Essays about: "high performance networks"
Showing result 6 - 10 of 547 essays containing the words high performance networks.
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6. Reconstruction of Radio Detector Data using Graph Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : The current neutrino detectors have been able to detect neutrinos in the range of TeV to 100 PeV, however, ultra high energy (UHE) neutrinos above 100 PeV still remain to be detected. A new neutrino detector, the RNO-G, is currently being constructed in Greenland with the purpose of detecting the first UHE neutrinos using radio antennas capable of measuring the Askaryan pulse generated after a neutrino interaction with the ice molecules. READ MORE
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7. Techno-economic analysis and simulation of low temperature district heating networks
University essay from Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljöAbstract : The continuous increase in global energy consumption has led to a greater focus on the energy required for heating buildings. This thesis presents a techno-economic model for analysing low-temperature district heating networks coupled with a geothermal heat source. READ MORE
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8. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. READ MORE
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9. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikAbstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE
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10. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE