Amandeep Kaur
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View article: A pilot study investigating the relationship between journal impact factor and methodological quality of real-world observational studies
A pilot study investigating the relationship between journal impact factor and methodological quality of real-world observational studies Open
Introduction The primary objective of this study was to investigate the association between journal Impact Factor (IF) and study quality in real-world observational studies. The secondary objective was to explore whether the association ch…
View article: Evaluation of Impact of Security Measures on Container-based and VM-based Application Performance in Cloud
Evaluation of Impact of Security Measures on Container-based and VM-based Application Performance in Cloud Open
This paper explores the trade-off between security and performance of web applications hosted on Virtual Machine based environments and container-based environments. This paper also investigates the comparison between container and Virtual…
View article: An inclusive survey on Sentiment analysis: Approaches, Challenges and Trends
An inclusive survey on Sentiment analysis: Approaches, Challenges and Trends Open
View article: Cluster Head Selection Metric in VANETs Under Dynamic Environmental Conditions
Cluster Head Selection Metric in VANETs Under Dynamic Environmental Conditions Open
View article: Adaptive Inventory Strategies using Deep Reinforcement Learning for Dynamic Agri-Food Supply Chains
Adaptive Inventory Strategies using Deep Reinforcement Learning for Dynamic Agri-Food Supply Chains Open
Agricultural products are often subject to seasonal fluctuations in production and demand. Predicting and managing inventory levels in response to these variations can be challenging, leading to either excess inventory or stockouts. Additi…
View article: Optimized Refactoring Sequence for Object-Oriented Code Smells
Optimized Refactoring Sequence for Object-Oriented Code Smells Open
maintenance challenges, reduced performance, and increased technical debt. Refactoring these smells is essential to improving software quality. However, the process of sequencing refactoring’s efficiently remains a complex optimization pro…
View article: Intelligent inventory management: AI-driven solution for the pharmaceutical supply chain
Intelligent inventory management: AI-driven solution for the pharmaceutical supply chain Open
In a fast-paced and highly regulated pharmaceutical industry, developing an inventory replenishment policy is a critical task due to its unique characteristics, including regulatory compliance, product expiration, and unpredictable demand.…
View article: A STUDY TO ASSESS THE HPV VACCINATION STATUS AND TO EVALUATE THE EFFECTIVENESS OF VIDEO ASSISTED TEACHING REGARDING CERVICAL CANCER AND ITS PREVENTION AMONG ADOLESCENT GIRLS AT SELECTED COLLEGES OF DISTRICT PATIALA
A STUDY TO ASSESS THE HPV VACCINATION STATUS AND TO EVALUATE THE EFFECTIVENESS OF VIDEO ASSISTED TEACHING REGARDING CERVICAL CANCER AND ITS PREVENTION AMONG ADOLESCENT GIRLS AT SELECTED COLLEGES OF DISTRICT PATIALA Open
Background of the study: Estimates show that nearly 96922 women are diagnosed with cervical cancer every year and about 60078 die of this disease.¹ Persistent HPV infection of the cervix if left untreated causes 95% of cervical cancers.³ T…
View article: MACHINE LEARNING AND DEEP LEARNING: A COMPARATIVE ANALYSIS FOR APPLE LEAF DISEASE DETECTION
MACHINE LEARNING AND DEEP LEARNING: A COMPARATIVE ANALYSIS FOR APPLE LEAF DISEASE DETECTION Open
Variations in the visual characteristics of leaf diameters allow for the differentiation of ill states, making leaves valuable indicators for the diagnosis of sickness. Accurate disease diagnosis depends on identifying the distinctive patt…
View article: A MIMO Antenna for 5G Wireless Applications, Designed with Hybrid Fractal Geometry and Incorporating CSRR Loading
A MIMO Antenna for 5G Wireless Applications, Designed with Hybrid Fractal Geometry and Incorporating CSRR Loading Open
View article: GBERT: A hybrid deep learning model based on GPT-BERT for fake news detection
GBERT: A hybrid deep learning model based on GPT-BERT for fake news detection Open
The digital era has expanded social exposure with easy internet access for mobile users, allowing for global communication. Now, people can get to know what is going on around the globe with just a click; however, this has also resulted in…
View article: A prospective study to assess clinicopathological correlation of head and neck masses
A prospective study to assess clinicopathological correlation of head and neck masses Open
Background: One of the most frequent clinical manifestations in the field of otorhinolaryngology is a mass in the head and neck area. A thorough history and good clinical examination including the findings of inspection and palpation are k…
View article: HSHEP: An Optimization-Based Code Smell Refactoring Sequencing Technique
HSHEP: An Optimization-Based Code Smell Refactoring Sequencing Technique Open
The process of refactoring enhances software quality by modifying its design composition while preserving its core framework. However, addressing code smells without appropriate prioritization can be ineffective. Code smells significantly …
View article: Emerging the role of trace minerals and vitamins in Alzheimer's disease
Emerging the role of trace minerals and vitamins in Alzheimer's disease Open
AD is the main contributor to dementia and one of the largest healthcare concerns of the twenty-first century. The principal components of plaques and tangles, respectively, amyloid-β (Aβ) and tau, have made molecular pathogenetic processe…
View article: Fake News Detection Datasets: A Review and Research Opportunities
Fake News Detection Datasets: A Review and Research Opportunities Open
The impact of fake news is far-reaching, affecting journalism, the economy, and democracy.In response, there has been a surge in research focused on detecting and combating fake news, resulting in the development of datasets, techniques, a…
View article: A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model
A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model Open
The Zero Trust safety architecture emerged as an intriguing approach for overcoming the shortcomings of standard network security solutions. This extensive survey study provides a meticulous explanation of the underlying principles of Zero…
View article: Multimodal Hinglish Tweet Dataset for Deep Pragmatic Analysis
Multimodal Hinglish Tweet Dataset for Deep Pragmatic Analysis Open
Wars, conflicts, and peace efforts have become inherent characteristics of regions, and understanding the prevailing sentiments related to these issues is crucial for finding long-lasting solutions. Twitter/‘X’, with its vast user base and…
View article: Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques Open
This study’s foremost objectives were to scrutinize how unexpected weather affects agricultural output and to assess how well AI-based machine learning and deep leaning algorithms work for spotting apple leaf diseases. The researchers carr…
View article: Automation of smart home for well being of individual using face detection and recognition
Automation of smart home for well being of individual using face detection and recognition Open
This work designs Face detection and recognition system to provide security to an individual living alone at home. Enhancement and improvement of this complete system is done by joining two algorithms Principle Component Analysis and Indep…
View article: The Dark Side of Cloud Computing: Challenges and Preventions
The Dark Side of Cloud Computing: Challenges and Preventions Open
View article: Histopathological Image Diagnosis for Breast Cancer Diagnosis Based on Deep Mutual Learning
Histopathological Image Diagnosis for Breast Cancer Diagnosis Based on Deep Mutual Learning Open
Every year, millions of women across the globe are diagnosed with breast cancer (BC), an illness that is both common and potentially fatal. To provide effective therapy and enhance patient outcomes, it is essential to make an accurate diag…
View article: Dragon fly algorithm based approach for escalating the security among the nodes in wireless sensor network based system
Dragon fly algorithm based approach for escalating the security among the nodes in wireless sensor network based system Open
A new technology that is gaining popularity today is the Wireless Sensor Network. Smart sensors are being used in a variety of wireless network applications, including intruder detection, transportation, the Internet of Things, smart citie…
View article: Deep learning models/techniques for COVID-19 detection: a survey
Deep learning models/techniques for COVID-19 detection: a survey Open
The early detection and preliminary diagnosis of COVID-19 play a crucial role in effectively managing the pandemic. Radiographic images have emerged as valuable tool in achieving this objective. Deep learning techniques, a subset of artifi…
View article: Review of: "Exploring machine learning techniques to develop predictive models to address unemployment rates in the implementation of Industry 4.0"
Review of: "Exploring machine learning techniques to develop predictive models to address unemployment rates in the implementation of Industry 4.0" Open
contain the current research finding. •Study organization is missing.• Overall work is good.• There is no performance comparison with existing methods, or with methods applying simpler techniques.How your approach is better than pervious t…
View article: Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis Open
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Expl…
View article: Citrus Fruit Disease Detection Techniques: A Survey and Comparative Analysis of Relevant Approaches
Citrus Fruit Disease Detection Techniques: A Survey and Comparative Analysis of Relevant Approaches Open
The incorporation of computer vision in contemporary agriculture has witnessed significant advancements, particularly in detecting diseases and deficiencies affecting citrus fruit production.This study provides an in-depth comparative anal…
View article: Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System
Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System Open
For specific intercommunication applications, latest advancements in technology and manufacturing have made it feasible to create substantial, significant, energy-efficient and cost-effective sensor nodes having the features like adaptabil…
View article: Review of: "Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data"
Review of: "Rules Extraction, Diagnoses and Prognosis of Diabetes and its Comorbidities using Deep Learning Analytics with Semantics on Big Data" Open
View article: Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm
Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm Open
Cloud computing plays an important role in every IT sector. Many tech giants such as Google, Microsoft, and Facebook as deploying their data centres around the world to provide computation and storage services. The customers either submit …
View article: PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment
PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment Open