Sökning: "Deeplearning"

Visar resultat 1 - 5 av 23 uppsatser innehållade ordet Deeplearning.

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. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Egemen Yiğit Kömürcü; [2023]
   Nyckelord :;

   Sammanfattning : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. LÄS MER

4. 3. Data Driven Augmentation for Deep Learning Applications

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Sanna Severinsson; [2023]
   Nyckelord :;

   Sammanfattning : Deep learning models are achieving remarkable performance on numerous tasks across various fields and applications. However, current deep learning models often suffer from overfitting and are therefore heavily reliant on regularization techniques such as data augmentation. LÄS MER

5. 4. A deep learning approach for drilling tool condition monitoring in Raiseboring

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Hedaya Alyousif; [2023]
   Nyckelord :drilling tool condition; deep learning; drilling signals; CNN; spectrogram; Raisboring;

   Sammanfattning : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. LÄS MER

7. 5. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

   Författare :Fehmi Ayberk Uçkun; [2023]
   Nyckelord :3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

   Sammanfattning : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. LÄS MER