The first results of a new approach for implementing operational monitoring tool to control the performance of forest mechanisation chains are proposed and discussed.The solution is based on Global Navigation Satellite System (GNSS) tools that are the core of a datalogging system that, in combination with a specific inference-engine, is able to ana
Abdominal and pelvic radiographs of medical devices and materials- part 2: neurologic and genitourinary devices and materials
Radiographs of the abdomen and pelvis are routinely obtained as a standard part of clinical care for the abdomen and pelvis.Brisk advances in technology over the last few decades have resulted in a multitude of medical devices and materials.Recognizing and evaluating these devices on abdominal and pelvic radiographs are critical, yet increasingly a
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning
Abstract Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children.Accurate diagnosis relies on experts, but such individuals are scarce.This has led to increasing interest in the development of machine learning (ML) models that can integrate neuroimaging features from functional an
Two-test algorithms for infectious disease diagnosis: Implications for COVID-19
Diagnostic assays for various infectious diseases, including COVID-19, have been challenged for their utility as standalone point-of-care diagnostic tests due to suboptimal accuracy, complexity, high cost or long turnaround times for results.It is therefore critical to optimise their use to meet the needs of users.We used a simulation approach to e