Essays about: "Parameter justering"
Showing result 1 - 5 of 11 essays containing the words Parameter justering.
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1. FPGA Implementation of an Online Free-Space Optical Communications Test-Bed
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Free Space Optical (FSO) satellite communications is proving to be a key enabling technology for global connectivity with the ability to provide connection across Europe with only 12 ground stations. For this, Deutsches Zentrum für Luft- und Raumfahrt (DLR) is working on implementing a robust communication system for FSO on a Xilinx RFSoC Field Programmable Gate Array (FPGA)( ZU28DR). READ MORE
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2. An Empirical Study on Using Codex for Automated Program Repair
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis explores the potential of Codex, a pre-trained Large Language Model (LLM), for Automated Program Repair (APR) by assessing its performance on the Defects4J benchmark that includes real-world Java bugs. The study aims to provide a comprehensive understanding of Codex’s capabilities and limitations in generating syntactically and semantically equivalent patches for defects, as well as evaluating its ability to handle defects with different levels of importance and complexity. READ MORE
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3. Optimisation of an ultrafiltration unit on a bench-scale pilot plant - A comparison between carbon and sand filtrate
University essay from KTH/KemiteknikAbstract : Kommunalförbundet Norrvatten är en av Sveriges största producenter av dricksvatten och förser över 50 miljoner vatten till över 700 000 invånare i norra Stockholm. Vattnet är renat i Görvälnverket som har sedan år 2016 planlagt en expansion av verkets kapacitet och kvalité. READ MORE
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4. Privacy leaks from deep linear networks : Information leak via shared gradients in federated learning systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Artificial Intelligence (AI) has always faced two major challenges. The first is that data is kept scattered and cannot be collected for more efficiently use. The second is that data privacy and security need to be continuously strengthened. READ MORE
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5. Predicting Parameters of Adaptive Integrate-and-Fire Models through Machine Learning with Gramian Angular Fields
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the field of neuroscience, simulation of neurons and neuronal networks are often of great interest. Before neuron models can be used they require tuning of several parameters to properly replicate characteristics of a given neuron type. READ MORE