Background & objective: Due to the features such as intuitive graphical appearance, ease of perception and straightforward applicability, risk matrix has become as one of the most used risk assessment tools.On the other hand, features such as the lack of precision in the classification of risk index, as well as subjective computational process, has
Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques
In the realm of image-based breast cancer detection and severity assessment, this study delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques.By investigating image processing, machine learning (ML), and deep learning (DL), the research illuminates their combined impact on transforming breast cancer diagno
Deep Multi-Task Network for Learning Person Identity and Attributes
Person re-identification (re-ID) has been gaining in popularity in the research community owing to its numerous applications and growing importance in the surveillance industry.Recent methods often employ partial features for person re-ID and offer fine-grained information beneficial for person retrieval.In this paper, we focus on learning improved
Characterizing Forest Fuel Properties and Potential Wildfire Dynamics in Xiuwu, Henan, China
As global climate change and human activities increasingly influence our world, forest fires have become more frequent, inflicting significant damage to ecosystems.This study conducted measurements of combustible materials (moisture content ratio, ignition point, and calorific value) across 14 representative sites.We employed Pearson correlation an