AMMonitor 2: Remote monitoring of biodiversity in an adaptive framework in R by Laurence Clarfeld, Caroline Tang, Kaitlin Huber, Cathleen Balantic, Therese Donovan

“…AMMonitor is an R package for remote wildlife monitoring with greatly increased functionality in the version 2 release, including a new database structure, support for both photographs and audio monitoring, a rich graphical user interface (Shiny) that includes media labelling tools, integration of machine learning classification outputs and 20 in‐depth tutorials. …”
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Investigating the Impact of Training Protocols on Myoelectric Pattern Recognition Control in Upper-Limb Amputees by Elaheh Mohammadreza, Vinicius Prado da Fonseca, Xianta Jiang

“…We investigate the effect of four distinct training protocols in pattern recognition control for upper-limb prostheses, including training without a prosthetic hand, training with a prosthetic hand and static gestures, training with a prosthetic hand and dynamic movements guided by a graphical user interface (GUI), and training with a prosthetic hand having dynamic transfers and unguided. …”
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Desktop Software for Patch-Clamp Raw Binary Data Conversion and Preprocessing by Ning Zhang, Yutao Tian, Lei Zhang, Zhuo Yang, Tao Zhang, Jishou Ruan

“…By a graphical user interface, raw binary data files can be converted into several kinds of ASCII text files for further analysis, with several preprocessing options. …”
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Polarity-JaM: an image analysis toolbox for cell polarity, junction and morphology quantification by Wolfgang Giese, Jan Philipp Albrecht, Olya Oppenheim, Emir Bora Akmeriç, Julia Kraxner, Deborah Schmidt, Kyle Harrington, Holger Gerhardt

“…We also provide a web application for circular statistics and data visualisation, available at www.polarityjam.com , and a Napari plug-in, each with a graphical user interface to facilitate exploratory analysis. …”
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TXM-Pal: a companion software for advanced data processing in spectroscopic X-ray microscopy by Sugeun Jo, Sangwoo Kim, Jun Lim

“…This software includes a user-friendly graphical user interface that facilitates XANES analysis, allowing images to be processed within a few minutes. …”
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Atten‐SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over‐segmentation by Swagata Kundu, Dimitrios Toumpanakis, Johan Wikstrom, Robin Strand, Ashis Kumar Dhara

“…This hybrid architecture helps to learn the input volume representation in sequences and focuses on the global multi‐scale information. An interactive graphical user interface is also developed where the initial 3D segmentation of glioblastoma can be interactively corrected to remove falsely detected spurious tumour regions. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…The mzGroupAnalyzer is implemented in the graphical user interface (GUI) of the metabolomics toolbox COVAIN (Sun & Weckwerth, 2012, Metabolomics 8: 81-93). …”
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MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

“…MergeBot utilizes the techniques of static program analysis to recommend the resolution of merge conflicts via a user-friendly graphical user interface. In the resolution of merge conflicts, MergeBot can help reduce introducing potential errors via real-time visualization of code differences between pre-resolution and post-resolution versions; meanwhile, MergeBot can avoid error propagation via the prevention of staging or committing unresolved conflicts. …”
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Improving Energy Efficiency in Buildings with an IoT-Based Smart Monitoring System by Fateme Dinmohammadi, Anaah M. Farook, Mahmood Shafiee

“…The Adafruit IO platform is used for both data storage and the design of a graphical user interface (GUI), enabling residents to remotely control their home environment. …”
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SD-YOLOv8: Automated Motion Detection System for Aerobics Students by Lian Tang, Ya Li, Qing Du, Jincheng Liang

“…Finally, we developed a user-friendly graphical interface using the PyQt framework, enabling visual deployment and real-time interaction with the model. …”
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INFORMATION SYSTEM OF TESTING LABORATORY FOR RADIATION CONTROL by K. Yu. Kolybanov, R. E. Kuzin, S. S. Pisanenko, T. N. Tairov

“…The program has a convenient graphical user interface for database communication. …”
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Applications of multi-GPU computing in large-scale fully kinetic particle-in-cell simulations of space plasma by Q. Y. Xiong, S. Y. Huang, Z. G. Yuan, L. L. Kuang, B. Sharma, K. Jiang, H. H. Wu, L. Yu

“…The rapid development of an emerging computing device, the graphical processing unit (GPU), has significantly enhanced our ability to conduct full kinetic particle-in-cell (PIC) simulations in space physics. …”
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ELECTRONIC NOSE (E-NOSE) DESIGN FOR ARDUINO NANO-BASED HALAL HARAM IDENTIFICATION by Muammar Kadafi, Rachmad Almi Putra

“…The Graphic User Interface (GUI) system is built with Visual Studio 2008. …”
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The impact of subsidies on projected heat pump adoption and residential heating emissions in Massachusetts by Emma K Walter, Matthew J Eckelman

“…This study examines the impact of various state-level subsidy scenarios on adoption rates, emission reductions, and associated co-benefits in MA and the region. Using Global Land-use, Impact, and Policy Simulator Environment, a graphical interface for the integrated assessment model global change assessment model-USA, this study explores state-level scenarios including current and full subsidy rates, as well as forced adoption, to predict future emissions and heat pump use. …”
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Colorectal Cancer Detection Tool Developed with Neural Networks by Alex Ede Danku, Eva Henrietta Dulf, Alexandru George Berciu, Noemi Lorenzovici, Teodora Mocan

“…Convolutional neural networks (CNNs) and artificial neural networks (ANNs) are utilized in conjunction with a graphical user interface (GUI), which caters to individuals lacking programming expertise. …”
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Scalable and Efficient Multi-Class Brain Tumor Classification with a Compact Hybrid Deep Learning Model for Real-Time Applications by Sohaib R. Awad, Amar I. Daood, Akram A. Dawood

“…A proposed compact CNN model delivers 97.50% accuracy through its smaller 2.38 MB size and additional SVM integration results in 97.45% accuracy using 1.43 MB. A Graphical User Interface (GUI) system comprising automated tumor classification capabilities is created to improve real-time systems that visualize MRI scans and illustrate predicted labels in addition to displaying confidence scores. …”
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Towards Integrated Data Management and Analysis for Spatio-Temporal Digital Terrain Models by R. Liu, P. Kuper, T. Grombein, C. Naab, M. Al-Doori, M. Breunig

“…Thereby the model is extended by an appropriate server-infrastructure and a graphical user interface that enables to query, analyze, visualize and export time series of DTMs. …”
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Explainable ML modeling of saltwater intrusion control with underground barriers in coastal sloping aquifers by Asaad M. Armanuos, Martina Zeleňáková, Mohamed Kamel Elshaarawy

“…To support practical application, an interactive graphical user interface (GUI) was developed, allowing users to input key variables and easily estimate L/L a values. …”
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QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…The QuantiFly software, which includes the refined algorithm, has been designed to be immediately accessible to scientists through an intuitive and responsive user-friendly graphical interface. The software is also open-source, self-contained, has no dependencies and is easily installed (https://github.com/dwaithe/quantifly). …”
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Prediction Model for the Chloride Ion Permeability Resistance of Recycled Aggregate Concrete Based on Machine Learning by Pengfei Gao, Yuanyuan Song, Jian Wang, Zhiyong Yang, Kai Wang, Yongyu Yuan

“…The importance ranking of IFs on the electric flux was <i>r</i> > <i>t</i> > <i>f</i> > <i>T</i> > <i>L</i> > <i>YN</i>. A graphical user interface (GUI) was developed based on Python 3.8 software to facilitate the use of machine learning models for the chloride ion permeability resistance of RAC. …”
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