Essays about: "network relationships"

Showing result 21 - 25 of 415 essays containing the words network relationships.

1. 21. Convivial Construction

   University essay from KTH/Arkitektur

   Author : Hannah Sheerin; [2023]
   Keywords : circular economy; material culture; the rural; collective living; contemporary vernacular;

   Abstract : This thesis sits at the relationship between an architecture, and the landscape that produces and is produced by that architecture, recognising that the way we build is often profoundly damaging to the land and its inhabitants, not only at the site of construction but across a vast network of extraction, transportation and processing. We need a new material culture that rethinks of the built environment as an extension of the wider ecosystem and social context, able to be maintained in good health through a symbiotic, seasonal and regenerative cycle of matter and energy. READ MORE

3. 22. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Suresh Rishi Nandan; [2023]
   Keywords : Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

   Abstract : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. READ MORE

4. 23. EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Muhammad Junaid Haris; [2023]
   Keywords : GAN; Generative Adversarial Network; VQ-VAE; Vector Quantized Variational AutoEncoder; AutoEncoder; VAE; Time Series; Synthesizing; Data Synthesis;

   Abstract : Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation behind this work is to address the limitations of existing generative models in accurately capturing the underlying structure and patterns of time series data, especially when dealing with categorical features. READ MORE

5. 24. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simon Ekman von Huth; [2023]
   Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

6. 25. USING ARTIFICIAL NETWORKS IN COMPLEX PROBLEMS ANALYSING PARAMETERS INFLUENCE

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Shukri Birol Mehmed; [2023]
   Keywords : Artificial Intelligence AI ; Neural Networks; MLP; Complex Problem; Parameter; Analysis; Football;

   Abstract : Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Artificial Neural Networks (ANNs), have been used across various complex problem domains for solving problems. ANNs can learn complex patterns and capture non-linear relationships between parameters. READ MORE