From Photogrammetry to Virtual Reality: A Framework for Assessing Visual Fidelity in Structural Inspections by Xiangxiong Kong, Terry F. Pettijohn, Hovhannes Torikyan

“…To make it viable, we first introduce a novel workflow that integrates UAV-based photogrammetry, computer graphics, and web-based VR editing to establish interactive VR user interfaces. …”
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PaddyVarietyBD: Classifying paddy variations of Bangladesh with a novel image datasetMendeley Data by Md Tahsin, Muhammad Ibrahim, Anika Tabassum Nafisa, Maksura Binte Rabbani Nuha, Mehrab Islam Arnab, Md. Hasanul Ferdaus, Mohammad Manzurul Islam, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Md. Sawkat Ali, Nishat Tasnim Niloy

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Deep Learning in Spinal Endoscopy: U-Net Models for Neural Tissue Detection by Hyung Rae Lee, Wounsuk Rhee, Sam Yeol Chang, Bong-Soon Chang, Hyoungmin Kim

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Classifying mental motor tasks from chronic ECoG-BCI recordings using phase-amplitude coupling features by Morgane Marzulli, Alexandre Bleuzé, Joe Saad, Felix Martel, Philippe Ciuciu, Philippe Ciuciu, Tetiana Aksenova, Lucas Struber

“…Despite this interest, its specific role and potential value in decoding attempted motor movements remain unclear.MethodsThis study investigates whether PAC-derived features can be leveraged to classify different motor behaviors from ECoG signals within Brain-Computer Interface (BCI) systems. ECoG data were collected using the WIMAGINE implant during BCI experiments with a tetraplegic patient performing mental motor tasks. …”
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Presenting an Innovative Method Based on Ensemble Learning for a Credit Approval System by Eshonkulov Uchkun, Elmurodov Tulkin, Ravshanov Zavqiddin, Каramanov Asqar

“…Its primary goal is to evaluate the risk associated with lending money and make informed decisions about approving or denying credit applications. …”
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Automated AI-based segmentation of canine hepatic focal lesions from CT studies by Silvia Burti, Artur Jurgas, Caterina Puccinelli, Giunio Bruto Cherubini, Simonetta Citi, Alessandro Zotti, Marek Wodziniski, Marek Wodziniski, Rachele Brusco, Emma Quaresima, Martina Giordano, Margherita Bendazzoli, Diane Wilson, Nicolò Mastromattei, Tommaso Banzato

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Imaging Diagnostics, Biomarkers, and Emerging Trends in Orthopedic Research and Treatment by Gabriela Oliwia Trestka, Wiktoria Domino, Urszula Zelik, Maria Przygoda, Joanna Śnieżna, Kamila Stępień, Sabina Adamczyk, Wojciech Florczak, Jagienka Włodyka, Jakub Dziewic, Karol Dzwonnik

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Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

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Intelligent Classifier for Identifying and Managing Sheep and Goat Faces Using Deep Learning by Chandra Shekhar Yadav, Antonio Augusto Teixeira Peixoto, Luis Alberto Linhares Rufino, Aedo Braga Silveira, Auzuir Ripardo de Alexandria

“…Computer vision, particularly in artificial intelligence (AI), is increasingly being applied in various industries, including livestock farming. …”
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Experience of Virtual Help in a Simulated BCI Stroke Rehabilitation Serious Game and How to Measure It by Bastian Ilsø Hougaard, Hendrik Knoche, Mathias Sand Kristensen, Mads Jochumsen

“…Designers of digital rehabilitation experiences can accommodate error-prone input devices like brain–computer interfaces (BCIs) by incorporating virtual help mechanisms to adjust the difficulty, but it is unclear on what grounds users are willing to accept such help. …”
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An Integrated Theoretical Model for Assessing Digital Literacy’s Impact on Academic Performance: A Case Study Using PLS-SEM by Suadad Muammar, Piyush Maheshwari, Shadi Atalla

“…This research used partial least squares structural equation modeling (PLS -SEM) and other statistical methods were used to measure the validity, collinearity, and reliability of variables, as well as to evaluate the study model. The findings revealed a significant correlation between computer and information literacy and student academic performance with variations according to demographic factors. …”
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Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis by Jaskaran Singh Walia, Kavietha Haridass, L. K. Pavithra

“…Computationally, YOLOv8n achieves 76 ms (milliseconds) per frame, while YOLOv5s runs at 14 ms per frame, confirming real-time viability for AUV deployment. …”
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Empowering Individuals With Visual Impairment: A Digital Braille Solution for Learning the Urdu Language by Farzana Jabeen, Mehvish Rashid

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Accuracy analysis of all-ceramic crowns with different materials in CAD/CAM digital replication mode by Haoyang Wang, Wenli Qu, Ting Wang, Xuan Wu, Hao Sun

“…Abstract Background The study aimed to evaluate the three-dimensional accuracy of computer-aided design and computer-aided manufacturing (CAD/CAM) in fabricating all-ceramic crowns using various cuttable materials, assessed through reverse engineering. …”
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A Combined CFD, Theoretical, and Experimental Approach for Improved Hydrodynamic Performance of a Clam Dredge System by Rui You, Nathan H. Kennedy

“…Current designs often rely on empirical methods, resulting in a disconnect between theoretical models, computational simulations, and experimental validation. …”
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Experimental and numerical study of a novel inbuilt helical ridge small-caliber graft for artery bypass surgery by Wu Ye, Ming Liu, Qi Li, Ming Zhao

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A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing by Karem Daiane Marcomini, Vitória de Carvalho Brito, Gregori da Cruz Balestra, Vitor Tosetto, Luiz Carlos Duarte, Antonio Roberto Donadon

“…We store confirmed instances and evaluate the information temporally rather than just from individual frames. …”
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High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach by Juuso Takala, Heikki Peura, Riku Pirinen, Katri Väätäinen, Sergei Terjajev, Ziyuan Lin, Rahul Raj, Miikka Korja

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Using Masked Image Modelling Transformer Architecture for Laparoscopic Surgical Tool Classification and Localization by Hisham ElMoaqet, Rami Janini, Mutaz Ryalat, Ghaith Al-Refai, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller, Nassir Navab

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Study of Antioxidant Activity and Quantum-chemical Calculations of 2-aminopyrroles by S. S. Zykova, K. L. Gankova, M. V. Shustov, N. M. Igidov, S. S. Borisevich, M. G. Ilyina

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