A5101976908- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Network Security and Intrusion Detection
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Data Management and Algorithms
- Topic Modeling
- Advanced Neural Network Applications
- Infrared Target Detection Methodologies
- Advanced Sensor and Energy Harvesting Materials
- Graph Theory and Algorithms
- Web Data Mining and Analysis
- Plant responses to elevated CO2
- Plant-Microbe Interactions and Immunity
- AI in cancer detection
- Information and Cyber Security
- Advanced Image and Video Retrieval Techniques
- Solar and Space Plasma Dynamics
- Conducting polymers and applications
- Sports Analytics and Performance
- Language, Metaphor, and Cognition
- Plant Stress Responses and Tolerance
- Opinion Dynamics and Social Influence
- Microplastics and Plastic Pollution
- Information Retrieval and Search Behavior
Northeast Institute of Geography and Agroecology
2021-2025
Chinese Academy of Sciences
2014-2025
Xinxiang Medical University
2024-2025
Materials Science & Engineering
2025
Qingdao University
2022-2025
University of Chinese Academy of Sciences
2017-2024
Wuhan University of Technology
2024
Nanyang Technological University
2021-2024
Sun Yat-sen University Cancer Center
2024
North China Electric Power University
2024
The combination of laser printing technology and an<italic>in situ</italic>electropolymerization approach enables the fabrication flexible, in-plane, all-solid-state micro-supercapacitors with low-cost.
The synthesis of very thin Ag nanowires in the presence Br− ions is typically accompanied by generation a huge amount nanoparticles. Herein, we report method to suppress homogeneous nucleation seeds growth process nanowires, hence dramatically enhancing purity synthesized nanowires. These having diameter approaching 20 nm and an aspect ratio larger than 1500, as well ultra-low particle impurity level 5.5% are directly used after simple water washing form transparent conductive films with...
MXene-based films have garnered significant attention for their remarkable electrical and mechanical properties. Nevertheless, the practical application of MXene is impeded by its intrinsic instability caused spontaneous oxidation. The traditional anti-oxidative strategies frequently lead to a compromise in stability, conductivity, In this study, novel approach proposed involving metal nano-armoring, wherein copper layer with nano thickness deposited onto film surfaces establish uniform...
Since remote sensing images are captured from the top of target, such as a satellite or plane platform, ship targets can be presented at any orientation. When detecting using horizontal bounding boxes, there will background clutter in box. This makes it harder to detect and find its precise location, especially when close proximity staying shore. To solve these problems, this paper proposes deep learning algorithm multiscale rotated box target complex obtain location orientation information...
Salinity stress poses a major obstacle to agricultural productivity. Employing plant growth-promoting rhizobacteria (PGPR) has attracted significant attention due its potential improve development in challenging conditions. Yet, additional investigation is essential fully understand the of PGPR mitigating salinity stress, especially field applications. Hence, this study investigated resistance mechanisms soybean (Glycine max (L.) Merr.) under salt with application through experiment four...
After the great achievement of solving two-player zero-sum games, more and AI researchers focus on multiplayer games. To facilitate development designing efficient learning algorithms for we propose a game platform Urban Network Security Games (\textbf{UNSG}) that model real-world scenarios. That is, preventing criminal activity is highly significant responsibility assigned to police officers in cities, have allocate their limited security resources interdict escaping when crime takes place...
The extensive utilization of zinc oxide nanoparticles in consumer products and the industry has led to their substantial entry into soil through air surface runoff transportation, which causes ecotoxicity agro-ecosystems detrimental effects on crop production. Nanobubbles (diameter size < 1 µm) have many advantages, such as a high area, rapid mass transfer, long retention time. In this study, wheat seedlings were irrigated with 500 mg L−1 nanoparticle solution delivered form nanobubble...
Solar flares are solar storm events driven by the magnetic field in activity area. flare, often associated with proton event or CME, has a negative impact on ratio communication, aviation, and aerospace. Therefore, its forecasting attracted much attention from academic community. Due to limitation of unbalanced distribution observation data, most techniques failed effectively learn complex characteristics, leading poor performance. Through statistical analysis flare map data observed SDO/HMI...
Abstract Recently, although various deep learning techniques have been applied to building space weather prediction models, a large amount of relevant prior knowledge solar eruptions and magnetic properties is ignored during the model development. By integrating in flare production into convolutional neural network (CNN) structures, we developed knowledge‐informed aiming at forecasting flares. The line‐of‐sight magnetograms Space‐weather HMI Active Region Patches (SHARP) from May 2010...
Organic solar cells (OSCs) are widely studied for their advantages such as simple production, low cost, good flexibility, and large‐area printing. The buffer layer between electrodes the photoactive has a significant impact on efficiency stability of OSCs. In order to lower energy barrier height at interface, provide an Ohmic contact with series resistance, increase charge collection corresponding either holes or electrons, suitable electrode materials can be chosen. selection important...
Nowadays, with the rapid increase of WLAN-enabled mobile devices and more widespread use WLAN, it is increasingly important to have a efficient initial link setup mechanism, there demand for faster access authentication method than current IEEE 802.11i. In this paper, through experiments we observe that delay 802.11i intolerable under some scenarios, point main reason resulting in such inefficiency due its design from framework perspective which introduces too many messages. To overcome...
The wide prevalence of staining variations in digital pathology presents a significant obstacle, often undermining the effectiveness diagnosis and analysis. current strategies to counteract this issue primarily revolve around Stain Normalization (SN) Augmentation (SA). Nonetheless, these methodologies come with inherent limitations. They struggle adapt vast array styles, tend presuppose linear associations between color spaces, lead unrealistic transformations. In response challenges, we...
Axis inhibition protein 1 (AXIN1), a scaffold interacting with various critical molecules, plays vital role in determining cell fate. However, its impact on the antiviral innate immune response remains largely unknown. Here, we identify that AXIN1 acts as an effective regulator of immunity against both DNA and RNA virus infections. In resting state, maintains stability transcription factor interferon regulatory 3 (IRF3) by preventing p62-mediated autophagic degradation IRF3. This is achieved...
Distance-based outlier detection is an important data mining technique that finds abnormal objects according to some distance function. However, when this applied high-dimensional categorical data, a traditional simple matching dissimilarity measure does not provide adequate model. In article, we employ new common- neighbor-based function the proximity between pair of points. Experiments show better results can be achieved utilized rather than conventional measure.