Search for dissertations about: "machine learning in automotive"

Showing result 1 - 5 of 29 swedish dissertations containing the words machine learning in automotive.

2. 1. Synthetic data for visual machine learning : A data-centric approach

   Author : Apostolia Tsirikoglou; Jonas Unger; Gabriel Eilertsen; Anders Ynnerman; Philipp Slusallek; Linköpings universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Training data; Synthetic images; Computer graphics; Generative modeling; Natural images; Histopathology; Digital pathology; Machine learning; Deep learning;

   Abstract : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. READ MORE

4. 2. Learning-based Testing for Automotive Embedded Systems : A requirements modeling and Fault injection study

   Author : Hojat Khosrowjerdi; Karl Meinke; Dilian Gurov; Cristina Seceleanu; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine learning; fault injection; requirements testing; embedded systems; model checking; automotive software; requirements modeling; Computer Science; Datalogi;

   Abstract : This thesis concerns applications of learning-based testing (LBT) in the automotive domain. In this domain, LBT is an attractive testing solution, since it offers a highly automated technology to conduct safety critical requirements testing based on machine learning. READ MORE

5. 3. Online Learning for Energy Efficient Navigation in Stochastic Transport Networks

   Author : Niklas Åkerblom; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Thompson Sampling; Online Minimax Path Problem; Multi-Armed Bandits; Online Learning; Online Shortest Path Problem; Machine Learning; Combinatorial Semi-Bandits; Energy Efficient Navigation;

   Abstract : Reducing the dependence on fossil fuels in the transport sector is crucial to have a realistic chance of halting climate change. The automotive industry is, therefore, transitioning towards an electrified future at an unprecedented pace. READ MORE

6. 4. Towards Real-World Federated Learning: Empirical Studies in the Domain of Embedded Systems

   Author : Hongyi Zhang; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Software engineering; Federated Learning;

   Abstract : Context: Artificial intelligence (AI) has led a new phase of technical revolution and industrial development around the world since the twenty-first century, revolutionizing the way of production. Artificial intelligence (AI), an emerging information technology, is thriving, and AI application technologies are gaining traction, particularly in professional services such as healthcare, education, finance, security, etc. READ MORE

7. 5. Robust and Efficient Federated Learning for IoT Security

   Author : Han Wang; Shahid Raza; György Dán; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Federated Learning; Machine Learning; Intrusion Detection System; Communication Efficiency; Robustness; Adversarial AI; Device Fingerprinting; Device Identification; Cyber Threat Intelligence; Computer Science with specialization in Computer Communication; Datavetenskap med inriktning mot datorkommunikation;

   Abstract : The widespread adoption of Internet of Things (IoT) devices has led to substantial progress across various industrial sectors, including healthcare, transportation, and manufacturing. However, these devices also introduce significant security vulnerabilities because they are often deployed without adequate security measures, making them susceptible to cyber threats. READ MORE