Tax Crime Prediction with Machine Learning: A Case Study in the Municipality of São Paulo

2020 ◽  
Author(s):  
André Ippolito ◽  
Augusto Lozano
Keyword(s):  
Machine Learning ◽  
Sao Paulo ◽  
São Paulo ◽  
Crime Prediction

scholarly journals Machine Learning for Neonatal Mortality Risk Assessment: A Case Study Using Public Health Data from São Paulo

2020 ◽  
Author(s):  
Carlos Eduardo Beluzo ◽  
Luciana Correia Alves ◽  
Rodrigo Bresan ◽  
Natália Arruda ◽  
Ricardo Sovat ◽  
...  
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Risk Assessment ◽  
Network Architecture ◽  
Health Data ◽  
Sao Paulo ◽  
São Paulo ◽  
Public Health Data ◽  
Tools And Techniques

AbstractInfant mortality is a reflection of a complex combination of biological, socioeconomic and health care factors that require various data sources for a thorough analysis. Consequently, the use of specialized tools and techniques to deal with a large volume of data is extremely helpful. Machine learning has been applied to solve problems from many domains and presents great potential for the proposed problem, which would be an innovation in Brazilian reality. In this paper, an innovative method is proposed to perform a neonatal death risk assessment using computer vision techniques. Using mother, pregnancy care and child at birth features, from a dataset containing neonatal samples from São Paulo city public health data, the proposed method encodes images features and uses a custom convolutional neural network architecture to classification. Experiments show that the method is able to detect death samples with accuracy of 90.61%.

Patchwork of Industrial Neighborhoods around São Paulo Core Area: Mooca’s Case Study

2017 ◽  
Vol 03 (05) ◽  
pp. 314-324
Author(s):  
Adilson Costa Macedo ◽  
Gastão Santos Sales ◽  
Maria Isabel Imbronito
Keyword(s):  
Sao Paulo ◽  
Core Area ◽  
São Paulo

Environmental and public health effects of vehicle emissions in a large metropolis: Case study of a truck driver strike in Sao Paulo, Brazil

2020 ◽  
Vol 11 (6) ◽  
pp. 24-31 ◽  
Author(s):  
Luciana Ferreira Leite Leirião ◽  
Daniela Debone ◽  
Theotonio Pauliquevis ◽  
Nilton Manuel Évora do Rosário ◽  
Simone Georges El Khouri Miraglia
Keyword(s):  
Public Health ◽  
Health Effects ◽  
Vehicle Emissions ◽  
Sao Paulo ◽  
Truck Driver ◽  
São Paulo

Geoelectrical characterization using joint inversion of VES/TEM data: A case study in Paraná Sedimentary Basin, São Paulo State, Brazil

2014 ◽  
Vol 111 ◽  
pp. 33-46 ◽  
Author(s):  
Cassiano Antonio Bortolozo ◽  
Marco Antonio Couto ◽  
Jorge Luís Porsani ◽  
Emerson Rodrigo Almeida ◽  
Fernando Acácio Monteiro dos Santos
Keyword(s):  
Sedimentary Basin ◽  
Joint Inversion ◽  
Sao Paulo ◽  
São Paulo ◽  
Paulo State ◽  
São Paulo State ◽  
Paraná Sedimentary Basin

Satisfação dos clientes: estudo de caso em uma pequena empresa do interior paulista / Customer satisfaction: case study in a small company in the interior paulista

2021 ◽  
Vol 3 (4) ◽  
pp. 3466-3477
Author(s):  
Amanda Stefany Francisco Silva ◽  
João Victor Vaz Fontes ◽  
Maria Eduarda Moraes Dos Santos
Keyword(s):  
Customer Satisfaction ◽  
Sao Paulo ◽  
São Paulo ◽  
Small Company

No atual ambiente competitivo é imperativo que as empresas busquem a contínua satisfação dos consumidores, a fim de atingir a fidelização. Diante da importância da satisfação para as empresas, este estudo analisa o grau de satisfação e propõe melhorias contínuas para um restaurante no interior de São Paulo. Para isso, aplicou-se o Método de Análise e Solução de Problemas – MASP, juntamente com um questionário para identificação do nível de satisfação dos consumidores. Os resultados indicaram que o atendimento foi o fator de insatisfação dos consumidores. Diante disso, foi elaborado um plano de ação que resultou na programação de um aplicativo e treinamentos aos funcionários, com o objetivo de melhorar o atendimento e obter melhores resultados.

scholarly journals Hirsch's index: a case study conducted at the Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo

2007 ◽  
Vol 40 (11) ◽  
pp. 1529-1536 ◽  
Author(s):  
N. Torro-Alves ◽  
R.D. Herculano ◽  
C.A.S. Terçariol ◽  
O. Kinouchi Filho ◽  
C.F.O. Graeff
Keyword(s):  
Sao Paulo ◽  
São Paulo

scholarly journals Análise do banco de atendimentos da Defesa Civil do Estado de São Paulo

2010 ◽  
Vol 33 (1) ◽  
pp. 35-43
Author(s):  
Diego José Chagas ◽  
Chou Sin Chan ◽  
Alessandra Cristina Corsi
Keyword(s):  
Data Mining ◽  
Sao Paulo ◽  
Data Organization ◽  
São Paulo ◽  
Data Mining Technique ◽  
Landslide Occurrence ◽  
Serra Do Mar ◽  
Use Of Data ◽  
Relevant Factors

In recent years the simple data organization is no longer a differential factor for institutions, since, depending on their volume, the traditional method of analysis and interpretation is extremely slow and costly. The use of data mining techniques is an alternative to allow this process semi-automatic. The objective of this work is to carry out a case study of data mining technique based on the WEKA software applied to hydrometeorological and geomorphological data which were collected in the Serra do Mar region of São Paulo State. Results obtained from the application of the association technique indicate that the presence of rock and boulders at terrains with scars and high declivity are relevant factors for the landslide occurrence.

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