-
Chapter and Conference Paper
Pointwise Reliability of Machine Learning Models: Application to Cardiovascular Risk Assessment
Machine learning has made significant advances in many areas, particularly in the healthcare domain. However, despite the advances, the implementation of these models in clinical scenarios is still limited due...
-
Article
Open AccessOsteoporosis screening using machine learning and electromagnetic waves
Osteoporosis is a disease characterized by impairment of bone microarchitecture that causes high socioeconomic impacts in the world because of fractures and hospitalizations. Although dual-energy X-ray absorpt...
-
Article
Open AccessDevelopment of technologies to support the diagnosis of infectious diseases and cancer to support the primary health care
Primary Health Care (PHC) is the coordinator of health care in Brazil and needs to be strengthened in the diagnostic field to increase health care quality. Aiming to improve the diagnostic tools currently avai...
-
Chapter and Conference Paper
Technical Components Integration Using APIs for Predictive Maintenance in the Context of Industry 4.0 Digital Transformation
Digital Transformation (DT) is essential to support approaches that contribute to sustainability and circularity in different Industry 4.0 application contexts. DT presents several challenges and opportunities...
-
Chapter and Conference Paper
Industrial Automation Home-Lab (IAH-Lab) for Teaching/Learning During Covid-19 Pandemic
The Covid-19 pandemic has led to temporary disruptions to face-to-face teaching/learning at universities and other institutions, and a general shift to online or hybrid education and training. In this paper, t...
-
Chapter and Conference Paper
A Deep Learning Approach for Data-Driven Predictive Maintenance of Rolling Bearings
It is crucial for industrial companies that their systems are available and healthy as most as possible. However, it is inevitable that machines will degrade over time, leading to a fault, or even a complete b...
-
Article
Open AccessBiomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
The use of machine learning (ML) techniques in healthcare encompasses an emerging concept that envisages vast contributions to the tackling of rare diseases. In this scenario, amyotrophic lateral sclerosis (AL...
-
Chapter and Conference Paper
Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems
The growth of cyber-physical systems in the context of smart homes and the Internet of Things (IoT) offers an opportunity to specify and develop useful applications to different purposes, based on data acquire...
-
Article
Outliers detection methods in wireless sensor networks
Detection and accommodation of outliers are crucial in a number of contexts, in which collected data from a given environment is subsequently used for assessing its running conditions or for data-based decisio...
-
Chapter and Conference Paper
Demonstration: Using IPython to Demonstrate the Usage of Remote Labs in Engineering Courses – A Case Study Using a Remote Rain Gauge
The use of collaborative tools that can contribute to share and demonstrate the usage of remote experiments, to support teaching and to enhance the learning process, is of great importance in several education...
-
Chapter and Conference Paper
Intelligent HCI Device for Assistive Technology
This paper presents a new intelligent Human-Computer Interaction (HCI) device for Assistive Technology. The developed device can be used as a mouse or as a gamepad, moving a part of the human body, typically ...
-
Chapter and Conference Paper
Benefits of Using Remote Labs in Intelligent Control Teaching
The use of remote and virtual labs in teaching and learning activities can be very useful in different high education courses, especially in engineering courses. This paper presents the use of a remote experim...
-
Chapter and Conference Paper
People-Centric Internet of Things—Challenges, Approach, and Enabling Technologies
Technology now offers the possibility of delivering a vast range of low-cost people-centric services to citizens. Internet of Things (IoT) supporting technologies are becoming robust, viable and cheaper. Mobil...
-
Chapter and Conference Paper
A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks
The growing developments on networked devices, with different communication structures and capabilities made possible the emergence of new architectures for monitoring systems. In the case of heterogeneous dis...
-
Article
Fuzzy controllers gains tuning: a constrained nonlinear optimization approach
This paper presents a methodology for tuning the gains of fuzzy proportional-integral controllers where the concept of closed-loop control system performance is explicitly taken into account. The fuzzy control...
-
Chapter and Conference Paper
Multi-agent Topologies over WSANs in the Context of Fault Tolerant Supervision
Wireless Sensor and Actuator Networks can be used to detect and classify ephemeral distributed events, where different process components with different behaviours are involved. Agents implementing Distributed...
