Robotic Assistant for Object Recognition Using Convolutional Neural Network by Sunday Oluyele, Ibrahim Adeyanju, Adedayo Sobowale

“…Qualitative evaluation of the recognition system yielded a precision of 79%, recall of 96%, and accuracy of 80% for the Robotic Assistant. It also includes a Graphical User Interface where users can easily control the movement and speed of the robotic assistant. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

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Decoding Brain Signals in a Neuromorphic Framework for a Personalized Adaptive Control of Human Prosthetics by Georgi Rusev, Svetlozar Yordanov, Simona Nedelcheva, Alexander Banderov, Fabien Sauter-Starace, Petia Koprinkova-Hristova, Nikola Kasabov

“…Current technological solutions for Brain-machine Interfaces (BMI) achieve reasonable accuracy, but most systems are large in size, power consuming and not auto-adaptive. …”
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Construction of a Sparse Covariance Matrix Based on Statistical Data Analysis and Its Use in Choosing an Optimal Portfolio of Securities by V. A. Gorelik, T. V. Zolotova

“…All necessary primary calculations and studies are performed in Microsoft Excel; the functions of the Python programming language are used for automation and implementation of the graphical interface.Results. …”
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Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing by Tristan P. Wallis, Anmin Jiang, Kyle Young, Huiyi Hou, Kye Kudo, Alex J. McCann, Nela Durisic, Merja Joensuu, Dietmar Oelz, Hien Nguyen, Rachel S. Gormal, Frédéric A. Meunier

“…Nanoscale spatiotemporal indexing clustering (NASTIC) has been implemented as a free and open-source Python graphic user interface.…”
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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

“…To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. …”
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Development of the Object-Oriented Dynamic Simulation Models Using Visual C++ Freeware by Alexander I. Kozynchenko, Sergey A. Kozynchenko

“…So the paper gives some basic structure for creating a dynamical simulation model in C++ which is built on the Win32 platform with an interactive multiwindow interface and uses the lightweight Visual C++ Express as a free integrated development environment. …”
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A Real Time Cardiomyopathy Detection Tool Using Ml Ensemble Models by Salvador de Haro, Esteban Becerra, Pilar González-Férez, José M. García, Gregorio Bernabé

“…Previous research introduced DL-LVTQ, a deep learning solution for trabecular quantification based on a UNet 2D convolutional neural network (CNN) architecture and a graphical user interface (GUI) to streamline its use in clinical workflows. …”
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The Fast and Accurate Method of Tuning of SISO Controllers Using Seven Performance Indexes by Stopakevych A.О., Stopakevych О.A.

“…The fourth task is to develop a software application with a graphical interface in MATLAB language, which allows convenient optimization for an arbitrary rational FOPDT model. …”
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Water saturation modeling in carbonate reservoirs using the bulk volume water approach by Ali Behdad, Steve Cuddy

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A comparative ensemble approach to bedload prediction using metaheuristic machine learning by Ajaz Ahmad Mir, Mahesh Patel, Fahad Albalawi, Mohit Bajaj, Milkias Berhanu Tuka

“…The REC curves show that BR, XGB, and RF, outperformed KNN and LR models. Furthermore, a graphical user interface has also been developed to facilitate user interaction with the predictive models, allowing for easier visualization, analysis, and interpretation of bedload transport predictions. …”
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Auto-segmentation of cerebral cavernous malformations using a convolutional neural network by Chi-Jen Chou, Huai-Che Yang, Cheng-Chia Lee, Zhi-Huan Jiang, Ching-Jen Chen, Hsiu-Mei Wu, Chun-Fu Lin, I-Chun Lai, Syu-Jyun Peng

“…We also developed a user-friendly graphical user interface to facilitate the use of these models in clinical analysis. …”
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Methodology for Designing and Creating Content for Presentation Purposes Using See-Through Displays by Jozef Török, Darina Dupláková

“…The PTC Creo Parametric program was used to create animations for the assembly of components, and the SharpDevelop integrated development environment was used to design the user interface for the visualization itself. …”
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Dynamic Behavior Analysis of the Slider Crank Linkage using ANSYS Workbench and MATLAB Program by Nabil N. Swadi

“… This paper is concerned with the study of the kinematic and kinetic analysis of a slider crank linkage using D'Alembert's principle. The links of the considered mechanism are assumed to be rigid. …”
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Assessment of RESipy module in delineation of kaolin formation deposits using electrical resistivity tomography by Daniel Eshimiakhe, Raimi Jimoh, Joseph Orojah Osumeje, Kolawole Muideen Lawal

“…Several established non-commercial inversion codes exist, but they typically require advanced knowledge to use effectively. ResIPy was developed to provide a more intuitive, user-friendly, approach to inversion of geoelectrical data, using an open source graphical user interface (GUI) and a Python application programming interface (API). …”
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HFITS: An analysis tool for calculating heat flux to planar surfaces using infrared thermography by Parham Dehghani, Matthew J. DiDomizio

“…The software offers comprehensive functionalities, including support for metadata handling, a graphical interface for selection of regions of interest, the ability to import additional temperature measurements to enhance convective heat transfer estimates, and the exporting of both computed field data and contour videos. …”
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Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recog... by Andrea P Garzón-Partida, Kimberly Magaña-Plascencia, Diana Emilia Martínez-Fernández, Joaquín García-Estrada, Sonia Luquin, David Fernández-Quezada

“…When the model achieves adequate validity (area under the curve of ≥0.80), a graphic user interface will then be designed for clinical use. …”
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An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks by German Solorzano, Vagelis Plevris

“…The project is developed in Python and includes a parametric FEM model of an RC shear wall in OpenSeesPy, the training and validation of the DNN model in TensorFlow, and an application with an interactive graphical user interface to test the methodology and visualize the results.…”
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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

“…The modeling of artificial neural networks was performed using the Regression Learner program, which integrates with the Matlab 2023a software package and offers a user-friendly graphical interface for AI model development without coding. …”
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Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based in silico approaches by David Hoffmann, Joschka Bauer, Markus Kossner, Andrew Henry, Anne R. Karow-Zwick, Giuseppe Licari

“…The resulting model has been implemented as a plugin named “Forecasting Reactivity of Isomerization and Deamidation in Antibodies” in MOE software, completed with a user-friendly graphical interface to facilitate its use.…”
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