Sökning: "low rank"

Visar resultat 1 - 5 av 124 uppsatser innehållade orden low rank.

1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Falk DIppel; [2023-10-23]
   Nyckelord :Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

   Sammanfattning : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. LÄS MER

3. 2. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

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

   Författare :Laura Galera Alfaro; [2023]
   Nyckelord :Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

   Sammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER

4. 3. Randomized Diagonal Estimation

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Niclas Joshua Popp; [2023]
   Nyckelord :Diagonal estimation; randomized numerical linear algebra; low-rank approximation; matrix functions; Diagonalestimering; randomiserad numerisk linjär algebra; lågrankad approximation; matrisfunktioner;

   Sammanfattning : Implicit diagonal estimation is a long-standing problem that is concerned with approximating the diagonal of a matrix that can only be accessed through matrix-vector products. It is of interest in various fields of application, such as network science, material science and machine learning. LÄS MER

5. 4. Specialist nurses’ Compassion Fatigue and related factors in the aftermath of COVID-19 : A correlation survey

   Magister-uppsats, Umeå universitet/Institutionen för omvårdnad

   Författare :Maria Spinola Pulido; Caroline Krylborn; [2023]
   Nyckelord :Compassion Fatigue; Compassion Satisfaction; Professional Quality of Life Scale; Perceived Organizational Support; turnover intention; Intensive Care Nurses; Nurse Anaesthetist; Empatitrötthet; medkänslatillfredsställelse; Professional Quality of Life Scale; upplevd organisatoriskt stöd; intention till egenuppsägning; Intensivvårdssjuksköterska; Anestesisjuksköterska.;

   Sammanfattning : Background: Intensive Care and Anaesthetists Nurses are, through their profession and the COVID-19 pandemic, predisposed to suffering from Compassion Fatigue (CF). CF develops as stressors exceed the ability to cope with the demands of caring and has been associated with organisational factors. LÄS MER

7. 5. Designing a Novel RPL Objective Function & Testing RPL Objective Functions Performance

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Khalil Mardini; Emad Abdulsamad; [2023]
   Nyckelord :Routing protocol for low-power and lossy networks RPL ; Wireless Sensor Networks WSN ; The Internet of Things IoT ; Objective Function OF ; Low-Power and Lossy Networks LLNs ; Expected Transmission Count ETX ; Min- imum Rank with Hysteresis Objective Function MRHOF ; Packet Delivery Ratio PDR ; Directed Acyclic Graph DODAG ;

   Sammanfattning : The use of Internet of Things systems has increased to meet the need for smart systems in various fields, such as smart homes, intelligent industries, medical systems, agriculture, and the military. IoT networks are expanding daily to include hundreds and thousands of IoT devices, which transmit information through other linked devices to reach the network sink or gateway. LÄS MER