Browsing by Subject "deep learning"
Now showing items 1-20 of 31
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A review of motion planning algorithms for intelligent robots
(Springer Science and Business Media LLC, 2022)Principles of typical motion planning algorithms are investigated and analyzed in this paper. These algorithms include traditional planning algorithms, classical machine learning algorithms, optimal value reinforcement ...Tieteelliset aikakauslehtiartikkelit
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Accurate Deep Learning-Based Sleep Staging in a Clinical Population with Suspected Obstructive Sleep Apnea
(Institute of Electrical and Electronics Engineers (IEEE), 2019)The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring of sleep stages is time-consuming, ...Tieteelliset aikakauslehtiartikkelit
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Anomaly Detection in Deep Learning by Utilizing AI-Based Computer Vision Techniques and Django Framework
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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Artificial Intelligence for Real-Time Strategy Games using Deep Reinforcement Learning
(Itä-Suomen yliopisto; University of Eastern Finland, 2023)info:eu-repo/semantics/masterThesis
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Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases
(Elsevier BV, 2021)Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imaging (MRI) studies, and these common procedures are usually performed manually. We present Multi-task U-Net (MU-Net), a ...Tieteelliset aikakauslehtiartikkelit
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Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
(Springer International Publishing, 2019)Manual segmentation of rodent brain lesions from magnetic resonance images (MRIs) is an arduous, time-consuming and subjective task that is highly important in pre-clinical research. Several automatic methods have been ...Artikkelit tieteellisissä kokoomateoksissa
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Bringing Visibility to Workflow Processes via Topic Modeling with BERT Transformer Models
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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Data Augmentation Methods for Deep Learning Neural Networks
(Itä-Suomen yliopisto; University of Eastern Finland, 2023)info:eu-repo/semantics/masterThesis
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Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
(Oxford University Press (OUP), 2020)Study Objectives Accurate identification of sleep stages is essential in the diagnosis of sleep disorders (e.g. obstructive sleep apnea [OSA]) but relies on labor-intensive electroencephalogram (EEG)-based manual scoring. ...Tieteelliset aikakauslehtiartikkelit
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Deep Learning for the classification of plants with natural colourants
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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Deep Learning For The Classification Of Various Snakes
(Itä-Suomen yliopisto; University of Eastern Finland, 2024)info:eu-repo/semantics/masterThesis
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Deep Learning Neural Network Based on Image Filters
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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Deep Learning-Based Time Series Prediction Techniques
(Itä-Suomen yliopisto; University of Eastern Finland, 2024)info:eu-repo/semantics/masterThesis
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Domain-Augmented Meta-Learning for Generalizable Deepfake Detection
(Itä-Suomen yliopisto; University of Eastern Finland, 2024)info:eu-repo/semantics/masterThesis
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Exploring Bird Species Recognition from Audio with Deep Learning: A literature review
(Itä-Suomen yliopisto; University of Eastern Finland, 2023)info:eu-repo/semantics/masterThesis
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Human-cognition-inspired deep model with its application to ocean wave height forecasting
(Elsevier Ltd, 2023)Ocean wave height (OWH) forecasting is indispensable but challenging task since that the series evolution involves mixed effects of numerous factors. However, most deep models only focus on nonlinear fitting in the data ...
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Hybrid CNN-Integrated LSTM for Fault Detection and Diagnosis of Wind Turbines
(Itä-Suomen yliopisto; University of Eastern Finland, 2024)info:eu-repo/semantics/masterThesis
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Identification of Brain Tumor using Hyperspectral Images processed through Artificial Intelligence
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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Improving a deep learning model via feature distribution adapted data
(Itä-Suomen yliopisto; University of Eastern Finland, 2021)info:eu-repo/semantics/masterThesis
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Integrating Machine Learning Into the K-12 Curriculum: The Case for Finland
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis