Explanipedia

Low-Complexity I/Q Imbalance and Nonlinearity Mitigation at Wideband Wireless Receivers Open

Xiaojing Huang, Hao Zhang, Anh Tuyen Le, J. Andrew Zhang, Jay Guo · 2025

Efficient River Water Level Sensing Using Cellular CSI and Joint Space-Time Processing Open

Khawaja Fahad Masood, Zhongqin Wang, J. Andrew Zhang, Y. Jay Guo · 2025

Accurate and timely water level monitoring is critical for flood prevention, environmental management, and emerging smart infrastructure systems. Traditional water sensing methods often rely on dedicated sensors, which can be costly to dep…

Quantile Function-Based Models for Neuroimaging Classification Using Wasserstein Regression Open

Jiakui Li, Gary Green, J. Andrew Zhang · 2025

We propose a novel quantile function-based approach for neuroimaging classification using Wasserstein-Fréchet regression, specifically applied to the detection of mild traumatic brain injury (mTBI) based on the MEG and MRI data. Convention…

Towards SISO Bistatic Sensing for ISAC Open

Zhongqin Wang, J. Andrew Zhang, Kai Wu, Min Xu, Y. Jay Guo · 2025

Integrated Sensing and Communication (ISAC) is a key enabler for next-generation wireless systems. However, real-world deployment is often limited to low-cost, single-antenna transceivers. In such bistatic Single-Input Single-Output (SISO)…

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning Open

Pengfei Hao, Sufang Li, Hongqiu Wang, Zhizhuo Kou, J. Andrew Zhang , et al. · 2025

In recent years, significant progress has been made in the field of surgical scene understanding, particularly in the task of Visual Question Localized-Answering in robotic surgery (Surgical-VQLA). However, existing Surgical-VQLA models la…

Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems Open

Hong Wei Yang, Hao Liu, Xin Yuan, Kai Wu, Wei Ni , et al. · 2025

Bringing together the Internet of Things (IoT), LLMs, and Federated Learning (FL) offers exciting possibilities, creating a synergy to build smarter, privacy-preserving distributed systems. This review explores the merging of these technol…

Water Level Sensing via Communication Signals in a Bi-Static System Open

Zhongqin Wang, J. Andrew Zhang, Kai Wu, Y. Jay Guo · 2025

Accurate water level sensing is essential for flood monitoring, agricultural irrigation, and water resource optimization. Traditional methods require dedicated sensor deployments, leading to high installation costs, vulnerability to interf…

Subspace-Based Super-Resolution Sensing for Bi-Static ISAC with Clock Asynchronism Open

Jingbo Zhao, Zhaoming Lu, J. Andrew Zhang, Jiaxi Zhou, Weicai Li , et al. · 2025

Bi-static sensing is an attractive configuration for integrated sensing and communications (ISAC) systems; however, clock asynchronism between widely separated transmitters and receivers introduces time-varying time offsets (TO) and phase …

Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems Open

Hongming Yang, Hao Liu, Xin Yuan, Kai Wu, Wei Ni , et al. · 2025

Bringing together the Internet of Things (IoT), LLMs , and Federated Learning (FL) offers exciting possibilities, creating a synergy to build smarter, privacy-preserving distributed systems. This review explores the merging of these techno…

Enhanced Simultaneous Localization and Mapping Algorithm Based on Deep Learning for Highly Dynamic Environment Open

Yin Lu, Haibo Wang, Jin Sun, J. Andrew Zhang · 2025

Visual simultaneous localization and mapping (SLAM) is a critical technology for autonomous navigation in dynamic environments. However, traditional SLAM algorithms often struggle to maintain accuracy in highly dynamic environments, where …

Integrated Sensing and Communications Over the Years: An Evolution Perspective Open

Di Zhang, Yuanhao Cui, Xiaowen Cao, Nanchi Su, Yi Gong , et al. · 2025

Integrated Sensing and Communications (ISAC) enables efficient spectrum utilization and reduces hardware costs for beyond 5G (B5G) and 6G networks, facilitating intelligent applications that require both high-performance communication and …

Deep Learning-based OTFS Channel Estimation and Symbol Detection with Plug-and-Play Framework Open

Xiaoqi Zhang, Zhitong Ni, Weijie Yuan, J. Andrew Zhang, Tony Q. S. Quek · 2025

Orthogonal Time Frequency Space (OTFS) modulation has recently attracted significant interest due to its potential for enabling reliable communication in high-mobility environments. However, the effectiveness of OTFS receivers relies on th…

High-Resolution Uplink Sensing in Millimeter-Wave ISAC Systems Open

Liangbin Zhao, Zhitong Ni, Yimeng Feng, Jianguo Li, Xiangyuan Bu , et al. · 2025

Perceptive mobile networks (PMNs), integrating ubiquitous sensing capabilities into mobile networks, represent an important application of integrated sensing and communication (ISAC) in 6G. In this paper, we propose a practical framework f…

Bayesian Inference General Procedures for A Single-subject Test study Open

Jie Li, Gary Green, Sarah J. A. Carr, Peng Liu, J. Andrew Zhang · 2025

Abnormality detection in identifying a single-subject which deviates from the majority of a control group dataset is a fundamental problem. Typically, the control group is characterised using standard Normal statistics, and the detection o…

Cooperative Path Planning for Multiple UAVs Based on APF B-RRT* Algorithm Open

Cai-Yu Wu, Zhengyu Guo, J. Andrew Zhang, Kangle Mao, Delin Luo · 2025

Aiming at the path planning problem of an unmanned aerial vehicle (UAV) in a complex unknown environment, this paper proposes a cooperative path planning algorithm for multiple UAVs. Using the local environment information, several rolling…

Accelerating Data Processing and Benchmarking of AI Models for Pathology Open

J. Andrew Zhang, Guillaume Jaume, Anurag Vaidya, Tong Ding, Faisal Mahmood · 2025

Advances in foundation modeling have reshaped computational pathology. However, the increasing number of available models and lack of standardized benchmarks make it increasingly complex to assess their strengths, limitations, and potentia…

Detecting Mild Traumatic Brain Injury with MEG Scan Data: One-vs-K-Sample Tests Open

J. Andrew Zhang, Gary Green · 2025

Magnetoencephalography (MEG) scanner has been shown to be more accurate than other medical devices in detecting mild traumatic brain injury (mTBI). However, MEG scan data in certain spectrum ranges can be skewed, multimodal and heterogeneo…

Evaluating generative AI models for explainable pathological feature extraction in lung adenocarcinoma: grading assessment and prognostic model construction Open

Junyi Shen, Anqi Lin, Ting Wei, J. Andrew Zhang, Peng Luo · 2025

Background: With the widespread application of generative AI (GenAI) models, it is crucial to systematically evaluate their performance in lung adenocarcinoma histopathological assessment. This study aimed to evaluate and compare the perfo…

Joint Analog and Digital Interference Cancellation for In-band Full-duplex ISAC Systems Open

Anh Tuyen Le, Xiaojing Huang, J. Andrew Zhang, Le Chung Tran, Y. Jay Guo , et al. · 2025

Smartphone-Based Experimental Analysis of Rainfall Effects on LTE Signal Indicators Open

Yiyi Xu, Kai Wu, J. Andrew Zhang, Zhongqin Wang, Beeshanga Abewardana Jayawickrama , et al. · 2025

This work investigates the impact of rainfall on cellular communication links, leveraging smartphone-collected measurements. While existing studies primarily focus on line-of-sight (LoS) microwave propagation environments, this work explor…

Development of a Miniature Piezoelectric Robot Combining Large-Load and High-Speed Open

Pengfei Du, Keqin Feng, Huanhuan Xing, Xiaoxiao Huo, Hao Li , et al. · 2025

Development of a Miniature Piezoelectric Robot Combining Large-Load and High-Speed Open

Pengfei Du, Keqin Feng, Huanhuan Xing, Xiaoxiao Huo, Hao Li , et al. · 2025

Do Households React to Monetary Policy? Open

You Li, Weiqiang Tan, Daifei Yao, J. Andrew Zhang · 2025

DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models Open

Yifeng Shen, J. Andrew Zhang, Jieyun Huang, Shuming Shi, Wenjing Zhang , et al. · 2025

Human Capital and Firm Leverage: Evidence from Gig Economy in China Open

Dongmin Kong, Ziqi Wu, Yi Xiao, J. Andrew Zhang · 2025

A Compact Piezoelectric Robot Combining High-Resolution and High-Speed Open

Pengfei Du, Keqin Feng, Shan Sun, Huanhuan Xing, J. Andrew Zhang , et al. · 2025

Bayesian Inference General Procedures for a Single-Subject Test Study Open

Jie Li, Gary Green, Sarah J. A. Carr, Peng Liu, J. Andrew Zhang · 2025

Fixed-Time Command-Filtered Control for Nonlinear Systems with Mismatched Disturbances Open

Zhiqiang Wu, J. Andrew Zhang, Lei Xing, Liyang Sun · 2024

This article concerns the issue of adaptive fuzzy command-filtered fixed-time control in the context of a category of nonlinear systems characterized by mismatched disturbances and unknown nonlinear functions. The backstepping-based distur…

Gadolinium-based coronary CT angiography on a clinical photon-counting-detector system: a dynamic circulating phantom study Open

Dmitrij Kravchenko, Chiara Gnasso, U. Joseph Schoepf, Milán Vecsey-Nagy, Giuseppe Tremamunno , et al. · 2024

Background Coronary computed tomography angiography (CCTA) offers non-invasive diagnostics of the coronary arteries. Vessel evaluation requires the administration of intravenous contrast. The purpose of this study was to evaluate the utili…

Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications Open

Xiao-Yang Wang, Shaoshi Yang, Hou-Yu Zhai, Christos Masouros, J. Andrew Zhang · 2024

Asynchronous radio transceivers often lead to significant range and velocity ambiguity, posing challenges for precise positioning and velocity estimation in passive-sensing perceptive mobile networks (PMNs). To address this issue, carrier …

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