Joel J P C Rodrigues
Biographic Data
| ID | 7842453 |
|---|---|
| NAME | Joel J P C Rodrigues |
| GIVEN NAMES | Joel J P C |
| FAMILY NAME | Rodrigues |
| SIGNATURE | RODRIGUES J J P C |
| AFFILIATIONS | Universidade Federal do Piauí |
| ORCID | 0000-0001-8657-3800 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Tofds
Owing to the breakthrough in mobile wireless communication technologies, almost everyone has been immersed into social networks, while fake news and misinformation are also being pushed into people’s minds with astonishing speed and breadth. The rising disparity between limited computing resources and the exploding news size necessitates innovative solutions to handle the challenge posed by booming data volume and make it more likely to different…
Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region
Currently, high hospital readmission rates have become a problem for mental health services, because it is directly associated with the quality of patient care. The development of predictive models with machine learning algorithms allows the assessment of readmission risk in hospitals. The main objective of this paper is to predict the readmission risk of patients with schizophrenia in a region of Spain, using machine learning algorithms. In this…
Conditional Support-Vector-Machine-Based Shared Adaptive Computing Model for Smart City Traffic Management
Smart connected vehicles are becoming standardized with the incorporation of information and communication technology. Connected vehicles are employed for surveillance and management of road traffic, navigation assistance, etc., by inheriting different analytical and communication techniques. With the Social Internet of Things (SIoT), interogrowthperable and shared computing models are adopted by the connected vehicles to perform application-spec…
A Group Discovery Method Based on Collaborative Filtering and Knowledge Graph for IoT Scenarios
With the massive growth of Internet-of-Things (IoT) devices, how to provide users with recommendation services in the IoT environment has become a research hotspot. Group discovery, as a prerequisite step of group recommendation that can be used to assist groups of users to select services in IoT-enriched environments, has an important impact on recommendation performance. However, existing group recommendation solutions assume that a user belong…
SaTYa
This article proposes a SaTya scheme that leverages a blockchain (BC)-based deep learning (DL)-assisted classifier model that forms a trusted chronology in fake news classification. The news collected from newspapers, social handles, and e-mails are web-scrapped, prepossessed, and sent to a proposed Q-global vector for word representations (Q-GloVe) model that captures the fine-grained linguistic semantics in the data. Based on the Q-GloVe output…
A lightweight cyber security framework with context-awareness for pervasive computing environments
A deep learning-based social distance monitoring framework for Covid-19
Emerging Communication Technologies for E-Health and Medicine
"This book is a fundamental source for the advancement of knowledge, application, and practice in the interdisciplinary areas of healthcare, e-health, m-health, u-health, sensors, biomedical engineering, and telemedicine" - Provided by publisher
No prominent works on this page.
Emerging Communication Technologies for E-Health and Medicine
"This book is a fundamental source for the advancement of knowledge, application, and practice in the interdisciplinary areas of healthcare, e-health, m-health, u-health, sensors, biomedical engineering, and telemedicine" - Provided by publisher
A lightweight cyber security framework with context-awareness for pervasive computing environments
A deep learning-based social distance monitoring framework for Covid-19
Conditional Support-Vector-Machine-Based Shared Adaptive Computing Model for Smart City Traffic Management
Smart connected vehicles are becoming standardized with the incorporation of information and communication technology. Connected vehicles are employed for surveillance and management of road traffic, navigation assistance, etc., by inheriting different analytical and communication techniques. With the Social Internet of Things (SIoT), interogrowthperable and shared computing models are adopted by the connected vehicles to perform application-spec…
A Group Discovery Method Based on Collaborative Filtering and Knowledge Graph for IoT Scenarios
With the massive growth of Internet-of-Things (IoT) devices, how to provide users with recommendation services in the IoT environment has become a research hotspot. Group discovery, as a prerequisite step of group recommendation that can be used to assist groups of users to select services in IoT-enriched environments, has an important impact on recommendation performance. However, existing group recommendation solutions assume that a user belong…
SaTYa
This article proposes a SaTya scheme that leverages a blockchain (BC)-based deep learning (DL)-assisted classifier model that forms a trusted chronology in fake news classification. The news collected from newspapers, social handles, and e-mails are web-scrapped, prepossessed, and sent to a proposed Q-global vector for word representations (Q-GloVe) model that captures the fine-grained linguistic semantics in the data. Based on the Q-GloVe output…
Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region
Currently, high hospital readmission rates have become a problem for mental health services, because it is directly associated with the quality of patient care. The development of predictive models with machine learning algorithms allows the assessment of readmission risk in hospitals. The main objective of this paper is to predict the readmission risk of patients with schizophrenia in a region of Spain, using machine learning algorithms. In this…
Tofds
Owing to the breakthrough in mobile wireless communication technologies, almost everyone has been immersed into social networks, while fake news and misinformation are also being pushed into people’s minds with astonishing speed and breadth. The rising disparity between limited computing resources and the exploding news size necessitates innovative solutions to handle the challenge posed by booming data volume and make it more likely to different…
Computer Science (7 works) · Artificial Intelligence (5 works) · Machine learning (4 works) · Computer security (3 works) · IoT and Edge/Fog Computing (3 works) · Medicine (3 works) · Blockchain Technology Applications and Security (2 works) · Engineering (2 works) · Misinformation and Its Impacts (2 works) · Population (2 works)