Essays about: "adaptiva modeller"

Showing result 1 - 5 of 14 essays containing the words adaptiva modeller.

  1. 1. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

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

    Author : Mikaela Gärde; [2023]
    Keywords : video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

    Abstract : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. READ MORE

  3. 2. Interactive or textual explanations? : Evaluation of two explanatory approaches within in-vehicle adaptive systems.

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

    Author : Gabriele Carollo; [2023]
    Keywords : Explainable artificial intelligence; human machine interaction; Förklarlig artificiell intelligens; interaktion mellan människa och maskin;

    Abstract : Adaptiva system är idag en viktig resurs för att kunna utföra vardagliga uppgifter och tillgodose användarnas behov med personliga anpassningar. Sådana system är vanligtvis baserade på modeller som förlitar sig på komplexa algoritmer för artificiell intelligens som gör att systemets beteende uppfattas som ogenomskinligt för användarna. READ MORE

  4. 3. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

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

    Author : Jinchen Liu; [2023]
    Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

    Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

  5. 4. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models

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

    Author : Rikard Fridsén Skogsberg; [2022]
    Keywords : Multi-Objective Reinforcement Learning; Radio Resource Scheduling; Deep Q-Networks; Single-policy; Multi-policy; Scalarization.; Flermåls förstärkningsinlärning; Radio resurs schemaläggning; Djupa Q-nätverk; Enskilt mål; Flermål;

    Abstract : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. READ MORE

  6. 5. An Adaptive IMM-UKF method for non-cooperative tracking of UAVs from radar data

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

    Author : Hólmfrídur Elvarsdottir; [2022]
    Keywords : Radar tracking; Kalman filters; UAV Unmanned Arial Vehicle ; IMM Interacting Multiple Model ; Nonlinear filters; Radar spårning; Kalmanfilter; Obemannade luftfarkoster; IMM Interacting Multiple Model ; Olinjära filter;

    Abstract : With the expected growth of Unmanned Aerial Vehicle (UAV) traffic in the coming years, the demand for UAV tracking solutions in the Air Traffic Control (ATC) industry has been incentivized. To ensure the safe integration of UAVs into airspace, Air Traffic Management (ATM) systems will need to provide a number of services such as UAV tracking. READ MORE