Essays about: "Nätverksoptimering"
Showing result 1 - 5 of 7 essays containing the word Nätverksoptimering.
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1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE
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2. Network Slicing to Enhance Edge Computing for Automated Warehouse
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In a previous work, a distributed safety framework supported by edge computing was developed to enable real-time response of robots that collaborate with humans in the Human-Robot Collaboration (HRC) scenario. However, as the number of robots in the automated warehouse increases, the network is easier to induce the congestion. READ MORE
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3. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. READ MORE
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4. Training Neural Networks with Evolutionary Algorithms for Flash Call Verification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Evolutionary algorithms have achieved great performance among a wide range of optimization problems. In this degree project, the network optimization problem has been reformulated and solved in an evolved way. A feasible evolutionary framework has been designed and implemented to train neural networks in supervised learning scenarios. READ MORE
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5. Link Criticality Characterization for Network Optimization : An approach to reduce packet loss rate in packet-switched networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Network technologies are continuously advancing and attracting ever-growing interests from the industry and society. Network users expect better experience and performance every day. Consequently, network operators need to improve the quality of their services. READ MORE
