Muhammad Moinuddin
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View article: Experimental analysis of tensor LMS for determining the long-range outdoor acoustic transfer function
Experimental analysis of tensor LMS for determining the long-range outdoor acoustic transfer function Open
View article: Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator Open
Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when the data covariance matrix is ill-conditioned. T…
View article: Clinical, Radiological, and Pathological Analysis of Breast Lump
Clinical, Radiological, and Pathological Analysis of Breast Lump Open
Background The occurrence of breast lumps is more prevalent in the present-day population. Eighty percent of breast lumps are benign. There is no definitive examination or clinical analysis for the diagnosis of breast lumps.Aim The present…
View article: Sum Capacity-Based Modeling and Secrecy Analysis of MISO-NOMA Cooperative IoT Framework
Sum Capacity-Based Modeling and Secrecy Analysis of MISO-NOMA Cooperative IoT Framework Open
Non-orthogonal multiple access (NOMA) has emerged as an effective technology, aiding in latency reduction, improving security and reliability, and enhancing the spectral efficiency and capacity in Internet of Things (IoT)-enabled communica…
View article: DeepVision: Enhanced Drone Detection and Recognition in Visible Imagery through Deep Learning Networks
DeepVision: Enhanced Drone Detection and Recognition in Visible Imagery through Deep Learning Networks Open
Drones are increasingly capturing the world’s attention, transcending mere hobbies to revolutionize areas such as engineering, disaster aid, logistics, and airport protection, among myriad other fascinating applications. However, there is …
View article: Optimized Statistical Beamforming for Cooperative Spectrum Sensing in Cognitive Radio Networks
Optimized Statistical Beamforming for Cooperative Spectrum Sensing in Cognitive Radio Networks Open
In cognitive radio (CR), cooperative spectrum sensing (CSS) employs a fusion of multiple decisions from various secondary user (SU) nodes at a central fusion center (FC) to detect spectral holes not utilized by the primary user (PU). The e…
View article: The Potential and Roles of Ethnic Minorities in Disaster Risk Reduction: IDRiM2022 Conference Session Report on Muslim Communities in Japan
The Potential and Roles of Ethnic Minorities in Disaster Risk Reduction: IDRiM2022 Conference Session Report on Muslim Communities in Japan Open
Ethnic minority groups are considered vulnerable due to their cultural, linguistic, and religious differences, but some are resilient and may have the potential to work as critical stakeholders in disaster risk reduction (DRR). The special…
View article: Statistical Method Based Waveform Optimization in Collocated MIMO Radar Systems
Statistical Method Based Waveform Optimization in Collocated MIMO Radar Systems Open
Multiple-input multiple-output (MIMO) radar has acquired considerable attention as it offers an additional degree of freedom which results in performance gains when contrasted with the regular single antenna element radar system. Waveform …
View article: Statistical Beamforming for Multi-Set Space–Time Shift-Keying-Based Full-Duplex Millimeter Wave Communications
Statistical Beamforming for Multi-Set Space–Time Shift-Keying-Based Full-Duplex Millimeter Wave Communications Open
Full-duplex (FD) communication has been shown to provide an increased achievable rate, while millimeter wave (mmWave) communications benefit from a large available bandwidth that further improves the achievable rate. On the other hand, the…
View article: A Novel Krill Herd Based Random Forest Algorithm for Monitoring Patient Health
A Novel Krill Herd Based Random Forest Algorithm for Monitoring Patient Health Open
Artificial Intelligence (AI) is finding increasing application in healthcare monitoring. Machine learning systems are utilized for monitoring patient health through the use of IoT sensor, which keep track of the physiological state by way …
View article: Outage Probability analysis of Power Domain MISO-NOMA in Rayleigh Fading Channel
Outage Probability analysis of Power Domain MISO-NOMA in Rayleigh Fading Channel Open
The multiple access technique of the current wireless communication system depends on the orthogonal multiple access (OMA) technique. The availability of orthogonal resources is limited in OMA and cannot support the increasing demand for a…
View article: Outage Probability and Ergodic Capacity Analysis of MIMO-NOMA Heterogeneous Network for 5G System
Outage Probability and Ergodic Capacity Analysis of MIMO-NOMA Heterogeneous Network for 5G System Open
Based on the orthogonal multiple access (OMA) paradigm, multiple access techniques are now used in wireless networks. The capacity of OMA for orthogonal resources, which is already constrained, will be exceeded in the coming years by the d…
View article: Ergodic Capacity Analysis of Downlink Communication Systems under Covariance Shaping Equalizers
Ergodic Capacity Analysis of Downlink Communication Systems under Covariance Shaping Equalizers Open
Advances in higher-end spectrum utilization has enabled user equipment to dock multiple antenna elements, and hence make use of selectivity via equalization in new generation of mobile networks. The equalization can exploit channel statist…
View article: Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network
Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network Open
Ultrasound (US) imaging is a mature technology that has widespread applications especially in the healthcare sector. Despite its widespread use and popularity, it has an inherent disadvantage that ultrasound images are prone to speckle and…
View article: Performance Analysis of Multi-Cell Association in Downlink MU-MIMO System with Arbitrary Beamforming
Performance Analysis of Multi-Cell Association in Downlink MU-MIMO System with Arbitrary Beamforming Open
This article deals with the analysis of the multi-cell association setup, and it exploits the possibility of enhancing coverage in the envisioned sixth generation (6G) large-scale cellular networks. Specifically, we propose a simple, effec…
View article: New LADRC scheme for fractional-order systems
New LADRC scheme for fractional-order systems Open
Active Disturbance Rejection Control (ADRC) is a very promising recent concept for the design of controllers to control systems with uncertainties. Based on an extended state observer, this control structure allows both external disturbanc…
View article: Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach
Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach Open
This paper is concerned with optimizing the global minimum-variance portfolio's (GMVP) weights in high-dimensional settings where both observation and population dimensions grow at a bounded ratio. Optimizing the GMVP weights is highly inf…
View article: A Robust Approach for Speaker Identification Using Dialect Information
A Robust Approach for Speaker Identification Using Dialect Information Open
The present research is an effort to enhance the performance of voice processing systems, in our case the speaker identification system (SIS) by addressing the variability caused by the dialectical variations of a language. We present an e…
View article: A Recursive Least-Squares with a Time-Varying Regularization Parameter
A Recursive Least-Squares with a Time-Varying Regularization Parameter Open
Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some applications, regularization of the least-squares provides robustness and enhances perf…
View article: Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices
Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices Open
Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis and assessment considering the severe effects of mental stress. In contrast to other …
View article: C-Reactive Protein and Serum Lactate Dehydrogenase as Diagnostic Parameters in Acute Appendicitis
C-Reactive Protein and Serum Lactate Dehydrogenase as Diagnostic Parameters in Acute Appendicitis Open
Background Acute appendicitis is the most common disease requiring urgent surgical attention. Accurate diagnosis of acute appendicitis is based on careful history physical examination laboratory and imaging investigation. Hence this study …
View article: Constraints on Hyper-parameters in Deep Learning Convolutional Neural Networks
Constraints on Hyper-parameters in Deep Learning Convolutional Neural Networks Open
Convolutional Neural Network (CNN), a type of Deep Learning, has a very large number of hyper-meters in contrast to the Artificial Neural Network (ANN) which makes the task of CNN training more demanding. The reason why the task of tuning …
View article: Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach
Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach Open
This paper is concerned with optimizing the weights of the global minimum-variance portfolio (GMVP) in high-dimensional settings where both observation and population dimensions grow at a bounded ratio. Optimizing the GMVP weights is highl…
View article: Semi-Blind Beamforming in Beam Space MIMO NOMA for mmWave Communications
Semi-Blind Beamforming in Beam Space MIMO NOMA for mmWave Communications Open
Non-orthogonal multiple access (NOMA) scheme has gained remarkable consideration from researchers as it is a favorable technique for the future release of 5G and beyond. Recently proposed beamspace MIMO NOMA for mmWave communication has sh…
View article: Robust Incremental Least Mean Square Algorithm With Dynamic Combiner
Robust Incremental Least Mean Square Algorithm With Dynamic Combiner Open
In distributed wireless networks, the adaptation process depends on the information being shared between various nodes. The global minimum, is therefore, likely to be affected when the information shared between the nodes gets corrupted. T…
View article: Statistical Beamforming Techniques for Power Domain NOMA System
Statistical Beamforming Techniques for Power Domain NOMA System Open
Power-domain non-orthogonal multiple access (NOMA) assigns different power levels for near and far users in order to discriminate their signals by employing successive interference cancellation (SIC) at the near user. In this context, mult…
View article: Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach
Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach Open
The identification of an effective network which can efficiently meet the service requirements of the target, while maintaining ultimate performance at an increased level is significant and challenging in a fully interconnected wireless me…
View article: ECM-LSE: Prediction of Extracellular Matrix Proteins Using Deep Latent Space Encoding of k-Spaced Amino Acid Pairs
ECM-LSE: Prediction of Extracellular Matrix Proteins Using Deep Latent Space Encoding of k-Spaced Amino Acid Pairs Open
Extracelluar matrix (ECM) proteins create complex networks of macromolecules which fill-in the extracellular spaces of living tissues. They provide structural support and play an important role in maintaining cellular functions. Identifica…
View article: Beamforming Using Exact Evaluation of Leakage and Ergodic Capacity of MU-MIMO System
Beamforming Using Exact Evaluation of Leakage and Ergodic Capacity of MU-MIMO System Open
Closed-form evaluation of key performance indicators (KPIs) of telecommunication networks help perform mathematical analysis under several network configurations. This paper deals with a recent mathematical approach of indefinite quadratic…
View article: Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion
Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion Open
This paper presents the design and implementation of Adaptive Generalized Dynamic Inversion (AGDI) to track the position of a Linear Flexible Joint Cart (LFJC) system along with vibration suppression of the flexible joint. The proposed AGD…