Essays about: "Bidirectional recurrent neural network"
Showing result 1 - 5 of 11 essays containing the words Bidirectional recurrent neural network.
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1. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE
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2. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. READ MORE
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3. Efficient Music Thumbnailing for Genre Classification
University essay from KTH/Matematisk statistikAbstract : For music genre classification purposes, the importance of an intelligent and content-based selection of audio samples has been mostly overlooked. One common approach toward representative results is to select samples at predetermined locations. This is done to avoid analysis of the full audio during classification. READ MORE
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4. Evaluation of the performance of machine learning techniques for email classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. READ MORE
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5. Machine Learning for Radar in Health Applications : Using machine learning with multiple radars to enhance fall detection
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Two mm-wave frequency modulated continuous wave (FMCW) radars were combined with a recurrent neural network (RNN) to perform fall detection. The purpose was to find methods to implement a multi-radar setup for healthcare monitoring and to study the resulting models’ resilience to interference and other obstacles, such as re-arranging the radars in the room. READ MORE