Sökning: "modellering arkitektur"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden modellering arkitektur.

  1. 1. Regression with Bayesian Confidence Propagating Neural Networks

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

    Författare :Raghav Rajendran Bongole; [2023]
    Nyckelord :Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER

  2. 2. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach

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

    Författare :Pengnan Chi; [2023]
    Nyckelord :Diffusion model; Traffic forecasting; Generative model; Image processing; Spatial temporal modelling; Diffusionsmodell; Trafikprognos; Generativ modell; Bildbehandling; Rumsligtemporal modellering;

    Sammanfattning : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. LÄS MER

  3. 3. Creating a Recommender Plug-In for Enterprise Architecture Models

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

    Författare :Sashikanth Raavikanti; [2022]
    Nyckelord :Enterprise Architecture; Archi; ArchiMate; Enterprise Modeling; Recommender Systems;

    Sammanfattning : Information Technology (IT) has evolved over the decades, where its role and impact have transitioned from being a tactical tool to a more strategic one for driving business strategies to transform organizations. The right alignment between IT strategy and business has become a compelling factor for Chief Information Officer (CIO)s where misalignment could lead to a degradation of organization performance and slow them down in the landscape of market competition. LÄS MER

  4. 4. Modeling of the primary sludge thickening process at a wastewater treatment plant with the use of machine learning

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

    Författare :Eric Bröndum; [2022]
    Nyckelord :Machine Learning; Stockholms Vatten och Avfall; Primary Sludge; Dewatering; Wastewater Treatment Plant; Simulation; time series prediction; Maskininlärning; Stockholms Vatten och Avfall; Primärslam; Förtjockning; Avloppsreningsverk; Simulering; Tidsserieprediktion;

    Sammanfattning : This thesis focuses on modeling the primary sludge in the thickening process at Henrikdals wastewater treatment plant in Stockholm, Sweden. The thickening process is one of the core processes at the wastewater treatment plant, where the goal is to thicken a residual product called primary sludge. LÄS MER

  5. 5. Performance Evaluation of Serverless Edge Computing for AI Applications : Implementation, evaluation and modeling of an object-detection application running on a serverless architecture implemented with Kubernetes

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

    Författare :Zihan Wang; [2022]
    Nyckelord :Edge computing; Serverless architecture; Artificial Intelligence; Object detection; Docker; Kubernetes; Queueing theory; Edge computing; Serverlös arkitektur; Artificiell Intelligens; Objektdetektering; Docker; Kubernetes; Queuing theory;

    Sammanfattning : Serverless edge computing is a distributed network and computing system in which the data is processed at the edge of the network based on serverless architecture. It can provide large-scale computing and storage resources with low latency, which are very useful in AI applications such as object detection. LÄS MER