Estimation of algal colonization growth on mortar surface using a hybridization of machine learning and metaheuristic optimization

Tran, Tuyen Quang; Hoang, Nhat‐Duc

doi:10.1007/s12046-017-0652-6

Cited by 17 publications

(10 citation statements)

References 43 publications

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“…Different methods have been developed to assess the stability/susceptibility of building coatings against algal growth [ 3 , 265 , 266 , 268 , 285 ]. In product development, accelerated methods are on demand, but it is challenging to model the huge variety of factors involved [ 164 , 286 , 287 , 288 ].…”

Section: Algae Toxic To the Built Environment Or To Work Of Menmentioning

confidence: 99%

Toxic or Otherwise Harmful Algae and the Built Environment

Hofbauer

2021

Toxins

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This article gives a comprehensive overview on potentially harmful algae occurring in the built environment. Man-made structures provide diverse habitats where algae can grow, mainly aerophytic in nature. Literature reveals that algae that is potentially harmful to humans do occur in the anthropogenic environment in the air, on surfaces or in water bodies. Algae may negatively affect humans in different ways: they may be toxic, allergenic and pathogenic to humans or attack human structures. Toxin-producing alga are represented in the built environment mainly by blue green algae (Cyanoprokaryota). In special occasions, other toxic algae may also be involved. Green algae (Chlorophyta) found airborne or growing on manmade surfaces may be allergenic whereas Cyanoprokaryota and other forms may not only be toxic but also allergenic. Pathogenicity is found only in a special group of algae, especially in the genus Prototheca. In addition, rare cases with infections due to algae with green chloroplasts are reported. Algal action may be involved in the biodeterioration of buildings and works of art, which is still discussed controversially. Whereas in many cases the disfigurement of surfaces and even the corrosion of materials is encountered, in other cases a protective effect on the materials is reported. A comprehensive list of 79 taxa of potentially harmful, airborne algae supplemented with their counterparts occurring in the built environment, is given. Due to global climate change, it is not unlikely that the built environment will suffer from more and higher amounts of harmful algal species in the future. Therefore, intensified research in composition, ecophysiology and development of algal growth in the built environment is indicated.

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Section: Algae Toxic To the Built Environment Or To Work Of Menmentioning

confidence: 99%

Toxic or Otherwise Harmful Algae and the Built Environment

Hofbauer

2021

Toxins

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“…The research presented by Segers et al [24] deals with the growth of fungi on gypsum. Biodegradation of mortars was investigated by Shirakawa et al [25] or Tran and Hoang [26,27]. Concrete has also become a subject of interest [28] as well as bricks [23,29].…”

Section: Biofilmsmentioning

confidence: 99%

Computational Prediction of Susceptibility to Biofilms Growth: Two-Dimensional Analysis of Critical Construction Details

Kočí

Maděra

et al. 2020

Energies

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Retrofitting of historical and traditional buildings is an effective thermal protection measure. The presence of thermal insulation in the composition of building envelopes might, however, bring some shortages due to a decrease of exterior surface temperatures or possible water vapor condensation. These shortages can improve living conditions for various microorganisms on the exterior surfaces, especially in the case of interior thermal insulation systems that are typical with thermal bridges and thus supply the surface with heat to a greater extent. This paper, therefore, aims at the investigation of hygrothermal conditions in selected critical construction details and evaluates the results from the point of view of potential biofilms growth. Two-dimensional modeling of coupled heat and moisture is applied and the hygrothermal patterns are evaluated based on an adjusted isopleth growth model. The results showed that the duration of favorable conditions for biofilms growth is relatively low, accounting for less than 180 h in the worst-case scenario. It means the exterior surfaces of historical buildings provided with interior thermal insulation systems are not threatened by biofilms growth. Anyway, other negative aspects have been revealed that should be treated individually. Possible wood decay or increased hygrothermal straining are the typical examples in that respect.

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“…Features for classification were defined by the spectral peaks evaluated, these include: RMS value, distance between edges, variance, and energy. Thu-Hien Tran et al, [10] have proposed a ML method based on the Least Squares Support Vector Regression (LS-SVR) for modeling the growth time of the green alga Klebsormidium flaccidum on mortar surfaces. And to use optimization technique to identify an appropriate set of the LS-SVR hyper-parameters, the Flower Pollination Algorithm (FPA) is employed.…”

Section: Related Workmentioning

confidence: 99%

Freshwater Microalage Image Identification and Classification Based on Machine Learning Technique

Mary

Prabakaran

Mohan

2018

AJCST

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Algae is an aquatic organism of an enormous and diverse group, which has the ability to conduct photosynthesis. The various sorts of microalgae play trivial roles in marine and fresh water environment. Microalgae are of various sizes and shapes, ranging from unicellular to multicellular forms. These algae were from the division of Anabaena, Oscillatoria, Microcystis Scenedesmus, Pediastrum and Cosmarium found in fresh water lake. In very high density these microalgae may discolor the water, outcompete, and become poisonous to other life forms. This is technically termed as harmful algal blooms. It is one of the most serious water pollution problems. Today, humans in many ways to use microalgae’s for example, as fertilizers, soil conditioners, and livestock feed. A hybrid method is apply to automatic detection and recognition of some selected freshwater algae genera by combining the image processing technique with ANN approaches. Thus, analysis and prediction of algae is significant, which can be achieved using machine learning processing.

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Estimation of algal colonization growth on mortar surface using a hybridization of machine learning and metaheuristic optimization

Cited by 17 publications

References 43 publications

Toxic or Otherwise Harmful Algae and the Built Environment

Toxic or Otherwise Harmful Algae and the Built Environment

Computational Prediction of Susceptibility to Biofilms Growth: Two-Dimensional Analysis of Critical Construction Details

Freshwater Microalage Image Identification and Classification Based on Machine Learning Technique

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