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Duet of ViT and CNN: multi-scale dual-branch network for fine-grained image classification of marine organisms
Fine-grained image classification of marine organisms involves dividing subcategories within a larger category. For instance, this could mean...
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Automated Rock Quality Designation Using Convolutional Neural Networks
Mineral and hydrocarbon exploration relies heavily on geological and geotechnical information extracted from drill cores. Traditional drill-core...
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Development of an Open-Source Tool for UAV Photogrammetric Data Processing
Unmanned aerial vehicles (UAVs) or drones are lightly weighted platforms with numerous advantages and can acquire very high-resolution data rapidly...
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Quantification of rock heterogeneity and application in predicting rock mechanical properties
Heterogeneity is an essential feature of rock, while most rock mechanics models only adopt conventional rock physical properties and ignore the...
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Methodology of conceptual specification of models in global tectonics
Global tectonics has evolved from intuitive guesses based on fragmentary data to an objective, impartial vision of the Earth dynamics. This vision...
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Artificial Intelligence and Its Importance in Post-COVID-19 China
Artificial intelligence (AI) has been a powerful tool in the fourth industrial revolution as industries have been shifting to using technologies in...
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Combining global climate models using graph cuts
Global Climate Models are the main tools for climate projections. Since many models exist, it is common to use Multi-Model Ensembles to reduce biases...
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RETRACTED ARTICLE: UI design of visual communication of coastal city landscape based on embedded network system and remote sensing data
Now the development speed of cities is getting faster and faster, and many cities have reached the stage of urban landscape design. At this stage,...
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A Practical Guide to Ore Microscopy—Volume 2 Ore Textures and Automated Ore Analysis
This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw...
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A novel strategy for classifying spectral-spatial shallow and deep hyperspectral image features using 1D-EWT and 3D-CNN
Hyperspectral images (HIs) are used in diverse disciplines, such as resource handling, land cover analysis, food science, anomaly detection, and...
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Toward digital twin of the ocean: from digitalization to cloning
The forthcoming wave of progress in oceanographic technology is the digital twin of the ocean, a concept that integrates marine big data and...
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Paint Speckle Application Recommendations for Digital Image Correlation Analysis of Brazilian Tensile Strength Tests on Low-Porosity Rocks
Digital Image Correlation (DIC) is a popular non-contact, photography-based strain measurement method in geomechanics laboratory testing of rock. The...
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Quantitative Identification and Application of Rock Types in Complex Carbonate Reservoirs in the Middle East
Porous carbonate reservoirs in the Middle East are affected by sedimentation and diagenesis, with characteristics of multiple reservoir genetic types...
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Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography (µCT)
Texture is one of the critical parameters that affect the process behavior of ore minerals. Traditionally, texture has been described qualitatively,...
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RETRACTED ARTICLE: Evaluation of solar energy potential based on target detection and design of English vocabulary teaching platform
Target detection is now a hot research direction in the field of computer vision, where we can find applications for national defense, security, and...
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Comparative analysis of five convolutional neural networks for landslide susceptibility assessment
To evaluate the performance of deep learning methods on the landslide susceptibility map**, five different convolutional neural networks...
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A Deep Learning Method for Statistical Downscaling of CLDAS Relative Humidity with Different Sources of Data: Sensitivity Analysis
High-resolution relative humidity (RH) data are essential in studies of climate change and in numerical meteorological forecasting. However, because...
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Improving Yolo5 for Real-Time Detection of Small Targets in Side Scan Sonar Images
Side scan sonar (SSS) is an important means to detect and locate seafloor targets. Autonomous underwater vehicles (AUVs) carrying SSS stay near the...
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Enhancing navigation performance through visual-inertial odometry in GNSS-degraded environment
In recent years, with the rapid development of automated driving technology, the task for achieving continuous, dependable, and high-precision...
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Bioinspired Polarized Optical Flow Enables Turbid Underwater Target Motion Estimation
Underwater target motion estimation is a challenge for ocean military and scientific research. In this work, we propose a method based on the...