A5100333803- Magnetic Properties and Synthesis of Ferrites
- Multiferroics and related materials
- Multimodal Machine Learning Applications
- Iron oxide chemistry and applications
- Advanced Manufacturing and Logistics Optimization
- Inorganic Fluorides and Related Compounds
- Domain Adaptation and Few-Shot Learning
- Aerospace Engineering and Control Systems
- Artificial Intelligence in Games
- High voltage insulation and dielectric phenomena
- Magnetic properties of thin films
- Advanced Condensed Matter Physics
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Plant Surface Properties and Treatments
- Optimization and Packing Problems
- Advanced Text Analysis Techniques
- Silicone and Siloxane Chemistry
Wuhan University
2005-2022
China Institute of Daily Chemical Industry
2005
Cobalt ferrite nanoparticles were synthesized via the hydrothermal route with addition of trisodium citrate dihydrate (Na3CA⋅2H2O). The characterizations including x-ray diffraction (XRD) and transmission electron microscope showed that products this reaction are composed cobalt nanocrystallite a small amount FeOOH, average crystallite size is 7.6±0.3 nm by XRD. magnetic measurements revealed temperature-dependent properties: superparamagnetism occurs above 380 K due to overcoming energy...
The C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sub> F xmlns:xlink="http://www.w3.org/1999/xlink">10</sub> O gas mixture has great application prospects as a potential SF xmlns:xlink="http://www.w3.org/1999/xlink">6</sub> substitute gas. It is necessary to study the compatibility of with copper and aluminum used in electrical insulation equipment before engineering application. In this paper, we studied interaction O/CO...
Online relevance feedback (RF) is widely utilized in instance search (INS) tasks to further refine imperfect ranking results, but it often has low interaction efficiency. The active learning (AL) technique addresses this problem by selecting valuable candidates. However, mainstream AL methods require an initial labeled set for a cold start and are computationally complex solve. Therefore, they cannot fully satisfy the requirements online RF interactive INS tasks. To address issue, we propose...
Online relevance feedback (RF) is widely utilized in instance search (INS) tasks to further refine imperfect ranking results, but it often has low interaction efficiency. The active learning (AL) technique addresses this problem by selecting valuable candidates. However, mainstream AL methods require an initial labeled set for a cold start and are computationally complex solve. Therefore, they cannot fully satisfy the requirements online RF interactive INS tasks. To address issue, we propose...