An Introduction to Water Quality Analysis - ResearchGate
This researchstudy aimed to monitor the water quality of the Parañaque River and the potential toxicity of heavy metal concentrations, specifically Cadmium and Lead, from September to...
A critical analysis of parameter choices in water quality ...
This study reviews existing research on parameter selection for measuring the water quality index, categorizing it into two groups based on strategies for reducing parameter sets. It also highlights the advantages and limitations of each approach.
Data analytics in quality 4.0: literature review and future ...
The objectives of this paper are (i) to investigate the existing literature regarding data analytics and machine learning in manufacturing quality operations; (ii) to provide clarity on the research field of Quality 4.0; (iii) to synthesize the literature review in order to identify the existing research challenges; and, (iv) to outline ...
Full article: Quality 2030: quality management for the future
The process produced five collectively elaborated and designed future research themes for QM: (a) systems perspectives applied, (b) stability in change, (c) models for smart self-organising, (d) integrating sustainable development, and (e) higher purpose as QM booster.
Artificial intelligence and statistics for quality technology ...
In light of the increasing attention to AI and its strong focus on the value of data, this special issue presents a collection of papers showing how ML or DL-based approaches can be usefully considered to solve current problems of interest in quality technology.
A comprehensive review of water quality indices (WQIs ...
It is based on physical, chemical, and biological factors that are combined into a single value that ranges from 0 to 100 and involves 4 processes: (1) parameter selection, (2) transformation of the raw data into common scale, (3) providing weights and (4) aggregation of sub-index values.
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This research study aimed to monitor the water quality of the Parañaque River and the potential toxicity of heavy metal concentrations, specifically Cadmium and Lead, from September to...
This study reviews existing research on parameter selection for measuring the water quality index, categorizing it into two groups based on strategies for reducing parameter sets. It also highlights the advantages and limitations of each approach.
The objectives of this paper are (i) to investigate the existing literature regarding data analytics and machine learning in manufacturing quality operations; (ii) to provide clarity on the research field of Quality 4.0; (iii) to synthesize the literature review in order to identify the existing research challenges; and, (iv) to outline ...
The process produced five collectively elaborated and designed future research themes for QM: (a) systems perspectives applied, (b) stability in change, (c) models for smart self-organising, (d) integrating sustainable development, and (e) higher purpose as QM booster.
In light of the increasing attention to AI and its strong focus on the value of data, this special issue presents a collection of papers showing how ML or DL-based approaches can be usefully considered to solve current problems of interest in quality technology.
It is based on physical, chemical, and biological factors that are combined into a single value that ranges from 0 to 100 and involves 4 processes: (1) parameter selection, (2) transformation of the raw data into common scale, (3) providing weights and (4) aggregation of sub-index values.