Imran Naseem
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View article: Assessing the political and institutional determinants of international organizational effectiveness: diplomatic mediation, peacebuilding, and human rights advocacy in the context of Pakistan
Assessing the political and institutional determinants of international organizational effectiveness: diplomatic mediation, peacebuilding, and human rights advocacy in the context of Pakistan Open
The study investigates the role of international organizations (IOs) in the relationships between diplomatic engagement, operational constraints, peacebuilding initiatives, and human rights advocacy in Pakistan. The study employs mixed-met…
View article: Addressing environmental degradation and socioeconomic inequities through sustainable urban planning in Pakistan
Addressing environmental degradation and socioeconomic inequities through sustainable urban planning in Pakistan Open
View article: From conflict to a climate future: Unraveling the nexus between warfare and environmental degradation
From conflict to a climate future: Unraveling the nexus between warfare and environmental degradation Open
The natural environment in conflict zones is often severely impacted by warfare, with long-lasting effects on water resources and ecosystems. The ongoing conflict between Ukraine and Russia has had a significant impact on the region's natu…
View article: Deciphering the dynamics of human-environment interaction in China: Insights into renewable energy, sustainable consumption patterns, and carbon emissions
Deciphering the dynamics of human-environment interaction in China: Insights into renewable energy, sustainable consumption patterns, and carbon emissions Open
The increasing acknowledgment of the complex interplay between human actions and the natural world has generated a need to decipher human-environmental interdependence's ecological dynamics. The present research examines the intricate dyna…
View article: FinTech revolution in mineral management: Exploring the nexus between technology adoption and sustainable Resource utilization in an industry 4.0 context
FinTech revolution in mineral management: Exploring the nexus between technology adoption and sustainable Resource utilization in an industry 4.0 context Open
View article: Editorial: Artificial intelligence in bioimaging and signal processing
Editorial: Artificial intelligence in bioimaging and signal processing Open
This research topic explores the advancements in artificial intelligence (AI) in the realm of bioimaging and bio-signal processing. It encompasses a diverse range of studies spanning various bio-signal modalities and subspecialties. These …
View article: Anticancer Peptides Classification Using Kernel Sparse Representation Classifier
Anticancer Peptides Classification Using Kernel Sparse Representation Classifier Open
Cancer is one of the most challenging diseases because of its complexity, variability, and diversity of causes. It has been one of the major research topics over the past decades, yet it is still poorly understood. To this end, multifacete…
View article: Reverse Image Search for Collage: A Novel Local Feature-Based Framework
Reverse Image Search for Collage: A Novel Local Feature-Based Framework Open
Collage, a popular form of visual-content summarization technique is commonly used by internet users and digital artists. Social media usage is a rising trend that significantly affects the increasing demand for collages. The primary sourc…
View article: A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection
A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection Open
Face presentation attack detection (PAD) is considered to be an essential and critical step in modern face recognition systems. Face PAD aims at exposing an imposter or an unauthorized person seeking to deceive the authentication system. P…
View article: Anticancer Peptides Classification using Kernel Sparse Representation Classifier
Anticancer Peptides Classification using Kernel Sparse Representation Classifier Open
Cancer is one of the most challenging diseases because of its complexity, variability, and diversity of causes. It has been one of the major research topics over the past decades, yet it is still poorly understood. To this end, multifacete…
View article: Multi-Kernel Fusion for RBF Neural Networks
Multi-Kernel Fusion for RBF Neural Networks Open
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generation of radial basis function neural network is equipped with …
View article: Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer’s Disease
Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer’s Disease Open
The resting-state functional magnetic resonance imaging (rs-fMRI) modality has gained widespread acceptance as a promising method for analyzing a variety of neurological and psychiatric diseases. It is established that resting-state neuroi…
View article: Performance Analysis of Fractional Learning Algorithms
Performance Analysis of Fractional Learning Algorithms Open
Fractional learning algorithms are trending in signal processing and adaptive filtering recently. However, it is unclear whether the proclaimed superiority over conventional algorithms is well-grounded or is a myth as their performance has…
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: Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks Open
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: A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS)
A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS) Open
In this research, a novel adaptive filtering algorithm is proposed for complex domain signal processing. The proposed algorithm is based on Wirtinger calculus and is called as q-Complex Least Mean Square (q-CLMS) algorithm. The proposed al…
View article: q-RBFNN:A Quantum Calculus-based RBF Neural Network
q-RBFNN:A Quantum Calculus-based RBF Neural Network Open
In this research a novel stochastic gradient descent based learning approach for the radial basis function neural networks (RBFNN) is proposed. The proposed method is based on the q-gradient which is also known as Jackson derivative. In co…
View article: Robust image hashing based on structural and perceptual features for authentication of color images
Robust image hashing based on structural and perceptual features for authentication of color images Open
Image hashing is one of the most celebrated techniques regarding the discipline of image forensics, imageretrieval, image indexing, content verification, and zero watermarking. For such sensitive and complex problems,generation of a unique…
View article: Multi-Kernel Fusion for RBF Neural Networks
Multi-Kernel Fusion for RBF Neural Networks Open
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generation of radial basis function neural network is equipped with …
View article: Comments on “Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization”
Comments on “Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization” Open
View article: Table of contents
Table of contents Open
View article: Heart Segmentation From MRI Scans Using Convolutional Neural Network
Heart Segmentation From MRI Scans Using Convolutional Neural Network Open
Heart is one of the vital organs of human body. A minor dysfunction of heart even for a short time interval can be fatal, therefore, efficient monitoring of its physiological state is essential for the patients with cardiovascular diseases…
View article: A Novel Zero-Watermarking Based Scheme for Copyright Protection of Gray scale Images
A Novel Zero-Watermarking Based Scheme for Copyright Protection of Gray scale Images Open
Zero-watermarking of digital images is a powerful method with respect to transparency in the watermarked image. However, robustness is still a challenging characteristic for researchers. The proposed method of zero-watermarking provides a …
View article: q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm Open
Channel estimation is an essential part of modern communication systems as it enhances the overall performance of the system. In recent past a variety of adaptive learning methods have been designed to enhance the robustness and convergenc…
View article: Spatio-Temporal RBF Neural Networks
Spatio-Temporal RBF Neural Networks Open
Herein, we propose a spatio-temporal extension of RBFNN for nonlinear system\nidentification problem. The proposed algorithm employs the concept of\ntime-space orthogonality and separately models the dynamics and nonlinear\ncomplexities of…
View article: Comments on "Momentum fractional LMS for power signal parameter estimation"
Comments on "Momentum fractional LMS for power signal parameter estimation" Open
The purpose of this paper is to indicate that the recently proposed Momentum fractional least mean squares (mFLMS) algorithm has some serious flaws in its design and analysis. Our apprehensions are based on the evidence we found in the der…
View article: Comments on "Design of fractional-order variants of complex LMS and NLMS\n algorithms for adaptive channel equalization"
Comments on "Design of fractional-order variants of complex LMS and NLMS\n algorithms for adaptive channel equalization" Open
The purpose of this note is to discuss some aspects of recently proposed\nfractional-order variants of complex least mean square (CLMS) and normalized\nleast mean square (NLMS) algorithms in ``Design of Fractional-order Variants of\nComple…
View article: Enhanced ${q}$-Least Mean Square
Enhanced ${q}$-Least Mean Square Open
In this work, a new class of stochastic gradient algorithm is developed based on $q$-calculus. Unlike the existing $q$-LMS algorithm, the proposed approach fully utilizes the concept of $q$-calculus by incorporating time-varying $q$ parame…
View article: Table of content
Table of content Open