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Abstract This study presents a Quantum-Enhanced Firefly Algorithm (QFA)-based multi-level image annotation framework that integrates advanced Otsu thresholding, region-based feature extraction, and Bayesian multi-label c...

Accurate detection of pediatric fractures in radiographs remains challenging due to subtle visual cues and the high prevalence of false-positive detections produced by automated systems. To address this limitation, we pr...

Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of ima...

Intelligent mining area detection is fundamental for ecological monitoring and sustainable development of mining areas. However, current remote sensing detection lacks high-quality multimineral rotated object detection d...

Abstract Medical images are inherently high-resolution and contain locally varying structures that are crucial for diagnosis. Efficient compression of such data must therefore preserve diagnostic fidelity while minimizin...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Abstract Beach erosion represents a major hazard to coastal regions worldwide, yet the role of fluvial floods remains an understudied component of beach dynamics. Accounting for fluvial flooding is essential, as its negl...

Automatic valet parking using learning function is proposed in this study. The number plate (vehicle registration plate or license plate) of each vehicle is read using a camera when entering and leaving the parking lot. ...