Abstract: Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging ...
Abstract: In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models ...
Abstract: Vegetation is a key component of biodiversity and ecosystem stability. The normalized difference vegetation index (NDVI) is widely used to monitor the vegetation growth status. Timely ...
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...
Abstract: This study explores the potential of digital light processing to 3D print radioactive phantoms for high-resolution positron emission tomography (PET). Using a slightly modified desktop 3D ...
Abstract: Ground robot autonomous exploration for uneven terrains is still challenging since the rugged terrain structures not only degrade the exploration performance but also threaten the navigation ...
Abstract: At present, underwater robot self-localization methods mainly rely on inertial measurement unit (IMU) and Doppler velocity log (DVL) based dead reckoning (DR) and standard camera-based ...
Abstract: The Concept Bottleneck Model (CBM) is an interpretable neural network that leverages high-level concepts to explain model decisions and conduct human-machine interaction. However, in ...
Abstract: Geostationary orbit (GEO) microwave sounding technology, which can continuously monitor Earth and intensively observe weather conditions such as strong convection, has unique advantages. An ...
Abstract: The voltage regulation system of a boost converter operating in continuous conduction mode is a typical nonminimum phase system, posing significant challenges for the corresponding ...
Abstract: An analytical model linking the demodulated phase precision and system parameters for standard heterodyne-detection phase-sensitive optical time-domain reflectometry ( $\Phi$-OTDR) is ...
Abstract: The short-term overcurrent capability is critical for grid forming (GFM) converters to provide support during grid fault transient. Although the transient overcurrent (TOC) capability ...
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