Sökning: "Network Performance Parameters"

Visar resultat 1 - 5 av 379 uppsatser innehållade orden Network Performance Parameters.

1. 1. Assessing the Effectiveness of Urban Trees with Skeletal Soils in Flood Risk Mitigation

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Molly Boberg; [2024]
   Nyckelord :Flood Management; Climate Adaptation; Nature-Based Solutions NBS ; Urban Trees; Skeletal Soil; Hydrologic Modelling; MIKE; Översvämningshantering; Klimatanpassning; Naturbaserade lösningar; Stadsträd; Skelettjord; Hydrologisk modellering; MIKE;

   Sammanfattning : With increased urbanization and climate change, heavy rainfall events and urban floods are becoming more frequent. To meet the demands for effective climate adaptation strategies and mitigation measures, Nature-Based Solutions (NBS) have received increased attention. LÄS MER

3. 2. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

   Författare :Xinchen Wang; [2024]
   Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

4. 3. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

   Master-uppsats, Uppsala universitet/Matematiska institutionen

   Författare :Irina Zarankina; [2023]
   Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

   Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER

5. 4. Performance of 2-18 GHz RF Switches Implemented in Chip & Wire Technology : Analysis of switch topologies, bias networks and an in-depth EM analysis of bondwires

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

   Författare :Gustav Eliasson; [2023]
   Nyckelord :RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; High isolation; Single-Pole-Single-Throw; Single-Pole-Double-Throw RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; Single-Pole-SingleThrow; Single-Pole-Double-Throw; RF-omkopplare; PIN-diod; Chip Wire Tekonologi; Bredbandig; Hög isolation; Enkelpolig-enkakast; Enkelpolig-dubbelkast;

   Sammanfattning : The ability to control the path a signal takes through microwave circuitry is crucial when designing RF systems. The component that allows for the control of the signal path is called a switch, and it is the microwave component that this thesis will focus on. LÄS MER

7. 5. On Linear Mode Connectivity up to Permutation of Hidden Neurons in Neural Network : When does Weight Averaging work?

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

   Författare :Adhithyan Kalaivanan; [2023]
   Nyckelord :Mode Connectivity; Representation Learning; Loss Landscape; Network Symmetry; Lägesanslutning; representationsinlärning; förlustlandskap; nätverkssymmetri;

   Sammanfattning : Neural networks trained using gradient-based optimization methods exhibit a surprising phenomenon known as mode connectivity, where two independently trained network weights are not isolated low loss minima in the parameter space. Instead, they can be connected by simple curves along which the loss remains low. LÄS MER