Naveed R. Butt
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View article: Enhancing PINN Performance Through Lie Symmetry Group
Enhancing PINN Performance Through Lie Symmetry Group Open
This paper presents intersection of Physics informed neural networks (PINNs) and Lie symmetry group to enhance the accuracy and efficiency of solving partial differential equation (PDEs). Various methods have been developed to solve these …
View article: Enhancing Process Anomaly Detection Using Machine Learning-Based Control Charts: A Comparative Study with Classical Control Charts
Enhancing Process Anomaly Detection Using Machine Learning-Based Control Charts: A Comparative Study with Classical Control Charts Open
View article: Deep Neural Network Based Accurate and Fast Detection of Hidden Explosives and Narcotics Using Multi-Pulse Nuclear Quadrupole Resonance
Deep Neural Network Based Accurate and Fast Detection of Hidden Explosives and Narcotics Using Multi-Pulse Nuclear Quadrupole Resonance Open
View article: A Recurrent Lyapunov Neural Network for Fast Tracking of Unknown Single Input Single Output Nonlinear Systems
A Recurrent Lyapunov Neural Network for Fast Tracking of Unknown Single Input Single Output Nonlinear Systems Open
View article: Joint Model-Order and Robust DoA Estimation for Underwater Sensor Arrays
Joint Model-Order and Robust DoA Estimation for Underwater Sensor Arrays Open
The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based sparse reconstruction techniques have been investigated for DoA est…
View article: Instantaneous Fundamental Frequency and Model Order Estimation of Non-Stationary Harmonic Signals
Instantaneous Fundamental Frequency and Model Order Estimation of Non-Stationary Harmonic Signals Open
Estimation of the time-varying fundamental frequency is an important problem in many real-life applications, e.g. analysis of electroencephalogram (EEG) seizure signals. The instantaneous fundamental frequency (IF) of such signals is usual…
View article: Relationship of Clinical Symptoms, Comorbidities and Treatment Options along with Disease Outcomes in Individuals Tested for COVID-19 in Pakistan: A National Survey
Relationship of Clinical Symptoms, Comorbidities and Treatment Options along with Disease Outcomes in Individuals Tested for COVID-19 in Pakistan: A National Survey Open
Background: This web-based survey is done to collect and assess data from people tested for COVID-19 with PCR in Pakistan. Methods: This 3-month study is a cross-sectional online survey, conducted by Pakistan Islamic Medical Association (P…
View article: Determine the Severity of Acute Respiratory Infections by Using Pediatric Respiratory Severity Score (PRESS) in Children Visiting Federal Govt. Polyclinic hospital, Islamabad
Determine the Severity of Acute Respiratory Infections by Using Pediatric Respiratory Severity Score (PRESS) in Children Visiting Federal Govt. Polyclinic hospital, Islamabad Open
Objective: To determine the severity of acute respiratory infections in children by using Pediatric Respiratory Severity Score (PRESS). Methodology: This descriptive cross sectional study was conducted at the outpatient and emergency pa…
View article: Instantaneous Fundamental Frequency and Model Order Estimation of Non-Stationary Harmonic Signals
Instantaneous Fundamental Frequency and Model Order Estimation of Non-Stationary Harmonic Signals Open
View article: Low-Complexity Uncertainty-Set-Based Robust Adaptive Beamforming for Passive Sonar
Low-Complexity Uncertainty-Set-Based Robust Adaptive Beamforming for Passive Sonar Open
Recent work has highlighted the potential benefits of exploiting ellipsoidal uncertainty-set-based robust Capon beamformer (RCB) techniques in passive sonar. Regrettably, the computational complexity required to form RCB weights is cubic i…
View article: Source localization using virtual antenna arrays
Source localization using virtual antenna arrays Open
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View article: Computationally Efficient Robust Adaptive Beamforming for Passive Sonar
Computationally Efficient Robust Adaptive Beamforming for Passive Sonar Open
Recent work has highlighted the benefits of exploiting robust Capon beamformer (RCB) techniques in passive sonar. Unfortunately, the computational requirements for computing the standard RCB weights are cubic in the number of adaptive degr…