Research on Service-Oriented Sharing and Computing Framework of Geographic Data for Geographic Modeling and Simulation by Jin Wang, Lingkai Shi, Xuan Zhang, Kai Xu, Zaiyang Ma, Yongning Wen, Min Chen

“…This paper proposes a service-oriented geographic data-sharing and computing framework, which provides users with a complete set of geographic data access and application processes (such as data acquisition, processing, configuration, etc.), so as to reduce the difficulty of using data and improve the efficiency of data sharing. …”
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Development of a Small CNC Machining Center for Physical Implementation and a Digital Twin by Claudiu-Damian Petru, Fineas Morariu, Radu-Eugen Breaz, Mihai Crenganiș, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Alexandru Bârsan, Cristina-Maria Biriș

“…Next, the CAE (computer-aided engineering) simulation diagram was complemented with the CAM (computer-aided manufacturing) simulation interface, the two together forming an integrated digital twin system. …”
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Evaluation of a UAS-based Bridge Inspection Framework with Automated Damage Candidate Suggestion and Human-in-the-loop Damage Assessment by E. T. Bartczak, M. Bassier, M. Vergauwen

“…The damage detection system predicts potential damages, maps them onto the 3D model, computes various characteristics, and aggregates the predictions into a manageable set of damage candidates. A human-in-the-loop validation via a graphical user interface refines these results, producing a verified damage report in less than 4.25 hours, providing accurate, actionable data for effective bridge maintenance. …”
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South African soil, land cover and weather generator file databases for SWAT applicationsMendeley Data by Jay le Roux, Ndifelani Mararakanye, Michael van der Laan, Leushantha Mudaly, Harold Louw Weepener, Johan van Tol

“…The national baseline data is an important step forward in hydrological modelling by assisting modellers to set-up and run the SWAT model in South Africa.…”
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Optimization of cold-induced aerated gels formed by Maillard-driven conjugates of SPI-gellan gum as an oil substitute in mayonnaise sauce by Setayesh Ferdowsian, Zahra Kazemi-Taskooh, Mohammad Javad Varidi, Majid Nooshkam, Mehdi Varidi

“…This research aimed at characterization of composite cold-set aerated gels composed of SPI-gellan gum Maillard conjugates. …”
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Coupling MATSim and the PALM Model System—Large Scale Traffic and Emission Modeling with High-Resolution Computational Fluid Dynamics Dispersion Modeling by Janek Laudan, Sabine Banzhaf, Basit Khan, Kai Nagel

“…This paper highlights the importance of combining traffic emission models with high-resolution turbulence and dispersion models in urban areas at street canyon level and presents the development and implementation of an interface between the mesoscopic traffic and emission model MATSim and PALM-4U, which is a set of urban climate application modules within the PALM model system. …”
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Effective thickness of gallium arsenide on the transverse electric and transverse magnetic modes by Alwan Saib Thiab, Al-Bawee Abbas, Alrubaiy Ahmed A. A. G.

“…Every method was shown with specific settings. The thickness of GaAs affects the number of TE/TM modes. …”
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Lane-Based Optimization for Macroscopic Network Configuration Designs by C. K. Wong, Yi Liu

“…Lane markings (arrows) at individual intersections serve as interfaces to connect upstream and downstream intersections in signal-controlled networks. …”
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Privacy-Preserving Healthcare Data Interactions: A Multi-Agent Approach Using LLMs by Carmen De Maio, Giuseppe Fenza, Domenico Furno, Teodoro Grauso, Vincenzo Loia

“…The proposed framework enables better integration of LLMs in clinical settings by bridging natural language interfaces with secure, interoperable healthcare data systems.…”
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Generative language reconstruction from brain recordings by Ziyi Ye, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Min Zhang, Christina Lioma, Tuukka Ruotsalo

“…Existing research has addressed this challenge with a classification setup, where a set of language candidates are pre-constructed and then matched with the representation decoded from brain recordings. …”
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Synthetic and real-world datasets for crosswalk segmentation under diverse weather and lighting conditionsMendeley Data by Krešimir Romić, Hrvoje Leventić, Marija Habijan, Irena Galić

“…All images in both synthetic and real-world sets were manually annotated using a custom interface where annotators defined crosswalk regions as quadrilateral polygons, creating binary masks. …”
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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

“…In addition, a novel WebApp has been developed to leverage these models, allowing users to input parameters and quickly obtain CS predictions for concrete mix designs. The user-friendly interface of the WebApp makes it an easily accessible tool for professionals and researchers in concrete engineering. …”
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Modeling localized corrosion in biofuel storage tanks by Hossein Moradi, Gabriele Grifò, Maria Francesca Milazzo, Edoardo Proverbio, Giancarlo Consolo

“…To achieve this purpose, an electro-chemical phase-field model is proposed to include the extra chemical reaction due to the presence of organic acids in an electrolyte solution. The resulting set of nonlinear coupled partial differential equations is numerically integrated by means of finite element methods with a twofold aim: tracking the evolution of the metal/electrolyte interface and predicting the corrosion rates observed when either single or multiple interacting pits are formed in the bottom of a carbon steel tank. …”
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Investigating the impacts of auditory and visual feedback in advanced driver assistance systems: a pilot study on driver behavior and emotional response by Zhao Zou, Aila Khan, Michael Lwin, Fady Alnajjar, Omar Mubin

“…The study serves as one of the pioneering studies aimed at enhancing the theoretical foundation in the field of automotive user interface design, particularly concerning the design of auditory functions.…”
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Comparison of Coronal Hole and Quiet-Sun Chromosphere Using IRIS Mg ii h and k Observations of Polar Off-limb Regions by Akiko Tei, Stanislav Gunár, Takenori J. Okamoto

“…To constrain the solar atmosphere and solar wind model, we statistically compared CH and QS in the chromosphere by quantitatively analyzing all available high-resolution spectral data sets of polar off-limb regions taken from the entire catalog of the Interface Region Imaging Spectrograph (IRIS) satellite. …”
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An Automated Computational Fluid Dynamics Workflow for Simulating the Internal Flow of Race Car Radiators by Francesco Mangini, Matteo Vaccalluzzo, Eugenio Bardoscia, Andrea Bortoli, Alessandro Colombo

“…This is achieved by combining the OpenFOAM command <i>topoSet</i> with specific geometric information directly obtained from the radiator’s CAD through FreeCAD. …”
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Usability and optimization of online apps in user’s context by M. Waseem Iqbal, Khlood Shinan, Shahid Rafique Shahid Rafique, Abdullah Alourani, M. Usman Ashraf, Nor Zairah Ab Rahim

“…Ultimately, OptiFlow paves the way for proactive user experience enhancement and digital interface optimization in an ever-evolving digital landscape.…”
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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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Heuristic Usability Evaluation of Web-Based COVID-19 Management Dashboard by Somayyeh Zakerabasali, Farnaz Salehian

“…Background and Aim: Today, information dashboards are the main tools for understanding and extracting knowledge from large data sets and can be used in various forms by healthcare providers. …”
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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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