A5035249647- Geography and Environmental Studies
- Energy Efficient Wireless Sensor Networks
- Academic Research in Diverse Fields
- Prosthetics and Rehabilitation Robotics
- Neural Networks and Applications
- IoT and Edge/Fog Computing
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Geochemistry and Geologic Mapping
- Smart Agriculture and AI
- Model-Driven Software Engineering Techniques
- IoT Networks and Protocols
- Mechanics and Biomechanics Studies
- Biotechnology and Related Fields
- Fish biology, ecology, and behavior
- Advanced Software Engineering Methodologies
- Cell Image Analysis Techniques
- Business and Management Studies
- Quality and Supply Management
- Biomedical and Engineering Education
- Education Pedagogy and Practices
- Brazilian Legal Issues
- Digital Image Processing Techniques
- Education and Critical Thinking Development
- Water Quality Monitoring Technologies
Universidade Federal Fluminense
2012-2025
Instituto Federal do Tocantins
2017-2024
Universidade Federal do Rio de Janeiro
2023
Universidade de Brasília
2021
Sulzer (United Kingdom)
2020
Wake Forest University
2020
Universidad Filadelfia de México
2020
American Society For Engineering Education
2020
Supply chain risk management (SCRM) has become an increasingly relevant field of study, driven by operational challenges, global crises, and the increasing complexity supply chains. Although number publications on topic increased significantly over last two decades, empirical research aimed at practical applications is still limited. In this context, present aims to select rank tools for use in SCRM direct indirect suppliers automotive industry. As a secondary objective, identify which...
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...
Model-driven development (MDD) is a software engineering discipline which suggests that should be done at the modelling level and applications generated from models. A key concept of MDD model transformation generates artifacts, such as code, Since models are 'first-class' citizens in MDD, their verification validation important tasks so transformations. contract, also model, specification what particular must implement essentially specifies relation between metamodels properties hold on...
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...
Support Vector Machines (SVMs) are supervised learning models of the machine field whose performance strongly depended on its hyperparameters. The Bio-inspired Optimization Tool for SVM (BIOTS) tool is based a Multi-Objective Particle Swarm Algorithm (MOPSO) to tune hyperparameters SVMs. In this work, BIOTS proposed along with custom hardware design generator (VHDL) that implements in Field-Programmable Gate Array (FPGA). Both tools combined create an approximate Nonlinear Model Predictive...
Support Vector Machines (SVMs) technique for achieving classifiers and regressors. However, to obtain models with high accuracy low complexity, it is necessary define the kernel parameters as well of training model, which are called hyperparameters. The challenge defining more suitable value hyperparameters Parameter Selection Problem (PSP). minimizing complexity maximizing generalization capacity SVMs conflicting criteria. Therefore, we propose Nature Inspired Optimization Tools (NIOTS)...
The combination of multispectral data and machine learning provides effective flexible monitoring the soil nutrient content, which consequently positively impacts plant productivity food security, ultimately promotes sustainable agricultural development overall. aim this study was to investigate associations between spectral variables physicochemical attributes, as well predict these attributes using inputs in models. One thousand samples were selected from areas 0–20 cm deep collected...
The Brazilian Amazonian coast, extending from Amapá to Maranhão states, is drained by a series of small medium sized rivers the Amazon basin. Pindaré-Mearim an isolated basin formed junction Pindaré and Mearim at its lower portion. Along there single reported species freshwater stingray identified as Potamotrygon motoro. Although specimens have been deposited in research institutions, most these captured on direct tributaries or along Panará-Paraguay river Hence, severe lack information P....
The optimized hybrid (FH) morphological reconstruction algorithm used in image analysis with FPGA and ASIC implementation is discussed this article. enables a fast prototyping and, today, even the introduction to market dementedly on volume. complex analyzed according its efficient realization terms of performance power consumption.
The focus of this article is to highlight the use digital games as a tool for developing spatial skills, due their immersive, playful character and generating environments with creative possibilities through platform, aspects amplified in simulated environment. As part ongoing research, present work presents an experience application Minecraft game first-year class Architecture Urbanism course. methodology, took place two meetings, which, following structure Bloom's taxonomy, students...
Atualmente existem muitas pessoas idosas que precisam de assistencia para se locomover. Neste contexto, um exoesqueleto e tipo mecanismo vestivel pode ajuda-los tanto nas tarefas reabilitacao quanto deslocamento. Em sua forma autonoma, deve ser leve forte suportar os esforcos. No entanto, existe trade-o_ entre estas caracteristicas. O projeto mecânico suas pecas requer simulacoes testes esforcos determinar o formato _otimo seja ao mesmo tempo obedeca a fator seguranca, criterios sao...