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Refinado por: Base de dados/Biblioteca: Gale Academic OneFile remover assunto: Life Sciences & Biomedicine remover
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1
Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine
Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine
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Rapid Identification of Soybean Varieties by Terahertz Frequency-Domain Spectroscopy and Grey Wolf Optimizer-Support Vector Machine

Wei, Xiao ; Kong, Dandan ; Zhu, Shiping ; Li, Song ; Zhou, Shengling ; Wu, Weiji

Frontiers in plant science, 2022-03, Vol.13, p.823865-823865 [Periódico revisado por pares]

Switzerland: Frontiers Media S.A

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2
Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns
Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns
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Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns

Wee, Chong-Yaw ; Yap, Pew-Thian ; Shen, Dinggang

Human brain mapping, 2013-12, Vol.34 (12), p.3411-3425 [Periódico revisado por pares]

New York, NY: Blackwell Publishing Ltd

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3
Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA
Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA
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Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA

Syifa, Mutiara ; Panahi, Mahdi ; Lee, Chang-Wook

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (4), p.623 [Periódico revisado por pares]

MDPI AG

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4
Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification
Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification
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Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification

Kazeminejad, Amirali ; Sotero, Roberto C

Frontiers in neuroscience, 2019-01, Vol.12, p.1018-1018 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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5
Skin Cancer Detection: A Review Using Deep Learning Techniques
Skin Cancer Detection: A Review Using Deep Learning Techniques
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Skin Cancer Detection: A Review Using Deep Learning Techniques

Dildar, Mehwish ; Akram, Shumaila ; Irfan, Muhammad ; Khan, Hikmat Ullah ; Ramzan, Muhammad ; Mahmood, Abdur Rehman ; Alsaiari, Soliman Ayed ; Saeed, Abdul Hakeem M ; Alraddadi, Mohammed Olaythah ; Mahnashi, Mater Hussen

International journal of environmental research and public health, 2021-05, Vol.18 (10), p.5479 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model
Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model
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Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model

Li, Sen ; Wang, Lu ; Du, Zhifeng ; Jin, Shuna ; Song, Chengwu ; Jia, Shuailong ; Zhang, Yang ; Jiang, Hongliang

Analytical and bioanalytical chemistry, 2019-06, Vol.411 (15), p.3257-3268 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms
Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms
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Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms

Zhao, Yilu ; Ge, Kang ; Zhang, Ruzhi

Clinical, cosmetic and investigational dermatology, 2023-01, Vol.16, p.3509-3520 [Periódico revisado por pares]

New Zealand: Dove

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8
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
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Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

Ali, Iftikhar ; Greifeneder, Felix ; Stamenkovic, Jelena ; Neumann, Maxim ; Notarnicola, Claudia

Remote sensing (Basel, Switzerland), 2015-12, Vol.7 (12), p.16398-16421 [Periódico revisado por pares]

MDPI AG

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9
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
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Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms

Tassi, Andrea ; Vizzari, Marco

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (22), p.3776 [Periódico revisado por pares]

Basel: MDPI AG

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10
Deep Learning Approach for Car Detection in UAV Imagery
Deep Learning Approach for Car Detection in UAV Imagery
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Deep Learning Approach for Car Detection in UAV Imagery

Ammour, Nassim ; Alhichri, Haikel ; Bazi, Yakoub ; Benjdira, Bilel ; Alajlan, Naif ; Zuair, Mansour

Remote sensing (Basel, Switzerland), 2017-04, Vol.9 (4), p.312 [Periódico revisado por pares]

Basel: MDPI AG

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