Essays about: "cnn"
Showing result 1 - 5 of 541 essays containing the word cnn.
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1. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. READ MORE
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2. Deep Learning Based Sentiment Analysis
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE
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3. Classifying Motion Patterns of Bikes using Machine Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Electric bikes have become ubiquitous in traffic, and with a growing user base and expensive prices, a demand for bike protection is increasing. Bike protection applications could include detecting and notifying the owner if their bike has been stolen or fallen over. READ MORE
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4. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. READ MORE
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5. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. READ MORE
