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IEEE1mon
Unraveling Generative AI Adoption in Enterprise Digital Platforms: The Effect of Institutional Pressures and the Moderating Role of Internal and External Environments | IEEE ...
Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and strategies ...
IEEE5mon
MulFS-CAP: Multimodal Fusion-Supervised Cross-Modality Alignment Perception for Unregistered Infrared-Visible Image Fusion | IEEE Journals & Magazine | IEEE Xplore
In this study, we propose Multimodal Fusion-supervised Cross-modality Alignment Perception (MulFS-CAP), a novel framework for single-stage fusion of unregistered infrared-visible images. Traditional ...
IEEE5mon
Global–Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images | IEEE Journals & Magazine | IEEE Xplore
In recent years, the rapid development of the unmanned aerial vehicle (UAV) technology has generated a large number of aerial photography images captured by UAV. Consequently, the object detection in ...
IEEE5mon
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate | IEEE Journals & Magazine | IEEE Xplore
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate ...
IEEE6mon
VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion | IEEE Journals & Magazine | IEEE Xplore
Image fusion facilitates the integration of information from various source images of the same scene into a composite image, thereby benefiting perception, analysis, and understanding. Recently, ...
IEEE8mon
Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds | IEEE Journals & Magazine | IEEE Xplore
Restoration tasks in low-level vision aim to restore high-quality (HQ) data from their low-quality (LQ) observations. To circumvents the difficulty of acquiring paired data in real scenarios, unpaired ...
IEEE8mon
Federated Large Language Model: Solutions, Challenges and Future Directions | IEEE Journals & Magazine | IEEE Xplore
Large language models (LLMs) have become increasingly popular due to their exceptional performance in various artificial intelligence applications. However, their development often suffers from the ...
IEEE10mon
IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures | IEEE Journals & Magazine | IEEE Xplore
Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual ...
IEEE10mon
A Tri-Band Dual-Concurrent Wi-Fi 802.11be Transceiver Achieving −46 dB TX/RX EVM Floor at 7.1 GHz for a 4 K-QAM 320 MHz Signal | IEEE Journals & Magazine | IEEE Xplore
A high-linearity, wideband transceiver for Wi-Fi 7 to support 4 K-QAM 320 MHz bandwidth (BW) is presented and fabricated using a 14 nm Fin-FET CMOS process. To provide a high-performance local ...
IEEE10mon
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 ...
IEEE10mon
What will Wi-Fi 8 Be? A Primer on IEEE 802.11bn Ultra High Reliability
What will Wi-Fi 8 be? Driven by the strict requirements of emerging applications, next-generation Wi-Fi is set to prioritize ultra high reliability (UHR) above all. In this article, we explore the ...
IEEE10mon
A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems | IEEE Journals & Magazine | IEEE Xplore
Predicting traffic is the main duty of an intelligent transportation system (ITS). Precise traffic forecasts can significantly enhance the use of public funds. However, the dynamic and complex nature ...