ABSTRACT This paper presents a new approach of landslides zonation hazard studies, based on an integrated study of structural data along with geomorphological and external factors, in a hilly regions of Brazil, covered by a tropical humid rain-forest, called Serra do Mar.The Serra do Mar consists of a hilly region along the east coast of Brazil, wi
This study introduces the YORB-SLAM algorithm, a novel approach that integrates an enhanced ORB-SLAM2 framework with a lightweight YOLOv5 model to improve the robustness and Fridge Drain Element accuracy of visual SLAM systems in indoor dynamic environments.By incorporating a variable threshold FAST corner detection algorithm, we optimize feature p
The relevance of the discussed issue.Studying the anthropogenic evolution and transformation of underground hydrosphere within urbanized territories is the relevant issue nowadays.Underflooding and forming of technogenic aquifers cause serious Layette geological hazards, that has been seen in some districts of Irkutsk.That fact sets a problem of fo
Demonstrate the existence of failure in the academic route of Workers-students the undergraduate nursing UFMT-Sinop and how these KERATIN OIL SHAMPOO students understand this process and what the causal factors of reprobation mentioned by students working.It was made a camp research with workers-students, nursing graduating and nursing technical in
Background: Convolutional neural networks (CNNs) assume pivotal roles in aiding clinicians in diagnosis and treatment decisions.The rapid evolution of imaging technology has established three-dimensional (3D) CNNs as a formidable framework for delineating organs and anomalies in medical images.The prominence of 3D CNN frameworks is steadily growing