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Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data.

, , , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 90-105. Springer, (2023)

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Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography., , , , , , , , , and . ICMLA, page 659-666. IEEE, (2023)Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference., , and . CoRR, (2023)Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data., , , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 90-105. Springer, (2023)Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods, , , , , , , and . (2024)Face Recognition-Based Mass Attendance Using YOLOv5 and ArcFace., , and . MIET (1), volume 490 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 496-510. Springer, (2022)Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference., , , , , , and . ICMLA, page 689-696. IEEE, (2023)TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data., , , and . CoRR, (2024)Power hardware-in-the-loop testing of a 500 kW photovoltaic array inverter., , , , , , , , and . IECON, page 4797-4802. IEEE, (2012)Robustness optimization for vehicular crash simulations., , , , and . Comput. Sci. Eng., 2 (6): 8-13 (2000)Characteristics and Design of Power Hardware-in-the-Loop Simulations for Electrical Power Systems., , , , , and . IEEE Trans. Ind. Electron., 63 (1): 406-417 (2016)