A review of artificial neural network models for ambient air pollution prediction
Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …
(ANNs) has increased dramatically in recent years. However, the development of ANN …
Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models
R Sarkhani Benemaran, M Esmaeili-Falak… - International Journal of …, 2023 - Taylor & Francis
Resilient modulus (MR) plays the most critical role in the evaluation and design of flexible
pavement foundations. MR is utilised as the principal parameter for representing stiffness …
pavement foundations. MR is utilised as the principal parameter for representing stiffness …
Non-destructive detection of the freshness of air-modified mutton based on near-infrared spectroscopy
P Jin, Y Fu, R Niu, Q Zhang, M Zhang, Z Li, X Zhang - Foods, 2023 - mdpi.com
Monitoring and identifying the freshness levels of meat holds significant importance in the
field of food safety as it directly relates to human dietary safety. Traditional packaging …
field of food safety as it directly relates to human dietary safety. Traditional packaging …
“NanoBRIDGES” software: open access tools to perform QSAR and nano-QSAR modeling
Nanotechnology is a branch of science and technology that comes with lots of industrial
applications and potential benefits to the society. But the risk associated with the …
applications and potential benefits to the society. But the risk associated with the …
Convolutional neural network: Deep learning-based classification of building quality problems
B Zhong, X Xing, P Love, X Wang, H Luo - Advanced Engineering …, 2019 - Elsevier
The rapid development of the construction industry in China has introduced unprecedented
quality-related problems in the country's building industry. In response to this issue, the …
quality-related problems in the country's building industry. In response to this issue, the …
FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng
Y Li, JY Zhang, YZ Wang - Analytical and bioanalytical chemistry, 2018 - Springer
Three data fusion strategies (low-llevel, mid-llevel, and high-llevel) combined with a
multivariate classification algorithm (random forest, RF) were applied to authenticate the …
multivariate classification algorithm (random forest, RF) were applied to authenticate the …
Mapping the soil organic matter content in a typical black-soil area using optical data, radar data and environmental covariates
C Luo, W Zhang, X Zhang, H Liu - Soil and Tillage Research, 2024 - Elsevier
Soil organic matter (SOM) plays an extremely important role in soil formation, soil fertility,
environmental protection and the sustainable development of agriculture and forestry …
environmental protection and the sustainable development of agriculture and forestry …
Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques
HW Gu, HH Zhou, Y Lv, Q Wu, Y Pan, ZX Peng… - Journal of Food …, 2023 - Elsevier
Identifying geographical origins of red wines produced in specific regions is of great
importance, since the geographical origins of wine influence its quality and price greatly. In …
importance, since the geographical origins of wine influence its quality and price greatly. In …
A building regulation question answering system: A deep learning methodology
Regulations play an important role in assuring the quality of a building's construction and
minimizing its adverse environmental impacts. Engineers and the like need to retrieve …
minimizing its adverse environmental impacts. Engineers and the like need to retrieve …
State of the art in the development of adaptive soft sensors based on just-in-time models
A Saptoro - Procedia Chemistry, 2014 - Elsevier
Data-driven soft sensors have gained popularity due to availability of the recorded historical
plant data. The success stories of the implementations of soft sensors, however, involved …
plant data. The success stories of the implementations of soft sensors, however, involved …