Validation of body composition parameters extracted via deep learning-based segmentation from routine computed tomographies by Felix O. Hofmann, Christian Heiliger, Tengis Tschaidse, Stefanie Jarmusch, Liv A. Auhage, Ughur Aghamaliyev, Alena B. Gesenhues, Tobias S. Schiergens, Hanno Niess, Matthias Ilmer, Jens Werner, Bernhard W. Renz

“…In this study, we developed and validated a flexible, open-access pipeline integrating available deep learning-based segmentation models with pre- and postprocessing steps to extract body composition measures from routine computed tomography (CT) scans. …”
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When Multimodal Large Language Models Meet Computer Vision: Progressive GPT Fine-Tuning and Stress Testing by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…The rapid evolution of Multimodal Large Language Models (LLMs) has redefined the landscape of artificial intelligence, with OpenAI’s GPT-4o representing a transformative leap in multimodal learning and processing. …”
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River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements by J. Marggraf, G. Dramais, J. Le Coz, B. Calmel, B. Camenen, D. J. Topping, W. Santini, G. Pierrefeu, F. Lauters

“…This method that comes with a flexible, open-source code is the first to propose an applicable uncertainty estimation that could be adapted to other flux computation methods.…”
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Orthodontically induced root resorption in endodontically treated and vital teeth: a cone beam computer tomographic study by Ziang Liu, Yuqing Ouyang, Yiting Lou, Yineng Han, Mengting Lu, Mengfei Yu, Huiming Wang, Wanghui Ding

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Revolutionizing diabetes treatment: computational insights into 4-hydroxy isoleucine derivatives and advanced molecular screening for antidiabetic compounds by Lakshmi Mounika Kelam, Manjinder Singh Gill, M. Elizabeth Sobhia

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Computational simulation of heat transfer and nanofluid flow for two-sided lid-driven square cavity under the influence of magnetic field by Sharma Madhu, Sharma Bhupendra K., Kumar Anup, Almohsen Bandar, Laroze David, Urbanowicz Kamil

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Phytochemical constituents, in vitro antibacterial activity, and computational studies of Sudanese Musa acuminate Colla fruit peel hydro-ethanol extract by Khider Wihad, Ali Abdalrahim M., Hago Salma, Alzain Abdulrahim A., Abdelgadir Abdelgadir A., Ahmed Areeg, Ahmed Elhadi M.

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Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

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OSMlanduse a dataset of European Union land use at 10 m resolution derived from OpenStreetMap and Sentinel-2 by Michael Schultz, Hao Li, Zhaoyan Wu, Daniel Wiell, Michael Auer, Zipf Alexander

“…We addressed varying label noise and feature space quality, utilizing artificial intelligence and advanced computing. Our method relies solely on openly available data streams and methods, eliminating training data acquisition or the need for additional expert knowledge for such purpose. …”
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Universal quantum computation using Ising anyons from a non-semisimple topological quantum field theory by Filippo Iulianelli, Sung Kim, Joshua Sussan, Aaron D. Lauda

“…This result opens new avenues for realizing fault-tolerant quantum computing in topologically ordered systems.…”
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Urban Design Evolved: The Impact of Computational Tools and Data-Driven Approaches on Urban Design Practices and Civic Participation by Ahmet Gün

“…Our analysis includes a literature review and semi-structured interviews with computational design experts. In this sense, the literature is reviewed to investigate previous discussions and findings about the topic, and semi-structured interviews were carried out with seven computational design experts. …”
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Modeling the Effect of Greenways’ Multilevel Visual Characteristics on Thermal Perception in Summer Based on Bayesian Network and Computer Vision by Yongrong Zheng, Siren Lan, Jiayi Zhao, Yuhan Liu, Songjun He, Chang Liu

“…Data on light (L), color (C), plant richness (PR), space openness (SO), scenic view (SV), thermal sensation (TS), and thermal preference (TP) were collected through questionnaires (<i>n</i> = 546). …”
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Urban Design Evolved: The Impact of Computational Tools and Data-Driven Approaches on Urban Design Practices and Civic Participation by Ahmet Gün

“…Our analysis includes a literature review and semi-structured interviews with computational design experts. In this sense, the literature is reviewed to investigate previous discussions and findings about the topic, and semi-structured interviews were carried out with seven computational design experts. …”
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A computational diagnostic model for infectious diseases via similarity measures on N-framed plithogenic hypersoft sets by Muhammad Rayees Ahmad, Usman Afzal, Nadir Omer, Ali Delham Algarni, Sara A. Ghorashi, Huda Eltayeb

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DEM-bond model: A computational framework for designing mechanically enhanced polymer nanosphere-based ordered nanostructures by Dan Chen, Zhiren Chen, Tengfang Zhang, Zhihong Zhu, Qingwei Zhou, Fang Luo, Fan Wu, Yunming Wang, Chucai Guo

“…This approach demonstrates significant potential for extension to other nanosphere systems including polystyrene and biopolymers, opening new avenues for developing mechanically robust functional nanomaterials.…”
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Advancing Fractal Dimension Techniques to Enhance Motor Imagery Tasks Using EEG for Brain–Computer Interface Applications by Amr F. Mohamed, Vacius Jusas

“…The ongoing exploration of brain–computer interfaces (BCIs) provides deeper insights into the workings of the human brain. …”
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On-Demand Gait-Synchronous Electrical Cueing in Parkinson&#x0027;s Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

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Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation by Johan Barthelemy, Umair Iqbal, Yan Qian, Mehrdad Amirghasemi, Pascal Perez

“…A temporal pyramid network (TPN) action recognition model was trained on a newly curated video dataset mixing open-source resources and live simulated trials to identify the unsafe behaviours. …”
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The incremental contribution of mobile cone-beam computed tomography to the tool–lesion relationship during shape-sensing robotic-assisted bronchoscopy by Bryan C. Husta, Anu Menon, Reza Bergemann, I-Hsin Lin, Jaclyn Schmitz, Rastko Rakočević, Tejaswi R. Nadig, Prasad S. Adusumilli, Jason A. Beattie, Robert P. Lee, Bernard J. Park, Gaetano Rocco, Matthew J. Bott, Mohit Chawla, Or Kalchiem-Dekel

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Comparative Evaluation of Multimodal Large Language Models for No-Reference Image Quality Assessment with Authentic Distortions: A Study of OpenAI and Claude.AI Models by Domonkos Varga

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