Variable selection methods in multivariate statistical process control: A systematic literature review
Technological advances led to increasingly larger industrial quality-related datasets calling
for process monitoring methods able to handle them. In such context, the application of …
for process monitoring methods able to handle them. In such context, the application of …
Urban resilience and livability performance of European smart cities: A novel machine learning approach
Smart cities are centres of economic opulence and hope for standardized living.
Understanding the shades of urban resilience and livability in smart city models is of …
Understanding the shades of urban resilience and livability in smart city models is of …
Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections
High-dimensional data refers to a dataset that contains many variables or features, typically
with many more features p than observations n (ie n< p). With technological advancements …
with many more features p than observations n (ie n< p). With technological advancements …
How eco‐efficient are electric vehicles across Europe? A regionalized life cycle assessment‐based eco‐efficiency analysis
Sustainable transportation is at the hearth of the United Nation's Sustainable Development
Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well …
Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well …
Control charting methods for monitoring high dimensional data streams: A conceptual classification scheme
There are always challenges in various industrial or non-industrial processes in which the
product quality/service is described by a large number of quality characteristics. Thus …
product quality/service is described by a large number of quality characteristics. Thus …
Monitoring high-dimensional heteroscedastic processes using rank-based EWMA methods
Monitoring high-dimensional processes is a challenging task, as the underlying dependency
structure among variables is often too complicated to estimate accurately. The inherent …
structure among variables is often too complicated to estimate accurately. The inherent …
An adaptive multivariate EWMA chart
The adaptive multivariate EWMA (AMEWMA) and adaptive multivariate CUSUM
(AMCUSUM) charts are recently proposed as they provide an overall good detection over a …
(AMCUSUM) charts are recently proposed as they provide an overall good detection over a …
One-sided control charts for monitoring the multivariate coefficient of variation in short production runs
In production, it is common to deal with short production runs, where flexibility is required in
the built-up of parts to produce numerous variants of manufactured goods. Monitoring the …
the built-up of parts to produce numerous variants of manufactured goods. Monitoring the …
Sustainability assessment in aviation industry: A mini-review on the tools, models and methods of assessment
ER Elhmoud, AA Kutty - 2020 - qspace.qu.edu.qa
Sustainable aviation practices have significantly reduced Greenhouse Gas (GHG) emissions
over the years. However, these practices have not shaped the aviation industry in achieving …
over the years. However, these practices have not shaped the aviation industry in achieving …
A high-dimensional control chart for monitoring process variability under gauge imprecision effect
With rapid advances in data acquisition technology, develo** multivariate control charts
under high-dimensional settings has recently attracted increasing attention in many …
under high-dimensional settings has recently attracted increasing attention in many …