Sökning: "network performance"

Visar resultat 26 - 30 av 2958 uppsatser innehållade orden network performance.

1. 26. Machine learning for molecular property prediction and drug safety

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

   Författare :Kinga Jenei; [2023-10-23]
   Nyckelord :Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

   Sammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER

3. 27. Assessing Subsidiary Performance in a Multinational Context - A single case study investigating practical procedures for performance measurement and underlying factors for performance creation.

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Simon Anderberg; Simon Eliasson; [2023-07-18]
   Nyckelord :Performance; Subsidiary Measurement; Network Measurement; Capability Measurement; Performance Measurement System;

   Sammanfattning : The path for successful performance is uncertain for any corporation, where there is no concise definition of performance and the objective of the organisation. The uncertainties and challenges related to the management of Multinational Corporations (MNCs) complicates the performance assessment of subsidiaries. LÄS MER

4. 28. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

   Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Författare :Marko Plavetic; [2023-06-26]
   Nyckelord :benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

   Sammanfattning : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. LÄS MER

5. 29. Reconstruction of Radio Detector Data using Graph Neural Networks

   Master-uppsats, Uppsala universitet/Högenergifysik

   Författare :Arnau Serra Garet; [2023]
   Nyckelord :;

   Sammanfattning : The current neutrino detectors have been able to detect neutrinos in the range of TeV to 100 PeV, however, ultra high energy (UHE) neutrinos above 100 PeV still remain to be detected. A new neutrino detector, the RNO-G, is currently being constructed in Greenland with the purpose of detecting the first UHE neutrinos using radio antennas capable of measuring the Askaryan pulse generated after a neutrino interaction with the ice molecules. LÄS MER

7. 30. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

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

   Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Sammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER