Essays about: "featureextraction"
Showing result 1 - 5 of 7 essays containing the word featureextraction.
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1. W2R: an ensemble Anomaly detection model inspired by language models for web application firewalls security
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Nowadays, web application attacks have increased tremendously due to the large number of users and applications. Thus, industries are paying more attention to using Web application Firewalls and improving their security which acts as a shield between the app and the internet by filtering and monitoring the HTTP traffic. READ MORE
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2. Voice Biometrics Exploring The Boundaries Of Speaker Verification
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Recent advancements in computational power, datasets and models have resulted in significant performanceincreases across various speech and speaker recognition models. This work investigates the capabilities ofusing voice as a biometric tool, namely what is referred to as speaker verification. READ MORE
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3. Activity Recognition Using Supervised Machine Learning and GPS Sensors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition has become a popular research topic among data scientists. Over the years, multiple studies regarding humans and their daily motion habits have been investigated for many different purposes. READ MORE
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4. Evaluation of Audio FeatureExtraction Techniques to ClassifySynthesizer Sounds
University essay from KTH/KommunikationsteoriAbstract : After many years focused on speech signal processing, the research in audio processing started to investigate the field of music processing. Music Information Retrieval is a very new topic steadily growing since a few years as music is more and more part of our daily life, particularly thanks to the new technologies like mp3 players and smartphones. READ MORE
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5. Detecting Epileptic Seizures : Optimal Feature Extraction from EEG for Support Vector Machines
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Epilepsy is a chronic neurological brain disorder causing the affected to have seizures.Looking at EEG recordings, an expert is able to identify epileptic activity and diagnosepatients with epilepsy. This process is time consuming and calls for automatization. Theautomation process is done through feature extraction and classification. READ MORE