A5009417392- Magnetic properties of thin films
- Physics of Superconductivity and Magnetism
- Quantum, superfluid, helium dynamics
- Superconducting Materials and Applications
- Iron oxide chemistry and applications
- Magneto-Optical Properties and Applications
- Diamond and Carbon-based Materials Research
- Advanced Surface Polishing Techniques
- Force Microscopy Techniques and Applications
- Remote-Sensing Image Classification
- Neural Networks and Applications
- Magnetic and transport properties of perovskites and related materials
- Characterization and Applications of Magnetic Nanoparticles
- Magnetic Properties and Applications
- GaN-based semiconductor devices and materials
- Magnetic and Electromagnetic Effects
- Electric Power Systems and Control
- Theoretical and Computational Physics
- Advanced Image Processing Techniques
- Geophysics and Sensor Technology
- Micro and Nano Robotics
- Metallic Glasses and Amorphous Alloys
- Magnetic Properties and Synthesis of Ferrites
- Particle Detector Development and Performance
- Electrostatics and Colloid Interactions
Shanghai University
2024
Zhengzhou University
2024
Shenyang Aerospace University
2023
Beijing Normal University
1993
Acute graft-versus-host disease (aGVHD) is primarily driven by allogeneic donor T cells associated with an altered composition of the host gut microbiome and its metabolites. The severity aGVHD after hematopoietic stem cell transplantation (allo-HSCT) not solely determined characteristics; however, underlying mechanisms remain unclear. Using single-cell RNA sequencing, we decoded immune atlas 12 patients who underwent allo-HSCT: six non-aGVHD. We performed a fecal microbiota (16SrRNA...
Recently, few-shot object detection (FSOD) has attracted extensive attention in the field of computer vision. However, these FSOD methods for natural images have limited performance when applied to remote sensing with arbitrary orientations, dense objects, and complex backgrounds. In this paper, we propose a novel method address above challenges images. First, design non-freezing two-stage fine-tuning detector that is fully trained on base class data extract information first stage,...
In this work, we demonstrated a rapid modeling approach for 3D FBARs using Keras based neural network, enabling quicker determination of the device's physical properties compared to traditional finite element methods (FEM). experiment, 5000 FBAR with randomly generated electrode shapes were used training and testing in their frequency response. Normalized root mean square error values better than 0.22% an 0.87 R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Hyperspectral Image (HSI) classification is currently receiving widespread attention and research. However, due to environmental disturbances during data acquisition, lack of professional knowledge annotation, human errors, the presence noisy labels often makes task difficult.We propose a novel training approach address problem HSI with labels. Specifically, new sample selection strategy designed in this paper identify high-confidence labeled samples eliminate low-confidence order mitigate...