IEEE5d
Convolutional neural networks for time series classification
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 ...
IEEE11d
An Introduction to Variational Autoencoders
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 ...
IEEE11d
Geographically Weighted Convolutional Long Short-Term Memory Neural Networks: A Geospatial Deep Learning Model for Monthly NDVI Prediction
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 ...
IEEE19d
Waves and Fields in Inhomogenous Media
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...
IEEE21d
Dedicated 3D Printed Radioactive Phantoms With
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 ...
IEEE23d
Underwater Robot Self-Localization Method Using Tightly Coupled Events, Images, Inertial, and Acoustic Fusion
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 ...
IEEE24d
The Decoupling Concept Bottleneck Model
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 ...
IEEE25d
OSSEs on the FY-4M Geostationary Microwave Satellite Based on CMA-GFS and CMA-MESO
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 ...
IEEE25d
Exact-Feedback-Linearization-Based Adaptive Second-Order Sliding Mode Control Design for DC–DC Boost Converters
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 ...
IEEE25d
Modelling the Demodulated Phase Precision of Standard Heterodyne-detection Phase-sensitive Optical Time-domain Reflectometry
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 ...
IEEE26d
Stability Constrained Transient Overcurrent Capability Enhancement of Grid Forming Converters based on Switching Frequency Adjustment
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 ...