Essays about: "Komplexa Problem"
Showing result 6 - 10 of 366 essays containing the words Komplexa Problem.
-
6. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
-
7. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. READ MORE
-
8. Code Synthesis for Heterogeneous Platforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. READ MORE
-
9. Complexity Analysis and Structural Optimization for Architecture Models of Mechatronic Systems
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The design and development of mechatronic system are becoming an increasingly complex task due to the numerous disciplines involved, rapidly increasing scales, and the integration issues of different domains and technologies. The structural complexity of the architecture model design decides the quality of system design in many aspects: the scalability of the system design; usage of allocated resources which influences the computational overhead, etc. READ MORE
-
10. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE
