C2PS: A digital twin architecture reference model for the cloud-based cyber-physical systems
Cyber-physical system (CPS) is a new trend in the Internet-of-Things related research works,
where physical systems act as the sensors to collect real-world information and …
where physical systems act as the sensors to collect real-world information and …
Automated prioritization of construction project requirements using machine learning and fuzzy Failure Mode and Effects Analysis (FMEA)
Due to the emergence of risk-based verification practices, requirement prioritization has
gained importance as a task in project requirements management. However, it is …
gained importance as a task in project requirements management. However, it is …
Modeling adaptive E-learning environment using facial expressions and fuzzy logic
The integration of two or more intelligent systems, such as deep neural networks and fuzzy
techniques, results in so-called hybrid intelligent systems. These have recently attracted …
techniques, results in so-called hybrid intelligent systems. These have recently attracted …
Economic evaluation of building energy retrofits: A fuzzy based approach
Ongoing climate action programs are prompting more stringent energy performance
standards for buildings. Consequently, energy retrofitting of existing buildings has become a …
standards for buildings. Consequently, energy retrofitting of existing buildings has become a …
Accounting for the greenhouse gas (GHG) emission double-counting in Greater Toronto and Hamilton Area (GTHA)
Industrial greenhouse gas (GHG) emission reporting has been an error-prone process due
to the lack of universally accepted guidelines. Challenges pertaining to industrial GHG …
to the lack of universally accepted guidelines. Challenges pertaining to industrial GHG …
Symptoms-based fuzzy-logic approach for COVID-19 diagnosis
The coronavirus (COVID-19) pandemic has caused severe adverse effects on the human life
and the global economy affecting all communities and individuals due to its rapid spreading …
and the global economy affecting all communities and individuals due to its rapid spreading …
ADFIST: adaptive dynamic fuzzy inference system tree driven by optimized knowledge base for indoor air quality assessment
Air quality levels do not just affect climate change; rather, it leaves a significant impact on
public health and wellbeing. Indoor air pollution is the major contributor to increased …
public health and wellbeing. Indoor air pollution is the major contributor to increased …
Fuzzy behavior-based control of three wheeled omnidirectional mobile robot
In this paper, a fuzzy behavior-based approach for a three wheeled omnidirectional mobile
robot (TWOMR) navigation has been proposed. The robot has to track either static or …
robot (TWOMR) navigation has been proposed. The robot has to track either static or …
Integrating fuzzy expert system and scoring system for safety performance evaluation of offshore oil and gas platforms in Malaysia
KHD Tang, SZM Dawal, EU Olugu - Journal of Loss Prevention in the …, 2018 - Elsevier
This study proposes an integrative safety performance evaluation framework using both
scoring and fuzzy expert systems for offshore oil and gas platforms in Malaysia. Fourteen …
scoring and fuzzy expert systems for offshore oil and gas platforms in Malaysia. Fourteen …
DC-link capacitor voltage regulation for three-phase three-level inverter-based shunt active power filter with inverted error deviation control
A new control technique known as inverted error deviation (IED) control is incorporated into
the main DC-link capacitor voltage regulation algorithm of a three-level neutral-point diode …
the main DC-link capacitor voltage regulation algorithm of a three-level neutral-point diode …