Essays about: "shortterm memory"

Showing result 1 - 5 of 11 essays containing the words shortterm memory.

  1. 1. Demand Forecasting of Outbound Logistics Using Neural Networks

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Enobong Paul Otuodung; Gulten Gorhan; [2023]
    Keywords : Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

    Abstract : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. READ MORE

  3. 2. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Ishika Gupta; [2023]
    Keywords : Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

    Abstract : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. READ MORE

  4. 3. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  5. 4. Anomaly Detection on Embedded Sensor Processing Platform

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

    Author : Yichen Cao; [2021]
    Keywords : Anomaly Detection; ARIMA; STL; LSTM; VAR; Avvikelsedetektion; ARIMA; STL; LSTM; VAR;

    Abstract : Embedded platforms are often used as a sensor data processing node to collect data and transmit the data to the remote server. Due to the poor performance and power limitation, data processing was often left to the remote server. READ MORE

  6. 5. Effects of Network Size in a Recurrent Bayesian Confidence Propagating Neural Network With two Synaptic Traces

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

    Author : William Laius Lundgren; Ludwig Karlsson; [2021]
    Keywords : BCPNN; computational brain modelling; shortterm memory; sequential learning; hypercolumns;

    Abstract : A modular Recurrent Bayesian Confidence PropagatingNeural Networks (BCPNN) with two synaptic time tracesis a computational neural network that can serve as a modelof biological short term memory. The units in the network aregrouped into modules called hypercolumns within which there isa competitive winner-takes-all mechanism. READ MORE