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Visar resultat 1 - 5 av 830 uppsatser som matchar ovanstående sökkriterier.

  1. 1. ‘‘ JAG VET INTE RIKTIGT VAD JAG SKA TRO! ’’. En kvalitativ studie i ungdomars förhållningssätt till desinformation på sociala medier

    Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

    Författare :Johanna Kolflaath; [2024-03-01]
    Nyckelord :Desinformation; Ungdomar; Mediekompetens; Nyhetsnavigering; Sociala Medier;

    Sammanfattning : Disinformation, i.e. intentionally false content disseminated with the aim of reaching a particular group to influence their views on a topic or issue, has become increasingly common with the rise of digital media and a clear threat to democratic values, according to research. LÄS MER

  3. 2. ”Är det detta du menar? – Nej, det är det verkligen inte!” En analys av konsumenters missnöje vid möten med chatbots i kundtjänst

    Kandidat-uppsats, Lunds universitet/Företagsekonomiska institutionen

    Författare :Annie Bolmgren; Emma Axelsson; Julia Krusell; [2024]
    Nyckelord :Keywords: Chatbots; customer service; service quality; dissatisfaction; frustration; Technology and Engineering; Business and Economics;

    Sammanfattning : Chatbots are increasingly being adapted as substitutes to humans in customer service. As the level of adoption increases, it becomes more important to understand the phenomenon of robots replacing humans – a new chapter in the rising digital world. LÄS MER

  4. 3. De har samma temperatur, men den här är kallare : En kvalitativ studie om mellanstadieelevers förståelse av det fysikaliska fenomenet värmeledning

    Uppsats för yrkesexamina på avancerad nivå, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Mikael Nilsson; Helen Blomqvist; [2024]
    Nyckelord :heat conduction; primary school; practical activity; thermal camera; värmeledning; mellanstadiet; praktisk aktivitet; värmekamera;

    Sammanfattning : The study identifies a specific problem area related to students' misconceptions about heat and heat conduction. The aims of the study are to contribute knowledge about how practical activities with thermal cameras impact the interaction and understanding of heat conduction among intermediate-grade students. LÄS MER

  5. 4. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  7. 5. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sally Vizins; Hanna Råhnängen; [2024]
    Nyckelord :Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Sammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER