A 3MPixel Low-Noise Flexible Architecture CMOS Image Sensor von Jungwook Yang, Fife, K.G., Brooks, L., Sodini, C.G., Betts, A., Mudunuru, P., Hae-Seung Lee

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Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado von Jiang, Peishi, Shuai, Pin, Sun, Alexander, Mudunuru, Maruti K, Chen, Xingyuan

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Deep learning with mixup augmentation for improved pore detection during additive manufacturing von Ahmmed, Bulbul, Rau, Elisabeth G., Mudunuru, Maruti K., Karra, Satish, Tempelman, Joshua R., Wachtor, Adam J., Forien, Jean-Baptiste, Guss, Gabe M., Calta, Nicholas P., DePond, Phillip J., Matthews, Manyalibo J.

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Uncovering acoustic signatures of pore formation in laser powder bed fusion von Tempelman, Joshua R., Mudunuru, Maruti K., Karra, Satish, Wachtor, Adam J., Ahmmed, Bulbul, Flynn, Eric B., Forien, Jean-Baptiste, Guss, Gabe M., Calta, Nicholas P., DePond, Phillip J., Matthews, Manyalibo J.

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A validation study on the physiological parameters recorded by COVIDBEEP - An indigenous remote health monitoring system designed for COVID-19 care in India von Taranikanti, Madhuri, Mudunuru, Aswin, Fatima, Farheen, Maddur, Srinivas, Bandaru, Rajiv, Taranikanti, Sai, Guntuka, Rohith, Yerra, Aruna, Dhanunjaya, G, Raju, A

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Development of a physiologically based pharmacokinetic model of fostemsavir and its pivotal application to support dosing in pregnancy von Salem, Farzaneh, Nguyen, Dung, Bush, Mark, Moore, Katy P., Mudunuru, Jennypher, Stamatopoulos, Konstantinos, Thakkar, Nilay, Taskar, Kunal S.

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Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science von Hills, D. J., Damerow, J. E., Ahmmed, B., Catolico, N., Chakraborty, S., Coward, C. M., Crystal‐Ornelas, R., Duncan, W. D., Goparaju, L. N., Lin, C., Liu, Z., Mudunuru, M. K., Rao, Y., Rovetto, R. J., Sun, Z., Whitehead, B. P., Wyborn, L., Yao, T.

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Perspectives on Artificial Intelligence for Predictions in Ecohydrology von Massoud, Elias C., Hoffman, Forrest, Shi, Zheng, Tang, Jinyun, Alhajjar, Elie, Barnes, Mallory, Braghiere, Renato K., Cardon, Zoe, Collier, Nathan, Crompton, Octavia, Dennedy-Frank, P. James, Gautam, Sagar, Gonzalez-Meler, Miquel A., Green, Julia K., Koven, Charles, Levine, Paul, MacBean, Natasha, Mao, Jiafu, Mills, Richard Tran, Mishra, Umakant, Mudunuru, Maruti, Renchon, Alexandre A., Scott, Sarah, Siirila-Woodburn, Erica R., Sprenger, Matthias, Tague, Christina, Wang, Yaoping, Xu, Chonggang, Zarakas, Claire

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SWAT Watershed Model Calibration using Deep Learning von Mudunuru, M. K, Son, K, Jiang, P, Chen, X

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Women and Work: An Economic Investigation on Women Fish Vendors in Coastal Areas of Chennai District, India

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SWAT Watershed Model Calibration using Deep Learning von Mudunuru, M K, Son, K, Jiang, P, Chen, X

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Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico von Yuan, B, Tan, Y. J, Mudunuru, M. K, Marcillo, O. E, Delorey, A. A, Roberts, P. M, Webster, J. D, Gammans, C. N. L, Karra, S, Guthrie, G. D, Johnson, P. A

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Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico von Yuan, B, Tan, Y J, Mudunuru, M K, Marcillo, O E, Delorey, A A, Roberts, P M, Webster, J D, Gammans, C N L, Karra, S, Guthrie, G D, Johnson, P A

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