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An innovative deep anomaly detection of building energy consumption using energy time-series images
(
Elsevier
, 2023 , Article)
Deep anomaly detection (DAD) is essential in optimizing building energy management. Nonetheless, most existing works concerning this field consider unsupervised learning and involve the analysis of sensor readings through ...
Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement
(
Springer Nature
, 2021 , Article)
3D point cloud denoising is an increasingly demanding field as such type of data structure is getting more attention in perceiving the 3D environment for diverse applications. Despite their novelty, recently proposed ...