D. L. G. C. Bao

ORCID: 0009-0000-3468-3223
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About
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Research Areas
  • Multiferroics and related materials
  • Magnetic properties of thin films
  • Magneto-Optical Properties and Applications
  • Dielectric properties of ceramics
  • Advanced Technology in Applications
  • Theoretical and Computational Physics
  • Metallic Glasses and Amorphous Alloys
  • Iron-based superconductors research
  • Ferroelectric and Piezoelectric Materials
  • Fire Detection and Safety Systems
  • Magnetic and transport properties of perovskites and related materials
  • AI and Big Data Applications
  • Magnetic Properties and Applications
  • Educational Technology and Pedagogy
  • Rare-earth and actinide compounds
  • Magnetic Properties and Synthesis of Ferrites

Muroran Institute of Technology
2021

Huazhong University of Science and Technology
2015-2016

The negative magnetization and zero-field cooled exchange bias (ZFC EB) effect are observed in Co0.8Cu0.2Cr2O4 polycrystalline ceramics. 20% Cu substitution for Co CoCr2O4 leads to the evident reversal at compensation temperature (Tcomp ∼ 50 K) with applied magnetic field of 500 Oe. Besides, Tcomp decreases monotonously increasing field, finally disappears when increases 9000 Different dependence sublattice different crystallographic sites is proved induce reversal. In addition, ZFC EB can...

10.1063/1.4933262 article EN Applied Physics Letters 2015-10-12

The continuous development of artificial intelligence technology has caused the traditional education model to begin change as well. new educational applying intelligent monitoring devices modern classrooms, thus assisting teachers in teaching students, been successfully favored by major universities. Based on this, this research attempts improve target detection algorithm field deep learning, and proposes a method detecting analyzing students' classroom behavior based convolutional neural...

10.1145/3615865 article EN ACM Transactions on Asian and Low-Resource Language Information Processing 2023-08-17

The current intelligent recommendation models in online learning systems suffer from data sparsity and cold start problems. To address the problem, a collaborative filtering algorithm model (SACM-CF) based on an automatic coding machine is proposed study. can extract behavior features of users match these with resource to improve precision. For cold-start study proposes CBCNN CNN, using language as input implicit factor output model. avoid problem over-smoothing model, which affects...

10.5755/j01.itc.53.1.34317 article EN cc-by Information Technology And Control 2024-03-22
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