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Visar resultat 1 - 5 av 78 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. AI-based image generation: The impact of fine-tuning on fake image detection

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nick Hagström; Anders Rydberg; [2024]
    Nyckelord :Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Sammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER

  4. 3. Fire detector sensor nodes using Long Range (LoRa) radio communication : Branddetektorsensorer som använder Long Range (LoRa)

    M1-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Roney Yelda; [2023]
    Nyckelord :;

    Sammanfattning : Fire can be fatal, burning homes and forests and its emissions can pollute the air. To prevent these types of catastrophes, it will be necessary to develop a sensor module capable of detecting and alerting humans by sending a signal via a network called The Things Network (TTN). LÄS MER

  5. 4. LoRa Radio Performance Analysis Based on AVR-RSS2 and RIOT-OS for Indoor IoT Applications

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

    Författare :HongShuo Yi; Duosi Dai; [2023]
    Nyckelord :LoRa; Indoor IoT Internet of Things ; Signal strength; Round-trip time RTT ; Goodput; LoRaWAN device classes; AVR-RSS2; RIOT-OS; LoRa; Inomhus-IoT Internet of Things ; Signalstyrka; Rundresa-tid RTT ; Goodput; LoRaWAN klasser; AVR-RSS2; RIOT-OS;

    Sammanfattning : This thesis is dedicated to measuring the communication performance of LoRa technology in an indoor environment and providing insight into its potential application as an effective Internet of Things (IoT) communication solution in Low Power Wide Area Networks (LPWAN). Through careful experimentation and analysis, we assessed various transmission parameters such as spreading factor (SF), bandwidth (BW), Payload Length (PL), and LoRaWAN classes. LÄS MER

  7. 5. Performance Evaluation of LoRa networks for Air-to-Ground Communications

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

    Författare :Kiana Khorsandi; Sareh Jalalizad; [2023]
    Nyckelord :IoT; LPWAN; LoRaWan; UAV; LAP; Bit error rate; Line of sight;

    Sammanfattning : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. LÄS MER