Essays about: "Application of computer in science area"

Showing result 1 - 5 of 11 essays containing the words Application of computer in science area.

  1. 1. Using a GIS to enable an economic, land use and energy output comparison between small wind powered turbines and large-scale wind farms: the case of Oslo, Norway.

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Colin Potter; [2023]
    Keywords : Geography; GIS; Wind power; Renewable energy sources; urban wind energy; urban areas; planning; vertical axis wind turbines; comparative studies; urban integrated energy systems; Oslo; Roan; Earth and Environmental Sciences;

    Abstract : Responding to an identified knowledge gap, the study aims to determine if smaller wind turbines located on top of existing urban buildings are more resource efficient (land utilization and economically) than large scale wind farms. To answer this question, using a GIS, the resource efficiency of the Roan wind farm in Northern Norway was compared to a theoretical modeled installation of small-scale wind turbines on top of buildings within a 2km radius study zone in central Oslo. READ MORE

  2. 2. Modelling Customer Lifetime Value in the Retail Banking Industry

    University essay from KTH/Matematisk statistik

    Author : Max Völcker; Carl Stenfelt; [2021]
    Keywords : CLV; Statistics; applied mathematics; marketing; machine learning; markov chains; CART; random forest; retail banking; CLV; Statistik; tillämpad matematik; marknadsföring; maskininlärning; markovkedjor; CART; random forest; banksektorn;

    Abstract : This thesis was conducted in cooperation with the Swedish bank SEB, who expressed interest in getting an increased understanding of how the marketing measure Customer Lifetime Value could be implemented and used in the retail banking industry. Accordingly, the purpose of this thesis was to provide insight into how Customer Lifetime Value could be modelled in an appropriate way in the retail banking industry and provide an increased understanding of necessary considerations for the modelling process. READ MORE

  3. 3. Avoiding Catastrophic Forgetting in Continual Learning through Elastic Weight Consolidation

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

    Author : Anton Evilevitch; Robert Ingram; [2021]
    Keywords : Image classification; DenseNet; Elastic Weight Consolidation; Catastrophic Forgetting; CIFAR100; Bildklassifiering; DenseNet; Elastic Weight Consolidation; Catastrophic Forgetting; CIFAR100;

    Abstract : Image classification is an area of computer science with many areas of application. One key issue with using Artificial Neural Networks (ANN) for image classification is the phenomenon of Catastrophic Forgetting when training tasks sequentially (i.e Continual Learning). READ MORE

  4. 4. Traffic Sign Recognition Using Machine Learning

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

    Author : Sharif Sharif; Joanna Lilja; [2020]
    Keywords : Traffic sign detection; Machine Learning; Image Recognition; Object Identification; Igenkänning av trafikskyltar; Maskininlärning; Bildigenkänning; Objektidentifikation;

    Abstract : Computer vision is an area in computer science that attempts to give computers the ability to see and recognise objects using varying sources of input, such as video or pictures. This problem is usually solved by using artificial intelligence (AI) techniques. The most common being deep learning. READ MORE

  5. 5. A tool to facilitate the development of Mocap applications using IMUs - Design and Prototyping

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

    Author : Mahamed Hassan Mahamed; Carlos Pablo Cano Martinez; [2019]
    Keywords : MOCAP; IMU; Computer Science; Prototyping;

    Abstract : This paper presents to find a solution, by designing a tool that could be used as a framework for the development of Motion Capture applications (Mocap) which is using with inertial Measurement Units (IMUs). Our main objective is how to find a tool that would be extremely fascinated and improved the accessibility to the development of Motion Capture applications. READ MORE