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Prediction of tropospheric ozone using artificial neural network (ANN) and feature selection techniques
Tropospheric ozone (O 3 ), as an air pollutant is increasing at an alarming rate in urban areas. The concentration of ozone is affected by precursor...
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Hyperspectral image classification method based on squeeze-and-excitation networks, depthwise separable convolution and multibranch feature fusion
Hyperspectral image classification (HSIC) is a hot topic discussed by most researchers. In recent years, deep learning and especially CNN have...
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Three-Dimensional Pseudo-Lithologic Modeling Via Adaptive Feature Weighted k-Means Algorithm from Multi-Source Geophysical Datasets, Qingchengzi Pb–Zn–Ag–Au District, China
Methods for the analysis and integration of multi-source geophysical datasets are fundamental technologies for three-dimensional (3D) geological...
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Spatially-Weighted Factor Analysis for Extraction of Source-Oriented Mineralization Feature in 3D Coordinates of Surface Geochemical Signal
This contribution proposes a spatially weighted factor analysis (SWFA) to recognize effectively the underlying mineralization-related feature(s) in...
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Investigating a novel feature of multi-phase rotated empirical orthogonal function to capture spatiotemporal temperature variations
Climate change has profoundly impacted the Northwest Himalayan (NWH) region, necessitating the analysis of its swiftly evolving spatiotemporal...
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Identification of significant subsurface geological structural feature using gravity and magnetic survey in parts of Kamrup district, Assam and West Khasi Hills district, Meghalaya
Gravity and magnetic survey have been carried out in parts of the Kamrup district of Assam and the West Khasi Hills district of Meghalaya. The...
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Multivariable Time Series Forecasting for Urban Water Demand Based on Temporal Convolutional Network Combining Random Forest Feature Selection and Discrete Wavelet Transform
Urban water demand forecasting is crucial to reduce the waste of water resources and environmental protection. However, the non-stationarity and...
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One-dimensional compression feature and particle crushability behavior of dry calcareous sand considering fine-grained soil content and relative compaction
The particle breakage of porous and angular calcareous sand (CS) at the high-stress level is essential on compression feature but less quantified. In...
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Snow and glacial feature identification using Hyperion dataset and machine learning algorithms
Snow and glaciers are important sources of sustainable indicators for the availability of natural resources like freshwater, energy, minerals,...
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A Hybrid Atmospheric Satellite Image-Processing Method for Dust and Horizontal Visibility Detection through Feature Extraction and Machine Learning Techniques
Dust storms cause widespread damage to social health, economy, welfare, and environment of inhabitants in the affected areas. Although early...
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Examination of Various Feature Selection Approaches for Daily Precipitation Downscaling in Different Climates
To turn General Circulation Models (GCMs) projection toward better assessment, it is crucial to employ a downscaling process to get more reliability...
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GIS-based fuzzy-analytic network process (FAHP), fuzzy-analytic hierarchy process (FANP) methods and feature selection algorithm (FSA) to determine earthquake-prone areas in Kermanshah Province
Earthquakes have caused considerable economic damage and loss of lives. The ability to determine earthquake-prone areas has utmost importance to...
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An Experimental Study of Partial Melting of Metafelsic Rocks: Constraints on the Feature of Anatectic Melts and the Origin of Garnets in Collisional Orogens
Crustal anatexis in continental subduction zones has great bearing on chemical differentiation of the continental crust at convergent plate...
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Application of Efficient Channel Attention and Small-Scale Layer to YOLOv5s for Wheat Ears Detection
Wheat is a crucial global grain crop that plays a vital role in ensuring food security worldwide. The automatic and accurate counting of wheat ears...
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A comprehensive study of different feature selection methods and machine-learning techniques for SODAR structure classification
Sonic detection and ranging (SODAR) echogram provides atmospheric boundary layer (ABL) structure and its height. In the present research, highly...
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Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling
Rainfall-runoff (r-r) modeling at different time scales is considered as a significant issue in hydro-environmental planning. As a first hydrological...
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An evaluation of available digital elevation models (DEMs) for geomorphological feature analysis
A digital elevation model (DEM) is an essential dataset for many land feature analyses, such as geomorphological feature analyses, which are very...
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Feature extraction based on the convolutional neural network for adaptive multiple subtraction
Adaptive multiple subtraction is an important step for the success of multiple removal after multiple prediction. Generally, the traditional method...
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Spectral-spatial dynamic graph convolutional network for hyperspectral image classification
Graph convolutional networks (GCN) have attracted increasing attention in hyperspectral images (HSIs) classification because of its excellent...
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A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering
Building detection and shape extraction from satellite imagery are essential requirement for virtual 3D city modelling. For accurate 3D city...
