Essays about: "Edge-computing"
Showing result 16 - 20 of 78 essays containing the word Edge-computing.
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16. Edge Compute Offloading Strategies using Heuristic and Reinforcement Learning Techniques.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The emergence of 5G alongside the distributed computing paradigm called Edge computing has prompted a tremendous change in the industry through the opportunity for reducing network latency and energy consumption and providing scalability. Edge computing extends the capabilities of users’ resource-constrained devices by placing data centers at the edge of the network. READ MORE
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17. 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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18. 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
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19. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE
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20. MODELING AND EVALUATING AN INTELLIGENT HEALTH MONITORING SYSTEM FOR ATRIAL FIBRILLATION DETECTION
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The heart disease Atrial Fibrillation (AFib) has increased worldwide in recent years. Untreated AFib can lead to cardiovascular complications such as stroke and heart failure. AFib is detected by physicians using Electrocardiogram (ECG). Since this disease can occur without symptoms for some patients, it can lead to late detection. READ MORE