Remote sensing estimation of surface PM2. 5 concentrations using a deep learning model improved by data augmentation and a particle size constraint
Accurate estimation of PM 2.5 concentrations is critical to understanding and counteracting
air pollution. In the past decade, various machine learning models, especially deep learning …
air pollution. In the past decade, various machine learning models, especially deep learning …
[HTML][HTML] RUESVMs: An ensemble method to handle the class imbalance problem in land cover mapping using Google Earth Engine
Timely and accurate Land Cover (LC) information is required for various applications, such
as climate change analysis and sustainable development. Although machine learning …
as climate change analysis and sustainable development. Although machine learning …
[HTML][HTML] A hybrid data balancing method for classification of imbalanced training data within google earth engine: Case studies from mountainous regions
A Naboureh, A Li, J Bian, G Lei, M Amani - Remote Sensing, 2020 - mdpi.com
Distribution of Land Cover (LC) classes is mostly imbalanced with some majority LC classes
dominating against minority classes in mountainous areas. Although standard Machine …
dominating against minority classes in mountainous areas. Although standard Machine …
[HTML][HTML] Prediction of histone deacetylase inhibition by triazole compounds based on artificial intelligence
Y Wang, P Zhang - Frontiers in Pharmacology, 2023 - frontiersin.org
A quantitative structure-activity relationship (QSAR) study was conducted to predict the anti-
colon cancer and HDAC inhibition of triazole-containing compounds. Four descriptors were …
colon cancer and HDAC inhibition of triazole-containing compounds. Four descriptors were …
[HTML][HTML] A novel double ensemble algorithm for the classification of multi-class imbalanced hyperspectral data
The class imbalance problem has been reported to exist in remote sensing and hinders the
classification performance of many machine learning algorithms. Several technologies, such …
classification performance of many machine learning algorithms. Several technologies, such …
面向不平衡高光谱遥感分类的SMOTE 和旋转森林动态集成算法
童莹萍， 冯伟， 宋怡佳， 全英汇， 黄文江， 高连如… - 遥感学报, 2022 - ygxb.ac.cn
旋转森林RoF (Rotation Forest) 是一种功能强大的集成分类器, 它在高光谱图像分类中已经获得
了很多成功的应用. 然而, 现实数据经常存在类别不平衡的问题, 这使得传统的RoF …
了很多成功的应用. 然而, 现实数据经常存在类别不平衡的问题, 这使得传统的RoF …
Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias
W He, L Li, X Gao - Remote Sensing, 2024 - mdpi.com
Challenges in enhancing the multiclass segmentation of remotely sensed data include
expensive and scarce labeled samples, complex geo-surface scenes, and resulting biases …
expensive and scarce labeled samples, complex geo-surface scenes, and resulting biases …
[HTML][HTML] Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation
L Li, Z Zhu, C Wang - Remote Sensing, 2023 - mdpi.com
Recognizing and classifying natural or artificial geo-objects under complex geo-scenes
using remotely sensed data remains a significant challenge due to the heterogeneity in their …
using remotely sensed data remains a significant challenge due to the heterogeneity in their …
[HTML][HTML] Assessing the spatiotemporal heterogeneity of terrestrial temperature as a proxy to microclimate and its relationship with urban hydro-biophysical parameters
Rapid urban land use and land cover changes have become a major environmental issue
because of their ecological effects, including loss of green space and urban heat islands …
because of their ecological effects, including loss of green space and urban heat islands …
Classification of credit card holders based on random forest algorithm
G Lei, S Su, W Liao - Proceedings of the 2021 5th International …, 2021 - dl.acm.org
Random forest algorithm is one of good means in data mining and information processing. It
has been used in many applications such as resource harness, pattern recognition, and so …
has been used in many applications such as resource harness, pattern recognition, and so …