Sökning: "adapted novel"
Visar resultat 1 - 5 av 100 uppsatser innehållade orden adapted novel.
1. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. LÄS MER
2. Decoding the surface code using graph neural networks
Master-uppsats, Göteborgs universitet / Institutionen för fysikSammanfattning : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. LÄS MER
3. “Ett liv utan frihet, vad är det?” : Berättelser om svensk psykiatri vård under 1940-talet fråninsidan av institutionerna
Magister-uppsats, Umeå universitet/Institutionen för idé- och samhällsstudierSammanfattning : A life without freedom, what is that? This question was stated in a letter from a man institutionalized at one of Sweden’s mental asylums in the 1940s. It is also the title of this essay which explores the life and experiences of institutionalized individuals during 1941–1949. LÄS MER
4. Towards gradient faithfulness and beyond
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. LÄS MER
5. Air quality prediction in metropolitan areas using deep learning methods
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. LÄS MER