Publications by authors named "D Marcos-Jorquera"
Article Synopsis
- This study introduces a new method for beach management by combining an Overcrowding Index and a Distancing Index using computer vision technology.
- The Occupancy Index integrates these metrics to automate the monitoring of people on the beach and their spatial distribution in real time.
- Results show that as beach density increases, social distancing decreases, highlighting the effectiveness of this approach for better managing beach usage based on actual conditions.
Objective: Chronic obstructive pulmonary disease (COPD) is a disease that causes airflow limitation to the lungs and has a high morbidity around the world. The objective of this study was to evaluate how artificial intelligence (AI) is being applied for the management of the disease, analyzing the objectives that are raised, the algorithms that are used and what results they offer.
Methods: We conducted a scoping review following the Arksey and O'Malley (2005) and Levac et al.
Background: Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease with a high global prevalence. The main scientific societies dedicated to the management of this disease have published clinical practice guidelines for quality practice. However, at present, there are important weaknesses in COPD diagnosis criteria that often lead to underdiagnosis or misdiagnosis.
View Article and Find Full Text PDFArticle Synopsis
- Beach management involves addressing technical, environmental, social, and political issues to tackle coastal problems, relying on systems like Beach Certification Schemes and indicators that evaluate natural, protective, and recreational functions.
- The study critiques current management indices for their subjectivity, static nature, and focus mostly on recreational aspects, leading to gaps in supporting effective decision-making for beach managers.
- A proposed solution includes using Information and Communication Technologies (ICT) to improve beach management and monitoring, promoting greater efficiency and effectiveness through integration and automation.
Current mobile devices need to run applications with high computational demands and critical response times. The mobile edge computing (MEC) paradigm was developed to improve the performance of these devices. This new computation architecture allows for the mobile devices to execute applications on fog nodes at the network edge; this process is called data processing offloading.
View Article and Find Full Text PDF