A5100313169- Magnetic properties of thin films
- Medical Image Segmentation Techniques
- Advanced Memory and Neural Computing
- Cognitive Science and Mapping
- Artificial Intelligence in Law
- Image Retrieval and Classification Techniques
- AI in cancer detection
- Advanced Neural Network Applications
- Law, AI, and Intellectual Property
- Adversarial Robustness in Machine Learning
- Computational and Text Analysis Methods
- Electronic and Structural Properties of Oxides
- Multi-Criteria Decision Making
- Anomaly Detection Techniques and Applications
- Legal Education and Practice Innovations
- Topic Modeling
- Magnetic Field Sensors Techniques
Zhejiang Gongshang University
2025
Institute of Information Engineering
2024
University of Chinese Academy of Sciences
2024
National Engineering Research Center of Electromagnetic Radiation Control Materials
2024
University of Electronic Science and Technology of China
2023-2024
Guangdong University of Technology
2024
A spin Hall effect (SHE) enables the electrical generation and detection of currents for promising applications in spintronics, but heavy metals with low angle θSH limit development SHE devices. In this work, we have introduced dielectric oxide material SrTiO3 into Pt by magnetron sputtering measured on NiCo/Pt1–x(STO)x heterostructure through spin-torque ferromagnetic resonance. Our results demonstrate that maximum Pt0.98(STO)0.02 is 0.121 ± 0.003, which approximately twice pure (0.064...
Deep neural networks (DNNs) have revolutionized the field of computer vision like object detection with their unparalleled performance. However, existing research has shown that DNNs are vulnerable to adversarial attacks. In physical world, an adversary could exploit patches implement a Hiding Attack (HA) which target make it disappear from detector, and Appearing (AA) fools detector into misclassifying patch as specific object. Recently, many defense methods for detectors been proposed...
Accurate segmentation of lesion regions is crucial for clinical diagnosis and treatment across various diseases. While deep convolutional networks have achieved satisfactory results in medical image segmentation, they face challenges such as loss shape information due to continuous convolution downsampling, well the high cost manually labeling lesions with varying shapes sizes. To address these issues, we propose a novel visual prompting (MVP) framework that leverages pre-training concepts...
Abstract Orbitronics is an emerging domain within spintronics, and it characterized by a rapid development of methods for utilizing orbital current. Metals with strong spin‐orbit coupling have been effectively used to convert current into torque. This study introduces metallic [W/Ti] 3 superlattice that uses significantly enhance the magnetization switching efficiency. The enhancement in torque efficiency demonstrated via spin‐torque ferromagnetic resonance along extraction damping‐like ( ξ...
The existing environmental pollution efficiency evaluation method usually fails to portray the influence of diffusion among adjacent regions, which leads inaccuracy results. In paper, we propose Z-number Fuzzy Cognitive Map Based on Bargaining Game (Z-FCM-BG) model investigate impact alternative with information. To measure alternatives, fuzzy cognitive map under circumstance is employed deal complex causal relationship. Since traditional FCM highlights overall characteristics and behavior...
Large Language Models (LLMs) have revolutionized various domains with extensive knowledge and creative capabilities. However, a critical issue LLMs is their tendency to produce outputs that diverge from factual reality. This phenomenon particularly concerning in sensitive applications such as medical consultation legal advice, where accuracy paramount. In this paper, we introduce the LLM factoscope, novel Siamese network-based model leverages inner states of for detection. Our investigation...