Sirish L. Shah
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View article: Refining the Clinical Pathway for Nasotracheal Intubation: An Updated Decision-Making Algorithm
Refining the Clinical Pathway for Nasotracheal Intubation: An Updated Decision-Making Algorithm Open
Nasotracheal Intubation (NTI) is a common route of airway management in many situations. Over the years, numerous techniques and approaches have been described in performing NTI safely and effectively, including many innovative techniques …
View article: Time series representation learning via cross-domain predictive and contextual contrasting: Application to fault detection
Time series representation learning via cross-domain predictive and contextual contrasting: Application to fault detection Open
View article: Patterns of Coronary Artery Occlusion in Acute Coronary Syndrome Patients Undergoing Coronary Angiography in a Cardiac Center of a Low-Middle Income Country
Patterns of Coronary Artery Occlusion in Acute Coronary Syndrome Patients Undergoing Coronary Angiography in a Cardiac Center of a Low-Middle Income Country Open
Objectives: This study aims to identify and describe the patterns of coronary artery occlusion in patients with acute coronary syndrome (ACS) undergoing coronary angiography, with a particular focus on the association of traditional cardio…
View article: Some inequalities for polynomials with a multiple zero at origin
Some inequalities for polynomials with a multiple zero at origin Open
If $P(z)$ is a polynomial of degree $n$ with origin as a zero of some multiplicity, then the estimate for $|P'(z)|$ in terms of $|P(z)|$ on $| z|=1$, when all other zeros of $P(z)$ lie in $|z|\le k,~ k\le 1$, is known [A. Aziz and W. M. Sh…
View article: Knowledge and Attitude of Hypertensive Patients to Control Hypertension at Hayatabad Medical Complex, Peshawar
Knowledge and Attitude of Hypertensive Patients to Control Hypertension at Hayatabad Medical Complex, Peshawar Open
Hypertension is a major public health concern globally, including in Pakistan, contributing significantly to cardiovascular morbidity and mortality. Despite its prevalence, knowledge and attitudes toward hypertension management remain inad…
View article: Time Series Representation Learning Via Cross-Domain Predictive and Contextual Contrasting: Application to Fault Detection
Time Series Representation Learning Via Cross-Domain Predictive and Contextual Contrasting: Application to Fault Detection Open
View article: A semi-centralized multi-agent RL framework for efficient irrigation scheduling
A semi-centralized multi-agent RL framework for efficient irrigation scheduling Open
View article: ReLU surrogates in mixed-integer MPC for irrigation scheduling
ReLU surrogates in mixed-integer MPC for irrigation scheduling Open
View article: ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling Open
Efficient water management in agriculture is important for mitigating the growing freshwater scarcity crisis. Mixed-integer Model Predictive Control (MPC) has emerged as an effective approach for addressing the complex scheduling problems …
View article: A semi-centralized multi-agent RL framework for efficient irrigation scheduling
A semi-centralized multi-agent RL framework for efficient irrigation scheduling Open
This paper proposes a Semi-Centralized Multi-Agent Reinforcement Learning (SCMARL) approach for irrigation scheduling in spatially variable agricultural fields, where management zones address spatial variability. The SCMARL framework is hi…
View article: Learning-based multi-agent MPC for irrigation scheduling
Learning-based multi-agent MPC for irrigation scheduling Open
Amid concerns about freshwater scarcity, the agricultural sector faces challenges in water conservation and optimizing crop yields, highlighting the limitations of traditional irrigation scheduling methods. To overcome these challenges, th…
View article: Semi-centralized Multi-agent RL for Irrigation Scheduling
Semi-centralized Multi-agent RL for Irrigation Scheduling Open
View article: An Unsupervised Machine Learning Approach for Process Monitoring by Visual Analytics
An Unsupervised Machine Learning Approach for Process Monitoring by Visual Analytics Open
View article: Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling
Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling Open
The agricultural sector currently faces significant challenges in water resource conservation and crop yield optimization, primarily due to concerns over freshwater scarcity. Traditional irrigation scheduling methods often prove inadequate…
View article: Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data Open
Improving the accuracy of soil moisture estimation is required for advancing irrigation scheduling and water conservation efforts. Central to this task are soil hydraulic parameters, which govern moisture dynamics but are rarely known prec…
View article: Application of Alarm Correlations in Root Cause Diagnosis of Plant-wide Oscillations*
Application of Alarm Correlations in Root Cause Diagnosis of Plant-wide Oscillations* Open
Plant-wide oscillations are common types of disturbances in industrial processes, whose effects propagate to multiple process units through material and/or information flow paths. Such oscillations cause poor controller performance and thu…
View article: Maximizing Soil Moisture Estimation Accuracy Through Simultaneous Hydraulic Parameter Estimation Using Microwave Remote Sensing: Methodology and Application
Maximizing Soil Moisture Estimation Accuracy Through Simultaneous Hydraulic Parameter Estimation Using Microwave Remote Sensing: Methodology and Application Open
View article: An <scp>LSTM</scp>‐based mixed‐integer model predictive control for irrigation scheduling
An <span>LSTM</span>‐based mixed‐integer model predictive control for irrigation scheduling Open
The development of well‐devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation. Accordingly, in this article, a mixed‐integer model predictive control system is proposed to address …
View article: 2021 IEEE Control Systems Society Awards [Awards]
2021 IEEE Control Systems Society Awards [Awards] Open
very year, IEEE and the IEEE Control Systems Society (CSS) recognize the outstanding contributions of individuals in our technical community with a number of awards.The Society is very appreciative of the work that the respective subcommit…
View article: LSTM-based model predictive control with discrete actuators for irrigation scheduling
LSTM-based model predictive control with discrete actuators for irrigation scheduling Open
The development of well-devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation. In this article, a model predictive control (MPC) with discrete actuators is developed for irrigation…
View article: Visual Analytics: A New Paradigm for Process Monitoring
Visual Analytics: A New Paradigm for Process Monitoring Open
As a result of recent breakthroughs in computer vision technologies, significant research interest has emerged to encode process data into visual clues and treat process monitoring problems as computer vision tasks. Imaging time-series sig…
View article: LSTM-based model predictive control with discrete inputs for irrigation scheduling
LSTM-based model predictive control with discrete inputs for irrigation scheduling Open
The development of well-devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation. In this article, a model predictive control (MPC) with discrete actuators is developed for irrigation…
View article: 2020 IEEE CSS Awards
2020 IEEE CSS Awards Open
of individuals belonging to our technical community by giving a number of awards.
View article: Soil moisture map construction using microwave remote sensors and sequential data assimilation
Soil moisture map construction using microwave remote sensors and sequential data assimilation Open
Microwave remote sensors mounted on center pivot irrigation systems provide a feasible approach to obtain soil moisture information, in the form of water content maps, for the implementation of closed-loop irrigation. Major challenges such…
View article: Parameter and State Estimation of One-Dimensional Infiltration Processes: A Simultaneous Approach
Parameter and State Estimation of One-Dimensional Infiltration Processes: A Simultaneous Approach Open
The Richards equation plays an important role in the study of agro-hydrological systems. It models the water movement in soil in the vadose zone, which is driven by capillary and gravitational forces. Its states (capillary potential) and p…
View article: Simultaneous Parameter and State Estimation of Agro-Hydrological Systems
Simultaneous Parameter and State Estimation of Agro-Hydrological Systems Open
The Richards equation plays an important role in the study of agro-hydrological systems. It models the water movement in soil in the vadose zone, which is driven by capillary and gravitational forces. Its states (capillary potential) and p…
View article: Dynamic model reduction and optimal sensor placement for agro-hydrological systems
Dynamic model reduction and optimal sensor placement for agro-hydrological systems Open
One of the essential aspects of developing advanced closed-loop irrigation is the estimation of soil moisture from a limited number of available sensors. One of the challenges is to find the optimal location of the sensors in a large heter…
View article: Change Point Detection using the Kantorovich Distance Algorithm
Change Point Detection using the Kantorovich Distance Algorithm Open
In this article, a novel change detection algorithm is proposed based on the Kantorovich distance concept. Incorporating the proposed change detection algorithm with the existing process monitoring tools may assist the operator in detectin…
View article: Observability analysis for soil moisture estimation ⁎ ⁎Natural Sciences and Engineering Research Council, Canada.
Observability analysis for soil moisture estimation ⁎ ⁎Natural Sciences and Engineering Research Council, Canada. Open
The knowledge of soil moisture is important in studying climatology, earth science and most importantly irrigation decision support systems, but is often hard to determine since it is not possible to use critical measurements including moi…
View article: Cause and Effect Analysis for Decision Support in Alarm Floods
Cause and Effect Analysis for Decision Support in Alarm Floods Open
The presence of faults in large-scale facilities, quite frequently propagates plant-wide due to energy integration and consequently triggers a sequence of alarms, which are known as alarm floods. For the purpose of decision support in the …