Combining partial least squares and the gradient-boosting method for soil property retrieval using visible near-infrared shortwave infrared spectra
L Liu, M Ji, M Buchroithner - Remote Sensing, 2017 - mdpi.com
Soil spectroscopy has experienced a tremendous increase in soil property characterisation,
and can be used not only in the laboratory but also from the space (imaging spectroscopy) …
and can be used not only in the laboratory but also from the space (imaging spectroscopy) …
Deep convolutional autoencoders as generic feature extractors in seismological applications
The idea of using a deep autoencoder to encode seismic waveform features and then use
them in different seismological applications is appealing. In this paper, we designed tests to …
them in different seismological applications is appealing. In this paper, we designed tests to …
Pavement crack detection from hyperspectral images using a novel asphalt crack index
Detection of road pavement cracks is important and needed at an early stage to repair the
road and extend its lifetime for maintaining city roads. Cracks are hard to detect from images …
road and extend its lifetime for maintaining city roads. Cracks are hard to detect from images …
Real-time bearing fault diagnosis of induction motors with accelerated deep learning approach
This study introduces an efficient deep neural network based bearing fault detection of
induction motors. An approach to accelerate and compress convolutional neural networks …
induction motors. An approach to accelerate and compress convolutional neural networks …
Early-stage gas identification using convolutional long short-term neural network with sensor array time series data
Gas identification/classification through pattern recognition techniques based on gas sensor
arrays often requires the equilibrium responses or the full traces of time-series data of the …
arrays often requires the equilibrium responses or the full traces of time-series data of the …
An efficient multi-sensor remote sensing image clustering in urban areas via boosted convolutional autoencoder (BCAE)
High-resolution urban image clustering has remained a challenging task. This is mainly
because its performance strongly depends on the discrimination power of features …
because its performance strongly depends on the discrimination power of features …
Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning
Y Li, Z Gan, X Zhou, Z Chen - Journal of Microbiological Methods, 2022 - Elsevier
Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the
pathogen of listeriosis, potentially lethal disease for humans. There are many similarities …
pathogen of listeriosis, potentially lethal disease for humans. There are many similarities …
Land Use Classification of High-Resolution Multispectral Satellite Images With Fine-Grained Multiscale Networks and Superpixel Postprocessing
Y Ma, X Deng, J Wei - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Land use recognition from multispectral satellite images is fundamentally critical for
geological applications, but the results are not satisfied. The scale dimension of current …
geological applications, but the results are not satisfied. The scale dimension of current …
Deep learning hyperspectral imaging: a rapid and reliable alternative to conventional techniques in the testing of food quality and safety
Food quality and safety are a great public concern; outbreaks of food-borne illnesses can
lead to different health problems. Consequently, rapid and non-destructive artificial …
lead to different health problems. Consequently, rapid and non-destructive artificial …
NISC: neural network-imputation for single-cell RNA sequencing and cell type clustering
Single-cell RNA sequencing (scRNA-seq) reveals the transcriptome diversity in
heterogeneous cell populations as it allows researchers to study gene expression at single …
heterogeneous cell populations as it allows researchers to study gene expression at single …