Essays about: "edge machine learning"
Showing result 16 - 20 of 103 essays containing the words edge machine learning.
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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)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
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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)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
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18. Test Case Selection from Test Specifications using Natural Language Processing
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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
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19. Federated Learning for edge computing : Real-Time Object Detection
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : 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
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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)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