Siyuan Deng

ORCID: 0000-0001-9683-6627
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Chemical Sensor Technologies
  • Insect Pheromone Research and Control
  • Olfactory and Sensory Function Studies
  • Gas Sensing Nanomaterials and Sensors
  • Advanced Computational Techniques and Applications
  • Ferroptosis and cancer prognosis
  • Military Defense Systems Analysis
  • Analytical Chemistry and Sensors
  • Neural dynamics and brain function
  • Advanced Algorithms and Applications
  • Circular RNAs in diseases

Chongqing University
2005-2025

Affiliated Hospital of Southwest Medical University
2025

Southwest Medical University
2025

Sensor drift is often application-dependent and results in a reduction the overall long-term performance of electronic noses. Even with compensation it remains challenging to transfer these models other application scenarios. In order remedy this deficiency, different/generic chemicals are needed provide general-purpose calibration approach that can be applied wide range article, we investigated method identify based on four criteria (universality, safety, sensibility, differentiation). This...

10.1109/tim.2022.3228283 article EN IEEE Transactions on Instrumentation and Measurement 2022-12-28

Deep learning models can autonomously learn intricate feature representations directly from raw data, thereby alleviating the burden of engineering and achieving notable performance enhancements across various tasks. However, due to limited sample size gas sensor array data sets, deep are susceptible issues such as overfitting in odor classification This paper proposed a pyramid scattering convolutional network framework (PSCN) based on wavelet transform address above issues. PSCN first...

10.1109/jsen.2024.3406525 article EN IEEE Sensors Journal 2024-06-04

This study aims to enhance the robustness of electronic nose (e-nose) against noise interference and sensor damage through a biomimetic approach. Inspired by structure biological mechanisms mammalian olfactory system, we have proposed novel model for processing signals from gas-sensitive arrays e-nose. simulates functions epithelium bulb, encoding into spike sequences, incorporates concept wavelet filter banks scattering networks, effectively capturing local variations in signals. Utilizing...

10.1109/isoen61239.2024.10556079 article EN 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 2024-05-12

10.1109/tim.2024.3462986 article EN IEEE Transactions on Instrumentation and Measurement 2024-01-01

Cisplatin plays a pivotal role in the chemotherapy treatment of various cancers, but its use is often limited due to nephrotoxic side effects. Identifying compounds that can mitigate cisplatin-induced nephrotoxicity therefore great importance. This study focused on evaluating protective effects reserpine against acute kidney injury. Reserpine was found significantly safeguard damage caused by cisplatin, as indicated decreased levels serum creatinine, blood urea nitrogen, and lactate...

10.1080/0886022x.2024.2406395 article EN cc-by-nc Renal Failure 2024-10-08

Signal processing in electronic nose (e-nose) odor detection involves a series of complex and time-consuming steps, such as noise reduction, filtering, normalization signal preprocessing, well feature generation, selection, dimensionality reduction. When dealing with different gas sensors, these methods might require meticulous adjustments, each sensor need own specific strategy. Such strategies are often tedious overly reliant on intricate engineering, leading to operations poor...

10.1109/ccisp59915.2023.10355792 article EN 2022 7th International Conference on Communication, Image and Signal Processing (CCISP) 2023-11-17
Coming Soon ...