IEEE

1800.2-2020 - IEEE Standard for Universal Verification Methodology Language Reference Manual

Abstract: The Universal Verification Methodology (UVM) that can improve interoperability, reduce the cost of using intellectual property (IP) for new projects or electronic design automation (EDA) ...
IEEE

Multimodal Image Fusion Framework for End-to-End Remote Sensing Image Registration

Abstract: We formulate the registration as a function that maps the input reference and sensed images to eight displacement parameters between prescribed matching points, as opposed to the usual ...
IEEE

Data- and Physics-Driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies

Abstract: Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended scanning times often compromise patient comfort and image quality, especially in volumetric, temporal ...
IEEE

Transient Stability Assessment and Enhancement of Grid-Forming Converters Embedding Current Reference Saturation as Current Limiting Strategy

Abstract: This paper deals with the transient stability of a grid-forming converter while embedding a current reference saturation strategy. The novelty of this work consists in investigating the ...
IEEE

Mixer-Duplexer-Antenna Leaky-Wave System Based on Periodic Space-Time Modulation

Abstract: We present a mixer-duplexer-antenna leaky-wave system based on periodic space-time modulation. This system operates as a full transceiver, where the upconversion and downconversion mixing ...
IEEE

Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities

Abstract: In this paper, robust adaptive neural network (NN) control is investigated for a general class of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with unknown control ...
IEEE

DRFormer: Learning Disentangled Representation for Pan-Sharpening via Mutual Information- Based Transformer

Abstract: In this article, we propose a new pan-sharpening method that disentangles low spatial resolution multispectral (LRMS) and panchromatic (PAN) images in terms of sensor-specific features and ...
IEEE

Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification

Abstract: For hyperspectral image (HSI) classification, two branch networks generally use convolutional neural networks (CNNs) to extract the spatial features and long short-term memory (LSTM) to ...
IEEE

Learning and Transferring Deep Joint Spectral–Spatial Features for Hyperspectral Classification

Abstract: Feature extraction is of significance for hyperspectral image (HSI) classification. Compared with conventional hand-crafted feature extraction, deep learning can automatically learn features ...
IEEE

International Conference on Computer Vision (ICCV)

2023 IEEE/CVF International Conference on Computer Vision (ICCV) Location: Paris, France 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Location: Montreal, QC, Canada 2019 IEEE/CVF ...
IEEE

Towards Evaluating the Robustness of Neural Networks

Abstract: Neural networks provide state-of-the-art results for most machine learning tasks. Unfortunately, neural networks are vulnerable to adversarial examples: given an input x and any target ...
IEEE

Modeling, Analysis and Testing of Autonomous Operation of an Inverter-Based Microgrid

Abstract: The analysis of the small-signal stability of conventional power systems is well established, but for inverter based microgrids there is a need to establish how circuit and control features ...