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Francisco José da Silva e Silva

Researcher at Federal University of Maranhão

Publications -  67
Citations -  496

Francisco José da Silva e Silva is an academic researcher from Federal University of Maranhão. The author has contributed to research in topics: Middleware & Context (language use). The author has an hindex of 11, co-authored 62 publications receiving 379 citations.

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Proceedings ArticleDOI

The Mobile Hub concept: Enabling applications for the Internet of Mobile Things

TL;DR: The Mobile Hub extends the previous mobile-cloud communication middleware SDDL, so that it is able to provide scalable and reliable mobile communication and data processing capabilities to mobile smart objects.
Journal ArticleDOI

Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET

TL;DR: An authentication-based protocol (A-MAC) for smart vehicular communication is proposed along with a novel framework towards an IoV architecture model, which demonstrates that A-MAC outshines other protocols in terms of communication cost, execution time, storage cost, and overhead.
Journal ArticleDOI

A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications.

TL;DR: A state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support for IoT-oriented middleware systems and a newmiddleware with comprehensive quality of Context support for Internet of Things Applications are presented.
Journal ArticleDOI

A comprehensive and scalable middleware for Ambient Assisted Living based on cloud computing and Internet of Things

TL;DR: The Mobile‐Hub/Scalable Data Distribution Layer is presented, a middleware for AAL based on cloud computing and IoT that can handle the requirements of the main health monitoring scenarios and results that demonstrate the ability to opportunistically discover and connect with sensors in a timely manner and the scalability necessary for handling the connection and data processing of many connected patients.
Proceedings ArticleDOI

Mobile Mental Health: A Review of Applications for Depression Assistance

TL;DR: This paper aims to identify, analyze and characterize the current state of mobile applications focused on depression, and evidenced that there is a growth in the diversity of apps' purposes such as chatbot, online therapy, educational tools, mood tracker, testing, and self-help.