Sökning: "Computational robustness analysis"
Visar resultat 1 - 5 av 27 uppsatser innehållade orden Computational robustness analysis.
1. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish
Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. LÄS MER
2. Analysis of Mutable Game Environments Built on a Tetrahedral Mesh : Tetras, a Potential Alternative to Voxels
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Historically 3D game environments have almost always been immutable. Mutable environments are a technical challenge that will affect performance. For games of the future to continue approaching realism, mutable environments are an essential step. LÄS MER
3. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis focuses on addressing the challenges of resource management in cloud environments, specifically in the context of running resource-optimized applications on Kubernetes. The scale and growth of cloud services, coupled with the dynamic nature of workloads, make it difficult to efficiently manage resources and control costs. LÄS MER
4. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. LÄS MER
5. Optimal Multitaper Spectrograms
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Multitaper spectrograms have been proposed as a method of improving the spectrogram as a time-frequency representation (TFR). This thesis aimed to investigate both previously used and new methods for combining multitaper spectrograms of a Gaussian signal and a chirp. LÄS MER