Essays about: "Data Processing"

Showing result 1 - 5 of 2489 essays containing the words Data Processing.

  1. 1. Adherence in patients with heart failure. Relationships to symptom burden and hospitalization frequency : A cross-sectional survey study

    University essay from Malmö universitet/Institutionen för vårdvetenskap (VV)

    Author : Helen Moe; [2024]
    Keywords : Adherence; Cross sectional study; Heart failure; Hospitalization-frequency; Non-adherence; Symptom burden;

    Abstract : Aim: The aim of the study was to investigate the degree of adherence and non-adherence to treatment regimen in the population with heart failure, as well as to explore relationships to symptom burden and hospitalization-frequency. Introduction: Heart failure – a chronic disease with a somber prognosis and high mortality, incidence and prevalence increasing world-wide. READ MORE

  3. 2. AI: A helping hand for digital marketing agencies? : AI: En hjälpande hand för digitala marknadsföringsbyråer?

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

    Author : Hampus Ekman; Erik Strand; [2024]
    Keywords : GPT-3; Digital marketing; Artificial intelligence; Efficiency; Streamlining; Processes; Content generation.;

    Abstract : This study evaluates whether generative AI tools built on the language model GPT-3 can streamline the processes of digital marketing agencies. The method used for gathering qualitative data was two sets of semi-structured individual interviews with different digital marketing agencies. READ MORE

  4. 3. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds

    University essay from Lunds universitet/Matematik LTH

    Author : Vilma Ylvén; Oscar Montelin; [2024]
    Keywords : Technology and Engineering; Mathematics and Statistics;

    Abstract : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. READ MORE

  5. 4. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  6. 5. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    University essay from Högskolan i Gävle/Elektronik

    Author : Pradip Nath; [2024]
    Keywords : Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Abstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE