Essays about: "edge machine learning"

Showing result 1 - 5 of 103 essays containing the words edge machine learning.

  1. 1. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

    University essay from Göteborgs universitet/Graduate School

    Author : Mauro Campus; [2023-07-19]
    Keywords : Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

    Abstract : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. READ MORE

  3. 2. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE

  4. 3. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Weilin Zhang; [2023]
    Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

    Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE

  5. 4. Finding license-plates in varying lighting conditions using two machine learning methods

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : André Sturesson; Johannes Böök; [2023]
    Keywords : machine learning; license plate; image recognition;

    Abstract : Object detection and machine learning are important fields in Computer science. This report presents two methods to find the bounding box of a license plate and tries to evaluate the best approach to deal with various lighting conditions. READ MORE

  6. 5. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Daniel Arredondo; [2023]
    Keywords : Hybrid model; Volatility model; Machine learning model; Price spike prediction; Energy trading; Time series forecasting; Ancillary service market; Business and Economics;

    Abstract : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. READ MORE