Essays about: "MLP"
Showing result 16 - 20 of 148 essays containing the word MLP.
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16. Link Prediction Using Learnable Topology Augmentation
University essay from KTH/Matematik (Avd.)Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE
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17. Cell Tower Localization using crowdsourced measurments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis explores the application of a neural network approach to cell tower localization using crowdsourced measurements. The deployment of cell tower infrastructure has been increasing exponentially in recent times as it is a crucial element of mobile communications. READ MORE
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18. Start-ups as The Driver of Circular Economy: The Case of Indonesia
University essay from Lunds universitet/Ekonomisk-historiska institutionenAbstract : This study illuminates the pivotal role of start-ups in driving circular economy (CE) implementation in Indonesia. Using the Multi-Level Perspective (MLP) framework, this research explores the dynamic contributions of start-ups in fostering sustainable transitions from a linear to a circular economy. READ MORE
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19. Forecasting Codeword Errors in Networks with Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. READ MORE
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20. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE