Essays about: "mindre avvikelser"

Showing result 1 - 5 of 56 essays containing the words mindre avvikelser.

  1. 1. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

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

    Author : Sandra Tor; [2023]
    Keywords : Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE

  3. 2. An efficient deep reinforcement learning approach to the energy management for a parallel hybrid electric vehicle

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Mingwei Liu; [2023]
    Keywords : HEV; EMS; Deep Reinforcement Learning; Learning Efficiency; Fuel Efficiency; HEV; EMS; Djup Förstärkningsinlärning; Inlärningseffektivitet; Bränsleeffektivitet;

    Abstract : In contemporary world, the global energy crisis and raise of greenhouse gas concentration in atmosphere necessitate the energy conservation and emission reduction. Hybrid electric vehicles (HEVs) can achieve great promise in reducing fuel consumption and greenhouse gas emissions by appropriate energy management strategies (EMSs). READ MORE

  4. 3. Adopting Observability-Driven Development for Cloud-Native Applications : Designing End-to-end Observability Pipeline using Open-source Software

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

    Author : Chujie Ni; [2023]
    Keywords : Observability-driven Development; End-to-end observability; Open-source pipeline; OpenTelemetry; Kubernetes; Observerbarhetsdriven utveckling; observerbarhet från slut till slut; pipeline med öppen källkod; OpenTelemetry; Kubernetes;

    Abstract : As cloud-native applications become more distributed, complex, and unpredictable with the adoption of microservices and other new architectural components, traditional monitoring solutions are inadequate in providing end-to-end visibility and proactively identifying deviations from expected behaviour before they become disruptive to services. In response to these challenges, observability-driven development (ODD) is proposed as a new methodology that leverages tools and practices to observe the state and detect the behaviour of systems. READ MORE

  5. 4. Vibration Avoidance Based on Model-Based Control Incorporating Input Shaping

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Chenqi Ma; [2023]
    Keywords : Multi-joint industrial robot; Vibration avoidance; Path deviation; Input shaping; Extended flexible joint model; Nonlinear gray-box identification; Fleraxlade industrirobotar; Vibrationsdämpning; Banavvikelse; Ingångsformning; Utökad flexibel axelmodell; Icke-linjär gray-box modell;

    Abstract : VIBRATION AVOIDANCE, a technique to proactively remove unwanted or excessive vibrations in multi-joint industrial robots, has shown to be desired in various applications. A trade-off between vibration avoidance performance and path deviation has been thekey criteria for assessing the effectiveness and quality of an approach. READ MORE

  6. 5. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

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

    Author : Rémi Bourgerie; [2023]
    Keywords : 5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

    Abstract : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. READ MORE