A5102815056- Rare-earth and actinide compounds
- Advanced Condensed Matter Physics
- Advanced Vision and Imaging
- Industrial Vision Systems and Defect Detection
- Magnetic and transport properties of perovskites and related materials
- Graphene research and applications
- Image and Object Detection Techniques
- Power Systems and Technologies
- Supercapacitor Materials and Fabrication
- Inorganic Chemistry and Materials
- Remote Sensing and LiDAR Applications
- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Robotics and Sensor-Based Localization
- Advanced biosensing and bioanalysis techniques
- Statistical Methods and Inference
- Biosensors and Analytical Detection
- Advanced Manufacturing and Logistics Optimization
- Iron-based superconductors research
- Topological Materials and Phenomena
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Advanced Image and Video Retrieval Techniques
- Satellite Image Processing and Photogrammetry
- Digital Transformation in Industry
The University of Tokyo
2024
Chinese Academy of Sciences
2020-2024
University of Science and Technology of China
2023-2024
Tianjin University
2023
China Academy of Space Technology
2022
Shenyang Institute of Computing Technology (China)
2020
University of Chinese Academy of Sciences
2020
Beihang University
2010
Abstract The magnetic properties, magneto‐resistivity, Hall resistivity, Seebeck coefficient, and heat capacity are investigated for a topological nodal‐line semimetal TbSbTe. calculated energy‐band structures of TbSbTe show two nodal rings on the k x ‐ y planes, Fermi surface possesses one electron pocket with an enclosure hole around Γ point. multiple phase transitions induced at critical fields H c 1 ≈ 10.5 kOe, 2 20.8 3 38.2 kOe K // ab plane. Temperature dependence electrical...
High-order harmonics and the reverse of squaring-up process is uncovered in evolution magnetic orders centrosymmetric layered triangular-lattice magnet HoPdAl${}_{4}$Ge${}_{2}$. Ho${}^{3+}$ spins order antiferromagnetically as a transverse spin density wave below 10.5 K. Upon further cooling through 5.5 K, high-order develop, suggesting ``squaring up'' process. It surprising that squaring up does not continue down to 0 K but reverses trend ~3 or by applying small field.
In view of the various types fabric defects, complex textures and lack existing defect detection technology, this paper proposes a new technology based on deep learning. Specifically, Faster R-CNN network model, residual is used instead traditional VGG-16 for feature extraction. order to increase detailed shallow features, pyramid model different scales constructed as input RPN network. And number anchors are increased adapt small object scenarios. addition, regularized softmax classifier...
Abstract:
To promote the development of textile industrial and upgrade existing production technology. This article explored intelligent application scenarios by analyzing process technology clothing process. The hardware deployment management architecture line were designed combining machine vision, deep learning robot And performance algorithms under framework also verified in this article.
Mediation analysis plays an increasingly crucial role in identifying potential causal pathways between exposures and outcomes. However, there is currently a lack of developed mediation approaches for high-dimensional survival data, particularly when considering additive hazard models. The present study introduces two novel statistically significant mediators models, including the multiple testing-based mediator selection method knockoff filter procedure. simulation results demonstrate...
Near-space remote sensing image registration is an important foundation of near-space processing. For large jitter distortion, geometric and atmospheric distortion its image, we propose a two-step method based on deep neural networks, which includes coarse-to-fine process. We construct dataset captured from Google Maps hot air balloon platforms, etc. obtaining candidates, the coarse alignment stage applies classical validation methods to corresponding set pre-trained features. The fine...