Amjad Rehman
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View article: Smart defense based on explainable stacked machine learning architecture for securing internet of health things with K-means clustering
Smart defense based on explainable stacked machine learning architecture for securing internet of health things with K-means clustering Open
The Internet of Health Things (IoHT) transformed current healthcare by facilitating real-time patient monitoring and remote diagnosis via networked medical equipment. The advanced prevalence of interconnected medical devices creates substa…
View article: Enhancing EFL Writing Proficiency through Peer Feedback: A Mixed-Method Analysis
Enhancing EFL Writing Proficiency through Peer Feedback: A Mixed-Method Analysis Open
Aim. This research attempts to examine the use of peer feedback to enhance writing skills and reveal the changes in students' performance and attitudes before and after the tests. In the EFL context, writing is crucial to becoming proficie…
View article: Publisher Correction: Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment
Publisher Correction: Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment Open
View article: Enhancing surveillance anomaly detection with keyframes and explainable inception model
Enhancing surveillance anomaly detection with keyframes and explainable inception model Open
The proliferation of surveillance systems in the 21st century has become critical in mitigating rising crime rates and preserving life and property. However, conventional surveillance methods struggle with detecting abnormal human activiti…
View article: Voice pathology identification using mel spectrogram features and deep learning
Voice pathology identification using mel spectrogram features and deep learning Open
Voice pathology is very important in the identification of vocal disorders. Traditional methods of diagnosing voice disorders using voice pathology are expensive, time-consuming, and subjective. The study proposed the identification of nor…
View article: Lung Cancer Classification via Entropy-Driven Feature Selection and Deep Learning Architectures on Multi-Modal Imaging Data
Lung Cancer Classification via Entropy-Driven Feature Selection and Deep Learning Architectures on Multi-Modal Imaging Data Open
View article: AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming
AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming Open
Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a challenging task, significantly impacting…
View article: Identifying Barriers to Spoken English Proficiency: A Case Study of NUML Pakistan
Identifying Barriers to Spoken English Proficiency: A Case Study of NUML Pakistan Open
This study investigates the key challenges faced by students of the English Department at the National University of Modern Languages (NUML), Pakistan, in developing spoken English proficiency. Employing a quantitative research approach, d…
View article: Frequency and Factors of Respiratory Distress Among Neonates Admitted to Intensive Care Unit
Frequency and Factors of Respiratory Distress Among Neonates Admitted to Intensive Care Unit Open
Background: Respiratory distress is a leading cause of neonatal morbidity and mortality worldwide, particularly in resource-limited settings, yet local data on its frequency, etiological spectrum, and risk factors remain limited, hindering…
View article: Energy efficient and robust node localization in WSNs using LSTM optimized DV hop framework to mitigate multihop localization errors
Energy efficient and robust node localization in WSNs using LSTM optimized DV hop framework to mitigate multihop localization errors Open
Wireless Sensor Networks (WSNs) are distributed sensor nodes that sense data from their surroundings and relay it to a central network for processing and analysis. Sensor localization is a crucial technique in WSNs, enabling precise positi…
View article: A novel hybrid fuzzy logic and federated learning framework for enhancing cybersecurity and fraud detection in IoT-enabled metaverse transactions
A novel hybrid fuzzy logic and federated learning framework for enhancing cybersecurity and fraud detection in IoT-enabled metaverse transactions Open
Increasing integration of the Internet of Things (IoT) with virtual environments like the Metaverse has opened up new avenues in the applicability of technologies but faces severe challenges to security and fraud detection. Most of the exi…
View article: Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment
Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment Open
View article: EfficientNet Deep Learning Model for Lung Cancer Early Diagnosis from Computed Tomography Scan Images with Transfer Learning
EfficientNet Deep Learning Model for Lung Cancer Early Diagnosis from Computed Tomography Scan Images with Transfer Learning Open
View article: Leveraging RAG With Transformer for Context-Based Personalized Recommendations
Leveraging RAG With Transformer for Context-Based Personalized Recommendations Open
Recent advancements in large language models (LLMs) have shown significant progress in addressing challenges related to data sparsity and the cold-start problem. In e-commerce, recommendation systems are widely used as strategic tools to b…
View article: A Normalized Exponential Piecewise Chaotic System (NEPCS) and DNA Image Cryptography Using SHA-256
A Normalized Exponential Piecewise Chaotic System (NEPCS) and DNA Image Cryptography Using SHA-256 Open
One-dimensional (1D) chaotic systems are crucial in cryptography to encrypt digital images effectively by transforming them into noise. Despite their simplicity and computational efficiency, 1D chaotic systems often struggle with short per…
View article: Tropical Cyclone Intensity Prediction Using Spatio-Temporal Data Fusion
Tropical Cyclone Intensity Prediction Using Spatio-Temporal Data Fusion Open
Tropical cyclone is a sea storm that causes important life and economic losses in the coastal regions in the tropical zone around the equator of the earth. Tropical cyclone intensity is an important characteristic used to estimate the stre…
View article: UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu
UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu Open
Hate speech and other forms of hostile communication on social media have several implications such as; fostering violence, promoting social divide, and negative psychological effects. Since such toxic language is becoming more and more co…
View article: HybridEdge: A Lightweight and Secure Hybrid Communication Protocol for the Edge-Enabled Internet of Things
HybridEdge: A Lightweight and Secure Hybrid Communication Protocol for the Edge-Enabled Internet of Things Open
View article: Comprehensive Review and Analysis on Facial Emotion Recognition: Performance Insights into Deep and Traditional Learning with Current Updates and Challenges
Comprehensive Review and Analysis on Facial Emotion Recognition: Performance Insights into Deep and Traditional Learning with Current Updates and Challenges Open
View article: MathVision: An Accessible Intelligent Agent for Visually Impaired People to Understand Mathematical Equations
MathVision: An Accessible Intelligent Agent for Visually Impaired People to Understand Mathematical Equations Open
2.2 billion people worldwide suffer from some form of vision impairment, according to the World Health Organization. Children with vision impairment and visual impairment may experience impaired physical, linguistic, and cognitive developm…
View article: Enhancing radar tracking accuracy using combined Hilbert transform and proximal gradient methods
Enhancing radar tracking accuracy using combined Hilbert transform and proximal gradient methods Open
Accurate radar tracking is crucial in defense, navigation, and surveillance applications, where high precision and resilience to noise are essential. Traditional radar tracking techniques, such as Kalman Filters and Particle Filters, often…
View article: A retinal detachment based strabismus detection through FEDCNN
A retinal detachment based strabismus detection through FEDCNN Open
View article: Brand Personality and Loyalty as Drivers of Repurchase Intentions: Evidence from Pakistani Mobile Phone Users
Brand Personality and Loyalty as Drivers of Repurchase Intentions: Evidence from Pakistani Mobile Phone Users Open
The purpose of this study was to examine the influence of brand personality and brand loyalty on repurchase intention of Pakistani mobile phone users. The population for this study comprised master’s students at large public sector univers…
View article: Intelligent real-life key-pixel image detection system for early Arabic sign language learners
Intelligent real-life key-pixel image detection system for early Arabic sign language learners Open
Lack of an effective early sign language learning framework for a hard-of-hearing population can have traumatic consequences, causing social isolation and unfair treatment in workplaces. Alphabet and digit detection methods have been the b…
View article: Correction: Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Correction: Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas Open
View article: Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas Open
Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide prevalence and high diagnostic costs. Especially in remote areas with limited medical access, undetected DR cases are on the rise. Our study introduces a…
View article: CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans
CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans Open
Brain tumors present a significant medical challenge, demanding accurate and timely diagnosis for effective treatment planning. These tumors disrupt normal brain functions in various ways, giving rise to a broad spectrum of physical, cogni…
View article: ANN: adversarial news net for robust fake news classification
ANN: adversarial news net for robust fake news classification Open
View article: Technophobia as Technology Inhibitor for Digital Learning in Education: A Systematic Literature Review
Technophobia as Technology Inhibitor for Digital Learning in Education: A Systematic Literature Review Open
View article: Mapping the Research Landscape of Buyer-Supplier Relationships: Insights and Trends from Bibliometric Analysis
Mapping the Research Landscape of Buyer-Supplier Relationships: Insights and Trends from Bibliometric Analysis Open
We conducted a bibliometric analysis of existing published articles on Buyer-Supplier Relationships (BSR) by extracting the data from the Scopus database.This analysis covered the period (1983 to 2023), using VOSviewer and Biblioshiny R fo…