Search Results - (( (stateene OR state) python code analysis ) OR ( (statepoint OR statene) python code analysis ))*

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Subject Terms: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.

Authors: Crookston, Brian M. Arnold, Caitlin R.

Source: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Subject Terms: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

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

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

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: 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

File Description: application/pdf

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

Modelling the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Authors: Özbey, Mehmet Furkan Turhan, Cihan

Source: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Subject Terms: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

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

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

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

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

DeVAIC: A tool for security assessment of AI-generated code.

Authors: Cotroneo, Domenico De Luca, Roberta Liguori, Pietro

Source: Information & Software Technology. Jan2025, Vol. 177, pN.PAG-N.PAG. 1p.

Subject Terms: *COMPUTER software development, *ARTIFICIAL intelligence, *SECURITY management, CODE generators, SOURCE code

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Authors: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

Source: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Subject Terms: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Authors: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

Source: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.

Subject Terms: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks

An algorithm for automated extraction of resonance parameters from the stabilization method.

Authors: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. et al.

Source: Computer Physics Communications. Nov2025, Vol. 316, pN.PAG-N.PAG. 1p.

Subject Terms: *RESONANCE, *DENSITY of states, *STATISTICAL accuracy, *EIGENANALYSIS, *PYTHON programming language, *ALGORITHMS, *DATA extraction

Risk Model for Metastasis Detection of Neuroblastoma (NB)

Authors: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Contributors: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Source: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

PLangRec: Deep-learning model to predict the programming language from a single line of code.

Authors: Rodriguez-Prieto, Oscar Pato, Alejandro Ortin, Francisco

Source: Future Generation Computer Systems. May2025, Vol. 166, pN.PAG-N.PAG. 1p.

Subject Terms: *NATURAL language processing, *PROGRAMMING languages, DEEP learning, WEB-based user interfaces, SOURCE code

A Firm's Operational Risk: Data Set and Empirical Evidence.

Authors: Astvansh, Vivek Simpson, Joseph J.

Source: Manufacturing & Service Operations Management (M&SOM). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Subject Terms: *OPERATIONAL risk, *TRANSFORMER models, *STAKEHOLDER theory, *LEGAL liability, *FINANCIAL disclosure, *EMPIRICAL research, NUMERICAL analysis

Geographic Terms: UNITED States

Rapid Development of Interferometric Software Using MIRIAD and Python

Authors: Williams, Peter K. G. Law, Casey J. Bower, Geoffrey C.

Source: Publications of the Astronomical Society of the Pacific, 2012 . 124(916), 624-636.

Access URL: https://www.jstor.org/stable/10.1086/666604

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Authors: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge et al.

Source: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-11. 11p.

Subject Terms: *ESCHERICHIA coli, *METABOLIC models, *CHEMICAL kinetics, *METABOLIC flux analysis, *MATHEMATICAL programming

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Authors: Cordier, Chiara Jézéquel, Pascal Campone, Mario et al.

Source: Bioinformatics. Jun2025, Vol. 41 Issue 6, p1-13. 13p.

Subject Terms: *PREDICTION algorithms, *TRANSCRIPTOMES, *DEGREES of freedom, *INDIVIDUALIZED medicine, *MACHINE learning

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

Source: Bioinformatics. Sep2025, Vol. 41 Issue 9, p1-9. 9p.

Subject Terms: *CANCER research, *GENOTYPE-environment interaction, *DIAGNOSTIC imaging, *DEEP learning, *EMPIRICAL research, *COMPUTER simulation

HGAN4VD: Leveraging Heterogeneous Graph Attention Networks for enhanced Vulnerability Detection.

Authors: Zhang, Yucheng Ju, Xiaolin Chen, Xiang et al.

Source: Computers & Security. Oct2025, Vol. 157, pN.PAG-N.PAG. 1p.

Subject Terms: DEEP learning, GRAPH neural networks, FEATURE extraction, PENETRATION testing (Computer security)

Quantifying the nuclear localization of fluorescently tagged proteins.

Authors: Hurbain, Julien Wolde, Pieter Rein ten Swain, Peter S

Source: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-8. 8p.

Subject Terms: *CONVOLUTIONAL neural networks, *MACHINE learning, *CELLULAR signal transduction, *IMAGE processing, *FLUORESCENT proteins, *CELL analysis

Development of a Three-Dimensional CFD Model and OpenCV Code by Comparing with Experimental Data for Spillway Model Studies.

Authors: Varçin, Hakan Üneş, Fatih Gemici, Ercan et al.

Source: Water (20734441); Feb2023, Vol. 15 Issue 4, p756, 31p

Subject Terms: THREE-dimensional modeling, SPILLWAYS, WATER depth, IMAGE processing, DATA modeling

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Authors: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Subject Terms: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Company/Entity: OpenAI Inc.