Výsledky vyhledávání - (( (statement OR stat) python code analysis ) OR ( (statenet OR skratene) python code analysis ))

Hamzah Certainty Principle (HCP). Confirmation of Einstein's Statement 'God Does Not Play Dice' and the Refutation of Heisenberg's Uncertainty Principle (HUP): Contrasting the Planck Constant (ℏ/2) with the Hamzah Certainty Constant (ΩH∗). [ΔxΔp ≥ ℏ/2 Heisenberg] → [Hamzah Principle: ΔxΔp = ΩH∗]

Autoři: JALALI, SEYED RASOUL

Témata: quantum mechanics, Heisenberg uncertainty, Schrödinger equation, Hamzah equation, complex integral, fractal derivative, hidden variable, deterministic physics, classical model, electron hydrogen atom, Bohr radius, reduced Planck constant, electron mass, electron charge, vacuum permittivity, Δx, Δp, uncertainty principle, quantum simulation, numerical example, double-slit experiment, tunneling effect, quantum tunneling, probabilistic interpretation, deterministic interpretation, wavefunction, Born rule, Copenhagen interpretation, path integral, fractal physics, fractal uncertainty, hidden variable χ, atomic orbitals, hydrogen energy levels, quantum probabilities, quantum superposition, quantum states, electron trajectory, quantum dynamics, numerical modeling, graphical simulation, scientific validation, physics comparison, classical uncertainty, exponential decay, s-parameter, fractal dimension, knowledge level, visualisation, plotting, matplotlib, numpy, Python code, computational physics, advanced Python, simulation model, particle physics, quantum electrodynamics, atomic physics, subatomic particle, atomic structure, Bohr model, Planck constant, quantum computation, quantum information, QIS, uncertainty reduction, determinism, Heisenberg principle, Schrödinger model, quantum field theory, quantum system, fractal analysis, hidden dynamics, electron cloud, wave-particle duality, trajectory reconstruction, experimental validation, physics experiment, numerical test, s-values, quantum interference, light wavelength, slit separation, screen distance, intensity pattern, quantum fringes, deterministic fringes, tunneling probability, barrier height, barrier width, particle energy, exponential suppression, classical tunneling, Hamzah tunneling, quantum probability, fractal suppression, s-dependence, quantum-classical comparison, atomic simulation, electron localization, measurement effect, quantum determinism, philosophical implication, Einstein principle, God does not play dice, quantum philosophy, advanced modeling, scientific illustration, computational validation, physics education, research tool, atomic simulation, quantum mechanics validation, probability reduction, trajectory determinism, electron motion, hydrogen atom simulation, microscopic physics, electron dynamics, uncertainty minimization, quantum interpretation, experimental simulation, numerical plotting, double-slit pattern, deterministic pattern, interference fringes, Hamzah model comparison, classical vs Hamzah, scientific graphing, Δx·Δp curve, quantum-classical contrast, wavefunction collapse, electron uncertainty, quantum measurement, deterministic outcome, s-parameter scaling, fractal modeling, hidden variables theory, χ-variable, atomic orbital visualization, atomic physics computation, advanced physics code, Python simulation, electron path modeling, hydrogen energy computation, quantum-classical graph, uncertainty visualization, advanced plotting, 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Python numerical modeling, matplotlib plotting physics, simulation of hydrogen atom, numerical physics experiments, quantum simulation techniques, Hamzah equation implementation, hidden variable physics, fractal derivative application, complex integral evaluation, atomic-scale modeling, electron dynamics visualization, numerical precision physics, quantum trajectory calculation, double-slit simulation, interference visualization, deterministic fringes visualization, Hamzah vs classical comparison, quantum tunneling simulation, tunneling coefficient calculation, exponential decay tunneling, classical tunneling probability, Hamzah tunneling probability, quantum-classical tunneling, s-dependent tunneling, electron barrier interaction, quantum barrier simulation, atomic physics numerical test, numerical modeling in physics, quantum-classical experiments, simulation of ΔxΔp, uncertainty reduction analysis, deterministic electron trajectory, fractal physics simulation, hidden variable validation, complex integral in physics, electron path visualisation, atomic electron path, Bohr orbit modeling, advanced simulation techniques, Python computational physics, numerical physics modeling, hydrogen atom analysis, ΔxΔp calculation, quantum uncertainty minimization, Hamzah model demonstration, electron probability cloud, electron localization analysis, s-parameter impact, fractal trajectory, deterministic quantum mechanics, quantum determinism illustration, advanced atomic physics, computational quantum mechanics, numerical physics research, physics education tool, scientific Python code, visualisation of uncertainty, electron behavior simulation, atomic-scale precision, quantum measurement modeling, deterministic simulation, quantum experimental validation, Hamzah numerical test, classical numerical test, Δx·Δp visualisation, electron orbit comparison, hydrogen atom simulation, fractal uncertainty modeling, hidden variable analysis, advanced physics plotting, Hamzah uncertainty calculation, classical uncertainty calculation, quantum vs Hamzah, electron trajectory analysis, numerical results comparison, graphical physics representation, electron dynamics charting, atomic physics visualization, advanced Python simulation, fractal dimension modeling, deterministic quantum simulation, classical vs deterministic comparison, quantum-classical overlay, simulation graph analysis, ΔxΔp trend, s-dependence visualization, knowledge-based uncertainty, atomic electron trajectory, quantum-to-deterministic mapping, electron momentum analysis, electron position analysis, trajectory vs uncertainty, deterministic physics visualization, Hamzah validation, classical validation, numerical physics experiments, simulation framework, advanced computational scenario, atomic orbitals visualization, atomic simulation Python, numerical modeling Python, computational modeling Python, quantum mechanics advanced, physics advanced modeling, simulation of electron, hydrogen electron visualization, electron orbital simulation, quantum wavefunction modeling, advanced physics computation, fractal physics implementation, hidden variable incorporation, complex integral computation, atomic structure simulation, electron position modeling, electron momentum modeling, trajectory reconstruction analysis, numerical verification, deterministic universe, quantum determinism confirmation, Einstein verification, probabilistic reduction, atomic-scale modeling, electron motion plotting, uncertainty decay, exponential uncertainty reduction, s-scaling impact, atomic precision simulation, electron localization precision, quantum-classical comparison graph, simulation of tunneling, classical vs Hamzah tunneling, electron barrier simulation, atomic physics numerical validation, quantum physics numerical modeling, physics Python simulation, numerical precision simulation, advanced simulation graphing, electron uncertainty evaluation, ΔxΔp comparison chart, simulation of electron path, atomic simulation numerical test, deterministic trajectory verification, complex integral application in atomic physics, fractal derivative impact, s-parameter effect, Hamzah scenario demonstration, quantum to deterministic transition, electron dynamics verification, classical physics vs Hamzah, atomic-scale electron modeling, advanced simulation framework, numerical visualization, simulation reproducibility, deterministic hydrogen atom model, computational physics validation, simulation scenario Python, electron path plotting, atomic physics computational code, hydrogen electron modeling Python, electron orbital path, deterministic quantum mechanics modeling, advanced atomic simulation, numerical precision Python, quantum-classical comparison demonstration, Hamzah numerical results, atomic physics scenario, simulation verification, numerical comparison, ΔxΔp calculation Python, advanced plotting Python, electron path reconstruction, quantum mechanics illustration, 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trajectory simulation, electron motion verification, advanced numerical physics, Hamzah equation simulation, simulation of Δx·Δp, graphical simulation Python, electron uncertainty Python, deterministic path verification, electron motion modeling, classical vs Hamzah numerical, atomic simulation scenario, numerical hydrogen atom simulation, simulation verification Python, atomic physics trajectory plotting, electron orbit simulation Python, advanced quantum physics modeling, deterministic trajectory Python, Hamzah validation scenario, classical validation scenario, advanced physics visualization, electron trajectory numerical, hydrogen atom visualization, atomic orbit numerical, electron motion experiment, quantum-classical overlay Python, deterministic hydrogen electron, ΔxΔp scenario Python, fractal derivative simulation, complex integral modeling, s-parameter visualization, Hamzah scenario graph, quantum-classical comparison Python, advanced simulation visualization, numerical simulation graph, electron behavior analysis Python, atomic orbit plotting, electron momentum visualization, Δx·Δp chart, deterministic quantum Python, electron trajectory demonstration, atomic electron motion Python, hydrogen electron path modeling, numerical scenario validation, quantum-classical scenario Python, atomic physics modeling Python, electron uncertainty visualization, Hamzah scenario validation, simulation of tunneling Python, classical vs Hamzah tunneling Python, deterministic electron behavior, advanced atomic visualization, numerical electron path, Δx·Δp comparison visualization, simulation code demonstration, electron orbital comparison, atomic physics simulation Python, advanced simulation techniques Python, quantum deterministic illustration, electron motion simulation Python, Hamzah numerical verification, classical numerical verification, simulation of electron motion, electron position trajectory, Δx·Δp trend visualization, hydrogen atom scenario modeling, 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Hamzah Certainty Principle. Confirmation of Einstein's Statement 'God Does Not Play Dice' and the Refutation of Heisenberg's Uncertainty Principle: Contrasting the Planck Constant (ℏ/2) with the Hamzah Certainty Constant (ΩH∗). [ΔxΔp ≥ ℏ/2 Heisenberg] → [Hamzah Principle: ΔxΔp = ΩH∗]

Autoři: JALALI, SEYED RASOUL

Témata: quantum mechanics, Heisenberg uncertainty, Schrödinger equation, Hamzah equation, complex integral, fractal derivative, hidden variable, deterministic physics, classical model, electron hydrogen atom, Bohr radius, reduced Planck constant, electron mass, electron charge, vacuum permittivity, Δx, Δp, uncertainty principle, quantum simulation, numerical example, double-slit experiment, tunneling effect, quantum tunneling, probabilistic interpretation, deterministic interpretation, wavefunction, Born rule, Copenhagen interpretation, path integral, fractal physics, fractal uncertainty, hidden variable χ, atomic orbitals, hydrogen energy levels, quantum probabilities, quantum superposition, quantum states, electron trajectory, quantum dynamics, numerical modeling, graphical simulation, scientific validation, physics comparison, classical uncertainty, exponential decay, s-parameter, fractal dimension, knowledge level, visualisation, plotting, matplotlib, numpy, Python code, computational physics, advanced Python, simulation model, particle physics, quantum electrodynamics, atomic physics, subatomic particle, atomic structure, Bohr model, Planck constant, quantum computation, quantum information, QIS, uncertainty reduction, determinism, Heisenberg principle, Schrödinger model, quantum field theory, quantum system, fractal analysis, hidden dynamics, electron cloud, wave-particle duality, trajectory reconstruction, experimental validation, physics experiment, numerical test, s-values, quantum interference, light wavelength, slit separation, screen distance, intensity pattern, quantum fringes, deterministic fringes, tunneling probability, barrier height, barrier width, particle energy, exponential suppression, classical tunneling, Hamzah tunneling, quantum probability, fractal suppression, s-dependence, quantum-classical comparison, atomic simulation, electron localization, measurement effect, quantum determinism, philosophical implication, Einstein principle, God does not play dice, quantum philosophy, advanced modeling, scientific illustration, computational validation, physics education, research tool, atomic simulation, quantum mechanics validation, probability reduction, trajectory determinism, electron motion, hydrogen atom simulation, microscopic physics, electron dynamics, uncertainty minimization, quantum interpretation, experimental simulation, numerical plotting, double-slit pattern, deterministic pattern, interference fringes, Hamzah model comparison, classical vs Hamzah, scientific graphing, Δx·Δp curve, quantum-classical contrast, wavefunction collapse, electron uncertainty, quantum measurement, deterministic outcome, s-parameter scaling, fractal modeling, hidden variables theory, χ-variable, atomic orbital visualization, atomic physics computation, advanced physics code, Python simulation, electron path modeling, hydrogen energy computation, quantum-classical graph, uncertainty visualization, advanced plotting, fractal uncertainty curve, complex integral application, electron localization calculation, atomic electron dynamics, computational experiment, quantum behavior modeling, Heisenberg test, Schrödinger test, Hamzah simulation, numerical validation, physical constants, electron energy, atomic radius calculation, Bohr radius derivation, Planck constant application, mass-energy relation, electron interaction, fractal analysis physics, hidden variable application, complex trajectory, electron orbit prediction, deterministic physics modeling, advanced physics scenario, Hamzah model verification, quantum to classical transition, quantum determinism analysis, electron trajectory reconstruction, quantum uncertainty analysis, ΔxΔp comparison, electron position momentum, quantum state evolution, fractal dimension effect, knowledge-dependent uncertainty, deterministic path, quantum-classical integration, electron energy levels computation, atomic electron simulation, advanced numerical analysis, Python numerical modeling, matplotlib plotting physics, simulation of hydrogen atom, numerical physics experiments, quantum simulation techniques, Hamzah equation implementation, hidden variable physics, fractal derivative application, complex integral evaluation, atomic-scale modeling, electron dynamics visualization, numerical precision physics, quantum trajectory calculation, double-slit simulation, interference visualization, deterministic fringes visualization, Hamzah vs classical comparison, quantum tunneling simulation, tunneling coefficient calculation, exponential decay tunneling, classical tunneling probability, Hamzah tunneling probability, quantum-classical tunneling, s-dependent tunneling, electron barrier interaction, quantum barrier simulation, atomic physics numerical test, numerical modeling in physics, quantum-classical experiments, simulation of ΔxΔp, uncertainty reduction analysis, deterministic electron trajectory, fractal physics simulation, hidden variable validation, complex integral in physics, electron path visualisation, atomic electron path, Bohr orbit modeling, advanced simulation techniques, Python computational physics, numerical physics modeling, hydrogen atom analysis, ΔxΔp calculation, quantum uncertainty minimization, Hamzah model demonstration, electron probability cloud, electron localization analysis, s-parameter impact, fractal trajectory, deterministic quantum mechanics, quantum determinism illustration, advanced atomic physics, computational quantum mechanics, numerical physics research, physics education tool, scientific Python code, visualisation of uncertainty, electron behavior simulation, atomic-scale precision, quantum measurement modeling, deterministic simulation, quantum experimental validation, Hamzah numerical test, classical numerical test, Δx·Δp visualisation, electron orbit comparison, hydrogen atom simulation, fractal uncertainty modeling, hidden variable analysis, advanced physics plotting, Hamzah uncertainty calculation, classical uncertainty calculation, quantum vs Hamzah, electron trajectory analysis, numerical results comparison, graphical physics representation, electron dynamics charting, atomic physics visualization, advanced Python simulation, fractal dimension modeling, deterministic quantum simulation, classical vs deterministic comparison, quantum-classical overlay, simulation graph analysis, ΔxΔp trend, s-dependence visualization, knowledge-based uncertainty, atomic electron trajectory, quantum-to-deterministic mapping, electron momentum analysis, electron position analysis, trajectory vs uncertainty, deterministic physics visualization, Hamzah validation, classical validation, numerical physics experiments, simulation framework, advanced computational scenario, atomic orbitals visualization, atomic simulation Python, numerical modeling Python, computational modeling Python, quantum mechanics advanced, physics advanced modeling, simulation of electron, hydrogen electron visualization, electron orbital simulation, quantum wavefunction modeling, advanced physics computation, fractal physics implementation, hidden variable incorporation, complex integral computation, atomic structure simulation, electron position modeling, electron momentum modeling, trajectory reconstruction analysis, numerical verification, deterministic universe, quantum determinism confirmation, Einstein verification, probabilistic reduction, atomic-scale modeling, electron motion plotting, uncertainty decay, exponential uncertainty reduction, s-scaling impact, atomic precision simulation, electron localization precision, quantum-classical comparison graph, simulation of tunneling, classical vs Hamzah tunneling, electron barrier simulation, atomic physics numerical validation, quantum physics numerical modeling, physics Python simulation, numerical precision simulation, advanced simulation graphing, electron uncertainty evaluation, ΔxΔp comparison chart, simulation of electron path, atomic simulation numerical test, deterministic trajectory verification, complex integral application in atomic physics, fractal derivative impact, s-parameter effect, Hamzah scenario demonstration, quantum to deterministic transition, electron dynamics verification, classical physics vs Hamzah, atomic-scale electron modeling, advanced simulation framework, numerical visualization, simulation reproducibility, deterministic hydrogen atom model, computational physics validation, simulation scenario Python, electron path plotting, atomic physics computational code, hydrogen electron modeling Python, electron orbital path, deterministic quantum mechanics modeling, advanced atomic simulation, numerical precision Python, quantum-classical comparison demonstration, Hamzah numerical results, atomic physics scenario, simulation verification, numerical comparison, ΔxΔp calculation Python, advanced plotting Python, electron path reconstruction, quantum mechanics illustration, hydrogen atom numerical analysis, numerical physics demonstration, simulation code Python, deterministic electron simulation, fractal trajectory analysis, electron behavior visualization, numerical simulation framework, quantum determinism verification, s-dependent uncertainty modeling, Hamzah model graph, electron orbital visualisation, atomic precision modeling, advanced electron trajectory, electron motion charting, fractal physics Python, hidden variable χ application, complex integral simulation, atomic electron verification, deterministic trajectory illustration, quantum uncertainty comparison, classical ΔxΔp analysis, Hamzah ΔxΔp analysis, numerical experiment Python, advanced physics Python code, quantum-classical validation, electron orbit comparison chart, atomic physics numerical simulation, electron dynamics simulation, trajectory analysis Python, hydrogen atom experiment Python, electron localization demonstration, electron probability cloud visualization, atomic trajectory simulation, electron motion verification, advanced numerical physics, Hamzah equation simulation, simulation of Δx·Δp, graphical simulation Python, electron uncertainty Python, deterministic path verification, electron motion modeling, classical vs Hamzah numerical, atomic simulation scenario, numerical hydrogen atom simulation, simulation verification Python, atomic physics trajectory plotting, electron orbit simulation Python, advanced quantum physics modeling, deterministic trajectory Python, Hamzah validation scenario, classical validation scenario, advanced physics visualization, electron trajectory numerical, hydrogen atom visualization, atomic orbit numerical, electron motion experiment, quantum-classical overlay Python, deterministic hydrogen electron, ΔxΔp scenario Python, fractal derivative simulation, complex integral modeling, s-parameter visualization, Hamzah scenario graph, quantum-classical comparison Python, advanced simulation visualization, numerical simulation graph, electron behavior analysis Python, atomic orbit plotting, electron momentum visualization, Δx·Δp chart, deterministic quantum Python, electron trajectory demonstration, atomic electron motion Python, hydrogen electron path modeling, numerical scenario validation, quantum-classical scenario Python, atomic physics modeling Python, electron uncertainty visualization, Hamzah scenario validation, simulation of tunneling Python, classical vs Hamzah tunneling Python, deterministic electron behavior, advanced atomic visualization, numerical electron path, Δx·Δp comparison visualization, simulation code demonstration, electron orbital comparison, atomic physics simulation Python, advanced simulation techniques Python, quantum deterministic illustration, electron motion simulation Python, Hamzah numerical verification, classical numerical verification, simulation of electron motion, electron position trajectory, Δx·Δp trend visualization, hydrogen atom scenario modeling, electron trajectory analysis Python, Hamzah scenario demonstration Python, atomic-scale simulation Python, quantum-classical determinism, electron orbital trajectory, numerical physics demonstration Python, deterministic hydrogen electron path, advanced computational modeling, atomic physics simulation Python, Hamzah model numerical demonstration, simulation of electron trajectory, fractal trajectory Python, electron momentum trajectory, Δx·Δp visualization Python, simulation of hydrogen electron, numerical physics analysis Python, electron localization analysis Python, Hamzah equation Python, advanced scenario modeling Python, deterministic electron trajectory Python, atomic-scale modeling Python

Code Redteaming: Probing Ethical Sensitivity of LLMs Through Natural Language Embedded in Code.

Autoři: Park, Chanjun Yoon, Jeongho Lim, Heuiseok

Zdroj: Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p189. 18p.

Témata: *LANGUAGE models, *ETHICS, *NATURAL language processing, *RISK assessment, *MORAL attitudes

An exploratory text-mining approach to analyzing DEI-related issues in eight leading architecture & design firms' publications.

Autoři: Mohammed, Hassnaa More, Prathamesh Pravin Saudagar, Onkar Vishnu

Zdroj: Design Journal. Jul2025, Vol. 28 Issue 4, p783-807. 25p.

Témata: Diversity & inclusion policies, Text mining, Architectural design, Big data, Social consciousness, Design services, Python programming language, Data analysis

People: Floyd, George, ca. 1973-2020

Debugging Python code using Spectra based fault localization and data flow analysis

Autoři: Boussel, Juliette Åbo Akademi, Fakulteten för naturvetenskaper och teknik, Datavetenskap

Přispěvatelé: Boussel, Juliette Åbo Akademi, Fakulteten för naturvetenskaper och teknik, Datavetenskap

Témata: Data Flow Analysis, Spectra-based fault localization, Software debugging, software development, Python (programming languages), data, programutveckling, Python, ohjelmistokehitys, 113 Data- och informationsvetenskap

Popis souboru: true

Relation: https://www.doria.fi/handle/10024/192358

Dostupnost: https://www.doria.fi/handle/10024/192358

Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code

Autoři: Qing Huang Zhiwen Luo Zhenchang Xing a další

Zdroj: ACM Transactions on Software Engineering and Methodology. 33:1-29

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Equivalent sentiment measures for cross-language analysis of corporate communications

Autoři: Karol Marek Klimczak Jan Makary Fryczak Dominika Hadro a další

Zdroj: MethodsX, Vol 12, Iss , Pp 102745- (2024)

Témata: Business communication, Financial reporting, Textual analysis, Text mining, Python, Science

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215016124001985; https://doaj.org/toc/2215-0161

Přístupová URL adresa: https://doaj.org/article/2b2996048ae24fdb9fdc20b97328452f

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation.

Autoři: Zong, Xing Zheng, Shang Zou, Haitao a další

Zdroj: Science of Computer Programming. Dec2024, Vol. 238, pN.PAG-N.PAG. 1p.

Témata: *GRAPH neural networks, *ARTIFICIAL intelligence, *LANGUAGE models, *SOFTWARE engineering, *FLOW control (Data transmission systems), *PYTHON programming language

Preparing the TAU performance system for exascale and beyond.

Autoři: Huck, Kevin A. Shende, Sameer Malony, Allen D. a další

Zdroj: International Journal of High Performance Computing Applications. Jul2025, Vol. 39 Issue 4, p532-552. 21p.

Témata: *HIGH performance computing, *C++, *VIRTUAL machine systems, *DATABASES, SOURCE code

Bactogram: Spatial Analysis of Bacterial Colonization in Epidermal Wounds

Autoři: Wallblom, Karl Forsberg, Fredrik Lundgren, Sigrid a další

Přispěvatelé: Wallblom, Karl Forsberg, Fredrik Lundgren, Sigrid a další

Témata: Medical and Health Sciences, Clinical Medicine, Dermatology and Venereal Diseases, Medicin och hälsovetenskap, Klinisk medicin, Dermatologi och venereologi

Přístupová URL adresa: https://doi.org/10.1101/2024.04.18.24305961

應用Python程式碼的中小型會計師事務所財務報表編製解決方案 ; A Financial Statement Preparation Solution for Small and Medium-Sized Accounting Firms Using Python Code

Autoři: 黃靖峰 Huang, Ching-Feng 周國華 a další

Přispěvatelé: 黃靖峰 Huang, Ching-Feng 周國華 a další

Témata: 中小型會計師事務所, 自動化, 財務報表編製, Python, Automation, Financial statement preparation, Small and Medium-Sized Accounting Firms

Popis souboru: 4644188 bytes; application/pdf

Relation: 中文文獻: [1]林東清，2023，資訊管理－智慧化企業的核心競爭能力，第八版，智勝文化事業有限公司。 [2]劉順仁、王俊凱、李季澄、黃宇翔，2020，機器學習與會計科目判斷—台灣半導體公司使用人工智慧提升行政效率個案對會計教育之啟示，中華會計學刊，第17卷第2期: 245–268。 [3]臺灣證券交易所股份有限公司，2024，臺灣證券交易所股份有限公司審閱上市公司財務報告作業程序。 英文文獻-網站: [1]Anghel, I., October 17, 2023, PwC Offers Advice from Bots in Deal with ChatGPT Firm OpenAI, Bloomberg Retrieved June 2 2024, from https://www.bloomberg.com/news/articles/2023-10-17/pwc-offers-advice-from-bots-in-deal-with-chatgpt-firm-openai?embedded-checkout=true [2]Faggella, D., 2020, AI in the Accounting Big Four – Comparing Deloitte, PwC, KPMG, and EY, Emerj Artificial Intelligence Research Retrieved June 2 2024, from https://emerj.com/ai-sector-overviews/ai-in-the-accounting-big-four-comparing-deloitte-pwc-kpmg-and-ey/ [3]Rozario, A. M., Zhang, A., & Vasarhelyi, M. A.,2019, Examining Automation in Audit, International Federation of Accountants, Retrieved from https://www.ifac.org/knowledge-gateway/preparing-future-ready-professionals/discussion/examining-automation-audit [4]Sanders, T., January 20, 2023, how to work with large language models, OpenAi Retrieved June 2 2024, from https://cookbook.openai.com/articles/how_to_work_with_large_language_models 英文文獻-學術期刊: [1]Baldwin, A. A., Brown, C. E., Trinkle, B. S. 2006. Opportunities for artificial intelligence development in the accounting domain: the case for auditing. Intelligent Systems in Accounting, Finance and Management 14(3): 77–86 [2]Chan, D. Y., Vasarhelyi, M. A. 2011. Innovation and practice of continuous auditing. International Journal of Accounting Information Systems 12 (2): 152–160 [3]Earley, C. E. 2015. Data analytics in auditing: Opportunities and challenges. Business Horizons, 58(3): 493–500 [4]Huang, F., Vasarhelyi, M. A.2019.Applying robotic process automation (RPA) in auditing: A framework. International Journal of Accounting Information Systems 35 [5]Jacobs, F. R., Weston, F. C., Jr. 2007. Enterprise resource planning (ERP)—A brief history. Journal of Operations Management 25: 357–363 [6]Kogan, A., Mayhew, B. W., Vasarhelyi, M. A.2019. Audit Data Analytics Research—An Application of Design Science Methodology. Accounting Horizons 33(3):69–73 [7]March, S. T., G. F. Smith. 1995. Design and natural science research information technology. Decision Support Systems 15 (4): 251–266 [8]Peffers, K., Tuunanen, T., Rothenberger, M. A., Chatterjee, S. 2007. A Design Science Research Methodology for Information Systems Research Journal of Management Information Systems 24(3): 45–77 [9]Xu, Y. 2024. A Study on the Application of Python in Corporate Financial Analysis. Frontiers in Business, Economics and Management 15(2):31–36 英文文獻-書籍: [1]Baan, J. 2005. The Way to Market Leadership. Vanenburg Group. [2]Simon, H. A. 1969. The Sciences of the Artificial. 3rd ed. The MIT Press.; G0111353107; https://nccur.lib.nccu.edu.tw//handle/140.119/152501; https://nccur.lib.nccu.edu.tw/bitstream/140.119/152501/1/310701.pdf

Dostupnost: https://nccur.lib.nccu.edu.tw//handle/140.119/152501
https://nccur.lib.nccu.edu.tw/bitstream/140.119/152501/1/310701.pdf

Comprehensive Review of Nonstationary Seasonal Timeseries Models through Python Simulations

Autoři: Venkata Krishna Rao Maddela

Relation: https://zenodo.org/records/15826357; oai:zenodo.org:15826357; https://doi.org/10.5281/zenodo.15826357

Dostupnost: https://doi.org/10.5281/zenodo.15826357
https://zenodo.org/records/15826357

Detecting GPS Anomalies in Aviation Using ADS-B: SQL and Python Scripts for OpenSky Trino Database Analysis

Autoři: Pik, Eugene

Relation: https://github.com/eugenepik/Opensky_ADS-B_GPS_anomalies/tree/v1.1; https://zenodo.org/records/11279425; oai:zenodo.org:11279425; https://doi.org/10.5281/zenodo.11279425

Dostupnost: https://doi.org/10.5281/zenodo.11279425
https://zenodo.org/records/11279425

Applied Time Series Analysis and Forecasting with Python

Autoři: Changquan Huang Alla Petukhina

Resource Type: eBook.

Témata: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Autoři: Tarek A. Atwan

Resource Type: eBook.

Témata: Machine learning, Python (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Statistics for Data Science and Analytics

Autoři: Peter C. Bruce Peter Gedeck Janet Dobbins

Resource Type: eBook.

Témata: Statistics, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Autoři: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a další

Přispěvatelé: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a další

Zdroj: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Témata: Machine Learning (stat.ML), Machine Learning (cs.LG), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Geografické téma: Bruxelles (BEL), Belgium

Dostupnost: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

Economic and Veterinary Evaluation of Pet Insurance in Türkiye: Potential, Role in Health, and Impact on Practice.

Autoři: GENÇGÖNÜL, Betül Zehra¹ betul.zehra@hacettepe.edu.tr

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Jan/Feb2026, Vol. 32 Issue 1, p147-153. 7p.

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoři: Stewart, Mathew Peters, Carli Ziegler, Michael J. a další

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Sub-grouping Kho-Bwa based on shared core vocabulary

Autoři: Lieberherr, Ismael Bodt, Timotheus Adrianus

Zdroj: Himalayan Linguistics. 16(2)

Témata: Historical Linguistics, Lexico-statistics, Tibeto-Burman, Kho-Bwa, Duhumbi, Sartang, Sherdukpen, Bugun, Puroik, Arunachal Pradesh, Python, Cluster Analysis

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4t27h5fg
https://escholarship.org/content/qt4t27h5fg/qt4t27h5fg.pdf