Automation in point cloud data processing is central for efficient knowledge discovery.In this paper, we propose an instance segmentation framework for indoor buildings datasets.The process is built on an unsupervised segmentation followed by an ontology-based classification reinforced by self-learning.We use both shape-based features that Meters o

Respiratory support in infants with respiratory distress syndrome (RDS) plays an important role in the reduction of mortality and complications, but the treatment fails in some infants.This study aimed to identify the predictors of continuous positive airway pressure (CPAP) failure in preterm infants with RDS.This Sunglasses cross-sectional retrosp

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

The pervasive use of heterogeneous and non-proprietary information and communication technology exposes the power grid to cyber-attacks.In particular, monitoring-control attacks (MCA), which manipulate control decisions by fabricating measurements, are Tanks highly threatening, because MCA are difficult to detect and can coordinately inflict severe

Oil derived from Jatropha is a potential alternative to fossil fuels for Diesel engines in Mozambique because it can be cheaper and more easily available than fatty acid methyl ester, though the physical properties, e.g.high viscosity, might be a problem.As an attempt to use Jatropha oil (JO) CLAY MATTE POMADE in Diesel engines, the present study m