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Computational fluid dynamics (CFD) provides high-fidelity simulations of fluid flows but remains computationally expensive for many-query applications. In recent years deep learning (DL) has been used to construct data-driven fluid-dynamic…

Machine Learning · Computer Science 2026-04-13 David Ramos , Lucas Lacasa , Fermín Gutiérrez , Eusebio Valero , Gonzalo Rubio

Interior design often struggles to capture the subtleties of client experience, leaving gaps between what clients feel and what designers can act upon. We present AIDED, a designer-AI co-design workflow that integrates multimodal client…

Human-Computer Interaction · Computer Science 2026-02-11 Yang Chen Lin , Chen-Ying Chen , Kai-Hsin Hou , Hung-Yu Chen , Po-Chih Kuo

Robust and accurate perception of humans in their 3D scene context is essential for integrating robots into everyday environments. Existing approaches, however, often fail to predict plausible and accurate human motion estimates that are…

Robotics · Computer Science 2026-05-26 Simon Schaefer , Joshua Näf , Stefan Leutenegger

With the development of artificial intelligence (AI) techniques, implementing AI-based techniques to improve wireless transceivers becomes an emerging research topic. Within this context, AI-based channel characterization and estimation…

Signal Processing · Electrical Eng. & Systems 2025-10-29 Yuzhi Yang , Sen Yan , Weijie Zhou , Brahim Mefgouda , Ridong Li , Zhaoyang Zhang , Mérouane Debbah

Human identification plays an important role in human-computer interaction. There have been numerous methods proposed for human identification (e.g., face recognition, gait recognition, fingerprint identification, etc.). While these methods…

Human-Computer Interaction · Computer Science 2016-08-12 Tong Xin , Bin Guo , Zhu Wang , Mingyang Li , Zhiwen Yu

Fluid antenna systems (FAS) offer enhanced spatial diversity for next-generation wireless systems. However, acquiring accurate channel state information (CSI) remains challenging due to the large number of reconfigurable ports and the…

Information Theory · Computer Science 2025-05-09 Erqiang Tang , Wei Guo , Hengtao He , Shenghui Song , Jun Zhang , Khaled B. Letaief

Generative AI offers new opportunities for automating urban planning by creating site-specific urban layouts and enabling flexible design exploration. However, existing approaches often struggle to produce realistic and practical designs at…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Qingyi Wang , Yuebing Liang , Yunhan Zheng , Kaiyuan Xu , Jinhua Zhao , Shenhao Wang

Infrastructure monitoring is critical for safe operations and sustainability. Water distribution networks (WDNs) are large-scale networked critical systems with complex cascade dynamics which are difficult to predict. Ubiquitous monitoring…

Machine Learning · Computer Science 2020-02-14 Alessio Pagani , Zhuangkun Wei , Ricardo Silva , Weisi Guo

This paper presents a novel hybrid deep learning framework designed to enhance the robustness of CSI-based Human Activity Recognition (HAR) within bandwidth-constrained Wi-Fi sensing environments. The core of our proposed methodology is a…

Signal Processing · Electrical Eng. & Systems 2026-02-10 Alison M. Fernandes , Hermes I. Del Monego , Bruno S. Chang , Anelise Munaretto , Hélder M. Fontes , Rui Campos

In the wake of a fabricated explosion image at the Pentagon, an ability to discern real images from fake counterparts has never been more critical. Our study introduces a novel multi-modal approach to detect AI-generated images amidst the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Inzamamul Alam , Muhammad Shahid Muneer , Simon S. Woo

The advancement of next-generation Wi-Fi technology heavily relies on sensing capabilities, which play a pivotal role in enabling sophisticated applications. In response to the growing demand for large-scale deployments, contemporary Wi-Fi…

Signal Processing · Electrical Eng. & Systems 2025-12-29 Yuxuan Liu , Chiya Zhang , Yifeng Yuan , Chunlong He , Weizheng Zhang , Gaojie Chen

Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating rapid advancement and unparalleled proficiency in generating diverse content. Beyond content creation, GAI has significant analytical abilities…

Cryptography and Security · Computer Science 2024-02-22 Changyuan Zhao , Hongyang Du , Dusit Niyato , Jiawen Kang , Zehui Xiong , Dong In Kim , Xuemin , Shen , Khaled B. Letaief

The thriving of artificial intelligence (AI) applications is driving the further evolution of wireless networks. It has been envisioned that 6G will be transformative and will revolutionize the evolution of wireless from "connected things"…

Information Theory · Computer Science 2024-10-28 Khaled B. Letaief , Yuanming Shi , Jianmin Lu , Jianhua Lu

The Internet of things (IoT) can significantly enhance the quality of human life, specifically in healthcare, attracting extensive attentions to IoT-healthcare services. Meanwhile, the human digital twin (HDT) is proposed as an innovative…

Human-Computer Interaction · Computer Science 2024-07-01 Jiayuan Chen , You Shi , Changyan Yi , Hongyang Du , Jiawen Kang , Dusit Niyato

Deep generative models have unlocked another profound realm of human creativity. By capturing and generalizing patterns within data, we have entered the epoch of all-encompassing Artificial Intelligence for General Creativity (AIGC).…

Artificial Intelligence · Computer Science 2023-12-27 Hanqun Cao , Cheng Tan , Zhangyang Gao , Yilun Xu , Guangyong Chen , Pheng-Ann Heng , Stan Z. Li

In qualitative research, data transcription is often labor-intensive and time-consuming. To expedite this process, a workflow utilizing artificial intelligence (AI) was developed. This workflow not only enhances transcription speed but also…

Computation and Language · Computer Science 2025-04-22 Jakob Sponholz , Andreas Weilinghoff , Juliane Schopf

Generative Artificial Intelligence (GAI) shows remarkable productivity and creativity in Mobile Edge Networks, such as the metaverse and the Industrial Internet of Things. Federated learning is a promising technique for effectively training…

Machine Learning · Computer Science 2024-03-08 Bingkun Lai , Jiayi He , Jiawen Kang , Gaolei Li , Minrui Xu , Tao zhang , Shengli Xie

With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content generation technique for offering superior digital services.…

Networking and Internet Architecture · Computer Science 2023-09-06 Jiacheng Wang , Hongyang Du , Dusit Niyato , Jiawen Kang , Zehui Xiong , Deepu Rajan , Shiwen Mao , Xuemin , Shen

The advent of the wireless communications systems augurs new cutting-edge technologies, including self-driving vehicles, unmanned aerial systems, autonomous robots, Internet-of-Things, and virtual reality. These technologies require high…

Signal Processing · Electrical Eng. & Systems 2020-09-11 Youness Arjoune , Saleh Faruque

Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional machine-learning and pattern-based AI systems, and little is…