Essays about: "RNN"

Showing result 36 - 40 of 159 essays containing the word RNN.

  1. 36. Evaluation of the performance of machine learning techniques for email classification

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

    Author : Isabella Tapper; [2022]
    Keywords : Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

    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

  3. 37. Exploring the column elimination optimization in LIF-STDP networks

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

    Author : Mingda Sun; [2022]
    Keywords : SpikingNeuralNetwork SNN ; neuromorphiccomputing; memoryoptimization; Hebbian learning; Spike-timing-depend plasticity STDP learning; Spiking Neural Network SNN ; neuromorphic computing; minnesoptimering; Hebbisk inlärning; spike-timing-depend plasticity STDP inlärning;

    Abstract : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. READ MORE

  4. 38. Construction of a machine learning training pipeline for merging AIS data with external datasources

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Sami Said Yahya; [2022]
    Keywords : AI; Machine Learning; Deep learning; AIS; anomaly detection; RNN; Maritime Traffic;

    Abstract : Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issues hasbeen trained predominately on single data sources such as vessel positioning data. READ MORE

  5. 39. Day-ahead Grid Loss Forecasting : A study of linear and non-linear models when modelling electrical grid losses

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Alicia Söderlind; [2022]
    Keywords : Electrical grid losses; Mathematical modelling; ARIMAX; SARIMAX; Neural Networks;

    Abstract : Accurate day-ahead grid loss forecasts are, among other things, essential to determine the electricity price for the upcoming day. The more accurate forecast, the closer the trading on the 'day-ahead' electricity market can become the actual operation the next day, which dedcrease the need for correcting production on the balancing market. READ MORE

  6. 40. Energy Consumption of Browser-based Creative AI

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

    Author : Leonard Lund; Felix Blomkvist; [2022]
    Keywords : Creative AI; sustainable AI; sustainability of AI; Green AI; Google Magenta; browser-based AI; music AI; energy consumption of AI; efficiency of AI;

    Abstract : Creative AI in the music field has in recent years begun stepping out of the confines of academia and seen increased adoption among musicians thanks to developers launching consumer products powered by AI. These new tools are opening up new possibilities in music-making, but their increased use and development prompts inquiry regarding their sustainability. READ MORE