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PRINSAS 2.0: a Python‐based graphical user interface tool for fitting polydisperse spherical pore models in small‐angle scattering analysis of porous materials.
Vu, Phung Nhu Hao ; Radlinski, Andrzej P. ; Blach, Tomasz ; et al.
Journal of Applied Crystallography. Aug2025, Vol. 58 Issue 4, p1486-1495. 10p.
R, Python, Excel, SPSS, SAS, and MINITAB in Banking Research.
Ozgur, Ceyhun ; Jha, Sanjeev ; Wallner, Madison
AIMS International Journal of Management. Jan2022, Vol. 16 Issue 1, p51-65. 15p.
SAS in ESA Datalabs: A new platform for XMM-Newton analysis
Gülbahar, Esin G. ; Diez, Camille M. ; Ibarra, Aitor ; et al.
In Astronomy and Computing October 2025 53
Python for SAS Users ; A SAS-Oriented Introduction to Python
Betancourt, Randy ; Chen, Sarah
ISBN 9781484250006 9781484250013.
From Clicks to Conversations: Evaluating the Effectiveness of Conversational Agents in Statistical Analysis.
Wen, Qifu ; Kochhar, Prishita ; Zeyada, Sherif ; et al.
International Journal of Human-Computer Interaction. Oct2025, p1-18. 18p. 6 Illustrations.
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Product backlog optimization technique in agile software development using clustering algorithm.
Sharma, Sarika ; Kumar, Deepak
Multimedia Tools & Applications; Dec2023, Vol. 82 Issue 30, p46695-46715, 21p
A real-time integrated framework to support clinical decision making for covid-19 patients
Murri, Rita ; Masciocchi, Carlotta ; Lenkowicz, Jacopo ; et al.
In Computer Methods and Programs in Biomedicine April 2022 217
BEES: Bayesian Ensemble Estimation from SAS
Bowerman, Samuel ; Curtis, Joseph E. ; Clayton, Joseph ; et al.
In Biophysical Journal 6 August 2019 117(3):399-407
SasAgent: Multi-Agent AI System for Small-Angle Scattering Data Analysis
Ding, Lijie ; Do, Changwoo
Innovation management model for functional food ingredients and additives. Alignment with hype cycle, Python S-curves, and open innovation variables
Montoya, Luis Horacio Botero ; Sossa, Jhon Wilder Zartha ; Piedrahíta, Juan Carlos Palacio ; et al.
In Journal of Open Innovation: Technology, Market, and Complexity September 2024 10(3)
An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping
Omid Rahmati ; Davoud Davoudi Moghaddam ; Vahid Moosavi ; et al.
Remote Sensing, Vol 11, Iss 11, p 1375 (2019)
Computer Resources to Support SQC
Statistical Quality Control. Sep 20, 2021
Four years experience: Making sensibility testbed work for SAS
Zhuang, Yanyan ; Rafetseder, Albert ; Weiss, Richard ; et al.
2018 IEEE Sensors Applications Symposium (SAS) Sensors Applications Symposium (SAS), 2018 IEEE. :1-6 Mar, 2018
Comparing SAS® Text Miner, Python, R: Analysis on Random Forest and SVM Models for Text Mining
Jalanila, A. ; Subramanian, N.
2016 IEEE International Conference on Healthcare Informatics (ICHI) Healthcare Informatics (ICHI), 2016 IEEE International Conference on. :316-316 Oct, 2016
Visualizing the Scripts of Data Wrangling With Somnus
Xiong, K. ; Fu, S. ; Ding, G. ; et al.
IEEE Transactions on Visualization and Computer Graphics IEEE Trans. Visual. Comput. Graphics Visualization and Computer Graphics, IEEE Transactions on. 29(6):2950-2964 Jun, 2023
The application of IoT solutions in greenhouses with the aim of reducing electrical energy consumption
Šaš Milan ; Pejić Dragan
Journal on Processing and Energy in Agriculture, Vol 25, Iss 4, Pp 156-159 (2021)
Scanner data processing in a newest version of the PriceIndices package.
Białek, Jacek
Statistical Journal of the IAOS. 2022, Vol. 38 Issue 4, p1369-1397. 29p.
PyVT: A python-based open-source software for visualization and graphic analysis of fluid dynamics datasets
Liu, Qing ; Qiao, Zheng ; Lv, Yu
In Aerospace Science and Technology October 2021 117
Exposure EMF measurements with spectrum analyzers using free and open source software
Bormpantonakis, Prokopios M. ; Stratakis, Dimitrios I. ; Mastorakis, George N. ; et al.
2016 International Conference on Telecommunications and Multimedia (TEMU) Telecommunications and Multimedia (TEMU), 2016 International Conference on. :1-5 Jul, 2016
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