Flood Mapping Using Remote Sensing Imagery and Artificial Intelligence Techniques: A Case Study in Brumadinho, Brazil

2019 ◽  
Vol 90 (sp1) ◽  
pp. 197
Author(s):  
Mutiara Syifa ◽  
Sung Jae Park ◽  
Arief Rizqiyanto Achmad ◽  
Chang-Wook Lee ◽  
Jinah Eom
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Flood Mapping ◽  
Remote Sensing Imagery ◽  
Artificial Intelligence Techniques

A Fuzzy Segmentation Approach to Guide Marketing Decisions

2012 ◽  
pp. 291-311
Author(s):  
Mònica Casabayó ◽  
Núria Agell
Keyword(s):  
Artificial Intelligence ◽  
Energy Industry ◽  
Real Case ◽  
Artificial Intelligence Techniques ◽  
Segmentation Approach ◽  
Fuzzy Segmentation ◽  
Realistic Information

The aim of this chapter is to present a fuzzy segmentation model that combines statistical and Artificial Intelligence techniques to identify and quantify multifaceted consumers. One of the primary challenges faced by companies is getting to know their consumers. The latter are increasingly complex, versatile, ever-changing, and even contradictory; in other words, they are multifaceted. There is thus a need for techniques and tools to be able to segment this type of consumer in order to provide companies with the realistic information they need to make the appropriate marketing decisions. A real case study from the Spanish energy industry is included in this chapter to demonstrate the potential of the segmentation model being proposed.

APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO REMOTE SENSING∗

1986 ◽  
Vol 38 (2) ◽  
pp. 133-141 ◽  
Author(s):  
John E. Estes ◽  
Charlene Sailer ◽  
Larry R. Tinney
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Artificial Intelligence Techniques

A Fuzzy Segmentation Approach to Guide Marketing Decisions

E-Marketing ◽  
2012 ◽  
pp. 368-388
Author(s):  
Mònica Casabayó ◽  
Núria Agell
Keyword(s):  
Artificial Intelligence ◽  
Energy Industry ◽  
Real Case ◽  
Artificial Intelligence Techniques ◽  
Segmentation Approach ◽  
Fuzzy Segmentation ◽  
Realistic Information

The aim of this chapter is to present a fuzzy segmentation model that combines statistical and Artificial Intelligence techniques to identify and quantify multifaceted consumers. One of the primary challenges faced by companies is getting to know their consumers. The latter are increasingly complex, versatile, ever-changing, and even contradictory; in other words, they are multifaceted. There is thus a need for techniques and tools to be able to segment this type of consumer in order to provide companies with the realistic information they need to make the appropriate marketing decisions. A real case study from the Spanish energy industry is included in this chapter to demonstrate the potential of the segmentation model being proposed.

scholarly journals Artificial intelligence and remote sensing for spatial prediction of daily air temperature: case study of Souss watershed of Morocco

2022 ◽  
pp. 1-15
Author(s):  
Modeste Meliho ◽  
Abdellatif Khattabi ◽  
Driss Zejli ◽  
Collins Ashianga Orlando ◽  
Caleb E. Dansou
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Air Temperature ◽  
Spatial Prediction
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