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1
Seismic Deconvolution of Sparse Reflectivity using Orthogonal Clustering
Published 2020Get full text
masterThesis -
2
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
Published 2020“…In this study, we combine the state-of-the-art object-detection model YOLOv3 with depthwise separable convolutions and variational dropout in an attempt to bridge the gap between the superior accuracy of convolutional neural networks and the limited access to computational resources. …”
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Get full text
Get full text
Get full text
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3
CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Subjects: “…Convolution neural network…”
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4
MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography
Published 2025“…MicroCrystalNet: our proposed classification model employs a convolutional neural network architecture, incorporating advanced feature map processing (feature normalization, dimensionality reduction, and sparse feature selection), integrated within a novel Normalized Sparse Reduction block. …”
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5
Automatic Video Summarization Using HEVC and CNN Features
Published 2022Subjects: Get full text
doctoralThesis -
6
RamanNet: a generalized neural network architecture for Raman spectrum analysis
Published 2023“…RamanNet is immune to the invariance property in convolutional neural networks (CNNs) and at the same time better than traditional machine learning models for the inclusion of sparse connectivity. …”
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7
FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
Published 2022“…With the introduction of Convolutional Neural Networks (CNN), enables performing this task with acceptable performance. …”
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”
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9
Bridge Structural Health Monitoring Using Mobile Sensor Networks
Published 2022Get full text
doctoralThesis
