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Graph deep learning accelerated efficient crystal structure search and feature extraction
Structural search and feature extraction are a central subject in modern materials design, the efficiency of which is currently limited, but can be...
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Prediction and Feature Analysis of Entrapped Slag Defect on Casting Slab Based on Optimized XGBoost Model
Machine learning (ML) algorithms have been proven to be effective methods in steel design and production processes. In this study, the feature...
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Feature-Based Characterisation of Areal Surface Topography
In parallel to using ISO field parameters, the areal texture of a surface can be described in terms of the shape, size and spatial arrangement of its...
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STEF: a Swin Transformer-Based Enhanced Feature Pyramid Fusion Model for Dongba character detection
The Dongba manuscripts are a unique primitive pictographic writing system that originated among the Naxi people of Lijiang, China, boasting over a...
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Fast adaptive multimodal feature registration (FAMFR): an effective high-resolution point clouds registration workflow for cultural heritage interiors
Accurate registration of 3D scans is crucial in creating precise and detailed 3D models for various applications in cultural heritage. The dataset...
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Diagnosis of Bearing Faults Using Temporal Vibration Signals: A Comparative Study of Machine Learning Models with Feature Selection Techniques
Accurately identifying bearing defects is crucial for guaranteeing the dependability and effectiveness of industrial systems. Although the use of...
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An Integrated Learning Algorithm for Vibration Feature Selection and Remaining Useful life Estimation of Lathe Spindle Unit
Industry 4.0 brings about a convergence between traditional industrial practices and modern computational techniques. The manufacturing sector is...
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Deep Convolution Neural Network-Based Crack Feature Extraction, Detection and Quantification
Timely crack detection and evaluation is essential to prevent the further deterioration of the structural damage, and convolutional neural networks...
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DFU_XAI: A Deep Learning-Based Approach to Diabetic Foot Ulcer Detection Using Feature Explainability
Diabetic foot ulcer (DFU) is a potentially fatal complication of diabetes. Traditional techniques of DFU analysis and therapy are more time-consuming...
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Enhanced cycling rate performance of three-dimensional NiO as a positive electrode for hybrid supercapacitor
Electrochemical supercapacitors are effectively involved and have potential attention in recent years due to the greatest advancements in energy...
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Welding quality evaluation for refill friction stir spot welding based on three-dimensional feature of ultrasonic image
AbstractWelding quality of refill friction stir spot welding directly affects the reliability of products. Ultrasonic non-destructive testing...
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A near dimensionally invariable high-capacity positive electrode material
Delivering inherently stable lithium-ion batteries is a key challenge. Electrochemical lithium insertion and extraction often severely alters the...
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Strength Evolution and Fracture Feature of Carbon Fiber-Reinforced Silica Sol Shell for Investment Casting
The high-strength and thin-walled shells are extremely beneficial for not only rapid solidification of metal castings but also excellent for shell...
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Positive Material Identification Procedure Development to Prevent Valve Corrosion Failures
Valves are essential parts of pi** systems in the oil and gas industry. The failure of a valve due to corrosion is an adverse event with several...
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Machine Learning Approach to Predict Feature Dimensions for Fused Deposition Modelling
Additive manufacturing (AM) offers an efficient way of building complicated geometry in a shorter and cost-effective manner. Though process...
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Deep and Handcrafted Feature Fusion for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging
AbstractRecent advancements of nondestructive testing and evaluation (NDT&E) with machine learning, artificial intelligence, and the internet of...
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Characteristics of transparent cured film patterns prepared from sol-gel-derived positive-type photosensitive oligomeric silsesquioxanes with random structure
In the previous study, prebaked films are prepared from positive-type photosensitive oligomeric silsesquioxanes with phenyl (>50 mol%) and methyl...
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Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data
Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells. In situ real-time...
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Analysis of Critical Velocity of Cold Spray Based on Machine Learning Method with Feature Selection
Cold spraying has a potential application prospect in the field of repairing and additive manufacturing. The critical velocity of the cold spray is a...
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Time-Resolved Geometric Feature Tracking Elucidates Laser-Induced Keyhole Dynamics
During laser melting of metals, localized metal evaporation resulting in the formation of a keyhole shaped cavity can occur if processing conditions...
