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IEEE1d
Modeling and Implementation of a Zero Bias TLVR - IEEE Xplore
An alternative version of TLVR, named Zero Bias TLVR, has been proposed in recent years. This new topology employs magnetic flux cancellation in all windings, thus enabling a much lower saturation ...
IEEE2d
Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion - IEEE Xplore
Abstract: Image fusion integrates a series of images acquired from different sensors, e.g., infrared and visible, outputting an image with richer information than either one.Traditional and recent ...
IEEE3d
Large Language Model Enhanced Multi-Agent Systems for 6G Communications | IEEE Journals & Magazine | IEEE Xplore
The rapid development of the large language model (LLM) presents huge opportunities for 6G communications – for example, network optimization and management – by allowing users to input task ...
IEEE8d
Semiconductor Memory Technologies: State-of-the-Art and Future Trends - IEEE Xplore
This article surveys the recent development of semiconductor memory technologies spanning from the mainstream static random-access memory, dynamic random-access memory, and flash memory toward ...
IEEE8d
BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers - IEEE Xplore
Multi-modality fusion strategy is currently the de-facto most competitive solution for 3D perception tasks. In this work, we present a new framework termed BEVFormer, which learns unified BEV ...
IEEE9d
MFN: Multi-Scale Frequency Feature Fusion Network for Multi-Classification Image Segmentation | IEEE Journals & Magazine | IEEE Xplore
Semantic segmentation is a fundamental task in computer vision. In multi-class scenarios, the abundance of categories, feature similarity across classes, class imbalance, and the complexity of feature ...
IEEE10d
Screen-Shooting Robust Watermark Based on Style Transfer and Structural Re-Parameterization | IEEE Journals & Magazine | IEEE Xplore
In real-world applications, screen capturing represents a significant scenario where this process can induce substantial distortion to the original image. Previous methods for simulating ...
IEEE17d
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] - IEEE Xplore
In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in ...
IEEE27d
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems | IEEE Journals & Magazine | IEEE Xplore
Recently, wireless technologies have been growing actively all around the world. In the context of wireless technology, fifth-generation (5G) technology has become a most challenging and interesting ...
IEEE28d
On the Passive Virtual Viscous Element Injection Method for Elastic Joint Robots | IEEE Journals & Magazine | IEEE Xplore
Abstract: Increasing the viscosity of elastic joints can significantly improve the performance of elastic joint robots during physical human–robot interactions. However, current approaches for ...
IEEE28d
A Remote Sensing Image Change Detection Method Integrating Layer-Exchange and Channel-Spatial Differences | IEEE Journals & Magazine | IEEE Xplore
Change detection in remote sensing imagery is a crucial technique for Earth observation, primarily focusing on pixel-level segmentation of change regions between bitemporal images. The core of ...
IEEE28d
Rapid Optimization of Feed Location for High-Gain Umbrella-Type Antennas via Heuristic Electromechanical Coupling | IEEE Journals & Magazine | IEEE Xplore
This study presents a methodology for efficiently determining the optimal feed location of umbrella-type antennas (UTAs) to maximize antenna gain. By leveraging heuristic compensation principles (HCPs ...