Sökning: "Custom Data Set"

Visar resultat 1 - 5 av 52 uppsatser innehållade orden Custom Data Set.

1. 1. Towards Performance Evaluation and Future Applications of eBPF

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Manideep Gunturu; Rohan Aluguri; [2024]
   Nyckelord :eBPF; XDP; Iptables; Filtering; Performance evaluation;

   Sammanfattning : Extended Berkeley Packet Filter (eBPF) is an instruction set and an execution environment inside the Linux kernel. eBPF improves flexibility for data processing and is realized via a virtual machine featuring both a Just-In-Time (JIT) compiler and an interpreter running in the kernel. LÄS MER

3. 2. Detecting flight patterns using deep learning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Victor Carlsson; [2023]
   Nyckelord :machine learning; AI; pattern detection; CNN; LSTM; transfer learning; ADS-B; flight pattern; trajectory classification;

   Sammanfattning : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. LÄS MER

4. 3. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Kristoffer Westring; Linus Svensson; [2023]
   Nyckelord :FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Sammanfattning : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. LÄS MER

5. 4. Latency Prediction in 5G Networks by using Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Erica Elgcrona; Evrim Mete; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. LÄS MER

7. 5. Improving Unreal Engine Imagery using Generative Adversarial Networks

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Erik Jareman; Ludvig Knast; [2023]
   Nyckelord :GAN; Generative Adversarial Networks; Unreal Engine; Real-ESRGAN; super resolution; image enhancement;

   Sammanfattning : Game engines such as Unreal Engine 5 are widely used to create photo-realistic renderings. To run these renderings at high quality without experiencing any performance issues,high-performance hardware is often required. LÄS MER