Essays about: "Mobile Architecture"

Showing result 1 - 5 of 239 essays containing the words Mobile Architecture.

  1. 1. Evaluation of deep learning methods for industrial automation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Ragnar Onning; [2023]
    Keywords : artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

    Abstract : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. READ MORE

  3. 2. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures

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

    Author : Jesper Petersson; [2023]
    Keywords : Machine learning; Cloud Computing; Benchmark; Image Quality Assessment; Maskininlärning; Molntjänster; Jämförelse; Bildkvalitetsbedömning;

    Abstract : an instance has become exceedingly more time and resource consuming. To solve this issue, cloud computing is being used to train and serve the models. However, there’s a gap in research where these cloud computing platforms have been evaluated for these tasks. READ MORE

  4. 3. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  5. 4. www.rätten-till-staden.nu : digitalt medborgardeltagande i stadsutvecklingen

    University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

    Author : Ellen Aurell; [2023]
    Keywords : e-deltagande; medborgardeltagande; hållbar stadsutveckling; informations- och kommunikationsteknologier IKT ; planering; demokrati;

    Abstract : Uppsatsen syfte är att studera huruvida digitalt deltagande kan underlätta för planerare att stärka medborgardeltagandet i stadsutvecklingsprocesser, samt underlätta för själva medborgarna att delta. Digitalt deltagande ses som ett sätt att ta bort de traditionella hinder som finns för det fysiska deltagandet, i det att det är tids- och platsspecifikt. READ MORE

  6. 5. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness

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

    Author : José Miguel de Almeida Pedro; [2023]
    Keywords : SLAM; Robust Estimation; Multi-Device Algorithms; SLAM; Robust uppskattning; Algoritmer för flera enheter;

    Abstract : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. READ MORE