Shahid Naseem
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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: Microstructure analyses and comparison of optimization results for GTAW process parameters through different advanced statistical tools
Microstructure analyses and comparison of optimization results for GTAW process parameters through different advanced statistical tools Open
Gas Tungsten Arc welding (GTAW) widely uses for many welding applications, especially for good quality welds in fabrication, manufacturing, and construction industries. Perfection level exhibits by the weld are associated with the entire v…
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: Next‐Generation Human Activity Recognition Using Locality Constrained Linear Coding Combined With Machine Learning (NG‐HAR‐LCML)
Next‐Generation Human Activity Recognition Using Locality Constrained Linear Coding Combined With Machine Learning (NG‐HAR‐LCML) Open
Accurate Human Activity Recognition (HAR) is a critical challenge with wide‐ranging applications in healthcare, assistive technologies, and human‐computer interaction. Traditional feature extraction methods often struggle to capture the co…
View article: Review of: "Calibrating DRAMPower Model: A Runtime Perspective from Real-System HPC Measurements"
Review of: "Calibrating DRAMPower Model: A Runtime Perspective from Real-System HPC Measurements" Open
View article: An Analysis of Different Security Models and the Obstacles of Ensuring Security and Privacy while Storing Data on the Cloud
An Analysis of Different Security Models and the Obstacles of Ensuring Security and Privacy while Storing Data on the Cloud Open
Every day, cloud computing—which stores user data online—becomes more and more popular. Instead of being aware of security risks, the main goal of a cloud-based system is to use the internet as a storage medium. Infrastructure as a Service…
View article: RETRACTED: Bayesian‐Edge system for classification and segmentation of skin lesions in Internet of Medical Things
RETRACTED: Bayesian‐Edge system for classification and segmentation of skin lesions in Internet of Medical Things Open
Background Skin diseases are severe diseases. Identification of these severe diseases depends upon the abstraction of atypical skin regions. The segmentation of these skin diseases is essential to rheumatologists in risk impost and for val…
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: Review of: "When a Cluster Is a Cluster"
Review of: "When a Cluster Is a Cluster" Open
View article: Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques
Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques Open
Software Defined Network (SDN) and Network Function Virtualization (NFV) technology promote several benefits to network operators, including reduced maintenance costs, increased network operational performance, simplified network lifecycle…
View article: Image Fusion Using Wavelet Transformation and XGboost Algorithm
Image Fusion Using Wavelet Transformation and XGboost Algorithm Open
Recently, there have been several uses for digital image processing.Image fusion has become a prominent application in the domain of imaging processing.To create one final image that proves more informative and helpful compared to the orig…
View article: Analysis of the Factors Influencing the Predictive Learning Performance Using Federated Learning
Analysis of the Factors Influencing the Predictive Learning Performance Using Federated Learning Open
Numerous educational institutions utilize data mining techniques to manage student records, particularly those related to academic achievements , which are essential in improving learning experiences and overall 1 Springer Nature 2021 L A …
View article: Advancing Human Activity Recognition: Locality Constrained Linear Coding and Machine Learning Approaches
Advancing Human Activity Recognition: Locality Constrained Linear Coding and Machine Learning Approaches Open
Background: The new improvements in hardware and machines showing shrewd qualities includes various procedures comprising software and hardware architectural improvements. A wide range of wearable-sensors, hardware equipment, machine and d…
View article: Hand written digits classification and recognition using convolutional neural networks by implementing the techniques of MLP and SVM
Hand written digits classification and recognition using convolutional neural networks by implementing the techniques of MLP and SVM Open
View article: Referee report. For: Modeling document labels using Latent Dirichlet allocation for archived documents in Integrated Quality Assurance System (IQAS) [version 1; peer review: 1 approved with reservations]
Referee report. For: Modeling document labels using Latent Dirichlet allocation for archived documents in Integrated Quality Assurance System (IQAS) [version 1; peer review: 1 approved with reservations] Open
View article: DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks
DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks Open
Men’s fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing the male partner in an infertile couple using a single threshold value to distinguish ‘abnormal’ and …
View article: A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing
A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing Open
Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algo…
View article: Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model Open
Around the world, brain tumors are becoming the leading cause of mortality. The inability to undertake a timely tumor diagnosis is the primary cause of this pandemic. Brain cancer diagnosis is a crucial procedure that relies on the experti…
View article: InteliRank: A Four-Pronged Agent for the Intelligent Ranking of Cloud Services Based on End-Users’ Feedback
InteliRank: A Four-Pronged Agent for the Intelligent Ranking of Cloud Services Based on End-Users’ Feedback Open
Cloud Computing (CC) provides a combination of technologies that allows the user to use the most resources in the least amount of time and with the least amount of money. CC semantics play a critical role in ranking heterogeneous data by u…
View article: In vitro and in vivo evaluations of antioxidative, anti-Alzheimer, antidiabetic and anticancer potentials of hydroponically and soil grown Lactuca sativa
In vitro and in vivo evaluations of antioxidative, anti-Alzheimer, antidiabetic and anticancer potentials of hydroponically and soil grown Lactuca sativa Open
View article: Trust identification through cognitive correlates with emphasizing attention in cloud robotics
Trust identification through cognitive correlates with emphasizing attention in cloud robotics Open
View article: Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework
Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework Open
Fog computing (FC) based sensor networks have emerged as a propitious archetype for next-generation wireless communication technology with caching, communication, and storage capacity services in the edge. Mobile edge computing (MEC) is a …
View article: Energy Reduction Through Memory Aware Real-Time Scheduling on Virtual Machine in Multi-Cores Server
Energy Reduction Through Memory Aware Real-Time Scheduling on Virtual Machine in Multi-Cores Server Open
Not only weighty energy usage pose issues for the environment, but it also raises server maintenance costs in data centers. The massive task with the various power control functions in computer components was made to minimize energy consum…
View article: Prediction of COVID-19 Cases using Machine Learning for Effective Public Health Management
Prediction of COVID-19 Cases using Machine Learning for Effective Public Health Management Open
COVID-19 is a pandemic that has affected nearly every country in the world. At present, sustainable development in the area of public health is considered vital to securing a promising and prosperous future for humans. However, widespread …
View article: Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment
Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment Open
With the rising demand for data access, network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access. To increase ef…
View article: Machine Learning Enabled Early Detection of Breast Cancer by Structural Analysis of Mammograms
Machine Learning Enabled Early Detection of Breast Cancer by Structural Analysis of Mammograms Open
Clinical image processing plays a significant role in healthcare systems and is currently a widely used methodology. In carcinogenic diseases, time is crucial; thus, an image’s accurate analysis can help treat disease at an early stage. Du…
View article: A secure and size efficient algorithm to enhance data hiding capacity and security of cover text by using unicode
A secure and size efficient algorithm to enhance data hiding capacity and security of cover text by using unicode Open
With the advancement of technology, the maximum data hiding capacity and security of cover objects have become a very challenging task for researchers, particularly in text carrier. Text carrier depicts low hiding capacity but more secure …
View article: Patient Bayesian Inference: Cloud-Based Healthcare Data Analysis Using Constraint-Based Adaptive Boost Algorithm
Patient Bayesian Inference: Cloud-Based Healthcare Data Analysis Using Constraint-Based Adaptive Boost Algorithm Open
Cloud-based healthcare data are a form of distributed data over the internet. The internet has become the most vulnerable part of critical healthcare infrastructures. Healthcare data are considered to be sensitive information, which can re…
View article: Primary User Traffic Pattern Based Opportunistic Spectrum Handoff in Cognitive Radio Networks
Primary User Traffic Pattern Based Opportunistic Spectrum Handoff in Cognitive Radio Networks Open
Through the expeditious expansion of the wireless network, the unlicensed bandwidth-based devices are growing substantially as compared to the present vacant bandwidth. Cognitive radio networks present a proficient solution to the spectrum…