Srinivasan Keshav

代表成果

• Rau, E-P., Swinfield, T., Williams, A., Keshav, S. and Coomes, D., 2025 (No publication date). Research data supporting “Forecasting carbon credits of prospective REDD+ projects using regional carbon loss patterns” Doi: http://doi.org/10.17863/CAM.116193
• Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Research data supporting “Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release” Doi: 10.17863/CAM.110933
• Capol, L., Keshav, S. and Nagy, Z., 2025. Activity hours: Assessing liveability during heatwaves Building and Environment, v. 269 Doi: http://doi.org/10.1016/j.buildenv.2024.112339
• Feng, Z., She, Y. and Keshav, S., 2025. SPREAD: A large-scale, high-fidelity synthetic dataset for multiple forest vision tasks Ecological Informatics, v. 87 Doi: http://doi.org/10.1016/j.ecoinf.2025.103085
• Wang, J., Chang, L., Aggarwal, S., Abari, O. and Keshav, S., 2025. Sustainable and Low-Cost Greenhouse Soil Moisture Monitoring Using Battery-Free RFID Sensors ACM Transactions on Sensor Networks, v. 21 Doi: 10.1145/3715128
• Wilkins, G., Keshav, S. and Mortier, R., 2024. Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems ACM SIGEnergy Energy Informatics Review, v. 4 Doi: 10.1145/3727200.3727217
• Berkes, A. and Keshav, S., 2024. SPAGHETTI: a synthetic data generator for post-Covid electric vehicle usage Energy Informatics, v. 7 Doi: 10.1186/s42162-024-00314-6
• Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15 Doi: 10.1080/17583004.2024.2390854
• Holcomb, A., Burns, P., Keshav, S. and Coomes, DA., 2024. Repeat GEDI footprints measure the effects of tropical forest disturbances Remote Sensing of Environment, v. 308 Doi: 10.1016/j.rse.2024.114174
• Lisaius, MC., Blake, A., Keshav, S. and Atzberger, C., 2024. Using Barlow Twins to Create Representations From Cloud-Corrupted Remote Sensing Time Series IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 17 Doi: 10.1109/JSTARS.2024.3426044