Sökning: "sustainable networks"

Visar resultat 1 - 5 av 431 uppsatser innehållade orden sustainable networks.

  1. 1. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Venkat Sai Akhil Dasyam; Saketh Pokuri; [2024]
    Nyckelord :Wireless Sensor Networks; Monitoring and Control; Precision Beekeeping; Disease spread; Internet of Things.;

    Sammanfattning : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. LÄS MER

  3. 2. 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

  4. 3. LP_MQTT - A Low-Power IoT Messaging Protocol Based on MQTT Standard

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Anchu Antony; Deepthi Myladi Kelambath; [2024]
    Nyckelord :;

    Sammanfattning : In the Internet of Things (IoT) era, the MQTT Protocol played a bigpart in increasing the flow of uninterrupted communication betweenconnected devices. With its functioning being on the publish/subscribe messaging system and having a central broker framework, MQTTconsidering its lightweight functionality, played a very vital role inIoT connectivity. LÄS MER

  5. 4. SVENSKARS ATTITYDER KRING INSEKTKONSUMTION : En enkätstudie med entomophagy attitude questionnaire

    Kandidat-uppsats, Umeå universitet/Institutionen för kost- och måltidsvetenskap

    Författare :Karl Ernlund; Oscar Sumelius; [2024]
    Nyckelord :entomophagy; EAQ; entomophagy attitude questionnaire; insects; insect; insect consumtion; consumtion; survey; insektskonsumtion; entomofagi; attityder; insekter; insekt; svenskars; konsumtion; undersökning; enkät;

    Sammanfattning : Insektkonsumtion, det vill säga entomofagi, har kommit i rampljuset på senare tid, då insekter ses som ett hållbart livsmedelsalternativ. Insekter har länge konsumerats i delar av världen men varit associerat med neofobi och äckel i västvärlden. Syftet med denna studie är att undersöka vuxna svenskars attityder kring entomofagi. LÄS MER

  7. 5. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Författare :Khalid El Yaacoub; [2024]
    Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER