Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"convolutional neural nets"”.
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Applied Plankton Image Classification for Imaging FlowCytobot Data
… images of plankton gathered by the IFCB - Convolutional Neural Nets (CNNs), Vision Transformers (ViT), and self-supervised learning (MAE). The benefits and downsides of each model are analyzed and discussed for future IFCB operators to process their data using the methods that best align …
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Climatic, environmental, and phenological analyses of diverse lowland neotropical pollen rain data using ecoinformatic and machine learning tools
… pollen rain, a machine learning method using convolutional neural nets was developed to fully automate the process of pollen identification.
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Power efficient machine learning-based hardware architectures for biomedical applications
… binarized digital hardware technique. Neural network models, such as feedforward, convolutional neural nets, residual networks, and other popular machine learning and deep neural networks, are selected to benchmark the proposed model architecture. Various deep compression learning …
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Improving utilization, granularity, and interpretability in visual representation learning
… latent component analysis (PLCA) into deep convolutional neural nets (CNNs). Hence we call our method Deep PLCA. Intuitively, PLCA decomposes image data into local structures (kernels), and their spatial locations (latent components). Compared to PLCA, Deep PLCA achieves the same …
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Universal approximation of input-output maps and dynamical systems by neural network architectures
It is well known that feedforward neural networks can approximate any continuous function supported on a finite-dimensional compact set to arbitrary accuracy. However, many engineering applications require modeling infinite-dimensional functions, such as sequence-to-sequence transformations or …