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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 20 of 189 for “"Convolutional neural network (CNN)"”.

  1. Applying Neural Networks for Tire Pressure Monitoring Systems

    Kost, Alex2018

    … monitoring system is developed using neural net- works to identify the tire pressure of a vehicle tire. A quarter-car model was developed with Matlab and Simulink to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network …

    calpoly Repository record

  2. Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells

    Msipa, Sibongiseni LetticiaDepartment of Integrative Biomedical Sciences (IBMS)2025

    … aim of this study is to comparatively evaluate convolutional neural network (CNN) architectures and Transformer- based models for the multi-label classification of protein subcellular localization in eukaryotic cells, using large-scale immunofluorescence image datasets. Methods: In this study, …

    cape-town Repository record

  3. Lipreading with convolutional and recurrent neural network models

    Zhu, TianyilinUniversity of Illinois at Urbana-Champaign2017

    … by a talking head, given only the video using neural network classification models. Two neural network architectures are developed and tested on the AVICAR dataset, including one convolutional neural network (CNN) model with fully connected classification layer, and one recurrent neural network …

    uiuc Repository record

  4. A Comprehensive Analysis of Deep Learning for Interference Suppression, Sample and Model Complexity in Wireless Systems

    Oyedare, Taiwo RemilekunVirginia Tech2024

    … successful implementation. Next, we investigate convolutional neural network (CNN) architectures for interference and transmitter classification tasks. In particular, we utilize a CNN architecture to classify interference, investigate model complexity of CNN architectures for classifying …

    vt Repository record

  5. Investigations into the role of entropy-selected RF-DNA fingerprint features on ID-verification performance in the presence of rogue emitters

    Mohammed, Awab2025

    … obtained results demonstrate the success of a Convolutional Neural Network (CNN) in verifying the identities of all authorized emitters at an accuracy rate of 95% or higher. Additionally, the CNN effectively detects and rejects all twelve rogue attacks with an accuracy rate of 89% or better, at …

    utc Repository record

  6. Visual Speech Recognition Using a 3D Convolutional Neural Network

    Rochford, Matthew2020

    … feature cubes of lip data from videos and a 3D convolutional neural network (CNN) architecture for performing classification on a dataset of 100 spoken words, recorded in an uncontrolled envi- ronment. Our 3D-CNN architecture achieves a testing accuracy of 64%, comparable with recent works, but …

    calpoly Repository record

  7. Vision-Based Aerial Navigation Using Satellite Offline Maps

    Kempf, LudwigVirginia Tech2026

    … offline satellite maps and an ensemble of Convolutional Neural Network (CNN) models to estimate 2D offsets and associated uncertainty for stable EKF fusion. The system is designed for seamless integration with the PX4 Autopilot and real-time operation on resource-limited platforms. Software …

    vt Repository record

  8. Uncertainty-aware fusion of foundation and task-specific models for cardiac MRI segmentation

    Rumman, MosarratUniversity of Ontario Institute of Technology2026

    … challenging structures. In contrast, convolutional neural network (CNN)-based models achieve high accuracy on domain-specific data but struggle to generalize to unseen data. To address these complementary limitations, we propose an uncertainty-aware fusion framework that integrates the …

    uoit Repository record

  9. Multi-character prediction using attention

    Baeenh, MohmmedUniversity of Ontario Institute of Technology2020

    … task. The image is first passed through a Convolutional Neural Network (CNN) that serves as feature extractor. Then at each Recurrent Neural Network (RNN) time step, the attention mechanism attends to the relevant features sequentially to make predictions. The attention mechanism also …

    uoit Repository record

  10. Neural Network Guided Evolution of L-system Plants

    Xuhao(Eric), ChenBrock University2021

    … algorithm that evolves expressions. A convolutional neural network(CNN) is a type of neural network which is useful for image recognition and classification. The goal of this thesis will be to generate different styles of L-system based 2D images of trees from scratch using genetic …

    brock Repository record

  11. Deep learning approach to metagenomic binning

    Chung, Ryan Kyong-docMassachusetts Institute of Technology2018

    … needed to identify novel species. We propose a convolutional neural network (CNN) based approach to metagenomic binning that embeds reads into a low-dimensional vector space based on taxonomic classification. We show that our method can get the speed and sensitivity necessary taxonomic …

    mit Repository record

  12. An Energy-Efficient Spiking CNN Implementation for Cross-Patient Epileptic Seizure Detection

    Farshadfar, Parsa2022

    … The produced images are then sent into a convolutional neural network (CNN) as inputs. Our convolutional neural network as a deep learning method learns a general spatially irreducible representation of a seizure to improves sensitivity, specificity, and accuracy results comparable to the …

    york Repository record

  13. Visualization of Deep Convolutional Neural Networks

    Li, Dingwen2016

    … scene recognition tasks, especially after the Convolutional Neural Network (CNN) model was introduced. Although a CNN often demonstrates very good classification results, it is usually unclear how or why a classification result is achieved. The objective of this thesis is to explore several …

    wustl Repository record

  14. Entropy aided RF-DNA fingerprint learning from Gabor-based images

    Taha, Mohamed Alfatih2024

    … and accelerated using the Deep learning (DL) Convolutional Neural Network (CNN). While the classification accuracy has been improved from using raw signals learning the amount of data generated is large and computationally expensive. This work investigate the usage of statistical thresholds …

    utc Repository record

  15. Learning Activities From Human Demonstration Videos

    Lee, Jangwon[Bloomington, Ind.] : Indiana University2018

    … as those of intelligent agents. We present new Convolutional Neural Network (CNN) based approaches to learn the spatial/temporal structure of the demonstrated human actions, and use the learned structure and models to analyze human behaviors in new videos. We then demonstrate intelligent systems …

    iu Repository record

  16. Towards practical neural network meta-modeling

    Baker, BowenMassachusetts Institute of Technology2017

    … the topic of efficient automated procedures for convolutional neural network (CNN) architecture search. We first introduce a novel approach for CNN architecture architecture using Q-learning, a popular value iteration algorithm from the reinforcement learning community for sequential decision …

    mit Repository record

  17. Deploying fast object detection for micro aerial vehicles

    Villanueva, Nicholas FlorentinoMassachusetts Institute of Technology2018

    … present an evaluation of four state of the art convolutional neural network (CNN) object detectors, and a method to incorporate temporal information into an object detection pipeline for a micro aerial vehicle (MAV). This work was done as part of the Defense Advanced Research Projects Agency's …

    mit Repository record

  18. Correlating Displacement Sensors and In-Situ Optical Imaging for the Layer Management in a Laser Powder Bed Fusion Process

    Sabarad, Satvik IrappaMassachusetts Institute of Technology2022

    … with the camera images. The second method, (Convolutional Neural Network (CNN) based machine learning model), classified the images with 94% accuracy. Both of these methods were deployed on the machine by creating a user-friendly interface.

    mit Repository record

  19. Unsupervised Learning of Spatiotemporal Features by Video Completion

    Nallabolu, Adithya ReddyVirginia Tech2017

    … the spatiotemporal features by training a 3D convolutional neural network (CNN) using video completion as a surrogate task. Using a large collection of unlabeled videos, we train the CNN to predict the missing pixels of a spatiotemporal hole given the remaining parts of the video through …

    vt Repository record

  20. Multi-Modal Ocular Recognition in presence of occlusion in Mobile Devices

    Mohammad, Ahmad SaeedUniversity of Missouri -- Kansas City2018

    … for eyeglasses frame detection using different Convolutional Neural Network (CNN) structures that are applied to Frame Bridge region and extended ocular region. The best CNN model obtained an overall accuracy of 99.96% for ROI consisting of Frame Bridge. Moreover, two schemes of eyeglasses …

    umkc Repository record

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