A5012283902- Software Engineering Research
- Software Engineering Techniques and Practices
- Petri Nets in System Modeling
- Context-Aware Activity Recognition Systems
- Business Process Modeling and Analysis
- Formal Methods in Verification
- Software Reliability and Analysis Research
- IoT and Edge/Fog Computing
- Service-Oriented Architecture and Web Services
- Software System Performance and Reliability
- Distributed systems and fault tolerance
- Advanced Software Engineering Methodologies
- Real-Time Systems Scheduling
- Healthcare Technology and Patient Monitoring
- Big Data and Business Intelligence
- Safety Systems Engineering in Autonomy
- Energy Efficient Wireless Sensor Networks
- Advanced Database Systems and Queries
- Multimedia Communication and Technology
- Bluetooth and Wireless Communication Technologies
- Cloud Computing and Resource Management
- Wireless Networks and Protocols
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Battery Technologies Research
- Peer-to-Peer Network Technologies
Universidade Federal de Campina Grande
2016-2025
Software (Spain)
2018-2023
Universidade Federal de Alagoas
2021-2023
Federal Institute of Education, Science and Technology Alagoas
2023
Instituto Brasileiro de Controle do Câncer
2023
Array Information Technology (United States)
2022
Associação Brasileira de Antropologia
2022
Embedded Systems (United States)
2006-2020
Instituto Federal de Educação Ciência e Tecnologia da Paraíba
2016-2019
Instituto Federal de Educação, Ciência e Tecnologia do Pará
2018-2019
The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment advanced stages, which requires dialysis and transplantation, consequently, affects mortality rates. This issue faced by mobile health (mHealth) application (app) that aims to assist the early diagnosis self-monitoring of progression. A user-centered design (UCD) approach involving professionals (nurse nephrologists) target users guided development...
The high incidence and prevalence of chronic kidney disease (CKD), often caused by late diagnoses, is a critical public health problem, especially in developing countries such as Brazil. CKD treatment therapies, dialysis transplantation, increase the morbidity mortality rates, besides costs. This study analyses usage machine learning techniques to assist early diagnosis countries. Qualitative quantitative comparative are, respectively, conducted using systematic literature review an...
Internet of Things (IoT) resources cooperate with themselves for requesting and providing services. In heterogeneous complex environments, those must trust each other. On-Off attacks threaten the IoT security through nodes performing good bad behaviors randomly, to avoid being rated as a menace. Some countermeasures demand prior levels knowledge time classify node behavior. some cases, malfunctioning can be mismatched an attacker. this paper, we introduce smart management method, based on...
Chronic kidney disease (CKD) is a worldwide public health problem, usually diagnosed in the late stages of disease. To alleviate such issue, investment early prediction necessary. The purpose this study to assist CKD, addressing problems related imbalanced and limited-size datasets. We used data from medical records Brazilians with or without diagnosis containing following attributes: hypertension, diabetes mellitus, creatinine, urea, albuminuria, age, gender, glomerular filtration rate....
Background Controlling the COVID-19 outbreak in Brazil is a challenge due to population’s size and urban density, inefficient maintenance of social distancing testing strategies, limited availability resources. Objective The purpose this study effectively prioritize patients who are symptomatic for assist early detection Brazil, addressing problems related control strategies. Methods Raw data from 55,676 Brazilians were preprocessed, chi-square test was used confirm relevance following...
This paper presents a research investigation into the application of Artificial Intelligence (AI) within code review processes, aiming to enhance quality and efficiency this critical activity. An IntelliJ IDEA plugin was developed achieve objective, leveraging GPT-3.5 as foundational framework for automated assessment. The tool comprehensively analyses snippets pinpoint syntax semantic issues while proposing potential resolutions. study showcases tool's architecture, configuration methods,...
In today's rapidly changing business landscape, innovation is recognized as a critical driver of growth and competitiveness for organizations. As businesses strive to remain agile respond evolving customer demands, the need effective tools assess performance has become increasingly vital. Problem Statement: To better understand Research, Development, Innovation (RD&I) projects, it might be valuable investigate implement new approaches improve current indexes. Such exploration could allow...
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Context:</i> Software team formation is an important project management activity. However, forming appropriate teams a challenge for most of the companies. xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</i> To analyze and synthesize state art on software research. Additionally, we aim to organize identified body knowledge in as taxonomy....
Trusted Execution Environments have been applied to improve data security in many distinct application scenarios since they enable processing a separate and protected region of memory. To investigate how this technology has the different IoT scenarios, which commonly deal with specific characteristics such as device resource constraints, we carried out systematic literature review. For this, selected analyzed 58 papers from conferences journals, identifying main solutions TEE employed. We...
The Internet of Things (IoT) paradigm allows small and resource constrained devices to send data through complex networks like the Internet. Bringing IoT healthcare area, we can expand connected health vision, enabling new Personal Health Devices (PHD) share information directly In this paper explore use MQTT (Message Queue Telemetry Transport) lightweight protocol together with ISO/IEEE 11073 standard. We present ways connecting PHDs in home by Brokers, which will reduce amount traffic.
Medical Cyber-Physical Systems (MCPS) are context-aware, life-critical systems with patient safety as the main concern, demanding rigorous processes for validation to guarantee user requirement compliance and specification-oriented correctness. In this article, we propose a model-based approach early of MCPS, focusing on promoting reusability productivity. It enables system developers build MCPS formal models based library medical device models, simulate identify undesirable behaviors at...
The increasing availability of connected Personal Health Devices (PHDs) enables a new type information to be available in the Internet: health information. Most these devices have specific ways connect and share Internet through gateways or managers, creating vertical solutions where one device just talks service. In this context, paper proposes an architecture that considers use different types managers gateways, but keeping interoperability by widely adopted standards. main contribution...
Activity recognition has been widely studied in ubiquitous computing since it can be used several application domains, such as fall detection and gesture recognition.Initially, works this area were based on research-only devices (bodyworn sensors).However, with advances mobile computing, current research focuses devices, mainly, smartphones.These provide Internet access, processing, various sensors, accelerometer gyroscope, which are useful resources for activity recognition.Therefore, many...