Essays about: "edge machine learning"

Showing result 16 - 20 of 103 essays containing the words edge machine learning.

  1. 16. AI Enabled Cloud RAN Test Automation : Automatic Test Case Prediction Using Natural Language Processing and Machine Learning Techniques

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

    Author : Jeet Santosh Nimbhorkar; [2023]
    Keywords : Test Automation; Natural Language Processing; Machine Learning; Keyword Extraction; Prediction; Testautomatisering; Naturlig Språkbehandling; Maskininlärning; Nyckelord Extraktion; Förutsägelse;

    Abstract : The Cloud Radio Access Network (RAN) is a technology used in the telecommunications industry. It provides a flexible, scalable, and costeffective solution for managing and delivering seamless wireless network services. READ MORE

  2. 17. Dynamic Control, Modeling and Sizing of Hybrid Power Plants : Investigating the optimum usage of energy storage for Fortum’s hydropower

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

    Author : Klas Lindgren; [2023]
    Keywords : Hydropower Plants; Energy Storage Systems; Hybrid Units; Frequency Regulation; Modeling; XGBoost Regression; Vattenkraftverk; Energilagringsystem; Hybridkraftverk; Frekvensreglering; Modellering; XGBoost Regression;

    Abstract : The rapidly evolving Nordic Power System demands enhanced flexibility and robustness in electricity production. The traditional role of hydropower plants in regulating the grid frequency has been challenged by new criteria for dynamic stability, which some units struggle to meet due to their relatively poor dynamic performance. READ MORE

  3. 18. Test Case Selection from Test Specifications using Natural Language Processing

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Alok Gupta; [2023]
    Keywords : Cloud RAN; Telecommunication; Test Automation; Artificial Intelligence; Machine Learning; Natural Language Processing; Keyword Extraction; Prediction;

    Abstract : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. READ MORE

  4. 19. Federated Learning for edge computing : Real-Time Object Detection

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Ardit Memia; [2023]
    Keywords : Federated Learning; Artificial Intelligence; Machine Learning; Edge computing; Object Detection; Decentralized AI;

    Abstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE

  5. 20. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA

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

    Author : Muhammad Ihsan Al Hafiz; [2023]
    Keywords : Bolt detection; Visual-Inertial localization; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; Tightening tool; Bultdetektering; visuell-tröghetslokalisering; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine Learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; åtdragningsverktyg;

    Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE