Khursheed Aurangzeb
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View article: Global, regional, and national burden of chronic kidney disease in adults, 1990–2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023
Global, regional, and national burden of chronic kidney disease in adults, 1990–2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023 Open
Gates Foundation, Wellcome, US National Kidney Foundation, and US National Institute of Diabetes and Digestive and Kidney Diseases.
View article: AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis
AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis Open
Introduction The advent of large language models and their applications have gained significant attention due to their strengths in natural language processing. Methods In this study, ChatGPT and DeepSeek are utilized as AI models to assis…
View article: Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning
Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning Open
Semi-Supervised Partial Label Learning (SPLL) aims to learn from both partial label data where each instance is associated with a candidate label set and unlabeled data. Most SPLL methods work by generating pseudo-candidate labels for unsu…
View article: Advanced Generalizations of Convex Function Inequalities: Implications for High-Order Divergence and Entropy Estimation in Information Theory
Advanced Generalizations of Convex Function Inequalities: Implications for High-Order Divergence and Entropy Estimation in Information Theory Open
The inequalities involving convex function have many applications in analysis and in recent years it has helped in estimating many entropies and divergences that are used in information theory. In this paper, an inequality constructed by t…
View article: Intelligent VANET-based traffic signal control system for emergency vehicle prioritization and improved traffic management
Intelligent VANET-based traffic signal control system for emergency vehicle prioritization and improved traffic management Open
View article: A survey on AI-enabled mobility and handover management in future wireless networks: key technologies, use cases, and challenges
A survey on AI-enabled mobility and handover management in future wireless networks: key technologies, use cases, and challenges Open
Heterogeneous Networks (HetNets) integrate Small Cells (SCs) with connectivity technologies like Long-Term Evolution (LTE), Wireless Fidelity (WiFi), and Zigbee, supported by communication protocols such as transmission control protocol an…
View article: Identification of the Best Filter-based Feature Selection Techniques for Microarray Datasets
Identification of the Best Filter-based Feature Selection Techniques for Microarray Datasets Open
This article basically explores the impact of univariate & multivariate filter-based feature selection methodologies on enhancing the classification performance for the real-life classification problems. Our study considers two univariate …
View article: Harnessing deep learning to analyze climate change impacts on crop production
Harnessing deep learning to analyze climate change impacts on crop production Open
View article: Enhanced optimisation of MPLS network traffic using a novel adjustable Bat algorithm with loudness optimizer
Enhanced optimisation of MPLS network traffic using a novel adjustable Bat algorithm with loudness optimizer Open
The increasing dependency on network connectivity necessitates superior network performance, characterized by continuous availability and high reliability. Multiprotocol Label Switching (MPLS) networks have emerged as a robust solution to …
View article: Optimizing Seminal Quality Prediction Using Machine Learning with Data Preprocessing and Feature Selection
Optimizing Seminal Quality Prediction Using Machine Learning with Data Preprocessing and Feature Selection Open
Due to the increasing prevalence of medical diseases, accurately diagnosing patients has become a significant challenge. Medical data is often raw and unstructured, requiring normalization to convert it into a suitable format for disease p…
View article: Correction to: A Novel Interpretable Graph Convolutional Neural Network for Multimodal Brain Tumor Segmentation
Correction to: A Novel Interpretable Graph Convolutional Neural Network for Multimodal Brain Tumor Segmentation Open
View article: A Comprehensive Survey on Multi‐Facet Fog‐Computing Resource Management Techniques, Trends, Applications and Future Directions
A Comprehensive Survey on Multi‐Facet Fog‐Computing Resource Management Techniques, Trends, Applications and Future Directions Open
Due to the recent advancements in high‐speed networks, underlying hardware computing resources and resource scheduling algorithms, Cloud computing has emerged as a popular computing paradigm globally providing end‐user services such as inf…
View article: DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data
DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data Open
The rapid advancement of next-generation sequencing (NGS) technology and the expanding availability of NGS datasets have led to a significant surge in biomedical research. To better understand the molecular processes, underlying cancer and…
View article: The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection
The technique of fuzzy analytic hierarchy process (FAHP) based on the triangular q-rung fuzzy numbers (TR-q-ROFNS) with applications in best African coffee brand selection Open
The African coffee market offers a rich and diverse range of coffee profiles. The coffee producers of Africa face numerous challenges like climate change, market fluctuations, diseases, soil degradation and limited access to finance. These…
View article: Enhancing Social Media User Engagement Through Personalized Content Classification
Enhancing Social Media User Engagement Through Personalized Content Classification Open
In the fast-evolving world of social media, user engagement is key to platform success. This study presents a novel approach to enhancing engagement through advanced classification algorithms for personalized content delivery, moving beyon…
View article: Enhancing 3D U-Net with Residual and Squeeze-and-Excitation Attention Mechanisms for Improved Brain Tumor Segmentation in Multimodal MRI
Enhancing 3D U-Net with Residual and Squeeze-and-Excitation Attention Mechanisms for Improved Brain Tumor Segmentation in Multimodal MRI Open
View article: An AI-Enabled Framework for Transparency and Interpretability in Cardiovascular Disease Risk Prediction
An AI-Enabled Framework for Transparency and Interpretability in Cardiovascular Disease Risk Prediction Open
View article: Quantum Inspired Adaptive Resource Management Algorithm for Scalable and Energy Efficient Fog Computing in Internet of Things (IoT)
Quantum Inspired Adaptive Resource Management Algorithm for Scalable and Energy Efficient Fog Computing in Internet of Things (IoT) Open
View article: Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model Open
Diabetic retinopathy (DR) is a severe complication of diabetes that affects the retinal structures and can lead to significant visual impairment or even blindness. Early diagnosis is crucial for reducing and preventing the progression of t…
View article: Advanced ECG Signal Analysis for Cardiovascular Disease Diagnosis Using AVOA Optimized Ensembled Deep Transfer Learning Approaches
Advanced ECG Signal Analysis for Cardiovascular Disease Diagnosis Using AVOA Optimized Ensembled Deep Transfer Learning Approaches Open
View article: Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone
Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone Open
The investigation of the flow patterns of a trihybrid nanofluid flow situated in the conical gap that is created among a revolving disc and a stationary cone computationally examined in this study. Three different types of nanoparticles, A…
View article: Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone
Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone Open
The investigation of the flow patterns of a trihybrid nanofluid flow situated in the conical gap that is created among a revolving disc and a stationary cone computationally examined in this study. Three different types of nanoparticles, A…
View article: Dynamic selectout and voting-based federated learning for enhanced medical image analysis
Dynamic selectout and voting-based federated learning for enhanced medical image analysis Open
Federated learning (FL) is a promising technique for training machine learning models on distributed, privacy-aware datasets. Nevertheless, FL faces difficulties with agent/client participation, model performance, and the heterogeneous nat…
View article: Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats
Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats Open
Ransomware is a type of malware that locks access to or encrypts its victim’s files for a ransom to be paid to get back locked or encrypted data. With the invention of obfuscation techniques, it became difficult to detect its new variants.…
View article: A novel deep learning model for predicting marine pollution for sustainable ocean management
A novel deep learning model for predicting marine pollution for sustainable ocean management Open
Climate change has become a major source of concern to the global community. The steady pollution of the environment including our waters is gradually increasing the effects of climate change. The disposal of plastics in the seas alters aq…
View article: NFT Cryptopunk Generation Using Machine Learning Algorithm (DCGAN)
NFT Cryptopunk Generation Using Machine Learning Algorithm (DCGAN) Open
A non-fungible token (NFT) is a kind of digital asset that signifies ownership or proof of authenticity of a special good or piece of material, such as artwork, music, films, or tweets. This study investigates how a deep convolutional gene…
View article: Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages
Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages Open
Generating poetry using machine and deep learning techniques has been a challenging and exciting topic of research in recent years. It has significance in natural language processing and computational linguistics. This study introduces an …
View article: DeepCGAN: early Alzheimer's detection with deep convolutional generative adversarial networks
DeepCGAN: early Alzheimer's detection with deep convolutional generative adversarial networks Open
Introduction Alzheimer's disease (AD) is a neurodegenerative disorder and the most prevailing cause of dementia. AD critically disturbs the daily routine, which usually needs to be detected at its early stage. Unfortunately, AD detection u…
View article: Navigating ambiguity: A novel neutrosophic cubic shapley normalized weighted Bonferroni Mean aggregation operator with application in the investment environment
Navigating ambiguity: A novel neutrosophic cubic shapley normalized weighted Bonferroni Mean aggregation operator with application in the investment environment Open
The Neutrosophic Cubic Shapley Normalized Bonferroni (NC-SNWBM) method represents a cutting-edge approach to decision making theory, combining three distinct mathematical frameworks the neutrosophic cubic sets (NCS), Shapley values, and th…
View article: Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis Open