Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillers by Ayesha Rauf, Usama Asif, Kennedy Onyelowe, Muhammad Faisal Javed, Hisham Alabduljabbar

“…To enhance the practical usage of the study, a graphical user interface (GUI) was also created. The study revealed that 40% of the replacement of fine aggregates with mineral filler and superplasticizer shows the optimum properties. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, E. N. Dzhakhnaeva

“…Then, after reducing the dimensionality of the data, the data was reloaded, and both the model and vectorizer were retrained before being used for prediction. The tkinter module was used for the graphical interface. …”
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Self compacting concrete with recycled aggregate compressive strength prediction based on gradient boosting regression tree with Bayesian optimization hybrid model by Emad A. Abood, Zainab Abdulrdha Thoeny, Noralhuda M. Azize, Hamza Imran, Viroon Kamchoom, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

“…Finally, the model is converted into an easy-to-use graphical interface that provides civil engineers and practitioners with a useful decision-support tool for mix design optimization and quality control in real-life construction projects.…”
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VITA-D: A Radiomic Web Tool for Predicting Vitamin D Deficiency Levels by Yuliana Jiménez-Gaona, Oscar Vivanco-Galván, Darwin Castillo-Malla, Israel Vivanco-Gualán, Patricia Díaz-Guzmán

“…This study aims to predict vitamin D deficiency levels in a private database, collected from the southern part of Loja-Ecuador using a graphical web interface tool based on artificial intelligence algorithms. …”
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Image-based 3D active sample stabilization on the nanometer scale for optical microscopy by Jakob Vorlaufer, Nikolai Semenov, Caroline Kreuzinger, Manjunath G. Javoor, Bettina Zens, Nathalie Agudelo Dueñas, Mojtaba R. Tavakoli, Marek Šuplata, Wiebke Jahr, Julia Lyudchik, Andreas Wartak, Florian K.M. Schur, Johann G. Danzl

“…Our implementation requires only the addition of a simple widefield imaging path and we provide an open-source control software with graphical user interface to facilitate easy adoption of the module. …”
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Hybrid ML-based predictive modeling and GUI development of calcium aluminate cement hydration and strength optimization for advanced and durable construction applications by Muwaffaq Alqurashi

“…Hierarchical Clustering with complete linkage and Euclidean distance was employed to explore patterns and relationships among hydration products (Solid Content, Strätlingite, Gibbsite, and C₄AH₁₉), revealing insights into their formation dynamics. A user-friendly graphical user interface (GUI) was developed, delivering predictions with accuracies ranging from 91.34 % to 96.08 % for porosity and from 91.7 % to 95.58 % for compressive strength. …”
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Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches by Sanjog Chhetri Sapkota, Ajad Shrestha, Moinul Haq, Satish Paudel, Waiching Tang, Hesam Kamyab, Daniele Rocchio

“…More sophisticated machine learning techniques that improve the precision of predicting the shear capacity of UHPC beams are demonstrated in the study. Further, the use of a graphical user interface (GUI) helps researchers and engineers to make quick, well-informed decisions in real-time. …”
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Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar by Naseer Muhammad Khan, Liqiang Ma, Waleed Bin Inqiad, Muhammad Saud Khan, Imtiaz Iqbal, Muhammad Zaka Emad, Saad S. Alarifi

“…Moreover, interpretable machine learning approaches including shapely additive explanatory analysis (SHAP), individual conditional expectation (ICE), and partial dependence plots (PDP) were conducted on the XGB model which highlighted that water-to-binder ratio and sample age are some of the most significant variables to predict the C-S of MK-based cement mortars. Finally, a graphical user interface (GUI) was made for implementation of findings of this study in the civil engineering industry.…”
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SpAi: A machine-learning supported experimental workflow for high-throughput spheroid production and analysis by Nedim Hacıosmanoğlu, Murat Alp Güngen, Eylul Gulsen Yilmaz, Emre Ece, Alphan Uzun, Arda Taşcan, Burak M. Görmüş, Ismail Eş, Fatih Inci

“…We herein improved spheroid analysis by including a convolutional neural network (CNN) model, specifically U-Net, into a graphical user interface (GUI). This integration allows for automated detection and measurement of spheroid size from microscope pictures. …”
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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning by Islam N. Fathy, Hany A. Dahish, Mohammed K. Alkharisi, Alaa A. Mahmoud, Hala Emad Elden Fouad

“…The SHAP analysis, Individual Conditional Expectation (ICE), and Partial Dependence Plots (PDP) revealed that GWP and MWP positively influence the compressive strength, while the temperature exerts the most negative influence on predicting the compressive strength. Finally, a graphical user interface (GUI) for the compressive strength of concrete containing GWP and MWP subjected to elevated temperatures has been created, which may be of considerable assistance, guidance, and efficiency in research and construction industry contexts.…”
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2dSpAn-Auto: an automated tool for analysis of two-dimensional dendritic spine images by Shauvik Paul, Rahul Pramanick, Nirmal Das, Ewa Baczynska, Zeinab Bedrood, Tapabrata Chakraborti, Subhadip Basu, Jakub Wlodarczyk

“…The developed 2dSpAn-Auto software tool is most suitable for automated batch processing while maintaining user flexibility through an intuitive graphical interface. Results 2dSpAn-Auto is validated across multiple imaging modalities (in vitro, ex vivo, and in vivo) for automatic assessment of dendritic spine parameters including spine density, morphometry (spine area, spine length, head width, minimum and average neck width), and total dendrite length. …”
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MultiOptForest: An interactive multi-objective optimization tool for forest planning and scenario analysis [version 2; peer review: 1 approved, 2 approved with reservations, 1 not... by Kyle Eyvindson, Markus Hartikainen, Daniel Burgas, Julian Klein, Jussi Hakanen, Clara Antón-Fernández, Michael Emmerich, Tord Snäll, Mikko Mönkkönen, Marta Vergarechea, Astor Toraño Caicoya, Clemens Blattert

“…The software flexibly imports data, allowing for the use of a variety of forest simulator outputs. The user provides preference information through a user-friendly graphical interface, where the range of possible values for each objective is provided. …”
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Simulation of the Discharge of a Supercapacitor Storage Device during Current Stabilization in the Windings of a Multi-Section Magnetic System by Pavel V. Vykhodtsev, Vladislav V. Rostov, Alexey S. Stepchenko

“…This model is implemented in the National Instruments LabView 2012 software package and has a user-friendly graphical interface. The simulation results were tested on equipment consisting of a power supply based on a supercapacitor storage device and two-section magnetic system. …”
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Seeding Status Monitoring System for Toothed-Disk Cotton Seeders Based on Modular Optoelectronic Sensors by Tao Jiang, Xuejun Zhang, Zenglu Shi, Jingyi Liu, Wei Jin, Jinshan Yan, Duijin Wang, Jian Chen

“…Additionally, an STM32 micro-controller serves as the core of the signal acquisition circuit, sending collected data to the PC terminal via serial port communication. The graphical display interface, designed with LVGL (Light and Versatile Graphics Library), updates the seeding monitoring information in real time. …”
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Next-generation cutting-edge hybrid AI frameworks for predicting rheological properties and CO₂ emissions in alkali-activated concrete by Lu Zhang, Kangning Liu, Ali H. AlAteah, Sadiq Alinsaif, Muhammad Sufian, Ayaz Ahmad

“…Finally, a Python-based graphical user interface (GUI) was developed, making the predictive tools accessible to users without prior AI knowledge. …”
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Computer-Aided Supporting Models of Customized Crack Propagation Sensors for Analysis and Prototyping by Paulina Kurnyta-Mazurek, Rafał Wrąbel, Artur Kurnyta

“…The graphical user interface (GUI) add-on based on the Abaqus 2018 software engine is prepared for advanced mechanical analysis simulations of sensor materials in selected loading scenarios. …”
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StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis. by Nicola G Criscuolo, Claudia Angelini

“…In particular, StructuRly combines the statistical power of the R language with the friendly interfaces implemented using the shiny libraries to provide a novel tool for performing population clustering, evaluating several genetic indexes, and comparing results. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

“…Then, after reducing the dimensionality of the data, the data was reloaded, and both the model and vectorizer were retrained before being used for prediction. The tkinter module was used for the graphical interface. …”
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Modernization of the Educational Demonstration Stand as A Way to Improve the Quality of Practical Training of Future Engineers by V. G. Sidorov, G. M. Grinberg, D. A. Barkhatova

“…The display, acting not only as an information display organ, but also as a control element, allows you to introduce additional functionality into the work of the stand related to the capabilities of the programming language, better known as GUI (Graphical User Interface). In addition, in the process of modernizing a stand, students often require additional parts, the implementation of which is realized using 3D printing technology.In conclusion, the experience of the process of modernizing the educational stand “8K-14 rocket model” is summarized as a way to strengthen the practical training of future engineering personnel. …”
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Computer vision-based detection of liquid levels within cylindrical tanks in wastewater treatment by MA Huanhuan, LI Yunbei, ZHANG Yuanxin, HE Yu, SHI Ningning, FAN Anrui, ZHOU Linhao, HUANG Biaobing, HONG Shuangxi, ZHANG Xiaoju

“…Through a graphical user interface (GUI), the system provided liquid level visualization, remote linkage and real-time correction. …”
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