Výsledky vyhľadávania - "Python simulation framework"

ADAPTIVE DUAL-MODE STEER-BY-WIRE FOR SMART-CITY AND REMOTE OPERATIONS: A COMPACT MECHATRONIC REVIEW WITH A PYTHON SIMULATION FRAMEWORK

Autori: Adrian C. Okonkwo Ukala A. N Eugene Ogbodo a ďalší

Zdroj: International Journal of Education and Social Science Research. :413-428

iactsim: a CUDA-accelerated Python simulation framework for Imaging Atmospheric Cherenkov Telescopes

Autori: Davide Mollica Ciro Bigongiari Antonino D’Aì a ďalší

Zdroj: Proceedings of 39th International Cosmic Ray Conference — PoS(ICRC2025). :770

MiniDES - Lightweight Python Simulation Framework for Interconnected Renewable Resources

Autori: Jonas Schlund Julian Reisenweber Reinhard German

Zdroj: 2019 IEEE Green Energy and Smart Systems Conference (IGESSC). :1-7

NRGISE - Python Simulation Framework for Energy Storage Systems

Autori: Rohrer, Tobias Reiners, Nils Hogl, Ricarda

Predmety: 7. Clean energy

AC_Toy (S_U1™): A Python Framework for Turbulence Modeling Based on 3D Navier–Stokes model

Autori: Sahraoui, Nadia

Predmety: AC_Toy (S_U1™), U_SE3®, Kolmogorov theory, Numerical stability, Quantum-inspired operators, Python simulation framework, Navier–Stokes equations, Spectral methods, Computational fluid dynamics (CFD), N.Sahra, Direct Numerical Simulation (DNS), Open science reproducibility, S_U2™, Turbulence modeling

Resonant Substrate Hypothesis (RSH) v15 — Quantum-Geometric Closure and Planck-Scale Information Equilibrium

Autori: Gewirtz, Jeffrey

Predmety: information geometry, Surrogate testing, Gravitational wave signal processing, dissipation coupling, entropy flow constraint, signal-to-noise ratio (SNR), error propagation, information theory, wavelet ridge analysis, Lorentzian width estimation, peak detection, bootstrap resampling, mode mixing, breakpoint detection (W*), ringdown window, copula MI, distance correlation, universal ratio F≈1, domain-neutral normalization, Black holes, cross-domain invariance, quantum thermodynamic, Lyapunov, Hilbert space, Lyapunov pathway, Astrophysical detectability, fixed point, theorem, Schumann resonance, ELF fields, recursion operator, 3I/ATLAS, Detector invariance, Information–Energy Symmetry, Resonant Equilibrium, Spectral–Information Coupling, Entropy–Resonance Relationship, Mutual Information Decay Constant, Empirical Universality, Gewirtz Ratio (F ≈ 1), Information–Energy Conservation Law, Resonant Substrate Framework, Informational Thermodynamics, Cross-Scale Correlation, Synthetic Validation Protocol, Open-Science Reproducibility, Python Simulation Framework, Physical Information Theory, Nonlinear Information Dynamics, Statistical Physics of Information, Entropy–Dissipation Invariance, Complex Systems Physics, classification (ROC, confusion matrix), falsifiability, C₀-semigroup, GW150914, complexity theory, resonant substrate, invariant ratio, entropy–information duality, Gewirtz Invariant, Information-theoretic analysis, Gravitational waves, recursion, spectral gap, emergence, Collapse scaling, energy–information law, universal invariant, quasi-normal modes (QNM), spectral linewidth (HWHM), Lorentzian peak fitting, mutual-information decay, spectral decay rate, SNR gating, equivalence testing (TOST), Bayes factors, hierarchical modeling, surrogate null models, ARFIMA, heavy-tailed noise, open quantum systems, Lindblad dissipators, Hilbert envelope, continuous wavelet transform (CWT), reproducible research, provenance tracking, Partition Rendering Hypothesis, Bootstrap confidence intervals, Ringdown analysis, Resonant Substrate Hypothesis, Operator theory, uncertainty propagation, stability, Mutual information, thermodynamic irreversibility, quantum decoherence, Unified Information–Energy Formalism, Statistical validation

Resonant Substrate Hypothesis (RSH) v15.1 — A Universal Invariant of Reality Linking Information, Energy, and Time (Public Continuation Edition Summarizing the Restricted Archival Record v15: Quantum-Geometric Framework)

Autori: Gewirtz, Jeffrey

Predmety: information geometry, Surrogate testing, Gravitational wave signal processing, dissipation coupling, entropy flow constraint, signal-to-noise ratio (SNR), error propagation, information theory, wavelet ridge analysis, Lorentzian width estimation, peak detection, bootstrap resampling, mode mixing, breakpoint detection (W*), ringdown window, copula MI, distance correlation, universal ratio F≈1, domain-neutral normalization, Black holes, cross-domain invariance, quantum thermodynamic, Lyapunov, Hilbert space, Lyapunov pathway, Astrophysical detectability, fixed point, theorem, Schumann resonance, ELF fields, recursion operator, 3I/ATLAS, Detector invariance, Information–Energy Symmetry, Resonant Equilibrium, Spectral–Information Coupling, Entropy–Resonance Relationship, Mutual Information Decay Constant, Empirical Universality, Gewirtz Ratio (F ≈ 1), Information–Energy Conservation Law, Resonant Substrate Framework, Informational Thermodynamics, Cross-Scale Correlation, Synthetic Validation Protocol, Open-Science Reproducibility, Python Simulation Framework, Physical Information Theory, Nonlinear Information Dynamics, Statistical Physics of Information, Entropy–Dissipation Invariance, Complex Systems Physics, classification (ROC, confusion matrix), falsifiability, C₀-semigroup, GW150914, complexity theory, resonant substrate, invariant ratio, entropy–information duality, Gewirtz Invariant, Information-theoretic analysis, Gravitational waves, recursion, spectral gap, emergence, Collapse scaling, energy–information law, universal invariant, quasi-normal modes (QNM), spectral linewidth (HWHM), Lorentzian peak fitting, mutual-information decay, spectral decay rate, SNR gating, equivalence testing (TOST), Bayes factors, hierarchical modeling, surrogate null models, ARFIMA, heavy-tailed noise, open quantum systems, Lindblad dissipators, Hilbert envelope, continuous wavelet transform (CWT), reproducible research, provenance tracking, Partition Rendering Hypothesis, Bootstrap confidence intervals, Ringdown analysis, Resonant Substrate Hypothesis, Operator theory, uncertainty propagation, stability, Mutual information, thermodynamic irreversibility, quantum decoherence, Unified Information–Energy Formalism, Statistical validation

Resonant Substrate Hypothesis (RSH) v14 — A Unifying Law of Information, Energy, and Time: Linking Einstein, Planck, and Shannon through the Gewirtz Invariant

Autori: Gewirtz, Jeffrey

Predmety: information geometry, Surrogate testing, Gravitational wave signal processing, dissipation coupling, entropy flow constraint, signal-to-noise ratio (SNR), error propagation, information theory, wavelet ridge analysis, Lorentzian width estimation, peak detection, bootstrap resampling, mode mixing, breakpoint detection (W*), ringdown window, copula MI, distance correlation, universal ratio F≈1, domain-neutral normalization, Black holes, cross-domain invariance, quantum thermodynamic, Lyapunov, Hilbert space, Lyapunov pathway, Astrophysical detectability, fixed point, theorem, Schumann resonance, ELF fields, recursion operator, 3I/ATLAS, Detector invariance, Information–Energy Symmetry, Resonant Equilibrium, Spectral–Information Coupling, Entropy–Resonance Relationship, Mutual Information Decay Constant, Empirical Universality, Gewirtz Ratio (F ≈ 1), Information–Energy Conservation Law, Resonant Substrate Framework, Informational Thermodynamics, Cross-Scale Correlation, Synthetic Validation Protocol, Open-Science Reproducibility, Python Simulation Framework, Physical Information Theory, Nonlinear Information Dynamics, Statistical Physics of Information, Entropy–Dissipation Invariance, Complex Systems Physics, classification (ROC, confusion matrix), falsifiability, C₀-semigroup, GW150914, complexity theory, resonant substrate, invariant ratio, entropy–information duality, Gewirtz Invariant, Information-theoretic analysis, Gravitational waves, recursion, spectral gap, emergence, Collapse scaling, energy–information law, universal invariant, quasi-normal modes (QNM), spectral linewidth (HWHM), Lorentzian peak fitting, mutual-information decay, spectral decay rate, SNR gating, equivalence testing (TOST), Bayes factors, hierarchical modeling, surrogate null models, ARFIMA, heavy-tailed noise, open quantum systems, Lindblad dissipators, Hilbert envelope, continuous wavelet transform (CWT), reproducible research, provenance tracking, Partition Rendering Hypothesis, Bootstrap confidence intervals, Ringdown analysis, Resonant Substrate Hypothesis, Operator theory, uncertainty propagation, stability, Mutual information, thermodynamic irreversibility, quantum decoherence, Unified Information–Energy Formalism, Statistical validation

Resonant Substrate Hypothesis (RSH) v13.5 — Empirical Universality & Physical Validation (Aligned Archival Edition)

Autori: Gewirtz, Jeffrey

Predmety: information geometry, Surrogate testing, Gravitational wave signal processing, dissipation coupling, entropy flow constraint, signal-to-noise ratio (SNR), error propagation, information theory, wavelet ridge analysis, Lorentzian width estimation, peak detection, bootstrap resampling, mode mixing, breakpoint detection (W*), ringdown window, copula MI, distance correlation, universal ratio F≈1, domain-neutral normalization, Black holes, cross-domain invariance, quantum thermodynamic, Lyapunov, Hilbert space, Lyapunov pathway, Astrophysical detectability, fixed point, theorem, Schumann resonance, ELF fields, recursion operator, 3I/ATLAS, Detector invariance, Information–Energy Symmetry, Resonant Equilibrium, Spectral–Information Coupling, Entropy–Resonance Relationship, Mutual Information Decay Constant, Empirical Universality, Gewirtz Ratio (F ≈ 1), Information–Energy Conservation Law, Resonant Substrate Framework, Informational Thermodynamics, Cross-Scale Correlation, Synthetic Validation Protocol, Open-Science Reproducibility, Python Simulation Framework, Physical Information Theory, Nonlinear Information Dynamics, Statistical Physics of Information, Entropy–Dissipation Invariance, Complex Systems Physics, classification (ROC, confusion matrix), falsifiability, C₀-semigroup, GW150914, complexity theory, resonant substrate, invariant ratio, entropy–information duality, Gewirtz Invariant, Information-theoretic analysis, Gravitational waves, recursion, spectral gap, emergence, Collapse scaling, energy–information law, universal invariant, quasi-normal modes (QNM), spectral linewidth (HWHM), Lorentzian peak fitting, mutual-information decay, spectral decay rate, SNR gating, equivalence testing (TOST), Bayes factors, hierarchical modeling, surrogate null models, ARFIMA, heavy-tailed noise, open quantum systems, Lindblad dissipators, Hilbert envelope, continuous wavelet transform (CWT), reproducible research, provenance tracking, Partition Rendering Hypothesis, Bootstrap confidence intervals, Ringdown analysis, Resonant Substrate Hypothesis, Operator theory, uncertainty propagation, stability, Mutual information, thermodynamic irreversibility, quantum decoherence, Unified Information–Energy Formalism, Statistical validation

An Evolutionary Game Theory and Reinforcement Learning-Based Security Protocol for Intermittently Connected Wireless Networks.

Autori: Singh, Jagdeep Dhurandher, Sanjay K. Woungang, Isaac a ďalší

Zdroj: Telecom; Feb2026, Vol. 7 Issue 1, p13, 19p

iactsim: A CUDA-accelerated simulation framework for IACTs.

Autori: Mollica, D. D'Aì, A. Bigongiari, C. a ďalší

Zdroj: Nuclear Instruments & Methods in Physics Research Section A. Jun2026, Vol. 1086, pN.PAG-N.PAG. 1p.

Predmety: *RAY tracing, *GRAPHICS processing units, *CHERENKOV radiation, *COMPUTER simulation, *COMPUTER performance, *PYTHON programming language, *MONTE Carlo method

Automating Building Energy Performance Simulation with EnergyPlus Using Modular JSON–Python Workflows: A Case Study of the Hilton Watford Hotel.

Autori: Osei-Owusu, Justine Bahadori-Jahromi, Ali Amirkhani, Shiva a ďalší

Zdroj: Sustainability (2071-1050); Nov2025, Vol. 17 Issue 22, p10317, 48p

Modeling Impurity Effects in Graphene Quantum Dots: A Python Framework for Impurity‐Induced Valley Splitting and Quantum Transport.

Autori: Nigusie, Yohannes Achenefe Ramachandran, Tholkappiyan

Zdroj: Advances in Condensed Matter Physics; 10/31/2025, Vol. 2025, p1-5, 5p

Predmety: QUANTUM dots, MAGNETIC impurities, CHARGE-charge interactions, PYTHON programming language, COULOMB potential, ATOM-atom collisions, ELECTRON transport

Optimizing Spark job scheduling with distributional deep learning in cloud environments.

Autori: Verma, Vishnu Prasad Kumar, Sumit Kumar, Santosh a ďalší

Zdroj: Journal of Cloud Computing (2192-113X); 10/27/2025, Vol. 14 Issue 1, p1-19, 19p

Predmety: SCHEDULING, REINFORCEMENT learning, RESOURCE allocation, ENERGY consumption, CLOUD computing, DEEP learning

The Untapped Potential of Ascon Hash Functions: Benchmarking, Hardware Profiling, and Application Insights for Secure IoT and Blockchain Systems.

Autori: Gladis Kurian, Meera Chen, Yuhua

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p5936, 26p

Predmety: BLOCKCHAINS, DATA integrity, COMPUTER performance, BENCHMARK problems (Computer science), CRYPTOGRAPHY

Korporácia: NATIONAL Institute of Standards & Technology (U.S.)

Heterogeneous density-based clustering with a dual-functional memristive array.

Autori: Shin, Dong Hoon Cheong, Sunwoo Lee, Soo Hyung a ďalší

Zdroj: Materials Horizons; 9/21/2024, Vol. 11 Issue 18, p4493-4506, 14p

Decentralized deconfliction of aerial robots in high intensity traffic structures.

Autori: Crann, Verdon Amiri, Peyman Knox, Samuel a ďalší

Zdroj: Journal of Field Robotics; Aug2024, Vol. 41 Issue 5, p1541-1557, 17p

Predmety: AIR traffic control, SOFTWARE frameworks, COMPUTER firmware, HELICAL structure, ROBOTS, AIR traffic, COMPUTER software testing

An Allee-based distributed algorithm for microbial whole-cell sensors.

Autori: Cravo, Fabricio Függer, Matthias Nowak, Thomas

Zdroj: NPJ Systems Biology & Applications; 4/22/2024, Vol. 10 Issue 1, p1-9, 9p

Predmety: ALLEE effect, MATHEMATICAL analysis, MICROBIAL cells, DETECTORS

Parallel Density‐Based Spatial Clustering with Dual‐Functional Memristive Crossbar Array.

Autori: Cheong, Sunwoo Shin, Dong Hoon Lee, Soo Hyung a ďalší

Zdroj: Advanced Functional Materials; Feb2024, Vol. 34 Issue 8, p1-14, 14p

Predmety: TIME complexity, EUCLIDEAN distance, PARALLEL programming

Nonlinear optimal control of a mean-field model of neural population dynamics.

Autori: Salfenmoser, Lena Obermayer, Klaus

Zdroj: Frontiers in Computational Neuroscience; 8/3/2022, Vol. 16, p1-19, 19p

Predmety: POPULATION dynamics, OPPORTUNITY costs, COST functions, DIFFERENTIAL-algebraic equations