Sökning: "predictive analysis"

Visar resultat 16 - 20 av 519 uppsatser innehållade orden predictive analysis.

  1. 16. Sales forecasting for supply chain using Artificial Intelligence

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Vaibhav Mittal; [2023]
    Nyckelord :AI; sales forecasting; supply chain; predictive analytics; AI; försäljningsprognoser; supply chain; predictiv analys;

    Sammanfattning : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. LÄS MER

  3. 17. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Max Aronsson; Anna Folkesson; [2023]
    Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER

  4. 18. Real-time Energy Performance Tracking

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Huu Thien Nguyen; [2023]
    Nyckelord :;

    Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER

  5. 19. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Eddie Nevander Hellström; Johan Slettengren; [2023]
    Nyckelord :;

    Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER

  7. 20. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Mahta Keivani Najafabadi; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). LÄS MER