Essays about: "computer application use in business"

Showing result 1 - 5 of 16 essays containing the words computer application use in business.

  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

  3. 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

  4. 3. Managing Microservices with a Service Mesh : An implementation of a service mesh with Kubernetes and Istio

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

    Author : Ronja Mara Jösch; [2020]
    Keywords : Service mesh; Istio; Kubernetes; Microservices; Microservice Architecture; Cloud Computing; cloud-native;

    Abstract : The adoption of microservices facilitates extending computer systems in size, complexity, and distribution. Alongside their benefits, they introduce the possibility of partial failures. READ MORE

  5. 4. Time series monitoring and prediction of data deviations in a manufacturing industry

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Robin Lantz; [2020]
    Keywords : Machine learning; Supervised learning; Time series classification; Manufacturing industry; Production data; Data deviations; Support Vector Machine; K-Nearest Neighbours; Linear Regression; Decision Tree; Random Forest; Neural Network; Recurrent Neural Network; Computer Science; Maskininlärning; Tidsserier; Tillverkningsindustri; Klassificerare; Avvikelser;

    Abstract : An automated manufacturing industry makes use of many interacting moving parts and sensors. Data from these sensors generate complex multidimensional data in the production environment. This data is difficult to interpret and also difficult to find patterns in. READ MORE

  6. 5. Designing a Mobile User Interface for Crowdsourced Verification of Datasets

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

    Author : Jonathan Rintala; Erik Skogetun; [2018]
    Keywords : data quality; verification of data; machine learning; HCI; usability; gamification; GDH; Kenya; rapid serial visual presentation;

    Abstract : During the last decade machine learning has spread rapidly in computer science and beyond, and a central issue for machine learning is data quality. This study was carried out in the intersection of business and Human-Computer Interaction, examining how an interface may be developed for crowdsourced verification of datasets. READ MORE