Essays about: "combined optimization."
Showing result 1 - 5 of 242 essays containing the words combined optimization..
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1. Optical Communication using Nanowires and Molecular Memory Systems
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikAbstract : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. READ MORE
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2. Development of ultra-sensitive immunoassay on Gyrolab microfluidic platform using Binding Oligo Ladder Detection : Enhancing Gyrolab biomarker assays using Exazym®
University essay from Uppsala universitet/Institutionen för farmaciAbstract : Immunoassays are widely used for detection of antigens in a wide range of applications including assays in pharmaceutical development. Immunoassays are continuously improved in many aspects including automatization, miniaturization and extending the dynamic range. READ MORE
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3. The Operational Strategy Optimization of Distributed Energy System Based on MATLAB : A case study in Northeast China
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : China is the largest energy consumer worldwide, with a fast-growing rate. But the energy and environmental problems brought by its unbalanced energy structure and low energy efficiency restrict the sustainable development of China. The Distributed Energy System (DES) is one of the internationally recognized solutions to the problems. READ MORE
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4. Double Machine Learning for Insurance Price Optimization
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. READ MORE
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5. Transmission expansion planning considering Probabilistic Risk Assessment : Implemented at Swedish National Grid
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Svenska kraftnät (Swedish National Grid) is the transmission system operator in Sweden and is responsible for maintaining and developing the Swedish transmission grid. One of the tasks included in this responsibility is transmission expansion planning, which means analyzing and planning the capacity in the future transmission grid for the requested load and generation. READ MORE