Advancing Grapevine Variety Identification: A Systematic Review of Deep Learning and Machine Learning Approaches by Gabriel A. Carneiro, António Cunha, Thierry J. Aubry, Joaquim Sousa

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Enhancing the Distinguishability of Minor Fluctuations in Time Series Classification Using Graph Representation: The MFSI-TSC Framework by He Nai, Chunlei Zhang, Xianjun Hu

“…Finally, empirical evaluation of MFSI-TSC on both real-world and publicly available datasets demonstrates its effectiveness. …”
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SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

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Correction: Clarkson et al. Evaluating Strategies to Increase the Number of Women Working in the UK Surveying Profession. <i>Merits</i> 2023, <i>3</i>, 263–296 by Sinéad Clarkson, Lucy Hind, Sambo Lyson Zulu

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Inconsistency of AI in intracranial aneurysm detection with varying dose and image reconstruction by Leonie Goelz, Angelo Laudani, Ulrich Genske, Michael Scheel, Georg Bohner, Hans-Christian Bauknecht, Sven Mutze, Bernd Hamm, Paul Jahnke

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Study on the Effect of Deadman State on Blast Furnace Hearth Erosion Based on Solidification and Melting Model by Fei Yuan, Liangyu Chen, Lei Wang, Lei Zhao, Yan Zhong

“…This study develops a three-dimensional Computational Fluid Dynamics (CFD) model that incorporates the flow of molten iron and the solidification phase transition within the blast furnace hearth. …”
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Dual Focus-3D: A Hybrid Deep Learning Approach for Robust 3D Gaze Estimation by Abderrahmen Bendimered, Rabah Iguernaissi, Mohamad Motasem Nawaf, Rim Cherif, Séverine Dubuisson, Djamal Merad

“…Estimating gaze direction is a key task in computer vision, especially for understanding where a person is focusing their attention. …”
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Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models by Borja Arroyo Galende, Patricia A. Apellaniz, Juan Parras, Santiago Zazo, Silvia Uribe

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Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks by Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani

“…In the field of computer vision, generating realistic images from sketches has garnered considerable attention due to its wide-ranging applications in art, design, and facial recognition systems. …”
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Automatic Analysis of Ultrasound Images to Estimate Subcutaneous and Visceral Fat and Muscle Tissue in Patients with Suspected Malnutrition by Antonio Cuesta-Vargas, José María Arjona-Caballero, Gabriel Olveira, Daniel de Luis Román, Diego Bellido-Guerrero, Jose Manuel García-Almeida

“…The proposed system utilizes computer vision techniques to segment regions of interest (ROIs), calculate relevant variables, and store data for clinical evaluation. …”
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Pulmonary Hamartoma: a Single-Center Analysis of 142 Cases by P. V. Gavrilov, S. S. Suvorova, U. A. Smolnikova, A. D. Ushkov

“…We analyzed 142 cases of lung hamartomas detected at the Saint Petersburg Research Institute of Phthisiopulmonology from 2013 to 2023, confirmed histologically or with a follow-up period of more than 600 days, without endobronchial location and other foci/formations in the lungs, without contrast enhancement evaluation.Results. The results of data statistical analysis of patients with pulmonary hamartoma with distribution by gender and age were described. …”
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Comparative assessment of the depth of invasion of early-stage oral cavity carcinomas based on intraoral ultrasound and computerized tomography findings by Marković-Vasiljković Biljana, Antić Svetlana, Jelovac Drago

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Numerical investigation of thermal and airflow profiles in diverse solar dryer chamber configurations by Muhammad Aqil Afham Rahmat, Adnan Ibrahim, Muhammad Amir Aziat Ishak, Ubaidah Syafiq, Khaled M. Al-Aribe

“…This research aims to analyze the configurations of the drying chamber for the solar dryer type by utilizing computational fluid dynamics (CFD). A research investigation is undertaken to ascertain the most effective air configuration that guarantees uniform thermal and airflow profiles within the chamber, with three scenarios (A, B, and C) considered for evaluation. …”
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Building Bridges Instead of Putting Up Walls: An Educational Tool to Facilitate Instructors in Adopting Active Learning Methodologies for Teaching Programming by Ivanilse Calderon, Williamson Silva, Eduardo Feitosa

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An Automated Image-Based Dietary Assessment System for Mediterranean Foods by Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis

“…Based on the EfficientNet family of CNNs, we use the EfficientNetB2 both for the pre-trained model and its weights evaluation, as well as for classifying food images in the MedGRFood dataset. …”
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The Technical Development of a Prototype Lower-Limb Therapy Device for Bed-Resting Users by Juan Fang, Adrien Cerrito, Simón Gamero Schertenleib, Patrick von Raumer, Kai-Uwe Schmitt

“…The computer games were proven to be interesting, engaging, and responsive to the training movement. …”
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Efficiency optimization of a hybrid Savonius-Darrieus hydrokinetic turbine via regression modeling and CFD-based design of experiments by Mateo Arrieta-Gomez, Sebastián Vélez-García, Diego Hincapié Zuluaga, Juan C. Tejada, Daniel Sanin-Villa

“…This study presents the evaluation and optimization of a hybrid Savonius-Darrieus hydrokinetic turbine through the numerical analysis of a design of experiments. …”
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Dataset on Programming Competencies Development Using Scratch and a Recommender System in a Non-WEIRD Primary School Context by Jesennia Cárdenas-Cobo, Cristian Vidal-Silva, Nicolás Máquez

“…A structured educational process was implemented, including an initial diagnostic test to assess logical reasoning, guided activities in Scratch to build foundational skills, a phase of personalized practice with CARAMBA, and a final computational thinking evaluation using a validated assessment instrument. …”
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Rapid and cost-efficient approach for non-contact measurement in experimental mechanics by Ondrej Piroh, Jaroslav Majko, Marián Handrik, Milan Vaško, Jakub Cienciala, Michal Šofer, Martin Fusek, Milan Sága

“…Moreover, thanks to its simplicity and lower computational demands, this technique holds promising potential for real-time evaluation in the future.…”
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Intelligent Traffic Management Using Machine Vision Techniques in Smart Cities by Peyman Babaei

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