Suchergebnisse - (dynamic OR dynamika) code analysis of python (progress OR process)

Automatic and Dynamic Visualization of Process-Based Concurrent Programs

Autoren: Farina, Daniel Augusto Rodrigues Campiolo, Rodrigo Rufino, José et al.

Weitere Verfasser: Farina, Daniel Augusto Rodrigues Campiolo, Rodrigo Rufino, José et al.

Schlagwörter: E-Learning tool, System programming, Concurrent programming, Code instrumentation, Inspector functions, JSON, Konva JS, Canvas, Python, React JS, BPMN

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10198/29615

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Autoren: Siney, Melissa Salehi, Reza Hassan, Mohamed G. et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Schlagwörter: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

A review of open-source energy system modeling tools.

Autoren: Nguyen Binh Khanh Phuong Le Ngo Luong Ngoc Giap et al.

Quelle: International Journal of Advances in Applied Sciences (IJAAS); Jun2025, Vol. 14 Issue 2, p469-480, 12p

Schlagwörter: RENEWABLE energy sources, SYSTEM analysis, ELECTRICAL load, PROGRAMMING languages, USER interfaces

GenEvaPa: A generic evaporation package for modeling evaporation in molecular dynamics simulations

Autoren: Harris, Bradley Liu, Gang-yu Faller, Roland

Schlagwörter: Evaporation, Python script, Molecular dynamics, Mathematical Sciences, Physical Sciences, Information and Computing Sciences, Nuclear & Particles Physics

Zugangs-URL: https://escholarship.org/uc/item/3kr9q8rc

An empirical study of large language models for type and call graph analysis in Python and JavaScript.

Autoren: Venkatesh, Ashwin Prasad Shivarpatna Sunil, Rose Sabu, Samkutty et al.

Quelle: Empirical Software Engineering; Dec2025, Vol. 30 Issue 6, p1-50, 50p

Discovery of the Inner Structure of Black Holes and the Transition of Information Across the Event Horizon

Autoren: JALALI, SEYED RASOUL

Schlagwörter: ψ–Hamzah equation, black holes, inner structure, event horizon, information paradox, quantum gravity, general relativity, fractional derivatives, fractal geometry, multiscale dynamics, ψ-signature, nonlocal memory, quantum coherence, Hawking radiation, information preservation, singularity resolution, Schwarzschild solution, Kerr solution, Reissner–Nordström, Einstein field equations, quantum tunneling, spacetime curvature, gravitational collapse, ψ-field oscillations, quantum membrane, ψ-barrier, ψ-fingerprint, fractal oscillatory structure, quantum processor, memory preservation, Hawking evaporation, non-thermal radiation, gravitational waves, quantum entanglement, holographic principle, ψ-information layers, fractional wave equation, Caputo derivatives, Grünwald–Letnikov scheme, fractal kernels, oscillatory horizon, quantum coherence fields, turbulence in ψ-fields, oscillatory shells, information recycling, unitarity preservation, ψ-time, memory-driven collapse, quantum tunneling across horizon, oscillatory fractal core, nonlinear dynamics, fractal decomposition, numerical simulation, Python modeling, fractional calculus code, Runge–Kutta ψ-integration, spectral analysis, Lyapunov stability, bifurcation diagrams, wavelet decomposition, Fourier transform, entropic delay index, fractal dimension spectrum, information echo strength, laboratory analog black holes, optical fiber simulation, Bose–Einstein condensates, nonlinear refractive index, Kerr medium, quantum optical black holes, phase shifts, non-Gaussian scattering, fractal laser pulses, ultrafast femtosecond lasers, time-fractal pulses, nonlinear self-focusing, chaotic light behavior, experimental verification, ψ-wave experiments, fractional filtering, multiscale resonance, ψ-information oscillations, ψ-horizon reflection, data analysis tools, pywt wavelet analysis, Fourier frequency comparison, spectral instability, ψ-fractal simulations, comparative metrics, RMS deviation reduction, Planck-scale modeling, sub-horizon turbulence, adaptive ψ-fields, energy-information functions, ψ-potential oscillations, nonlinear boundary conditions, information penetration parameter, Hawking evaporation reinterpretation, entropic phase transitions, information reflection, irreversibility of ψ-processes, quantum memory effect, ψ-nonlocal channels, ψ–multiverse links, ψ-topological resonance, ψ-causality loops, ψ-entropic dynamics, ψ-fractional entropy, memory-preserving algorithms, ψ-field holography, oscillatory attractors, ψ-chaos suppression, ψ-wave propagation, ψ-nonlinear integration, ψ-dimensional mapping, ψ–quantum geometry, quantum coherent oscillations, ψ–vacuum interactions, ψ-cosmology, holographic ψ-encoding, ψ–quantum fingerprints, ψ–wave echo, ψ-field resonance, ψ-dynamics of collapse, ψ-processing of information, ψ-recycling in black holes, ψ-dimensional gateways, ψ-parallel states, ψ-transitions across horizons, ψ-unification model, ψ–quantum gravity integration, ψ-thermodynamics, quantum gravitational field simulations, fractional-fractal models, ψ-differential operators, information preservation across scales, ψ-rewriting of data, ψ-nonlinear oscillatory core, ψ-resonance at event horizon, ψ-fractional oscillators, quantum fractal gravity, black hole entropy, ψ-fractional action, holographic ψ-models, ψ-multiscale oscillations, ψ-nonlinear fractal resonance, ψ-field oscillatory attractors, ψ-coherent tunneling, ψ-quantum decoherence suppression, ψ-dynamics of singularity, ψ-horizon memory layers, ψ-bifurcation stability, ψ-field memory operators, ψ-chaotic attractors, ψ-quantum processing node, ψ-information continuity, ψ-meaning preservation, ψ-event horizon as quantum barrier, ψ-multiscale resonance functions, ψ-fractal delay effects, ψ-wave memory layers, ψ-multidimensional quantum horizons, ψ-fractal experimental analogs, ψ-reproducible lab simulations, ψ-future quantum gravity path, ψ-informational preservation

Processes data and code for Dynamics of Lagrangian Sensor Particles

Autoren: (0000-0002-6943-2077) Rautenbach, R. (0000-0003-3721-489X) Buntkiel, L. Schäfer, J. et al.

Quelle: Publication year 2024
License: GNU General Public License v3.0 and CC-BY 4.0

Index Begriffe: Stirred Tank Reactors, Lagrangian Sensor Particles, Mixing Heterogeneities, Stokes Number, Non-Homogeneous Particles, Flow-Following, info:eu-repo/semantics/publishedVersion, doc-type:researchdata, Text

URL: https://www.hzdr.de/publications/Publ-39366-1
info:eu-repo/semantics/reference/doi/10.18419/darus-4238
info:eu-repo/semantics/altIdentifier/purl/https://www.hzdr.de/publications/Publ-39366-1

A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology.

Autoren: Smirnov, Nikita Kurkin, Semen Hramov, Alexander E.

Quelle: Frontiers in Network Physiology; 2025, p1-21, 21p

Schlagwörter: PYTHON programming language, FUNCTIONAL magnetic resonance imaging, FUNCTIONAL connectivity

Tracing the trajectory of literacy warrants: A trends study on the emergence of digital literacy and digital competency.

Autoren: Esh, Manash Ghosh, Saptarshi

Quelle: Journal of Librarianship & Information Science; Sep2025, Vol. 57 Issue 3, p746-761, 16p

Schlagwörter: DIGITAL literacy, INFORMATION technology, BIBLIOMETRICS, TREND analysis, DIGITAL learning, EDUCATIONAL technology

A Static Analysis Approach for Detecting Array Shape Errors in Python.

Autoren: YUNG YU ZHUANG CHIEN-WEN KAO WEI-HSIN YEN

Quelle: Journal of Information Science & Engineering. Jan2025, Vol. 41 Issue 1, p97-119. 23p.

Schlagwörter: Computational linguistics, Human error, Machine learning, Labor costs, Pythons, Python programming language, Deep learning

Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning.

Autoren: Egger, Peter Werner Srinivas, Gidugu Lakshmi Brandstötter, Mathias

Quelle: Sensors (14248220); May2025, Vol. 25 Issue 10, p3011, 22p

Schlagwörter: MACHINE learning, TACTILE sensors, CAPACITIVE sensors, SOFT robotics, SENSOR arrays, STRUCTURAL health monitoring

MoveApps: a serverless no-code analysis platform for animal tracking data.

Autoren: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Quelle: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

Dynamic Changes in Microorganisms and Metabolites During Silage Fermentation of Whole Winter Wheat.

Autoren: Zhang, Li Zeng, Yu Fu, Lin et al.

Quelle: Veterinary Sciences. Aug2025, Vol. 12 Issue 8, p708. 15p.

Continuous automated analysis of facial dynamics of brachycephalic and normocephalic dogs in different contexts.

Autoren: Martvel, George Eretová, Petra Přibylová, Lucie et al.

Quelle: BMC Veterinary Research. 5/24/2025, Vol. 21 Issue 1, p1-13. 13p.

Schlagworte: Emotions in animals, Behavioral assessment, Dog behavior, Facial expression, Artificial intelligence, Dogs

Modeling and Simulation of Combustion in Python

Autoren: Sadeq, Abdellatif

Schlagwörter: Alternative Fuels, Ignition Delay, Optimization Techniques, combustion modeling, Turbulence-Chemistry Interaction, Python Programming, Transport Phenomena, Pollutant Emissions, Heat Transfer, Hydrogen Combustion, Sensitivity Analysis, Advanced Sensitivity Frameworks, Machine Learning in Combustion, Python Visualization Tools (Matplotlib, Plotly), Chemical Kinetics, Multi-phase Combustion, Cantera Library, Reaction Mechanisms, Numerical Simulation, Flame Dynamics

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations.

Autoren: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Data-driven discovery of antiviral peptides against PRRSV using multiple machine learning models.

Autoren: Yousaf, Wafa Haseeb, Abdul Shen, Yongheng et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-20. 20p.

Towards transient space-use dynamics: re-envisioning models of utilization distribution and their applications.

Autoren: Tao, Yun Giunta, Valeria Börger, Luca et al.

Quelle: Movement Ecology. 2/28/2025, Vol. 13 Issue 1, p1-14. 14p.

Low Skeletal Muscle Mass Identifies Very High Metabolic Risk in Slovak Children with Obesity: A Body Composition-Based Approach to Risk Stratification.

Autoren: Bánovčinová, Alžbeta Schusterová, Ingrid Tóth, Štefan et al.

Quelle: Nutrients. Dec2025, Vol. 17 Issue 23, p3715. 21p.