Essays about: "network advantages"
Showing result 16 - 20 of 370 essays containing the words network advantages.
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16. Application of Physics-Informed Neural Networks for Galaxy Dynamics
University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Abstract : Developing efficient and accurate numerical methods to simulate dynamics of physical systems has been an everlasting challenge in computational physics. Physics-Informed Neural Networks (PINNs) are neural networks that encode laws of physics into their structure. READ MORE
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17. Litteraturstudie - Energieffektivisering av livsmedelsbutiker genom nyttjande av överskottsvärme
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Generellt sett har livsmedelsbutiker ett stort behov av enrgi i form av el, värme, komfortkyla och livsmedelskyla. Livsmedelsbutikers höga elanvändning utgör 3% av Sveriges totala elanvändning. En betydande del av elanvändningen går till kylsystem och genererar på så vis överskottsvärme från kondensorn som ofta slösas bort. READ MORE
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18. Improving the BBR congestion control algorithm for QUIC
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Congestion control is an important aspect of network technology, where traffic load is balanced to not cause an overflow in the system. Google has proposed its own protocol, QUIC, which is described as being set to supersede the TCP protocol. READ MORE
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19. Consensus Algorithms in Blockchain : A survey to create decision trees for blockchain applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockchain is a decentralized database that is distributed among a computer network. To enable a smooth decision making process without any authority, different blockchain applications use their own consensus algorithms. The problem is that for a new blockchain application, there is limited aid in deciding which algorithm it should implement. READ MORE
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20. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. READ MORE