Essays about: "CNN"
Showing result 26 - 30 of 649 essays containing the word CNN.
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26. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE
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27. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
University essay from KTH/FysikAbstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE
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28. Efficient CNN-based Object IDAssociation Model for Multiple ObjectTracking
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : .... READ MORE
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29. Demand Forecasting of Outbound Logistics Using Neural Networks
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. READ MORE
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30. Adversarial Machine (Deep) Learning-basedRobustification in 5G Networks
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : A significant development in wireless communication and artificial intelligence has been made possible by the combination of 5G networks with deep learning methods. This paper explores the complex interactions between these areas, concentrating on the dangers that adversarial attacks represent in the context of 5G network slicing. READ MORE