Fuzzy machine learning applications in environmental engineering: Does the ability to deal with uncertainty really matter?

A Bressane, AJS Garcia, MV Castro, SD Xerfan… - Sustainability, 2024 - mdpi.com
Statement of Problem: Environmental engineering confronts complex challenges
characterized by significant uncertainties. Traditional modeling methods often fail to …

[HTML][HTML] Understanding the role of study strategies and learning disabilities on student academic performance to enhance educational approaches: A proposal using …

A Bressane, D Zwirn, A Essiptchouk… - … and Education: Artificial …, 2024 - Elsevier
Statement of problem The students' academic performance is influenced by a complex
interplay among several factors. Traditional educational approaches often struggle to …

A non-hybrid data-driven fuzzy inference system for coagulant dosage in drinking water treatment plant: machine-learning for accurate real-time prediction

A Bressane, APG Goulart, CP Melo, IG Gomes… - Water, 2023 - mdpi.com
Coagulation is the most sensitive step in drinking water treatment. Underdosing may not
yield the required water quality, whereas overdosing may result in higher costs and excess …

Overcoming Barriers to Managing Urban Green Spaces in Metropolitan Areas: Prospects from a Case Study in an Emerging Economy.

A Bressane, AIS Loureiro… - Sustainability …, 2024 - search.ebscohost.com
Urban green spaces (UGS) are vital for the quality of life in cities. However, managing these
spaces in metropolitan areas is increasingly challenging. There is a critical gap regarding …

[HTML][HTML] Classifying visually appealing elements in parks using social media data-assisted eye-tracking: Case study of Shinsui parks in Tokyo, Japan

R Ma, Y Luo, K Furuya - Journal of Outdoor Recreation and Tourism, 2023 - Elsevier
To meet the growing outdoor recreational needs of urban residents, it is essential for
researchers to comprehend how visitors perceive and evaluate landscape elements in …

Computer-aided classification of successional stage in subtropical Atlantic Forest: A proposal based on fuzzy artificial intelligence

A Bressane, IG Gomes, GCS Da Rosa… - Environmental …, 2023 - Springer
Statement of problem. Due to the continuous variability of the forest regeneration process,
patterns of indicator variables with membership in more than one successional stage may …

Fuzzy machine learning predictions of settling velocity based on fractal aggregate physical features in water treatment

A Bressane, CP Melo, S Sharifi, PG da Silva… - Journal of Water …, 2024 - Elsevier
The dynamics of gravitational sedimentation in water treatment are crucial for optimising
particulate matter removal. This study addresses the effect of fractal aggregate features on …

[HTML][HTML] Environmental Racism in the Accessibility of Urban Green Space: A Case Study of a Metropolitan Area in an Emerging Economy

A Bressane, AIS Loureiro, RG Negri - Urban Science, 2024 - mdpi.com
Urban Green Spaces (UGS) are integral to advancing urban sustainability and improving the
quality of life in cities. However, in rapidly urbanizing regions like the São Paulo …

[HTML][HTML] Enhancing energy sustainability of building projects through nature-based solutions: A fuzzy-based decision support system

A Bressane, FH Fengler, LC de Castro Medeiros… - Nature-Based …, 2024 - Elsevier
Abstract Statement of the Problem. Lack of an artificial intelligence (AI)-driven approach to
optimize the application of nature-based solutions (NbS) for enhancing energy sustainability …

Fuzzy-based computational intelligence to support screening decision in environmental impact assessment: A complementary tool for a case-by-case project …

A Bressane, PM da Silva, FA Fiore, TA Carra… - Environmental impact …, 2020 - Elsevier
Screening is a key stage in environmental impact assessment (EIA), but the most common
approach based on policy delineation are inherently arbitrary. On the other hand, a case-by …