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We evaluate our solution with extensive experiments using datasets from the UCR time series classification archive. The results demonstrate that the ABBA-VSM achieves up to 80% compression ratio and 90-100% accuracy for binary classification. Whereas, for non-binary classification, it achieves an ...
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U-Net, a deep-learning convolutional neural network, is used to downscale coarse meteorological data. Based on 19 models from the Coupled Model Intercomparison Project Phase 6 and the Multi-Source Weather (MSWX) dataset, bias correction and UNet downscal
since EF is nearly constant throughout the day in the absence of stress-induced stomatal closure. Gaps in the LST products will create gaps in the EF retrieval. To minimize gaps in the daytime global LST map used in EB, daytime LST from both Terra and Aqua were jointly used. There are ...
Outcome Our outcome of interest was the number of firearm incidents with at least 1 person injured or killed (henceforth referred to as shootings) by city, captured using Gun Violence Archive (GVA) data.19 We used incident-level counts because the number of specific individuals injured or killed...
The dynamic interaction between cliff, beach and shore-platform is key to assessing the sediment balance for coastal erosion risk assessments, but this is poorly understood. We present a dataset containing daily, 3D,colour LiDAR scans of a 450 m coast
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