Methods and models in process safety and risk management: Past, present and future
The paper reviews past progress in the development of methods and models for process
safety and risk management and highlights the present research trends; also it outlines the …
safety and risk management and highlights the present research trends; also it outlines the …
Barriers to access of primary healthcare by immigrant populations in Canada: a literature review
S Ahmed, NS Shommu, N Rumana… - Journal of immigrant and …, 2016 - Springer
To summarize information obtained from original research about barriers to access of
primary healthcare by Canadian immigrants' and to identify research gaps. Electronic …
primary healthcare by Canadian immigrants' and to identify research gaps. Electronic …
[HTML][HTML] Review of recent metamaterial microfluidic sensors
Metamaterial elements/arrays exhibit a sensitive response to fluids yet with a small footprint,
therefore, they have been an attractive choice to realize various sensing devices when …
therefore, they have been an attractive choice to realize various sensing devices when …
A data-driven Bayesian network learning method for process fault diagnosis
This paper presents a data-driven methodology for fault detection and diagnosis (FDD) by
integrating the principal component analysis (PCA) with the Bayesian network (BN). Though …
integrating the principal component analysis (PCA) with the Bayesian network (BN). Though …
[HTML][HTML] Complementary split-ring resonator-loaded microfluidic ethanol chemical sensor
In this paper, a complementary split-ring resonator (CSRR)-loaded patch is proposed as a
microfluidic ethanol chemical sensor. The primary objective of this chemical sensor is to …
microfluidic ethanol chemical sensor. The primary objective of this chemical sensor is to …
A deep learning model for process fault prognosis
Early fault detection and fault prognosis are crucial functions to ensure safe process
operations. Fault prognosis can detect and isolate early developing faults as well as predict …
operations. Fault prognosis can detect and isolate early developing faults as well as predict …
Effects of treatment on exercise tolerance, cardiac function, and mortality in heart failure with preserved ejection fraction: a meta-analysis
DJ Holland, DJ Kumbhani, SH Ahmed… - Journal of the American …, 2011 - jacc.org
Objectives: We sought to determine whether pharmacologic interventions changed exercise
capacity, diastolic function, and mortality in a meta-analysis of trials in heart failure with …
capacity, diastolic function, and mortality in a meta-analysis of trials in heart failure with …
IBLEACH: intra-balanced LEACH protocol for wireless sensor networks
Wireless sensor networks (WSNs) are composed of many low cost, low power devices with
sensing, local processing and wireless communication capabilities. Recent advances in …
sensing, local processing and wireless communication capabilities. Recent advances in …
An analysis of process fault diagnosis methods from safety perspectives
Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …
A bibliometric review and analysis of data-driven fault detection and diagnosis methods for process systems
Accident prevention is one of the most desired and challenging goals in process industries.
For accident prevention, fault detection and diagnosis (FDD) is critical. FDD has been an …
For accident prevention, fault detection and diagnosis (FDD) is critical. FDD has been an …