Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
India plans to enhance its economic measurement with a new system leveraging real-time tax data. Set for release in 2026, the revised GDP framework will include back-series data and improved methods ...
In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...
Abstract: Recognizing land use and land cover (LULC) elements in satellite imagery is an important foundational point for environmental tracking applications, as well as urban development and ...
In this video I share 2 new scripts that you can utilize to post process Stable Diffusion generated classification / regularization images in higher resolution. With these 2 custom scripts made by me, ...
Abstract: In this study, we introduce the ToolSurface-144 dataset, which is presented here for the first time. It comprises four subsets – Full R, Full S, Top R, and Top S – each containing 144 tool ...
ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...
Automated surveillance systems called camera traps play an important role in conservation reserach, as it allows researchers to passively record the behavior of animal species in their natural habitat ...
Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...
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