A5114860638- Indoor and Outdoor Localization Technologies
- Analytical Chemistry and Chromatography
- Advanced Graph Neural Networks
- Spectroscopy and Chemometric Analyses
- Fluid Dynamics and Heat Transfer
- Oil Spill Detection and Mitigation
- Non-Invasive Vital Sign Monitoring
- Combustion and flame dynamics
- Metal-Organic Frameworks: Synthesis and Applications
- Analytical chemistry methods development
- Pesticide Residue Analysis and Safety
- Imbalanced Data Classification Techniques
- Building Energy and Comfort Optimization
- Face and Expression Recognition
- Frequency Control in Power Systems
- Advanced Technologies in Various Fields
- Online Learning and Analytics
- Photovoltaic System Optimization Techniques
- UAV Applications and Optimization
- Underwater Vehicles and Communication Systems
- Cloud Data Security Solutions
- Covalent Organic Framework Applications
- Machine Learning and Data Classification
- Safety and Risk Management
- Human Motion and Animation
Zhengzhou University
2024-2025
China Agricultural University
2025
Johns Hopkins University
2022-2024
State Grid Corporation of China (China)
2021-2024
Southwest Petroleum University
2022-2024
Sichuan Highway Design and Research Institute
2022-2024
University of Science and Technology of China
2022-2024
ShanghaiTech University
2023
Tsinghua University
2022-2023
Beijing University of Chemical Technology
2021-2023
Abstract Microneedles (MNs) have attracted widespread scientific and industrial interest in the past decade as an efficient, painless, low‐cost, relatively safe transdermal drug delivery device. However, their drawbacks such insufficient dose accuracy limited penetration depth may limit clinical applications. Here, a light‐controlled liquid band‐aid based on MNs is developed for antibacterial Metal–organic framework‐derived peroxidase‐like nanozyme loaded can not only convert light energy...
Fall is a severe health threat for elders' care. While existing systems could achieve promising performance under specific scenarios, the required computing resources are usually not affordable, which applicable real-time detection. In this paper, we propose mmFall, real time fall detection system using millimeter wave signal can impressive accuracy with low computation complexity. Specifically, first extract variation corresponding to human activity spatial-temporal processing. To enhance...
Building trusted datasets is critical for transparent and responsible Medical AI (MAI) research, but creating even small, high-quality can take years of effort from multidisciplinary teams. This process often delays benefits, as human-centric data creation AI-centric model development are treated separate, sequential steps. To overcome this, we propose ScaleMAI, an agent AI-integrated curation annotation, allowing quality performance to improve in a self-reinforcing cycle reducing time...
Studying the insect resistance mechanism to Bacillus thuringiensis (Bt) is beneficial address ever-growing problem of evolved resistance. Previous RNaseq data indicated that a eukaryotic translation initiation factor 2 (eIF2) expression showed significant differences in Cry1Ac-resistant Helicoverpa armigera strains. We investigated HaeIF2's role Cry1Ac Quantitative PCR (qPCR) confirmed HaeIF2 was significantly downregulated H. (BtR). Overexpression and RNAi midgut cells larvae affects...
In recent years, 5G technology has rapidly developed, which is widely used in medical, transportation, energy, and other fields. As the core equipment of network, base stations provide wireless coverage realize signal transmission between wired communication networks terminals. However, as scale gradually increases, problems such poor user experience insufficient area frequently occur. Hence, it necessary to evaluate comprehensive performance stations, so clarify existing construction...
(1) Background: Rapid and accurate determination of the content chemical dye Auramine O(AO) in traditional Chinese medicines (TCMs) is critical for controlling quality TCMs. (2) Methods: Firstly, various models were developed to detect AO Dendrobium officinale (D. officinale). Then, detection Saffron Curcuma using D. training set as a calibration model. Finally, samples added predict secondary wavelength screening. (3) Results: The results show that sparrow search algorithm...
The remarkable versatility of metal–organic frameworks (MOFs) stems from their rich chemical information, leading to numerous successful applications. However, identifying optimal MOFs for specific tasks necessitates a thorough assessment attributes. Conventional machine learning approaches MOF prediction have relied on intricate and structural details, hampering rapid evaluations. Drawing inspiration recent advancements exemplified by Snurr et al., wherein text string was used represent...
Abstract Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models used. This seen growing popularity of ShapeNet (51,300 models) Princeton ModelNet (127,915 models). However, a large collection anatomical shapes (e.g., bones, organs, vessels) 3D surgical instruments missing. Methods We present MedShapeNet translate...
Large-scale wind power and photovoltaic combined with thermal power, energy storage other equipment need to be send out, resulting in the increase cost of joint dispatching system obstruction new consumption. In order realize economic efficiency photovoltaic, storage, this paper designs operation framework wind, aiming at lowest comprehensive largest amount The establishes model selects DC transmission channel from Xinjiang Shandong for multi scenario analysis. By improving flexibility...
To delve into the intricate evaporation and dispersion mechanisms of dense droplets formed in vicinity liquefied natural gas (LNG) accidental releases, it is imperative to first examine dynamics individual moving LNG droplets. This paper presents a visual experimental setup designed scrutinize temporal evolution diameter displacement single free-falling Additionally, eight typical drag force models used for droplet motion state calculations were assessed. The optimal selected accurately...
Local Fisher discriminant analysis is a localized variant of and it popular for supervised dimensionality reduction method. lfda an R package performing local analysis, including its variants such as kernel semi-supervised analysis. It also provides visualization functions to easily visualize the dimension results by using either rgl 3D or ggfortify 2D in ggplot2 style.
Fisher discriminant analysis (Scholkopft & Mullert, 1999) is a popular choice to reduce the dimensionality of original dataset.It maximizes between-class scatter and minimizes within-class scatter.It works really well in practice but lacks some considerations for multimodality.Multimodality exists within many applications, such as disease diagnosis, where there may be multiple causes particular disease.In this situation, cannot capture multimodal characteristics clusters.To deal with...
This paper proposes a method for achieving high performance of N200 and P300 classification by applying independent component analysis to select the channels, which deliver brain signals with large potentials small artifacts. In this study, authors find out relationship between highest accuracy weights components use predict optimal channels each individual subject. They compare five channel selection methods: ICA-based curve-fitting-based proposed in paper, amplitude-based method,...
Education is something that every country values, and education data a very important resource for the country. With increase in proportion of country, size student body getting bigger bigger. Student performance directly related to core entire education. By analyzing student's information predicting future performance, this prediction does not only mean improvement grades, but also can summarize methods effectively help avoid above situation. In study, some various algorithms machine...
Most applications of vehicular networks, such as automatic drive, are based on accurate relative position and orientation information neighboring vehicles. Due to the geospatial restriction, ground cellular networks not always available thus non-terrestrial unmanned aerial vehicles (UAV) satellites can be used support localization In this paper, we propose an UAV-aided scheme for Each node makes time delay angle measurements with other nodes, receives GPS signals. The Fisher matrix (FIM) is...