Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data

Authors: Si, Haozhe, Wan, Yuxuan, Do, Minh, Vasisht, Deepak, Zhao, Han, Hamann, Hendrik F.

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2503.12843

Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling

Authors: Sakai, Masato, Freitag, Marcus, Sakurai, Akihisa, Albrecht, Conrad M, Hamann, Hendrik F

Source: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2024 - 2024 IEEE International. :2212-2215 Jul, 2024

Relation: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Accelerating Quasi-Static Time Series Simulations with Foundation Models

Authors: Puech, Alban, Mirallès, François, Weiss, Jonas, Mai, Vincent, Massé, Alexandre Blondin, de Montigny, Martin, Brunschwiler, Thomas, Hamann, Hendrik F.

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2411.08652

Optimal Power Grid Operations with Foundation Models

Authors: Puech, Alban, Weiss, Jonas, Brunschwiler, Thomas, Hamann, Hendrik F.

Subject Terms: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2409.02148

Foundation Models for the Electric Power Grid

Authors: Hamann, Hendrik F., Brunschwiler, Thomas, Gjorgiev, Blazhe, Martins, Leonardo S. A., Puech, Alban, Varbella, Anna, Weiss, Jonas, Bernabe-Moreno, Juan, Massé, Alexandre Blondin, Choi, Seong, Foster, Ian, Hodge, Bri-Mathias, Jain, Rishabh, Kim, Kibaek, Mai, Vincent, Mirallès, François, De Montigny, Martin, Ramos-Leaños, Octavio, Suprême, Hussein, Xie, Le, Youssef, El-Nasser S., Zinflou, Arnaud, Belyi, Alexander J., Bessa, Ricardo J., Bhattarai, Bishnu Prasad, Schmude, Johannes, Sobolevsky, Stanislav

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Electrical Engineering and Systems Science - Systems and Control

Access URL: http://arxiv.org/abs/2407.09434

Learning and Recognizing Archeological Features from LiDAR Data

Authors: Albrecht, Conrad M, Fisher, Chris, Freitag, Marcus, Hamann, Hendrik F, Pankanti, Sharathchandra, Pezzutti, Florencia, Rossi, Francesca

Source: 2019 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2019 IEEE International Conference on. :5630-5636 Dec, 2019

Relation: 2019 IEEE International Conference on Big Data (Big Data)

N-dimensional geospatial data and analytics for critical infrastructure risk assessment

Authors: Klein, Levente J, Albrecht, Conrad M, Zhou, Wang, Siebenschuh, Carlo, Pankanti, Sharathchandra, Hamann, Hendrik F, Lu, Siyuan

Source: 2019 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2019 IEEE International Conference on. :5637-5643 Dec, 2019

Relation: 2019 IEEE International Conference on Big Data (Big Data)

Event Clustering & Event Series Characterization on Expected Frequency

Authors: Albrecht, Conrad M, Freitag, Marcus, van Kessel, Theodore G, Lu, Siyuan, Hamann, Hendrik F

Source: 2017 IEEE International Conference on Big Data (Big Data)

Subject Terms: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Data Structures and Algorithms, Computer Science - Networking and Internet Architecture

Access URL: http://arxiv.org/abs/2004.02089

Spatial and temporal variation of three Eddy-Covariance flux footprints in a Tropical Dry Forest

Authors: Abdaki, Mohammed, Sanchez-Azofeifa, Arturo, Vargas, Rodrigo, Ludwig, Ralf, Hamann, Hendrik F.

Source: In Agricultural and Forest Meteorology 15 February 2024 345

Multi-decadal trends of low-clouds at the Tropical Montane Cloud Forests

Authors: Guzmán Q., J. Antonio, Hamann, Hendrik F., Sánchez-Azofeifa, G. Arturo

Source: In Ecological Indicators January 2024 158

Widespread degradation and limited protection of forests in global tropical dry ecosystems

Authors: Stan, Kayla D., Sanchez-Azofeifa, Arturo, Hamann, Hendrik F.

Source: In Biological Conservation January 2024 289

A low maintenance particle pollution sensing system using the Minimum Airflow Particle Counter (MAPC)

Authors: Van Kessel, Ted, Muralidhar, Ramachandran, Chang, Josephine B., Wang, Jun-Song, Schappert, Michael, Hamann, Hendrik F.

Source: 2017 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2017 IEEE International Conference on. :4577-4582 Dec, 2017

Relation: 2017 IEEE International Conference on Big Data (Big Data)

Short-term global horizontal irradiance forecasting based on sky imaging and pattern recognition

Authors: Feng, Cong, Cui, Mingjian, Lee, Meredith, Zhang, Jie, Hodge, Bri-Mathias, Lu, Siyuan, Hamann, Hendrik F.

Source: 2017 IEEE Power & Energy Society General Meeting Power & Energy Society General Meeting, 2017 IEEE. :1-5 Jul, 2017

Relation: 2017 IEEE Power & Energy Society General Meeting (PESGM)

Drone-based reconstruction for 3D geospatial data processing

Authors: Renwick, Jason D., Klein, Levente J., Hamann, Hendrik F.

Source: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) Internet of Things (WF-IoT), 2016 IEEE 3rd World Forum on. :729-734 Dec, 2016

Relation: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

Solar irradiance forecasting by machine learning for solar car races

Authors: Shao, Xiaoyan, Lu, Siyuan, van Kessel, Theodore G., Hamann, Hendrik F., Daehler, Leda, Cwagenberg, Jeffrey, Li, Alan

Source: 2016 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2016 IEEE International Conference on. :2209-2216 Dec, 2016

Relation: 2016 IEEE International Conference on Big Data (Big Data)

IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery

Authors: Lu, Siyuan, Shao, Xiaoyan, Freitag, Marcus, Klein, Levente J., Renwick, Jason, Marianno, Fernando J., Albrecht, Conrad, Hamann, Hendrik F.

Source: 2016 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2016 IEEE International Conference on. :2672-2675 Dec, 2016

Relation: 2016 IEEE International Conference on Big Data (Big Data)

A machine-learning approach for regional photovoltaic power forecasting

Authors: Yuan Li, Sun, Qian, Lehman, Brad, Lu, Siyuan, Hamann, Hendrik F., Simmons, Joseph, Black, Jon

Source: 2016 IEEE Power and Energy Society General Meeting (PESGM) Power and Energy Society General Meeting (PESGM), 2016. :1-5 Jul, 2016

Relation: 2016 IEEE Power and Energy Society General Meeting (PESGM)

Solar radiation forecast with machine learning

Authors: Shao, Xiaoyan, Lu, Siyuan, Hamann, Hendrik F.

Source: 2016 23rd International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD) Active-Matrix Flatpanel Displays and Devices (AMFPD), 2016 The 23rd International Workshop on Active-Matrix Flatpanel Displays and Devices. :19-22 Jul, 2016

Relation: 2016 23rd International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD)

PAIRS: A scalable geo-spatial data analytics platform

Authors: Klein, Levente J, Marianno, Fernando J, Albrecht, Conrad M, Freitag, Marcus, Lu, Siyuan, Hinds, Nigel, Shao, Xiaoyan, Bermudez Rodriguez, Sergio, Hamann, Hendrik F

Source: 2015 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2015 IEEE International Conference on. :1290-1298 Oct, 2015

Relation: 2015 IEEE International Conference on Big Data (Big Data)

A testing platform for on-drone computation

Authors: Zhou, Wang, Nair, Dhruv, Gunawan, Oki, van Kessel, Theodore, Hamann, Hendrik F.

Source: 2015 33rd IEEE International Conference on Computer Design (ICCD) Computer Design (ICCD), 2015 33rd IEEE International Conference on. :732-735 Oct, 2015

Relation: 2015 33rd IEEE International Conference on Computer Design (ICCD)