A5075454320- Advanced Wireless Communication Technologies
- Indoor and Outdoor Localization Technologies
- Optical Wireless Communication Technologies
- Advanced MIMO Systems Optimization
- Millimeter-Wave Propagation and Modeling
- UAV Applications and Optimization
- Antenna Design and Analysis
- Satellite Communication Systems
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
- MXene and MAX Phase Materials
- Advanced Antenna and Metasurface Technologies
- Hydrology and Watershed Management Studies
- Electromagnetic wave absorption materials
- Underwater Vehicles and Communication Systems
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Sparse and Compressive Sensing Techniques
- Pesticide Residue Analysis and Safety
- Pharmaceutical Quality and Counterfeiting
- Digital Media Forensic Detection
- Aerospace, Electronics, Mathematical Modeling
- Adaptive optics and wavefront sensing
- Age of Information Optimization
Queen Mary University of London
2021-2025
Shaanxi University of Technology
2023-2024
National Institute of Metrology
2024
Tongji University
2024
Huazhong University of Science and Technology
2021-2022
University of Kentucky
2020-2021
Nanchang University
2020-2021
A novel integrated sensing and communication (ISAC) system is proposed, where a dual-functional base station utilized to transmit the superimposed non-orthogonal multiple access (NOMA) signal for serving users targets simultaneously. Furthermore, new reconfigurable intelligent surface (RIS)-aided-sensing structure, dedicated RIS deployed provide virtual line-of-sight (LoS) links radar targets, also proposed address significant path loss or blockage of LoS task. Based on this setup,...
In the Internet-of-Things scenarios, unmanned aerial vehicle (UAV), as a popular platform, is calling for ever-increasing computing support. This letter proposes novel mobile edge (MEC) framework UAV with assistance of reconfigurable intelligence surface (RIS), where offloads computation tasks to ground access points (APs) an RIS, during which non-orthogonal multiple (NOMA) scheme employed. We maximize UAV's capacity by jointly optimizing reflecting phase shift, communication and (2C)...
The upper Hanjiang river basin, which is a crucial water source for the middle route of South-to-North Water Diversion Project in China. This paper attempts to present new integrated model optimal resources allocation typical basin. In this model, complex adaptive system framework applied at macro level, and dynamics simulates inner response user agent micro level China's "3 Redlines" policy considered module. An proposed basin planning years 2025 2030, NSGA-II algorithm executed obtain...
A reconfigurable intelligent surface (RIS)-assisted downlink nonorthogonal multiple access (NOMA) Internet of Things (IoT) network is proposed, where a Quality-of-Service (QoS)-based NOMA clustering scheme conceived to effectively utilize the limited wireless resources among IoT devices. throughput maximization problem formulated by jointly optimizing phase shifts RIS and power allocation base station (BS) from short-term long-term perspectives. We aim investigate compare performance deep...
Low-volume sampling devices offer the promise of lower discomfort and greater convenience for patients, potentially reducing patient burden enabling decentralized clinical trials. In this study, we determined whether low-volume produce pharmacokinetic (PK) data comparable to conventional venipuncture a diverse set monoclonal antibodies (mAbs) small molecules. We adopted an open-label, non-randomized, parallel-group, single-site study design, with four cohorts 10 healthy subjects per arm. The...
A near-field wideband beamforming scheme is investigated for reconfigurable intelligent surface (RIS) assisted multiple-input multiple-output (MIMO) systems, in which a deep learning-based end-to-end (E2E) optimization framework proposed to maximize the system spectral efficiency.To deal with double beam split effect, base station equipped frequency-dependent hybrid precoding architecture by introducing sub-connected true time delay (TTD) units, while two specific RIS architectures, namely...
Several inflammatory cytokines that promote inflammation and pathogenesis in asthma signal through the Janus kinase 1 (JAK1) pathway. This phase I, randomized, placebo-controlled trial assessed pharmacokinetics safety of single multiple ascending doses up to 15 mg twice daily for 14 days a JAK1 inhibitor, GDC-0214, healthy volunteers (HVs; n = 66). Doses were administered with dry powder, capsule-based inhaler. An accompanying open-label gamma scintigraphy study HVs examined lung deposition...
Statistical tolerance intervals are commonly employed in biomedical and pharmaceutical research, such as lifetime analysis, the assessment of biosimilarity branded generic versions biopharmaceutical drugs, quality control drug products to ensure that a specified proportion covered within established acceptance limits. Exact two‐sided parametric only available for normal distribution, while exact one‐sided limits limited number distributions. Approximations often use Bonferroni correction on...
A near-field wideband multi-user communication system is studied. To eliminate the beam split caused by spatial effect, a hybrid beamforming architecture based on true-time delayers (TTDs) exploited. heuristic two-stage approach proposed for optimizing analog and digital beamformers of TTD-based to facilitate beamfocusing. In particular, in first stage, closed-form beamformer design piecewise-near-field approximation maximize array gain at users. Next, second are optimized exploiting...
Energy and latency are important metrics for performance evaluation in ultra-reliable low-latency communication-enabled wireless virtual reality networks. However, these two often conflict with each other. Therefore, order to strike a balance between energy efficiency latency, novel model is proposed the optimization of reconfigurable intelligent surface-assisted To investigate tradeoff meta-learning-based multi-objective soft actor-critic (MO-SAC) algorithm proposed. The assigns dynamic...
A novel simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) assisted collabo-rative multi-cell network is proposed. Cell-center cell-edge users are enhanced by the STAR-RIS's reflection transmission functions, respectively. We propose an online joint active passive beamforming framework to maximize this system's long-term energy efficiency (EE) under time-varying channels users' requirements. first invoke fractional programming (FP) optimize coordinated...
Abstract Zero-inflated and hurdle models are widely applied to count data possessing excess zeros, where they can simultaneously model the process from how zeros were generated potentially help mitigate effects of overdispersion relative assumed distribution. Which use depends on generated: zero-inflated add an additional probability mass zero, while two-part comprised a degenerate distribution for zero-truncated Developing confidence intervals such is challenging since no closed-form...
Grant-free non-orthogonal multiple access (NOMA) is considered as one of the supporting technology for massive connectivity future networks. In grant-free NOMA systems with a number users, user activity detection great importance. Existing multi-user (MUD) techniques rely on complicated update steps which may cause latency in signal detection. this paper, we propose generative neural network-based MUD (GenMUD) framework to utilize low-complexity networks, are trained reconstruct signals...
A novel reconfigurable intelligent surfaces (RISs)-based transmission framework is proposed for downlink non-orthogonal multiple access (NOMA) networks. We propose a quality-of-service (QoS)-based clustering scheme to improve the resource efficiency and formulate sum rate maximization problem by jointly optimizing phase shift of RIS power allocation at base station (BS). model-agnostic meta-learning (MAML)-based learning algorithm solve joint optimization with fast convergence low model...
As cities expand and transform, understanding harnessing value uplift within the change process is essential for guiding public efforts that yield vibrant economies inclusive communities. Current research, however, primarily focuses on economic uplift, often neglecting other urban dimensions, which may lead to biased socioeconomic outcomes. The gap highlights need a comprehensive approach, integrating both place dimension of improve policymaking. This study employs spatially explicit machine...