V. Vijayakumar
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View article: Exploring the landscape of approximate subtraction methods in ASIC platform
Exploring the landscape of approximate subtraction methods in ASIC platform Open
Approximate computing has emerged as a crucial technique in modern computing, offering significant benefits for error-resilient applications. Error resilient applications include signal, image, audio processing, and multimedia. These appli…
View article: Comparative analysis of NLP-driven MCQ generators from text sources
Comparative analysis of NLP-driven MCQ generators from text sources Open
View article: Medical Insurance Costs Prediction Using Explainable AI
Medical Insurance Costs Prediction Using Explainable AI Open
This research presents an intelligent medical insurance cost prediction system leveraging machine learning techniques to enhance pricing transparency and decision-making in the healthcare insurance sector. The system is designed to estimat…
View article: Blockchain Based Cross Network Calling
Blockchain Based Cross Network Calling Open
Blockchain Based Cross Network calling is an innovative decentralized peer-to-peer (P2P) communication system leveraging WebRTC and blockchain technology. This paper explores the system architecture, scalability mechanisms, and potential f…
View article: Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks
Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks Open
Climate change has a substantial influence on groundwater levels (GWLs), which are critical for agriculture, safe drinking water, and ecosystem health, which are essential to successful water resource management and adaptation strategies. …
View article: Unsupervised Machine Learning for Bowler Performance Analysis in Indian Premier League (IPL) and Cross-League Prediction
Unsupervised Machine Learning for Bowler Performance Analysis in Indian Premier League (IPL) and Cross-League Prediction Open
View article: Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer Data
Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer Data Open
View article: Self-efficacy as students’ motivation factor in learning programming
Self-efficacy as students’ motivation factor in learning programming Open
In learning, one of the fundamental motivating factors is self-efficacy. Therefore, it is crucial to understand the level of students’ self-efficacy in learning programming. This article presents a quantitative study on undergraduate stude…
View article: Correction: Muniyappan et al. Stability and Numerical Solutions of Second Wave Mathematical Modeling on COVID-19 and Omicron Outbreak Strategy of Pandemic: Analytical and Error Analysis of Approximate Series Solutions by Using HPM. Mathematics 2022, 10, 343
Correction: Muniyappan et al. Stability and Numerical Solutions of Second Wave Mathematical Modeling on COVID-19 and Omicron Outbreak Strategy of Pandemic: Analytical and Error Analysis of Approximate Series Solutions by Using HPM. Mathematics 2022, 10, 343 Open
In the original publication [...]
View article: Relative controllability for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e23"><mml:mrow><mml:mi>ψ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>Caputo fractional delay control system
Relative controllability for Caputo fractional delay control system Open
This paper resolves around relative controllability of ψ−fractional delayed differential equations in finite dimensional space. The Mittag Leffler type of ψ−delayed perturbation matrix function with two parameters exhibits the Grammian mat…
View article: Deep learning based capsule networks for breast cancer classification using ultrasound images
Deep learning based capsule networks for breast cancer classification using ultrasound images Open
Purposes: Breast cancer (BC) is a disease in which the breast cells multiply uncontrolled. Breast cancer is one of the most often diagnosed malignancies in women worldwide. Early identification of breast cancer is critical for limiting the…
View article: Project Innovative Activity in the Higher Education System of the Russian Federation
Project Innovative Activity in the Higher Education System of the Russian Federation Open
A serious transformation of methods for implementing innovative activities, which is happening today in Russia, is difficult without improvement of the processes for managing project innovation activities of universities. This issue is not…
View article: Evaluation of risk level assessment strategies in life Insurance: A review of the literature
Evaluation of risk level assessment strategies in life Insurance: A review of the literature Open
The viability of every insurance company depends on risk assessment of new life policy proposals. Machine learning techniques are increasingly shown to double case processing speed, reducing manual evaluation time. The underwriter evaluate…
View article: Machine Learning Algorithms for Iron Deficiency Anemia Detection in Children Using Palm Images
Machine Learning Algorithms for Iron Deficiency Anemia Detection in Children Using Palm Images Open
Anemia is a common condition among adults, particularly in children and pregnant women. Anemia is defined as a lack of healthy red blood cells or hemoglobin. Early identification of anemia is critical for excellent health and well-being, w…
View article: The Future of 2D Materials Production: Graphene and Borophene on larger scale
The Future of 2D Materials Production: Graphene and Borophene on larger scale Open
The production of graphene and borophene, two distinct materials with remarkable properties, is investigated through the manipulation of charged ions in a plasma environment. Plasma, characterized by ionized atoms or molecules, offers a un…
View article: Enhancing cardiovascular disease prediction: A hybrid machine learning approach integrating oversampling and adaptive boosting techniques
Enhancing cardiovascular disease prediction: A hybrid machine learning approach integrating oversampling and adaptive boosting techniques Open
This study presents a novel approach to enhance cardiovascular disease prediction using a hybrid machine learning (ML) model. Leveraging on Synthetic Minority oversampling techniques (SMOTE) and adaptive boosting (AdaBoost), we integrate …
View article: A Novel Artificial Intelligence Techniques for Women Breast Cancer Classification Using Ultrasound Images
A Novel Artificial Intelligence Techniques for Women Breast Cancer Classification Using Ultrasound Images Open
Background: Females benefit from ultrasound screening and diagnosis of breast cancer, and artificial intelligence has enabled the automatic identification of medical conditions on medical imaging. Methods: This study aimed to develop machi…
View article: Harnessing alginate-based nanocomposites as nucleic acid/gene delivery platforms to address diverse biomedical issues: A progressive review
Harnessing alginate-based nanocomposites as nucleic acid/gene delivery platforms to address diverse biomedical issues: A progressive review Open
Among various polysaccharides, alginate-based nanostructures have etched an indelible mark on the canvas of biomolecules’ delivery. Although several review articles on the use of alginates for the delivery of drugs and other bio-active age…
View article: Segmentation based early Melanoma Detection Using Random Forest Algorithm
Segmentation based early Melanoma Detection Using Random Forest Algorithm Open
This article proposes a method to detect melanoma at the early stage before it becomes something severe. The lesion of melanoma has five stages, stage zero to stage four, of which stage one and stage two are early stages. Melanoma is mainl…
View article: Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches
Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches Open
Nowadays, social media has become a forum for people to express their views on issues such as sexual orientation, legislation, and taxes. Sexual orientation refers to individuals with whom you are attracted and wish to be engaged. In the w…
View article: Effective Factors in Diagnosing the Degree of Hepatitis C Using Machine Learning
Effective Factors in Diagnosing the Degree of Hepatitis C Using Machine Learning Open
Introduction: Hepatitis C virus (HCV) is a major public health threat, which can be treated if diagnosed early, but unfortunately, many people with chronic diseases are not diagnosed until the final stages. Machine learning and its techniq…
View article: Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers
Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers Open
The transmission of information, ideas, and thoughts requires communication, which is a crucial component of human contact. The utilization of Internet of Things (IoT) devices is a result of the advent of enormous volumes of messages deliv…
View article: Early Disease Detection Of Leaves Using Deep Learning And Drones - Cyber Physical Systems Approach
Early Disease Detection Of Leaves Using Deep Learning And Drones - Cyber Physical Systems Approach Open
View article: An Empirical Analysis of the Effects of Energy Price Shocks for Sustainable Energy on the Macro-Economy of South Asian Countries
An Empirical Analysis of the Effects of Energy Price Shocks for Sustainable Energy on the Macro-Economy of South Asian Countries Open
Energy prices (EPs) play an imperative role in South Asian Country (SAC) Gross Domestic Product (GDP). This research empirically examines the influence of sustainable energy price shocks (EPSs) on macroeconomic indicators. The study is to …
View article: A Systematic Review on Machine Learning Techniques for Early Detection of Mental, Neurological and Laryngeal Disorders Using Patient’s Speech
A Systematic Review on Machine Learning Techniques for Early Detection of Mental, Neurological and Laryngeal Disorders Using Patient’s Speech Open
There is a substantial unmet need to diagnose speech-related disorders effectively. Machine learning (ML), as an area of artificial intelligence (AI), enables researchers, physicians, and patients to solve these issues. The purpose of this…
View article: A Systematic Literature Review on Applications of GAN-Synthesized Images for Brain MRI
A Systematic Literature Review on Applications of GAN-Synthesized Images for Brain MRI Open
With the advances in brain imaging, magnetic resonance imaging (MRI) is evolving as a popular radiological tool in clinical diagnosis. Deep learning (DL) methods can detect abnormalities in brain images without an extensive manual feature …
View article: Retraction Note: E-Health Cloud Security Using Timing Enabled Proxy Re-Encryption
Retraction Note: E-Health Cloud Security Using Timing Enabled Proxy Re-Encryption Open
View article: An Energy-Efficient and Blockchain-Integrated Software Defined Network for the Industrial Internet of Things
An Energy-Efficient and Blockchain-Integrated Software Defined Network for the Industrial Internet of Things Open
The number of unsecured and portable Internet of Things (IoT) devices in the smart industry is growing exponentially. A diversity of centralized and distributed platforms have been implemented to defend against security attacks; however, t…
View article: Methods of Commercialization and Usage of Sosnovsky hogweed Processing
Methods of Commercialization and Usage of Sosnovsky hogweed Processing Open
Sosnovsky’s hogweed is an invasive species that suppresses natural meadow biocenoses, but at the same time it can be a source of various biological substances (raw materials). Hogweed can be processed to produce cellulose. The obvious adva…
View article: Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning
Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning Open
The internet makes it easier for people to connect to each other and has become a platform to express ideas and share information with the world. The growth of the internet has indirectly led to the development of social networking sites. …