A5056611557- IoT and Edge/Fog Computing
- Advanced MIMO Systems Optimization
- Smart Grid Energy Management
- IoT-based Smart Home Systems
- Electric Vehicles and Infrastructure
- Energy Efficient Wireless Sensor Networks
- Context-Aware Activity Recognition Systems
- Indoor and Outdoor Localization Technologies
- Blockchain Technology Applications and Security
- Wireless Body Area Networks
- Advanced Wireless Communication Technologies
- IoT Networks and Protocols
- Energy Harvesting in Wireless Networks
- Alzheimer's disease research and treatments
- Sleep and Work-Related Fatigue
- Software-Defined Networks and 5G
- Non-Invasive Vital Sign Monitoring
- Cloud Computing and Resource Management
- EEG and Brain-Computer Interfaces
- Caching and Content Delivery
- Privacy-Preserving Technologies in Data
- Age of Information Optimization
- Electric and Hybrid Vehicle Technologies
- Parkinson's Disease Mechanisms and Treatments
- Advanced Battery Technologies Research
China Jiliang University
2025
Changchun University of Science and Technology
2025
University of Aveiro
2020-2024
Instituto de Telecomunicações
2020-2024
Shanghai Maritime University
2024
Shaanxi Normal University
2023-2024
State Grid Corporation of China (China)
2021-2024
Liaocheng University
2024
Southwest Medical University
2024
Shanghai University of Finance and Economics
2024
Network automation has been bred by the deployment of 5G based Industrial Internet-of-Things (IIoT) in Industry 4.0, and further approaching pervasive AI human-robot-interaction/-collaboration toward 6G 5.0. Hitherto, to best authors knowledge, research efforts are still required provide a comprehensive review state-of-the-art network technologies for IIoT 4.0 summary challenges next-generation regarding stricter requirements Therefore, this article, we conduct overview technologies,...
The development in the Internet-of-Things (IoT) has advanced healthcare. direction of healthcare been transformed from treatment to health management. Thus, more data are being generated and aggregated than ever before while moves toward patient-oriented analytic application. This paper discusses different aspects smart along with
Many traffic injuries and deaths are caused by the drowsiness of drivers during driving. Existing detection schemes not accurate due to various reasons. To resolve this problem, an driver classifier (DDC) has been developed using electrocardiogram genetic algorithm-based support vector machine (ECG GA-SVM). In existing studies, a cross correlation kernel convolution have both applied for performing classification. The DDC is designed Mercer KDDC formed commuting K <sub...
Nowadays, our society has been experiencing the development of Healthcare 4.0, focusing on digitalization by utilizing cloud/fog computing-based consumer Internet-of-Things (CIoT). Meanwhile, Industry 5.0 defined recently, targeting improving current 4.0. Inspired 5.0, we are among first wave researchers to propose specifically in perspective fog/cloud computing. Concretely, perform a comprehensive vertical and horizontal summary 1.0 – 4.0 which enables us be research efforts provide unique...
Lung cancer has been the leading cause of death for many decades. With advent artificial intelligence, various machine learning models have proposed lung detection (LCD). Typically, challenges in building an accurate LCD model are small-scale datasets, poor generalizability to detect unseen data, and selection useful source domains prioritization multiple transfer learning. In this paper, a multiround modified generative adversarial network (MTL-MGAN) algorithm is LCD. The MTL transfers...
A multi-interface ZigBee building area network (MIZBAN) for a high-traffic advanced metering infrastructure (AMI) high-rise buildings was developed. This supports meter management functions such as Demand Response smart grid applications. To cater the communication in these networks (BANs), framework defined and designed to coordinate operation between multiple interfaces based on newly tree-based mesh (T-Mesh) topology, which both tree routing single network. evaluate MIZBAN, an experiment...
Disrupted myelin and impaired repair have been observed in the brains of patients various mouse models Alzheimer's disease (AD). Clemastine, an H1-antihistamine, shows capability to induce oligodendrocyte precursor cell (OPC) differentiation formation under different neuropathological conditions featuring demyelination via antagonism M1 muscarinic receptor. In this study, we investigated if aged APPSwe/PS1dE9 mice, a model AD, can benefit from chronic clemastine treatment. We found treatment...
Prostate cancer is the 4th most common type of cancer. To reduce workload medical personnel in diagnosis prostate and increase diagnostic accuracy noisy images, a deep learning model desired for detection.
PURPOSE Robotic-assisted proctectomy (RAP) has emerged as the predominant surgical approach for patients with rectal cancer in recent years; although good postoperative patient recovery accurate prediction is a guarantee of adaptive surveillance management, there still lack easy-to-use prognostic tools and risk scores designed specifically those undergoing RAP. METHODS This study used electronic health records 506 RAP participants, including National Specialist Center da Vinci Robotic...
Abstract Bound states in the continuum (BICs) offer a promising solution to achieving high-quality factor ( Q factor) cavities. However, finite-size effects severely deteriorate BIC mode practical applications. This paper reports experimental demonstration of an electrically pumped 940 nm laser based on optimized cavity, high up $$1.18 \times 10^4$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>1.18</mml:mn> <mml:mo>×</mml:mo> <mml:msup> <mml:mn>10</mml:mn>...
A Dual Radio ZigBee Homecare Gateway (DRZHG) has been proposed and implemented to support remote patient monitoring. The novelty of DR-ZHG is two-fold. Firstly, it increases the transmission data rate ZigBee. design furnishes low latency highly accurate telehealth service at home. Secondly, zero-configuration offers most user friendly elderly people long-terms patients. Analysis reveals that, for streaming devices, network depth should be confined three (3) in a tree network. As polling...
An interference-mitigated ZigBee-based advanced metering infrastructure (AMI) solution, namely IMM2ZM, has been developed for high-traffics smart (SM). The IMM2ZM incorporates multiradios multichannels network architecture and features an interference mitigation design by using multiobjective optimization. To evaluate the performance of due to interference, channel-swapping time (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">cs</sub> )...
Ant colony optimization (ACO) with the small window strategy is put forward to solve routing and wavelength assignment problem in satellite optical networks. The intersatellite distance, link duration, idle ratio are introduced as heuristic functions, used promote convergence speed. By calculating intersection of wavelengths on adjacent links, algorithm can accomplish selection a single ant. results show that, compared Dijkstra+FF algorithm, blocking probability ACO decrease by 50% at most,...
This paper considers the problem of distributed online economic dispatch (DOED) from sequential data using reinforcement learning. Learning operation behavior in high-dimension environments with constraints is a major challenge for DOED networked microgrids (MGs), where insufficient exploration disables agents to build complex policies. Therefore, this develops hierarchical learning (HRL) handle problem, radial basis function (RBF) approximation incorporated make policies continuous space....
Open datasets serve as facilitators for researchers to conduct research with ground truth data. Generally, contain innovation and knowledge in the domains that could be transferred between homogeneous have become feasible using machine learning models advent of transfer algorithms. Research initiatives are drawn heterogeneous if these extract useful across different domains. A breakthrough can achieved without restriction requiring similarities datasets. multiple incremental is proposed...
The received signal strength (RSS) finger-print-based approaches are widely used for indoor location-based services (LBSs). emerging long range wide area network (LoRaWAN) is a cost-effective solution latency-tolerant LBSs attributed to its long-range property. In general, there serious RSS fluctuations due fadings along the communication path, thus significantly jeopardizing localization accuracy. To overcome challenge, in this article we propose extreme (ERSS) stabilize fingerprint...