Automatic Hemangioma Detection Algorithm Using a Cascade of K-Means and Active Contour Model

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Selection and Configuration of Sorption Isotherm Models in Soils Using Artificial Bees Guided by the Particle Swarm

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Retracted: A Study on the Influence of Interactivity on Behavior Intention in Platform B2C Model

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An Efficient Ensemble Learning Model Integrating Multi‐Branch Sub‐Networks for Facial Expression Recognition

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Integrating AI and Large Language Models for Automated Data Quality Enhancement in Data Integration Systems

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Stack Transformer-Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition

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Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning

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Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection

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DistilBERT-based Text Classification for Learning Style Identification Based on the Felder-Silverman Model

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Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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Comp-PointLLM: An explainable multimodal large language model for 3D object comparison

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Investigating the performance of Robust Daily Production Optimization against a combined well-reservoir model

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Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models

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On real-time calibrated prediction for complex model-based decision support in pandemics: Part 2

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Generative AI meets Architecture: Transforming visions from text, sketches, and 3D models

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Modeling the dependency structure between quality characteristics in multi-stage manufacturing processes with copula functions

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Mathematical modeling of the thermal stress state of a ball with an eccentric heat-active spherical inclusion

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Big Data Discourses| A Model of Frame Categories for Analyzing Media Discourse of Emerging Technologies

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Forecasting Age-Specific Brain Cancer Mortality Rates Using Functional Data Analysis Models

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Identification of potential biological targets in sepsis based on random forest and artificial neural network models

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