Sökning: "artificial algorithms"

Visar resultat 1 - 5 av 435 uppsatser innehållade orden artificial algorithms.

  1. 1. Att implementera artificiell intelligens i nyhetsrummet : Journalistikens etiska dilemma och AI:s växande roll

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för medier och journalistik (MJ)

    Författare :Rasmus Fredriksson; Lucas Wu; [2024]
    Nyckelord :Journalism; artificial intelligence; ethical considerations; social responsibility; managerialism; fourth estate.;

    Sammanfattning : Today, there are several media-related companies that work to process and publish news using only artificial intelligence and algorithms, completely without any type of human intervention. The industry as a whole has seen a trend of replacing human journalists' daily tasks with generative AI, this in terms serves a greater sustainable economic resource management for many media companies. LÄS MER

  3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  4. 3. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER

  5. 4. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Woods; [2024]
    Nyckelord :Particle swarm optimization; indoor positioning system; machine learning; Wi-Fi; RSSI; RTT; artificial neural network; ADAM optimizer; Keras; TensorFlow;

    Sammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER

  7. 5. Indocyanine-green fluorescence imaging to detect anastomotic insufficiency after esophagectomy

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Författare :Love Kildetoft; [2024]
    Nyckelord :Fluorescence; Imaging; Indocyanine-green; ICG; Esophageal cancer; Physics; Photonics; Image Analysis; Blood Perfusion; Anastomotic leakage; Anastomotic insufficiency; Physics and Astronomy;

    Sammanfattning : This research project is concerned with the development of simulation models and image analysis algorithms, as well as instrumentation for characterizing anastomotic leakages after a patient has undergone surgery for esophageal cancer. Anastomotic leakage is a high-incidence complication after esophagectomy, a surgical procedure for esophageal cancer. LÄS MER