The role of machine learning to boost the bioenergy and biofuels conversion
The development and application of bioenergy and biofuels conversion technology can
play a significant role for the production of renewable and sustainable energy sources in the …
play a significant role for the production of renewable and sustainable energy sources in the …
Real-time illegal parking detection algorithm in urban environments
Currently, illegal parking detection tasks are mainly achieved through manually checking by
enforcement officers on patrol or using Closed-Circuit Television (CCTV) cameras. However…
enforcement officers on patrol or using Closed-Circuit Television (CCTV) cameras. However…
Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass
Biogas derived from the anaerobic digestion of biomass can provide a carbon-neutral resource
for green energy supply in the future. The biochemical methane potential (BMP) test has …
for green energy supply in the future. The biochemical methane potential (BMP) test has …
An extreme learning machine for unsupervised online anomaly detection in multivariate time series
Unsupervised anomaly detection in time series remains challenging, due to the rare and
complex patterns of anomalous data. Previous change point detection methods based on …
complex patterns of anomalous data. Previous change point detection methods based on …
Traffic anomaly detection in intelligent transport applications with time series data using informer
Multivariate time series traffic dataset is usually large with multiple feature dimensions for
long time duration under certain time intervals or sampling rates. In applications such as …
long time duration under certain time intervals or sampling rates. In applications such as …
YOLOx model-based object detection for microalgal bioprocess
H Yan, X Peng, C Chen, A Xia, Y Huang, X Zhu, X Zhu…�- Algal Research, 2023 - Elsevier
Microalgae can fix carbon dioxide from flue gases and utilize nutrients from wastewater while
producing valuable biomass production of biofuels, chemicals, and fertilizers. Microalgae …
producing valuable biomass production of biofuels, chemicals, and fertilizers. Microalgae …
[HTML][HTML] TCF-Trans: Temporal Context Fusion Transformer for Anomaly Detection in Time Series
Anomaly detection tasks involving time-series signal processing have been important
research topics for decades. In many real-world anomaly detection applications, no specific …
research topics for decades. In many real-world anomaly detection applications, no specific …
Robust real-time face tracking for people wearing face masks
Due to the outbreak of the novel coronavirus (or known as COVID-19), people are advised
to wear masks when they stay outdoors in many countries. This could result in difficulty for …
to wear masks when they stay outdoors in many countries. This could result in difficulty for …
Reformative vehicle license plate recognition algorithm based on deep learning
X Peng, L Wen, D Bai, B Peng�- …�Beijing, China, November 29-December 1�…, 2019 - Springer
As the surge of the number of vehicles in modern cities, it has become more and more difficult
to recognize vehicle plates in high accuracy from different shooting situations. Traditional …
to recognize vehicle plates in high accuracy from different shooting situations. Traditional …
Event recognition and anomaly detection using machine learning
X Peng - 2024 - dr.ntu.edu.sg
Abnormal event recognition and anomaly detection aim to discover incidents, patterns or
objects that do not conform to expected behaviour. In this thesis, our focus includes two parts: “…
objects that do not conform to expected behaviour. In this thesis, our focus includes two parts: “…