Essays about: "ML estimation"
Showing result 16 - 20 of 32 essays containing the words ML estimation.
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16. Channel Equalization Using Machine Learning for Underwater Acoustic Communications
University essay from Linköpings universitet/KommunikationssystemAbstract : Wireless underwater acoustic (UWA) communications is a developing field with various applications. The underwater acoustic communication channel is very special and its behavior is environment-dependent. The UWA channel is characterized by low available bandwidth, and severe motion-introduced Doppler effect compared to wireless radio communication. READ MORE
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17. GANChat : A Generative Adversarial Network approach for chat bot learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and shown potential in other generative machine learning tasks as well. GAN training is an adversarial training method where two neural networks compete and attempt to outperform each other, and in the process they both learn. READ MORE
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18. Real-time imaging of cerebrospinal fluid flow physiology at 7T
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Background The cerebrospinal fluid (CSF) is involved in several diseases and patho- physiological states, such as Alzheimer’s disease and hydrocephalus. Previous studies CSF dynamics in the brain show that the flow of the CSF depends on cardiac pulsation, time of day and respiration. READ MORE
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19. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic
University essay from KTH/Matematisk statistikAbstract : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. READ MORE
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20. Artificial intelligence to model bedrock depth uncertainty
University essay from KTH/Jord- och bergmekanikAbstract : The estimation of bedrock level for soil and rock engineering is a challenge associated to many uncertainties. Nowadays, this estimation is performed by geotechnical or geophysics investigations. These methods are expensive techniques, that normally are not fully used because of limited budget. READ MORE
