Essays about: "RNN"

Showing result 1 - 5 of 73 essays containing the word RNN.

  1. 1. Machine Learning Based Beam Tracking in mmWave Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yizhan Yang; [2021]
    Keywords : Beam Tracking; Machine Learning; RNN; LSTM; Strålspårning; Maskininlärning; RNN; LSTM;

    Abstract : The demand for high data rates communication and scarcity of spectrum in existing microwave bands has been the key aspect in 5G. To fulfill these demands, the millimeter wave (mmWave) with large bandwidths has been proposed to enhance the efficiency and the stability of the 5G network. READ MORE

  2. 2. Experiments in speaker diarization using speaker vectors

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ming Cui; [2021]
    Keywords : Speaker Diarization; Embedding Extraction Module; Deep Learning; Supervised method; Unsupervised method; Talardiarisering; inbäddning av extraktionsmodul; djupinlärning; övervakad metod; oövervakad metod;

    Abstract : Speaker Diarization is the task of determining ‘who spoke when?’ in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. It has emerged as an increasingly important and dedicated domain of speech research. READ MORE

  3. 3. Sales Forecasting of Truck Components using Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Yeshwanth Reddy Gaddam; [2020]
    Keywords : Sales forecasting; Artificial Neural Networks; Long Short Term Memory; Multilayer Perceptron; Recurrent Neural Network.;

    Abstract : Background: Sales Forecasting plays a substantial role in identifying the sales trends of products for the future era in any organization. These forecasts are also important for determining the profitable retail operations to meet customer demand, maintain storage levels and to identify probable losses. READ MORE

  4. 4. How Certain Are You of Getting a Parking Space? : A deep learning approach to parking availability prediction

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Author : Mathias Nilsson; Sophie von Corswant; [2020]
    Keywords : monte carlo dropout; mc dropout; long short term memory; lstm; neural network; recurrent neural network; gradient tree boosting; rnn; gradient boosting regression tree; gbrt; quantile regression; traffic congestion; parking; parking occupancy; parking availability; parking space; parking lot; machine learning;

    Abstract : Traffic congestion is a severe problem in urban areas and it leads to the emission of greenhouse gases and air pollution. In general, drivers lack knowledge of the location and availability of free parking spaces in urban cities. READ MORE

  5. 5. Applying Machine Learning Methods to Predict the Outcome of Shots in Football

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Sara Hedar; [2020]
    Keywords : machine learning; neural networks; rnn; cnn; logistic regression; lstm; mlp; binary classification; imbalanced learning; football; football shots; shot predictions;

    Abstract : The thesis investigates a publicly available dataset which covers morethan three million events in football matches. The aim of the study isto train machine learning models capable of modeling the relationshipbetween a shot event and its outcome. That is, to predict if a footballshot will result in a goal or not. READ MORE