Sökning: "Computational efficiency"
Visar resultat 16 - 20 av 545 avhandlingar innehållade orden Computational efficiency.
16. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining
Sammanfattning : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. LÄS MER
17. Computational Modeling of the Structure, Function and Dynamics of Biomolecular Systems
Sammanfattning : Proteins are a structurally diverse and functionally versatile class of biomolecules. They perform a variety of life-sustaining biological processes with utmost efficiency. A profound understanding of protein function requires knowledge of its structure. LÄS MER
18. Accelerated granular matter simulation
Sammanfattning : Modeling and simulation of granular matter has important applications in both natural science and industry. One widely used method is the discrete element method (DEM). It can be used for simulating granular matter in the gaseous, liquid as well as solid regime whereas alternative methods are in general applicable to only one. LÄS MER
19. Models for capturing the penetration of a diffusant concentration into rubber : Numerical analysis and simulation
Sammanfattning : Understanding the transport of diffusants into rubber plays an important role in forecasting the material's durability. In this regard, we study different models, conduct numerical analysis, and present simulation results that predict the evolution of the penetration front of diffusants. LÄS MER
20. Parallelism in Event-Based Computations with Applications in Biology
Sammanfattning : Event-based models find frequent usage in fields such as computational physics and biology as they may contain both continuous and discrete state variables and may incorporate both deterministic and stochastic state transitions. If the state transitions are stochastic, computer-generated random numbers are used to obtain the model solution. LÄS MER