Sökning: "Standard ML"

Visar resultat 1 - 5 av 90 uppsatser innehållade orden Standard ML.

  1. 1. 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

  3. 2. 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

  4. 3. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Författare :Erik Everett Palm; [2023]
    Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER

  5. 4. Elitjuniorer i bandy : En tvärsnittsstudie för att undersöka de fysiska karaktärsdragen hos unga bandyspelare

    Kandidat-uppsats, Gymnastik- och idrottshögskolan, GIH/Institutionen för fysiologi, nutrition och biomekanik

    Författare :Finn Persson; [2023]
    Nyckelord :tränarlänkbandy;

    Sammanfattning : Introduktion Bandy är en liten idrott som det har gjorts begränsat med forskning inom. Denforskning som har gjorts är närmast uteslutande på vuxna manliga elitspelare medan de fysiska karaktärsdragen hos unga bandyspelare är ett område som är outforskat. LÄS MER

  7. 5. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Henrik Träff; [2023]
    Nyckelord :Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Sammanfattning : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). LÄS MER