In desert, Gobi, and mountain front areas, seismic data often suffer from wide frequency band noises with poor linearity and strong energy that is ten to ten thousand times stronger than the energy of the effective si...
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In this paper we consider the problem of training a Support Vector Machine (SVM) online using a stream of data in random order. We provide a fast online training algorithm for general SVM on very large datasets. Based...
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Object detection is crucial for the real-time operations of Unmanned Aerial Vehicles (UAVs), particularly in identifying small objects within UAV imagery. While existing computer vision techniques have shown success i...
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In oil and gas seismic exploration, a near-surface P-wave velocity model can be established using the P-wave first arrival tomography inversion. At the same time, the surface wave characteristics in P-wave seismic rec...
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This paper summarizes [KGS23], published in the Journal of Systems & software. software Product Line (SPL) evolution affects multiple kinds of artifacts like code, build, and variability model. Only part of these ...
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In the context of engineering education, constructing a curriculum system with an Outcome-Based Education (OBE) approach using reverse thinking can effectively motivate students to learn proactively. However, due to t...
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Unpaired shape-to-shape translation refers to the task of transforming the geometry and semantics of an input shape into a new shape domain without paired training data. Previous methods utilize GAN-based architecture...
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Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global *** study addresses the pressing issue of brain tumor classification using Magnetic reson...
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Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global *** study addresses the pressing issue of brain tumor classification using Magnetic resonance imaging(MRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more *** research introduces an innovative custom convolutional neural network(CNN)model,*** stands out as a lightweight CNN model compared to its *** research utilized the BraTS 2020 dataset for its *** with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation Mapping(Grad-CAM++).They provide insights into critical decision-making regions for classification *** challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.
Edge Computing (EC) is a distributed network architecture offering computation and storage resources at the network edge, addressing cloud computing limitations by optimizing latency and enhancing data safety and priv...
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The paper considers a solution to the problem of delayed garbage collection using computer vision and machine learning. It is proposed to carry out photo and video recording of the condition of container sites where d...
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