V. Muthukumaran
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View article: An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data
An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data Open
Early diagnosis of cancer has focused on the use of advanced algorithms to achieve accurate diagnosis. The proposed study assesses the effectiveness of Transformer-based models and Convolutional Neural Networks (CNN) in cancer diagnosis wi…
View article: Existence of Hilfer fractional neutral stochastic differential systems with infinite delay
Existence of Hilfer fractional neutral stochastic differential systems with infinite delay Open
The goal of this study is to propose the existence of mild solutions to delay fractional neutral stochastic differential systems with almost sectorial operators involving the Hilfer fractional (HF) derivative in Hilbert space, which genera…
View article: A Study on Approximate Controllability of Ψ-Caputo Fractional Differential Equations with Impulsive Effects
A Study on Approximate Controllability of Ψ-Caputo Fractional Differential Equations with Impulsive Effects Open
In this article, we studied the approximate controllability of Ψ-Caputo fractional differential systems. We prove the sufficient conditions for an abstract Cauchy problem invloving infinite delay, impulsive and nonlocal conditions. The res…
View article: Study on the controllability of Hilfer fractional differential system with and without impulsive conditions via infinite delay
Study on the controllability of Hilfer fractional differential system with and without impulsive conditions via infinite delay Open
In this manuscript, we investigate the controllability of two different kinds of Hilfer fractional differential equations with an almost sectorial operator and infinite delay. First, we demonstrate the exact controllability of the Hilfer f…
View article: Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach
Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach Open
The necessity for smart energy oversight solutions has arisen in response to the rising popularity of energy-efficient home automation and other energy-saving technologies. Optimizing smart home energy use using multi-criteria decision-mak…
View article: Approximate Controllability Outcomes of Impulsive Second-Order Stochastic Neutral Differential Evolution Systems
Approximate Controllability Outcomes of Impulsive Second-Order Stochastic Neutral Differential Evolution Systems Open
In this manuscript, we present a collection of suitable requirements for the approximate controllability outcomes of impulsive second-order stochastic neutral differential evolution systems. We use the ideas from the sine and cosine functi…
View article: Multimodal hybrid convolutional neural network based brain tumor grade classification
Multimodal hybrid convolutional neural network based brain tumor grade classification Open
An abnormal growth or fatty mass of cells in the brain is called a tumor. They can be either healthy (normal) or become cancerous, depending on the structure of their cells. This can result in increased pressure within the cranium, potenti…
View article: TVFx – CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique
TVFx – CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique Open
COVID-19, the global pandemic of twenty-first century, has caused major challenges and setbacks for researchers and medical infrastructure worldwide. The CoVID-19 influences on the patients respiratory system cause flooding of airways in t…
View article: Prediction and classification of skin melanoma cancer using active hybrid machine learning technique
Prediction and classification of skin melanoma cancer using active hybrid machine learning technique Open
Melanoma is a dangerous skin cancer that may spread if not detected early. Thus, the medical industry has evolved with automated diagnostic tools that may assist physicians and even regular people diagnose an illness. Here, we provide a co…
View article: Hilfer fractional neutral stochastic integro‐differential evolution hemivariational inequalities and optimal controls
Hilfer fractional neutral stochastic integro‐differential evolution hemivariational inequalities and optimal controls Open
The focus of this study is a control system with a nonlocal state that is driven by a neutral stochastic integro‐differential evolution hemivariational inequality known as Hilfer fractional (HF). In order to demonstrate effective requireme…
View article: Existence of Sobolev-Type Hilfer Fractional Neutral Stochastic Evolution Hemivariational Inequalities and Optimal Controls
Existence of Sobolev-Type Hilfer Fractional Neutral Stochastic Evolution Hemivariational Inequalities and Optimal Controls Open
This article concentrates on a control system with a nonlocal condition that is driven by neutral stochastic evolution hemivariational inequalities (HVIs) of Sobolev-type Hilfer fractional (HF). In order to illustrate the necessary require…
View article: Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique
Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique Open
To improve the accuracy of tumor identification, it is necessary to develop a reliable automated diagnostic method. In order to precisely categorize brain tumors, researchers developed a variety of segmentation algorithms. Segmentation of …
View article: A new conversation on the existence of Hilfer fractional stochastic Volterra–Fredholm integro-differential inclusions via almost sectorial operators
A new conversation on the existence of Hilfer fractional stochastic Volterra–Fredholm integro-differential inclusions via almost sectorial operators Open
The existence of Hilfer fractional stochastic Volterra–Fredholm integro-differential inclusions via almost sectorial operators is the topic of our paper. The researchers used fractional calculus, stochastic analysis theory, and Bohnenblust…
View article: Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique
Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique Open
Rapid improvements in ultrasound imaging technology have made it much more useful for screening and diagnosing breast problems. Local-speckle-noise destruction in ultrasound breast images may impair image quality and impact observation and…
View article: A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal
A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal Open
Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness behind the wheel. Using EEG technology for driving fatigue detection still presents challenges in extracting informative elements from noisy EEG sign…
View article: An Efficient Ensemble Method Using K-Fold Cross Validation for the Early Detection of Benign and Malignant Breast Cancer
An Efficient Ensemble Method Using K-Fold Cross Validation for the Early Detection of Benign and Malignant Breast Cancer Open
In comparison to all other malignancies, breast cancer is the most commonform of cancer, among women. Breast cancer prediction has been studied by a number of researchers, and is considered as a serious threat to women. Clinicians are find…
View article: Map-Reduce based Distance Weighted k-Nearest Neighbor Machine Learning Algorithm for Big Data Applications
Map-Reduce based Distance Weighted k-Nearest Neighbor Machine Learning Algorithm for Big Data Applications Open
With the evolution of Internet standards and advancements in various Internet and mobile technologies, especially since web 4.0, more and more web and mobile applications emerge such as e-commerce, social networks, online gaming applicatio…
View article: Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer
Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer Open
Breast cancer (BC) disease is the most common and rapidly spreading disease across the globe. This disease can be prevented if identified early, and this eventually reduces the death rate. Machine learning (ML) is the most frequently utili…
View article: Multiconvolutional Transfer Learning for 3D Brain Tumor Magnetic Resonance Images
Multiconvolutional Transfer Learning for 3D Brain Tumor Magnetic Resonance Images Open
The difficulty or cost of obtaining data or labels in applications like medical imaging has progressed less quickly. If deep learning techniques can be implemented reliably, automated workflows and more sophisticated analysis may be possib…
View article: Water Quality Index Process Using Artificial Neural Networks
Water Quality Index Process Using Artificial Neural Networks Open
This Study intends to explore the association among the water quality record (WQI) for water framework drives four free environment factors. Our logical examination was driven on the Euphrates River inside Karbala city, Iraq over the perio…
View article: Water Quality Index Process Using Artificial Neural Networks
Water Quality Index Process Using Artificial Neural Networks Open
ABSTRACT This Study intends to explore the association among the water quality record (WQI) for water framework drives four free environment factors. Our logical examination was driven on the Euphrates River inside Karbala city, Iraq over …
View article: XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4
XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4 Open
Massive reliance on practical systems has resulted in several security concerns. The ability to identify anomalies is a critical safety feature enabled by anomaly diagnostic techniques. The construction of a data system faces a significant…
View article: Data Analytics on Eco-Conditional Factors Affecting Speech Recognition Rate of Modern Interaction Systems
Data Analytics on Eco-Conditional Factors Affecting Speech Recognition Rate of Modern Interaction Systems Open
Speech-based Interaction systems contribute to the growing class of contemporary interactive techniques (Human-Computer Interactive system), which have emerged quickly in the last few years. Versatility, multi-channel synchronization, sens…
View article: Efficient key exchange protocol for industrial internet of things
Efficient key exchange protocol for industrial internet of things Open
The Industrial Internet of Things (IIoT) visualizes associating every single physical article or thing to the Internet, utilizing gadgets as assorted as cell phones, espresso creators, clothes washers, cars, lights, and wearable gadgets am…
View article: Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network
Paddy Plant Disease Recognition, Risk Analysis, and Classification Using Deep Convolution Neuro-Fuzzy Network Open
A significant number of the world’s population is dependent on rice for survival. In addition to sugarcane and corn, rice is said to be the third most growing staple food in the world. As a consequence of intensive usage of man-made fertil…
View article: Applying data mining technique to predict trends in air pollution in Mumbai
Applying data mining technique to predict trends in air pollution in Mumbai Open
Prediction of air quality is a topic of great interest in air quality research due to direct association with health effect. The prediction provides pre-information to the overall population of the area about the status of pollution on whi…
View article: Diabetes disease prediction using decision tree for feature selection
Diabetes disease prediction using decision tree for feature selection Open
In this paper more than one approaches are evaluated to optimise machine learning models for diabetes disease diagnosis. The main goal is to sort the medical data computation and choose the most suitable parameters to construct a faster an…
View article: Secure efficient signature for internet of things over near-ring
Secure efficient signature for internet of things over near-ring Open
Prediction of air quality is a topic of great interest in air quality research due to direct With rapid progression in remote innovation and inescapable computerized innovation have given in expanding prevalence and enthusiasm of Internet …
View article: Movie recommendation system using clustering mining with Python
Movie recommendation system using clustering mining with Python Open
The research we are pursuing here is about building a system which we will use and mine a movie review database using concepts of statistics like Euclidean Distance algorithm. This will help us determine similar review according to the rat…