A5052647075- Dental Radiography and Imaging
- Forensic Anthropology and Bioarchaeology Studies
- Smart Agriculture and AI
- Autopsy Techniques and Outcomes
- Nematode management and characterization studies
- Plant Disease Management Techniques
- Date Palm Research Studies
- Machine Learning in Healthcare
- Energy Load and Power Forecasting
- Plant Pathogenic Bacteria Studies
- Digital Imaging in Medicine
- Model-Driven Software Engineering Techniques
- COVID-19 epidemiological studies
- Vibrio bacteria research studies
- Child Nutrition and Water Access
- Forecasting Techniques and Applications
- Blood donation and transfusion practices
- Software Testing and Debugging Techniques
- Data-Driven Disease Surveillance
- Software System Performance and Reliability
- dental development and anomalies
Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso
2015-2024
Universidade do Estado de Minas Gerais
2024
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul
2022-2024
Institute of Science and Technology
2022-2023
Federal Ministry of Science & Technology
2022-2023
University of Dundee
2022
Universidade Federal de São Carlos
2015
Ministry of Health
2013
Abstract Convolutional neural networks (CNN) led to important solutions in the field of Computer Vision. More recently, forensic sciences benefited from resources artificial intelligence, especially procedures that normally require operator-dependent steps. Forensic tools for sexual dimorphism based on morphological dental traits are available but have limited performance. This study aimed test application a machine learning setup distinguish females and males using dentomaxillofacial...
Forensic odontologists use biological patterns to estimate chronological age for the judicial system. The of majority is a legally significant period with limited set reliable oral landmarks. Currently, experts rely on questionable development third molars assess whether litigants can be prosecuted as legal adults. Identification new and novel may illuminate features more dependably indicative age, which have, until now, remained unseen. Unfortunately, biased perceptions cognitive capacity...
Third molar development is used for dental age estimation when all the other teeth are fully mature. In most medicolegal facilities, an operator-dependent procedure. During examination of unaccompanied and undocumented minors, this procedure may lead to binary decisions around thresholds legal interest, namely ages 14, 16 18 years. This study aimed test performance artificial intelligence classify individuals below above years using third development. The sample consisted 11,640 panoramic...
Plant diseases are considered one of the main factors influencing food production and to minimize losses in production, it is essential that crop have a fast detection recognition. Nowadays, recent studies use deep learning techniques diagnose plant an attempt solve problem: fast, low-cost efficient methodology diseases. In this work, we propose classical convolutional neural network (CNN) models trained from scratch Multichannel CNN (M-CNN) approach train evaluate PlantVillage dataset,...
TB/HIV coinfection poses a complex public health challenge. Accurate forecasting of future trends is essential for efficient resource allocation and intervention strategy development. This study compares classical statistical machine learning models to predict cases stratified by gender the general populations. We analyzed time series data using exponential smoothing ARIMA establish baseline trend seasonality. Subsequently, (SVR, XGBoost, LSTM, CNN, GRU, CNN-GRU, CNN-LSTM) were employed...
Cholera remains endemic in sub-Saharan Africa. We characterized the 2009 cholera outbreaks Kenya and evaluated response.We analyzed surveillance data estimated case fatality rates (CFRs). Households 2 districts, East Pokot (224 cases; CFR = 11.7%) Turkana South (1493 1.0%), were surveyed. randomly selected 15 villages 8 households per village each district. Healthcare workers at 27 health facilities (HFs) surveyed both districts.In 2009, caused a reported 11 425 cases 264 deaths Kenya. Data...
Abstract Convolutional neural networks (CNN) led to important solutions in the field of Computer Vision. More recently, forensic sciences benefited from resources artificial intelligence, especially procedures that normally require operator-dependent steps. Forensic tools for sexual dimorphism based on morphological dental traits are available but have limited performance. This study aimed test application a machine learning setup distinguish females and males using dentomaxillofacial...
<title>Abstract</title> Considering the complexity and severity of TB/HIV coinfection, accuracy in forecasting future trends is crucial for efficient allocation public health resources development intervention strategies. This study explores application predictive models, ranging from classical statistical approaches to machine learning techniques, analyze time series coinfection case notifications stratified men, women, general population. Traditional models using Exponential Smoothing...
Context: Model-Driven Development (MDD) is about to become a reality in the development of enterprise information systems due its benefits, such as reduction and maintenance costs, support for controlled evolution. Consequently, testing model transformations, considering their high complexity particularly regarding Model-to-Text (M2T) plays key role increase confidence the produced artefacts. Objective: this paper aims characterize approaches test selection criteria that focus...
Phytoparasitic nematodes (or phytonematodes) are causing severe damage to crops and generating large-scale economic losses worldwide. In soybean crops, annual estimated at 10.6% of world production. Besides, identifying these species through microscopic analysis by an expert with taxonomy knowledge is often laborious, time-consuming, susceptible failure. this perspective, robust automatic approaches necessary for phytonematodes capable providing correct diagnoses the classification...
Abstract Third molar development is used for dental age estimation when all the other teeth are fully mature. In most medicolegal facilities, an operator-dependent procedure. During examination of unaccompanied and undocumented minors, this procedure may lead to binary decisions around thresholds legal interest, namely ages 14, 16 18 years. This study aimed test performance artificial intelligence classify individuals below above years using third development. The sample consisted 11.640...