A5104241284- Scientific Computing and Data Management
- Fault Detection and Control Systems
- Spectroscopy Techniques in Biomedical and Chemical Research
- Spectroscopy and Chemometric Analyses
- Cutaneous Melanoma Detection and Management
Florida Atlantic University
2024-2025
Designing organic fluorescent molecules with tailored optical properties is challenging in decades, while the new avenue was opened by statistical models. Inverse design has garnered considerable interest materials science but concentrates on arbitrary or theoretical properties. Here, we introduce a strategy that enables direct optimization of specific experimental inverse process, utilizing variational autoencoder (VAE) latent vector-based prediction model. Omitting Kullback-Leibler...
Designing organic fluorescent molecules with tailored optical properties is challenging in decades, while the new avenue was opened by statistical models. Inverse design has garnered considerable interest materials science but concentrates on arbitrary or theoretical properties. Here, we introduce a strategy that enables direct optimization of specific experimental inverse process, utilizing variational autoencoder (VAE) latent vector-based prediction model. Omitting Kullback-Leibler...
Using Raman spectroscopy (RS) signals for skin cancer tissue classification has recently drawn significant attention, because of its non-invasive optical technique nature using molecular structures and conformations within biological diagnosis. In reality, RS are noisy unstable training machine learning models. The scarcity samples also makes it challenging to learn reliable deep-learning networks clinical usages. this paper, we advocate a Transfer Contrasting Learning Paradigm (TCLP)...