Essays about: "Artifical Neural Networks"

Showing result 1 - 5 of 15 essays containing the words Artifical Neural Networks.

  1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

  2. 2. A machine learning approach leveraging technical- and sentiment analysis to forecast price movements in major crypto currencies

    University essay from KTH/Matematik (Avd.)

    Author : Ludvig Harting; Nils Åkesson; [2022]
    Keywords : Artifical Neural Network; Crypto; Sentiment Analysis; Twitter; Technical Analysis; Bitcoin; Ether; Litecoin; Artificiellt Neuronnät; Kryptovalutor; Sentimentsanalys; Twitter; Teknisk Analys; Bitcoin; Ether; Litecoin;

    Abstract : This paper uses a back-propagating neural network (BPN) to predict the price movements of major crypto currencies, leveraging technical factors as well as measurements of collective sentiment derived from the micro-blogging network Twitter. Our dataset consists of daily, hourly and minutely price levels for Bitcoin, Ether and Litecoin along with 8 popular technical indicators, as well as all tweets with the currencies' cash tags during respective time periods. READ MORE

  3. 3. Object detection for autonomous trash and litter collection

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

    Author : Simon Edström; [2022]
    Keywords : Object detection; Trash detection; Machine learning; Pipeline; Artifical neural networks; Deeplearning; Dataset; Preprocessing; Augmentation; Psuedolabel; Tiling; Objektdetektering; Skräpigenkänning; Maskininlärning; Pipeline; Artificiella neurala nätverk; Djupinlärning; Dataset; Förprocessering; Augmentation; Psuedomarkering; Kakling;

    Abstract : Trashandlitter discarded on the street is a large environmental issue in Sweden and across the globe. In Swedish cities alone it is estimated that 1.8 billion articles of trash are thrown to the street each year, constituting around 3 kilotons of waste. One avenue to combat this societal and environmental problem is to use robotics and AI. READ MORE

  4. 4. Predicting Coherent Turbulent Structures with Artificial Neural Networks

    University essay from KTH/Matematik (Avd.)

    Author : Daniel Schmekel; [2021]
    Keywords : Turbulent; Coherent turbulent structures; Machine learning; CNN; LSTM; Turbulens; Coherent turbulent structures; maskininlärning; CNN; LSTM;

    Abstract : Turbulent flow is widespread in many applications, such as airplanes or cars. Such flow is characterized by being highly chaotic and impossible to predict far into the future. In turbulent flow, there exist regions that have different properties compared to neighboring flow; these regions are called coherent turbulent structures. READ MORE

  5. 5. Evaluating the quality of 3D character animation produced by artificial neural networks : A user study

    University essay from

    Author : Ossian Edström; [2020]
    Keywords : Machine Learning; Neural Networks; Character Animation; Perception;

    Abstract : Background. In recent years the use of Artifical Neural Networks(ANN) to generate character animations have expanded rapidly. However comparisons of the perceived realism and quality of these new approaches when compared to the results of a traditional pipeline have been lacking or non-existent. Objectives. READ MORE