Spectral encoder to extract the features of near-infrared spectra for multivariate calibration

C Duan, X Liu, W Cai, X Shao - Journal of Chemical Information …, 2022 - ACS Publications
An autoencoder architecture was adopted for near-infrared (NIR) spectral analysis by
extracting the common features in the spectra. Three autoencoder-based networks with …

Identification of autism in children using static facial features and deep neural networks

KK Mujeeb Rahman, MM Subashini - Brain Sciences, 2022 - mdpi.com
Autism spectrum disorder (ASD) is a complicated neurological developmental disorder that
manifests itself in a variety of ways. The child diagnosed with ASD and their parents' daily …

[HTML][HTML] Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions

J Li, C Li, W Xu, H Feng, F Zhao, H Long… - International Journal of …, 2022 - Elsevier
The normalized difference vegetation index (NDVI) is crucial to many sustainable
agricultural practices such as vegetation monitoring and health evaluation. However, optical …

Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin

W Qu, J Li, R Zhang, S Liu, J Bao - Journal of Intelligent Manufacturing, 2024 - Springer
Increasing numbers of lithium-ion batteries for new energy vehicles that have been retired
pose a threat to the ecological environment, making their disassembly and recycling …

Wheat ear recognition based on RetinaNet and transfer learning

J Li, C Li, S Fei, C Ma, W Chen, F Ding, Y Wang, Y Li… - Sensors, 2021 - mdpi.com
The number of wheat ears is an essential indicator for wheat production and yield
estimation, but accurately obtaining wheat ears requires expensive manual cost and labor …

Transfer learning for spatio-temporal transferability of real-time crash prediction models

CK Man, M Quddus, A Theofilatos - Accident Analysis & Prevention, 2022 - Elsevier
Real-time crash prediction is a heavily studied area given their potential applications in
proactive traffic safety management in which a plethora of statistical and machine learning …

Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet

L Peng, C Wang, G Tian, G Liu, G Li, Y Lu… - Frontiers in …, 2022 - frontiersin.org
COVID-19 has caused enormous challenges to global economy and public health. The
identification of patients with the COVID-19 infection by CT scan images helps prevent its …

基于YOLO_X 和迁移学习的无人机影像玉米雄穗检测

汪斌斌, 杨贵军, 杨浩, 顾寄南, 赵丹, 许思喆, 徐波 - 农业工程学报, 2022 - aeeisp.com
玉米雄穗表型信息的获取对研究玉米长势及产量起着非常重要的作用, 为实现复杂田间环境玉米
雄穗的精确识别和计数, 该研究使用无人机采集试验田的玉米雄穗影像, 基于Faster R-CNN …

Using deep learning to detect an indicator arid shrub in ultra-high-resolution UAV imagery

A Retallack, G Finlayson, B Ostendorf, M Lewis - Ecological Indicators, 2022 - Elsevier
Effective monitoring of arid and semi-arid rangelands around the world is essential to
understand and combat degradation caused by anthropogenic use and facilitate effective …

Forest pest identification based on a new dataset and convolutional neural network model with enhancement strategy

Y Liu, S Liu, J Xu, X Kong, L Xie, K Chen, Y Liao… - … and Electronics in …, 2022 - Elsevier
Due to the lack of samples, deep learning in forest pest identification is severely limited, and
classification accuracy and generalization ability are insufficient. To address this issue, we …