Shafqat Ullah Khan
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View article: Functional Outcome of Radius and Ulnar Shaft Fractures Treated With Intramedullary Kirschner’s Wire Fixation in Children
Functional Outcome of Radius and Ulnar Shaft Fractures Treated With Intramedullary Kirschner’s Wire Fixation in Children Open
Intramedullary Kirschner wire fixation proved to be an effective treatment for unstable radius and ulnar shaft fractures in children, resulting in predominantly favorable functional outcomes. The majority of patients demonstrated excellent…
View article: Antenna Array Pattern with Sidelobe Level Control using Deep Learning
Antenna Array Pattern with Sidelobe Level Control using Deep Learning Open
Motivated by the demonstrated success of artificial intelligence (AI) in wireless communications systems, this paper proposes a deep learning-based approach for generating a desired radiation pattern with sidelobe level (SLL) control in ac…
View article: Review of algorithmic solutions for deployment of neural networks on lite devices
Review of algorithmic solutions for deployment of neural networks on lite devices Open
View article: The use of corticosteroid injection in the treatment of chronic shoulder pain.
The use of corticosteroid injection in the treatment of chronic shoulder pain. Open
Objective: To determine the short term outcome of intra-articular corticosteroid injection the treatment of chronic shoulder pain. Study Design: Descriptive Study. Setting: Mardan Medical Complex, MTI. Period: 12th August 2023 to 15th Dece…
View article: Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions Open
One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is responsible for the supply of blood to each part of the body. Coronary artery disease (CAD) and chronic heart failure (CHF) often lead to hear…
View article: Diabetic Retinopathy Detection Using Genetic Algorithm‐Based CNN Features and Error Correction Output Code SVM Framework Classification Model
Diabetic Retinopathy Detection Using Genetic Algorithm‐Based CNN Features and Error Correction Output Code SVM Framework Classification Model Open
Diabetic retinopathy (DR) is a type of eye disease that may be caused in individuals suffering from diabetes which results in vision loss. DR identification and routine diagnosis is a challenging task and may need several screenings. Early…
View article: Parkinson’s Disease Diagnosis in Cepstral Domain Using MFCC and Dimensionality Reduction with SVM Classifier
Parkinson’s Disease Diagnosis in Cepstral Domain Using MFCC and Dimensionality Reduction with SVM Classifier Open
Parkinson’s disease (PD) is one of the most common and serious neurological diseases. Impairments in voice have been reported to be the early biomarkers of the disease. Hence, development of PD diagnostic tool will help early diagnosis of …
View article: Heart Risk Failure Prediction Using a Novel Feature Selection Method for Feature Refinement and Neural Network for Classification
Heart Risk Failure Prediction Using a Novel Feature Selection Method for Feature Refinement and Neural Network for Classification Open
Diagnosis of heart disease is a difficult job, and researchers have designed various intelligent diagnostic systems for improved heart disease diagnosis. However, low heart disease prediction accuracy is still a problem in these systems. F…
View article: Recovery of nutrients from concentrated liquid waste streams
Recovery of nutrients from concentrated liquid waste streams Open
Anaerobic digestion is a key technology for the treatment of organic waste streams and is used worldwide to treat domestic wastewater for the production of biogas. Alongside biogas, digestate is produced after anaerobic digestion process w…
View article: A Feature-Driven Decision Support System for Heart Failure Prediction Based on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msup><mml:mrow><mml:mi>χ</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math> Statistical Model and Gaussian Naive Bayes
A Feature-Driven Decision Support System for Heart Failure Prediction Based on Statistical Model and Gaussian Naive Bayes Open
Heart failure (HF) is considered a deadliest disease worldwide. Therefore, different intelligent medical decision support systems have been widely proposed for detection of HF in literature. However, low rate of accuracies achieved on the …
View article: Backtracking Search Optimization Paradigm for Pattern Correction of Faulty Antenna Array in Wireless Mobile Communications
Backtracking Search Optimization Paradigm for Pattern Correction of Faulty Antenna Array in Wireless Mobile Communications Open
The demand for wireless mobile communication is growing exponentially with expectations that in the near future mobile device or user will be available in every corner of the globe. Alternatively, it increases the importance of antenna arr…
View article: Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm
Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm Open
Detection and correction of faulty elements in a linear array have great importance in radar, sonar, mobile communications and satellite. Due to single element failure, the whole radiation pattern damage in terms of side lobes level and nu…
View article: Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique Open
This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthe…
View article: Wavelet Based De-noising Using Logarithmic Shrinkage Function
Wavelet Based De-noising Using Logarithmic Shrinkage Function Open
View article: Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique
Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique Open
In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by…
View article: A Neural Computational Intelligence Method Based on Legendre Polynomials for Fuzzy Fractional Order Differential Equation
A Neural Computational Intelligence Method Based on Legendre Polynomials for Fuzzy Fractional Order Differential Equation Open
In this article, Legendre simulated annealing, neural network (LSANN) is designed for fuzzy fractional order differential equations, which is employed on fractional fuzzy initial value problem (FFIVP) with triangular condition. Here, Legen…
View article: Kernel fractional affine projection algorithm
Kernel fractional affine projection algorithm Open
This paper extends the kernel affine projection algorithm to a rich, flexible and cohesive taxonomy of fractional signal processing approach. The formulation of the algorithm is established on the inclusion of Riemann–Liouville fractional …
View article: Detection of Defective Sensors in Phased Array Using Compressed Sensing and Hybrid Genetic Algorithm
Detection of Defective Sensors in Phased Array Using Compressed Sensing and Hybrid Genetic Algorithm Open
A compressed sensing based array diagnosis technique has been presented. This technique starts from collecting the measurements of the far-field pattern. The system linking the difference between the field measured using the healthy refere…