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IEEE11d
AI and Memory Wall | IEEE Journals & Magazine | IEEE Xplore
The availability of unprecedented unsupervised training data, along with neural scaling laws, has resulted in an unprecedented surge in model size and compute requirements for serving/training large ...
IEEE8d
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 ...
IEEE6d
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 ...
IEEE29d
Joint Beam Hopping and Precoding for Dense LEO Satellite Communication Systems | IEEE Journals & Magazine | IEEE Xplore
Beam hopping (BH) is a widely adopted technique in multi-beam satellite communication systems, and it can effectively improve the system capacity. However, conventional BH with full frequency reuse ...
IEEE29d
Hybrid Physics-Data-Driven Neural Network for Accurate Modeling of Scattering Problems | IEEE Journals & Magazine | IEEE Xplore
Data-driven deep learning techniques have made notable advancements in modeling electromagnetic scattering problems. However, its accuracy on the testing dataset can be heavily reduced when data ...
IEEE22d
Multiview Deep Subspace Clustering Networks - IEEE Xplore
Multiview subspace clustering aims to discover the inherent structure of data by fusing multiple views of complementary information. Most existing methods first extract multiple types of handcrafted ...
IEEE29d
21.7-tesla large-scale high-temperature superconducting toroidal magnet for tokamak fusion application | IEEE Journals & Magazine | IEEE Xplore
With the rapid advancement of magnetic confinement fusion technology, High- Temperature Superconductors (HTS) have emerged as a cornerstone for compact and efficient tokamak systems due to their ...
IEEE29d
Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection | IEEE Journals & Magazine | IEEE Xplore
Semi-supervised change detection (SSCD) has become increasingly important in remote sensing image (RSI) analysis due to the scarcity of labeled data. While state-of-the-art SSCD methods have achieved ...
IEEE24d
A Review of YOLO Algorithm and Its Applications in Autonomous Driving Object Detection | IEEE Journals & Magazine | IEEE Xplore
Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are crucial in ...
IEEE26d
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 ...
IEEE26d
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 ...
IEEE23d
Distributed Proximal Algorithms for Nonsmooth Optimization: Unified Convergence Analysis | IEEE Journals & Magazine | IEEE Xplore
This paper studies two classes of nonsmooth distributed optimization problems with coupled constraints, in which the local cost function of each agent consists of a Lipschitz differentable function ...