A5014016869- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- IoT and Edge/Fog Computing
- Neonatal and fetal brain pathology
- Energy Efficient Wireless Sensor Networks
- Complex Systems and Time Series Analysis
- IoT Networks and Protocols
- Phonocardiography and Auscultation Techniques
- Software-Defined Networks and 5G
- Statistical Mechanics and Entropy
- Advanced Chemical Sensor Technologies
- Distributed Control Multi-Agent Systems
- Internet Traffic Analysis and Secure E-voting
- Air Traffic Management and Optimization
- Advanced MIMO Systems Optimization
- Network Security and Intrusion Detection
- Global trade and economics
- Mobile Ad Hoc Networks
- UAV Applications and Optimization
- Women's cancer prevention and management
- Power Line Communications and Noise
- Time Series Analysis and Forecasting
- Economic Theory and Policy
- Water Quality Monitoring Technologies
- Cloud Computing and Resource Management
INESC TEC
2020-2024
Universidade Federal de Goiás
2014-2024
Universidade do Porto
2020-2023
University of Minho
2020
Polytechnic Institute of Porto
2020
Cambridge University Press
2010
Multi-Access Edge Computing (MEC) represents the central concept that enables creation of new applications and services bring benefits edge computing to networks users. By implementing at edge, close users their devices, it becomes possible take advantage extremely low latency, substantial bandwidth, optimized resource usage. However, enabling this approach requires careful integration between MEC framework open 5G core. This work is dedicated designing a service extends functionality...
Introduction Perinatal asphyxia is one of the most frequent causes neonatal mortality, affecting approximately four million newborns worldwide each year and causing death individuals. One main reasons for these high incidences lack consensual methods early diagnosis this pathology. Estimating risk-appropriate health care mother baby essential increasing quality system. Thus, it necessary to investigate models that improve prediction perinatal asphyxia. Access cardiotocographic signals (CTGs)...
The Internet of Things (IoT) is based on objects or "things" that have the ability to communicate and transfer data. Due large number connected devices, there has been a rapid growth in amount data are transferred over Internet. To support this increase, heterogeneity devices their geographical distributions, need for IoT gateways can cope with demand. SOFTWAY4IoT project, which was funded by National Education Research Network (RNP), developed software-defined virtualized gateway supports...
The environment consists of the interaction between physical, biotic, and anthropic means. As this is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In scenario, internet things (IoT), together with traditional sensor networks, allows for monitoring various aspects such as air, water, atmospheric, soil conditions, sending data different users remote applications. This paper proposes a Standard-based Internet Things Platform Data...
This article presents an approach to autonomous flight planning of Unmanned Aerial Vehicles (UAVs)-Drones as data collectors the Internet Things (IoT). We have proposed a model for only one aircraft, well multiple ones. A clustering technique that extends scope number IoT devices (e.g., sensors) visited by UAVs is also addressed. The plan generated from focuses on preventing breakdowns due lack battery charge maximize nodes visited. In addition drone planning, storage limitation aspect...
Multi-Access Edge Computing (MEC) reduces latency, provides high-bandwidth applications with real-time performance and reliability, supporting new services for the present future Beyond Fifth Generation (B5G). Radio Network Information Service (RNIS) plays a crucial role in obtaining information from Access (RAN). With advent of 5G, RNIS requires improvements to handle generations RAN. In this scenario, improving is essential boost according strict requirements imposed. Hence, work proposes...
formas mais eficazes de prevenção.
Despite advances in prenatal health care, neonatal sepsis remains a major cause of mortality. Early diagnosis and adequate treatment are essential to reduce morbidity mortality related this disease. In paper, we propose new method detect based on heart rate (HR) complexity measures (entropy compression indices) that takes into consideration gestational age. First, the percentile curves were computed for all indices using data from 118 control neonates. Eight computed: sample entropy (SampEn)...
Neonatal sepsis is characterized by the system's extreme response to an infection and persists as one of biggest life-threatening diseases. The gold standard treatment administrating antibiotic, which, unfortunately, often made too late. diagnosis should be easier, faster, achieved through non-invasive methods. Recently, entropy, a non-linear feature, has been applied different physiological signals detect diseases having very promising results. In this study, several entropy measures were...
About 160 years ago, the concept of entropy was introduced in thermodynamics by Rudolf Clausius. Since then, it has been continually extended, interpreted, and applied researchers many scientific fields, such as general physics information theory, chaos data mining, mathematical linguistics. Based on original entropy, variants have proposed. This paper presents a universe entropies, which aims to review entropies that had time series. The purpose is answer important open research questions...
The reduction of carbon emission is imperative towards the Green Internet. Hence, this paper proposes and validates green routing metrics focused on improving energy efficiency multi-hop approaches in heterogeneous wireless people-centric environments. validation carried out through discrete event simulations based real data set traces controlled random topologies for specific case AODV. Results show improvements to network lifetime without penalizing other performance metrics.
O eficiente gerenciamento dos recursos de rádio é suma importância para garantir uma prolongada vida útil da bateria em dispositivos LoRa. Este artigo apresenta abordagem inovadora otimizar LoRa, com um foco específico na eficiência energética e longevidade contextos redes 6G. Através aplicação técnica programação linear inteira, a alocação essenciais, como o Fator Espalhamento (SF) Potência Transmissão (TP), abordada maneira estratégica. São considerados cenários realistas que incorporam...
A rápida expansão das redes digitais e o crescente número de incidentes segurança computacional tornam evidente a necessidade métodos para prevenção detecção atividades maliciosas. As abordagens tradicionais intrusão em frequentemente enfrentam limitações escalabilidade, privacidade adaptabilidade. Este artigo explora Aprendizado Federado (FL) como uma solução lidar com esses desafios. Ao descentralizar processo treinamento preservar dos dados na fonte, FL capacita os administradores rede...
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Este trabalho tem como propósito analisar o desempenho das exportações brasileiras principais Rochas Ornamentais e de Revestimento (ROR), comparativamente às mundiais, abordando-as na forma agregada desagregada. Pela aplicação do modelo Constant Market Share (CMS), procura-se identificar, no período 2004-2015, as fontes crescimento mercadorias deste setor e, dessa forma, contribuir para uma melhor compreensão dos fatores subjacentes à sua competitividade externa. Os resultados indicam que...
Physiological signals offer a vast amount of information about the well-being human system. Understanding behavior and complexity these signs is important for accurate assessments diagnoses. This study focuses on fetal heart rate (FHR) analysis its potential to detect perinatal asphyxia by analyzing how different representations FHR series could aid in detection. Additionally, compression schemes were applied evaluate as measure complexity. For this purpose, text files containing data last...
After the transition from fetal to neonatal life, cardio-respiratory system needs adapt extrauterine condition. Both cardiac and respiratory systems display complex dynamics. This study aimed investigate relationship between cardiorespiratory coupling, heart rate variability (HRV), respiration of with gestational age (GA). Several complexity measures have been developed quantify physiological signals. In this study, we applied sample entropy (SampEn) bzip2 compressor time series. The mutual...