Cargando…

Automated spectroscopic modelling with optimised convolutional neural networks

Convolutional neural networks (CNN) for spectroscopic modelling are currently tuned manually, and the effects of their hyperparameters are not analysed. These can result in sub-optimal models. Here, we propose an approach to tune one-dimensional CNN (1D-CNNs) automatically. It consists of a parametr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shen, Zefang, Viscarra Rossel, R. A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794546/ https://www.ncbi.nlm.nih.gov/pubmed/33420224 http://dx.doi.org/10.1038/s41598-020-80486-9

Ejemplares similares

Wavelet geographically weighted regression for spectroscopic modelling of soil properties
por: Song, Yongze, et al.
Publicado: (2021)

Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry
por: DePaoli, Damon T., et al.
Publicado: (2019)

Convolutional Neural Networks for Challenges in Automated Nuclide Identification
por: Turner, Anthony N., et al.
Publicado: (2021)

Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
por: Nagendram, Sanam, et al.
Publicado: (2023)

Automated COVID-19 detection with convolutional neural networks
por: Dumakude, Aphelele, et al.
Publicado: (2023)

Convolutional neural network for automated mass segmentation in mammography
por: Abdelhafiz, Dina, et al.
Publicado: (2020)

Automated stomata detection in oil palm with convolutional neural network
por: Kwong, Qi Bin, et al.
Publicado: (2021)

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
por: Sadanandan, Sajith Kecheril, et al.
Publicado: (2017)

Automated identification of Myxobacterial genera using Convolutional Neural Network
por: Sajedi, Hedieh, et al.
Publicado: (2019)

Automated interpretation of the coronary angioscopy with deep convolutional neural networks
por: Miyoshi, Toru, et al.
Publicado: (2020)

Convolutional Neural Networks for Automated Annotation of Cellular Cryo-Electron Tomograms
por: Chen, Muyuan, et al.
Publicado: (2017)

Automated detection of geological landforms on Mars using Convolutional Neural Networks
por: Palafox, Leon F., et al.
Publicado: (2017)

Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification
por: Zhu, Tianqi, et al.
Publicado: (2020)

Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks
por: Almutairi, Abdullah, et al.
Publicado: (2022)

Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification
por: Fki, Zeineb, et al.
Publicado: (2023)

Automated classification of bacterial cell sub-populations with convolutional neural networks
por: Tamiev, Denis, et al.
Publicado: (2020)

Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks
por: Hasan, Md Imran, et al.
Publicado: (2022)

Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data
por: Acquarelli, Jacopo, et al.
Publicado: (2022)

Convolutional neural networks to automate the screening of malaria in low-resource countries
por: Zhao, Oliver S., et al.
Publicado: (2020)

Automated Grooming Detection of Mouse by Three-Dimensional Convolutional Neural Network
por: Sakamoto, Naoaki, et al.
Publicado: (2022)

Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks
por: Zhang, Chenxi, et al.
Publicado: (2022)

Automated detection of IVC filters on radiographs with deep convolutional neural networks
por: Mongan, John, et al.
Publicado: (2022)

Automated abnormality classification of chest radiographs using deep convolutional neural networks
por: Tang, Yu-Xing, et al.
Publicado: (2020)

ANMAF: an automated neuronal morphology analysis framework using convolutional neural networks
por: Tong, Ling, et al.
Publicado: (2021)

Automated detection of mouse scratching behaviour using convolutional recurrent neural network
por: Kobayashi, Koji, et al.
Publicado: (2021)

Deep convolutional neural networks for automated scoring of pentagon copying test results
por: Maruta, Jumpei, et al.
Publicado: (2022)

Fully automated condyle segmentation using 3D convolutional neural networks
por: Jha, Nayansi, et al.
Publicado: (2022)

A120 AUTOMATED BOWEL PREPARATION DETECTION WITH DEEP. CONVOLUTIONAL NEURAL NETWORKS
por: Low, D J, et al.
Publicado: (2022)

Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network
por: Arif, Muhammad, et al.
Publicado: (2022)

Automated Detection of Bowel Preparation Scoring and Adequacy With Deep Convolutional Neural Networks
por: Low, Daniel J, et al.
Publicado: (2022)

Convolutional neural network for automated classification of osteonecrosis and related mandibular trabecular patterns
por: Baseri Saadi, Soroush, et al.
Publicado: (2022)

Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
por: Sherkatghanad, Zeinab, et al.
Publicado: (2020)

Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks
por: Ozawa, Tsuyoshi, et al.
Publicado: (2020)

Automated identification of innocent Still's murmur using a convolutional neural network
por: Shekhar, Raj, et al.
Publicado: (2022)

Automated Detection of Infection in Diabetic Foot Ulcer Images Using Convolutional Neural Network
por: Yogapriya, J., et al.
Publicado: (2022)

On the interpretability of predictors in spatial data science: the information horizon
por: Behrens, Thorsten, et al.
Publicado: (2020)

Optimising a 3D convolutional neural network for head and neck computed tomography segmentation with limited training data
por: Henderson, Edward G.A., et al.
Publicado: (2022)

Group and Shuffle Convolutional Neural Networks with Pyramid Pooling Module for Automated Pterygium Segmentation
por: Abdani, Siti Raihanah, et al.
Publicado: (2021)

Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma
por: Strijbis, Victor I. J., et al.
Publicado: (2021)

Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
por: Alaskar, Haya, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_t32jl9166j79smoa7qaaotrdp9