A5101499426- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
- 3D Surveying and Cultural Heritage
- Advanced Sensor and Energy Harvesting Materials
- Conducting polymers and applications
- Remote-Sensing Image Classification
- Bipolar Disorder and Treatment
- Medical Research and Treatments
- Pulsars and Gravitational Waves Research
- Land Use and Ecosystem Services
- E-commerce and Technology Innovations
- Supercapacitor Materials and Fabrication
- Remote Sensing in Agriculture
- Tryptophan and brain disorders
- Silk-based biomaterials and applications
- IoT and Edge/Fog Computing
- Advanced Data and IoT Technologies
- Noise Effects and Management
- Vehicle Noise and Vibration Control
- Image and Object Detection Techniques
- Seismic Imaging and Inversion Techniques
- Dielectric materials and actuators
- Atmospheric aerosols and clouds
- Smart Cities and Technologies
- Attention Deficit Hyperactivity Disorder
Kunming University
2024-2025
Chaohu University
2023-2024
Jiangsu Normal University
2024
Kunming University of Science and Technology
2023-2024
Shijiazhuang University
2023
China Southern Power Grid (China)
2022
Beijing Normal University
2022
Tianjin University
2021
In this work, a textile-based triboelectric nanogenerator (TENG) device was developed through electroless plating technology to prepare electrode material. Hydrophilic groups on the fiber surface are able absorb Ag+, which could play role in center of catalyst reduce Cu2+ fabricate Cu-coated cotton toward fabrication TENG The established admirable performance and good stabilization, maximum voltage at 9.6 V detected when stress strain polydimethylsiloxane layer 82.6 kPa 5.8%, respectively....
A triboelectric nanogenerator (TENG) collects thriftless mechanical energy from the surrounding environment and transforms it into electrical energy. This work demonstrated a feasible method for metallizing polylactic acid (PLA) surface, which was subsequently used as biomaterial-based TENG electrode material. We that microcellular holes hydrophilic groups (−C-OH −COOH) were introduced on an alkali-treated PLA sheet to absorb Pd2+ by means of covalent bonds, could serve catalytic centers...
Objective: Although ADHD is highly heritable, some environmental factors contribute to its development. Given the growing evidence that gut microbiota was involved in psychiatric disorders, we aimed identify characteristic composition of ADHD. Methods: We recruited 47 medication-naive children and adolescents with ADHD, 60 healthy controls (HCs). used shotgun metagenomics measure structure analyzed difference bacterial taxa between HCs. Results: Significant differences were found HC groups...
The development of information technology has changed the mode communication social information, and this change put forward new requirements on contents, methods even objects science research. Knowledge service in process can extract knowledge content from various explicit implicit resources according to people’s needs, build networks, provide or solutions for users’ problems. Hence, it is very important investigate how analyze design advanced standard system based deep learning. To end, we...
Over an extended period, considerable research has focused on elaborated mapping in navigation systems. Multispectral point clouds containing both spatial and spectral information play a crucial role remote sensing by enabling more accurate land cover classification the creation of maps. However, existing graph-based methods often overlook individual characteristics patterns these graphs, leading to convoluted pattern aggregation failure fully exploit spatial–spectral classify multispectral...
Multispectral point cloud, with spatial and multiple-band spectral information, provides the data basis for finer land cover 3D classification. However, information is not well utilized by traditional methods of cloud Benefiting from excellent performance graph neural networks on non-Euclidean data, it suited to joint use multispectral clouds achieve better classification performance. existing graph-based rely manual experience construct input cannot adapt complexity remote sensing scenes....
The extensive use of traditional chemical pesticides can have an impact on human health. On the other hand, biopesticides advantages having fewer side effects body and being generally more beneficial to In order reduce pesticide thiabendazole, cinnamaldehyde, active plant extract, is compounded with thiabendazole form a new type low - toxicity biopesticide fungicide preservative, its fungicidal preservative are studied. A large number antibacterial experiments show that when ratio...
Flexible conductive fibers have garnered significant attention in the field of flexible electronics due to their knittability, breathability, and comfort. Inspired by helical structure tendrils climbing...
Multispectral point clouds provide the data basis for finer land cover classification due to simultaneous spatial and spectral information. How jointly utilize spatial-spectral information becomes a hot research direction. Benefiting from excellent performance of graph neural networks (GNNs) on non-Euclidean data, it is well suited modelling multispectral achieve higher accuracy. This paper proposes novel convolutional with multi-kernel learning (GCN-MKL) adaptively constructing cloud...
The search for pulsars is an important area of study in modern astronomy. amount collected pulsar data increasing exponentially as the performance radio telescopes improves, necessitating improvement original methods. Artificial intelligence techniques are currently being used candidate identification tasks. However, improving accuracy using artificial remains a challenge. Because so large, number real samples very limited, which leads to serious sample imbalance problem. Many existing...
Abstract In urban gas industry there are many middle pressure regulator boxes which locate in noise sensitive areas like Class 1 and 2 acoustic environment functional where exist strict emission limit requirement. Compared with high regulation stations these ones generate lower level but they still complained because of the boundary excessive caused by direct exposure outdoors lack control treatment enclosures, sound barriers walls’ baffle. Most existing research focused on parameters level,...
Graph Neural Networks (GNNs) based on simple graph can directly model 3D multispectral point clouds, thus avoiding the problem of spatial information loss when converting clouds to 2D feature images. However, considering dense distribution objects in remote sensing scenes, GNNs only consider association between pairs vertices, which is insufficient for exploring high-order correlations and long-term dependence correlations. Hypergraph neural network (HGNN) a more generalized framework that...
As a multidimensional form of remote sensing data, multispectral point clouds provide the data basis for more refined land cover classification. But challenge remains in modelling and representing rich spatial-spectral information. With better performance on non-Euclidean graph neural networks have been used clouds. However, most current studies use fixed structure, which means that feature aggregation pattern is limited. Thus, this paper proposes novel Multi-Kernel deep network with Initial...
In the enterprise, marketing can better make customers prefer this and in process, resources are very important, due to limited resources, so reasonable allocation is an indispensable part. Ordinary resource strategies do not meet expectations. analyze indicators divided according requirements reduce interfering factor. Then, artificial intelligence will form a plan for results of enterprises, carry out Comprehensive analysis. data mining algorithm has accurate effect on enterprise The...
Abstract Modular design of large offshore oil and gas module reduces the construction difficulty whole building, but increases cumulative error between modules. For large-scale steel structure buildings, inter-story column modules will affect overall building stability. It is a feasible method to use point cloud monitor errors in real time, so as trim columns time. The goal this paper put forward set analysis which suitable for pre-matching interlayer integral column. This includes...