapas Badal, Sonu Lamba:
RoadWay. Multim. Tools Appl. 82(4): 4965-4978 (2023) - 2022
- [j5]Venkataramana Veeramsetty, Srividya Srinivasula, Surender Reddy Salkuti:
Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model. Comput. 11(6): 94 (2022) - [j4]Venkataramana Veeramsetty, Modem Sai Pavan Kumar, Surender Reddy Salkuti:
Platform-Independent Web Application for Short-Term Electric Power Load Forecasting on 33/11 kV Substation Using Regression Tree. Comput. 11(8): 119 (2022) - 2021
- [j3]Venkataramana Veeramsetty, Bhavana Reddy Edudodla, Surender Reddy Salkuti:
Zero-Crossing Point Detection of Sinusoidal Signal in Presence of Noise and Harmonics Using Deep Neural Networks. Algorithms 14(11): 329 (2021) - [j2]Venkataramana Veeramsetty, D. Rakesh Chandra, Surender Reddy Salkuti:
Short-term electric power load forecasting using factor analysis and long short-term memory for smart cities. Int. J. Circuit Theory Appl. 49(6): 1678-1703 (2021) - 2020
- [j1]Venkataramana Veeramsetty, Gaurav Singal, Tapas Badal:
Coinnet: platform independent application to recognize Indian currency notes using deep learning techniques. Multim. Tools Appl. 79(31-32): 22569-22594 (2020)
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