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  1. 481

    Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

    Published 2023-03-01
    “… The tongue reflects the abnormal condition and behavior of the internal organs of the body, such as problems of the heart, liver, pancreas, stomach, intestines, blood diseases and others, which lead to changes in some of the features and characteristics of the tongue. …”
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  2. 482
  3. 483

    Tracking the trajectory of a swarm of mobile robots with a computer vision system by Andrés Jiménez-Mora, Kevin Morales-Paz, Juan Carlos Brenes-Torres, Rebeca Solís-Ortega, Cindy Calderón-Arce

    Published 2024-09-01
    “…Comprehensive analysis of swarm behavior hinges on the study of the collective trajectories of each robot within the group. …”
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    Article
  4. 484

    Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones by Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris

    Published 2025-01-01
    “…This system leverages state-of-the-art computer vision techniques with spatial analysis characteristics to analyze wildlife bird behavior through optical cameras and extract features for each bird. …”
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    A Metallurgically Informed Multiscale Integrated Computational Framework for Metal Forming Processes by Vasilis Loukadakis, Spyros Papaefthymiou

    Published 2025-04-01
    “…Coupled with experimental data, the predictive accuracy of the mechanical behavior can be further enhanced.…”
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    Article
  7. 487

    Stability studies of titanium–carboxylate complexes: A multi-method computational approach by Omar Abdalazeem A., Elmarassi Yasser R. M., Saadawy M., Musa Abdallah Bashir, Mahmoud Nesrine M. R.

    Published 2025-07-01
    “…This study aims to evaluate and compare the stability constants of titanium (iv) complexes with propanoic acid and citric acid to better understand their coordination behavior. A multi-method computational approach was employed, integrating point-wise calculation, half-integral, linear plot, and least-squares methods to enhance the accuracy and reproducibility of proton–ligand dissociation constants (pK a) and metal–ligand formation constants (log K). …”
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    On the Hub Number of Ring Graphs and Their Behavior Under Graph Operations by Mohammed Alsharafi, Haifa Ahmed, Saad Tobaili

    Published 2025-01-01
    “…This study examines the hub number of ring graphs and investigates their behavior under operations such as union, intersection, and join. …”
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  13. 493

    Walkability indices and travel behavior: Insights from Montréal, Canada by Hisham Negm, Ahmed El-Geneidy

    Published 2025-05-01
    “…Walk Score® had the highest predictive power on walking behavior for healthcare purposes. While the cumulative opportunities measure (30-minute travel time) was the most effective for predicting commute walking behavior. …”
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  14. 494

    Contrastive learning of similarity meta-path clustering for multi-behavior recommendation by Juan Liao, Aman Jantan, Zhe Liu, Himanshu Dhumras, Omed Hassan Ahmed

    Published 2025-07-01
    “…Abstract Data sparsity has long hindered the performance of recommender systems. Leveraging multi-behavior data has emerged as a key strategy to alleviate this challenge. …”
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    Article
  15. 495

    Realistic behavioral model for ReRAMs capturing non-idealities by Gulafshan Gulafshan, Hongrong Hu, David Raber-Radakovits, Luke Vassallo, Gabriel Cadilha Marques, Jasmin Aghassi-Hagmann, Nima Taherinejad

    Published 2025-05-01
    “…Simulation plays a critical role in designing circuits for memristive in-memory computation systems. Fast and reliable simulations require a behavioral model that accurately emulates device characteristics, accounting for real-world non-idealities. …”
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  16. 496

    Research on lightweight pose estimation networks for classroom behavior recognition by XUE Tao, CAO Zherui, ZHOU Qianming

    Published 2024-12-01
    “…Classroom behavior recognition requires models to have fast inference speed, fewer parameters, and good robustness. …”
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    Article
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