A review on distribution system state estimation uncertainty issues using deep learning approaches von Raghuvamsi, Y, Teeparthi, Kiran

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Distribution system state estimation with Transformer-Bi-LSTM-based imputation model for missing measurements von Raghuvamsi, Y., Teeparthi, Kiran

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Distribution System State Estimation with Convolutional Generative Adversarial Imputation Networks for Missing Measurement Data von Raghuvamsi, Y., Teeparthi, Kiran

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A novel deep learning architecture for distribution system topology identification with missing PMU measurements von Raghuvamsi, Y, Teeparthi, Kiran, Kosana, Vishalteja

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Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approach von Raghuvamsi, Y., Teeparthi, Kiran

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Denoising autoencoder based topology identification in distribution systems with missing measurements von Raghuvamsi, Y., Teeparthi, Kiran, Kosana, Vishalteja

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Distribution system state estimation using physics-guided deep learning approach von Raghuvamsi, Y., Teeparthi, Kiran, D.M., Vinod Kumar, Abdul, Imran, Parri, Srihari

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Machine Learning-Based Prediction of Intergranular Corrosion Resistance in Austenitic Stainless Steels Exposed to Various Heat Treatments von Sheik, Surjan, Mohammed, Raffi, Teeparthi, Kiran, Raghuvamsi, Y.

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Improvement of Small Signal Stability of SMIB System with Optimized Power System Stabilizer von Raghuvamsi, Mr. Y., Abdul, Mr. Imran, Rajesh, Mr. Ch

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Power Quality Submetering using Iot von Narasimha, P.V.L., babu, K. Sandeep, sai, Y. Venkata, Raghuvamsi, Mr. Y.

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SARS-CoV-2 S protein:ACE2 interaction reveals novel allosteric targets von Raghuvamsi, Palur V, Tulsian, Nikhil K, Samsudin, Firdaus, Qian, Xinlei, Purushotorman, Kiren, Yue, Gu, Kozma, Mary M, Hwa, Wong Y, Lescar, Julien, Bond, Peter J, MacAry, Paul A, Anand, Ganesh S

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