Sökning: "Computational efficiency"

Visar resultat 16 - 20 av 545 avhandlingar innehållade orden Computational efficiency.

  1. 16. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining

    Författare :Eva García Martín; Håkan Grahn; Veselka Boeva; Emiliano Casalicchio; Jesse Read; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; energy efficiency; data stream mining; green machine learning; edge computing; Computer Science; Datavetenskap;

    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

  2. 17. Computational Modeling of the Structure, Function and Dynamics of Biomolecular Systems

    Författare :Yashraj Kulkarni; Shina Kamerlin; Markus Meuwly; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Molecular Dynamics; Empirical Valence Bond; Enzyme Catalysis; Amyloid Beta; ; Triosephosphate Isomerase; TIM; Computational Biochemistry; Computational Enzymology; Biokemi; Biochemistry;

    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

  3. 18. Accelerated granular matter simulation

    Författare :Da Wang; Martin Servin; Jin Ooi; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; discrete element method; nonsmooth contact dynamics; multibody dynamics; granular media; simulation; projected Gauss-Seidel; validation; iron ore pellets; pelletising balling circuit; model reduction; design optimization;

    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

  4. 19. Models for capturing the penetration of a diffusant concentration into rubber : Numerical analysis and simulation

    Författare :Surendra Nepal; Adrian Muntean; Nadja Ray; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; transport of diffusants; moving-boundary problem; finite element method; a priori and a posteriori error estimates; random walk method; two-scale coupled system; Matematik; Mathematics;

    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

  5. 20. Parallelism in Event-Based Computations with Applications in Biology

    Författare :Pavol Bauer; Stefan Engblom; Markos A. Katsoulakis; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Event-based computations; Parallel algorithms; Discrete-event simulation; Monte-Carlo methods; Systems biology.; Scientific Computing; Beräkningsvetenskap;

    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