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 ...
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 ...
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 ...
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 ...
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
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 ...
IEEE28d
Phishing Website Detection Using Deep Learning Models
Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...
IEEE28d
Scalable Model, Parameter Extraction of GaN Schottky Barrier Diode (SBD) and Its Application in C-Band Limiter Design
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=16 ...
IEEE28d
Understanding Wireless Charger Networks: Concepts, Current Research, and Future Directions
Abstract: Wireless Charger Network (WCN) emerges as a promising networking paradigm, employing wireless chargers with Wireless Power Transfer (WPT) technology to provide long-term and sustainable ...
IEEE28d
Harmonic Noise Rejection Zeroing Neural Network for Time-Dependent Equality-Constrained Quadratic Program and Its Application to Robot Arms
Abstract: The quadratic program (QP) with equality constraint is widely involved in science and engineering fields. Numerous solutions to the equality-constrained QP (ECQP) have been reported, ...