Monali Gulhane
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View article: ViTCon: a hybrid CNN-ViT model for improved plant leaf disease detection
ViTCon: a hybrid CNN-ViT model for improved plant leaf disease detection Open
Sustainable agriculture relies on timely and efficient detection of leaf diseases to prevent the risk of crop contamination and the dependency on chemical treatments. The Convolutional Neural Network (CNN) has made a significant contributi…
View article: A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel‐Based and Neural Approaches
A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel‐Based and Neural Approaches Open
Cardiovascular diseases (CVDs) are still the leading cause of death in the worldwide. Traditional machine learning models often have difficulty in determine how to capture the complex links between disease risk factors and disease occurren…
View article: Advancing blood cell detection and classification: performance evaluation of modern deep learning models
Advancing blood cell detection and classification: performance evaluation of modern deep learning models Open
The detection and classification of blood cells are important in diagnosing and monitoring a variety of blood-related illnesses, such as anemia, leukemia, and infection, all of which may cause significant mortality. Accurate blood cell ide…
View article: Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging
Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging Open
Introduction Combining many types of imaging data—especially structural MRI (sMRI) and functional MRI (fMRI)—may greatly assist in the diagnosis and treatment of brain disorders like Alzheimer’s. Current approaches are less helpful for for…
View article: Error probability analysis under H-noise scenarios in diffusive molecular communication
Error probability analysis under H-noise scenarios in diffusive molecular communication Open
Diffusive Molecular Communication (DMC) represents a critical paradigm in nanoscale communication, yet various noise models significantly influence its performance. This paper presents an analytical framework for evaluating error probabili…
View article: Enhancing ECG-Based Cardiac Anomaly Detection Using Deep Learning for Improved Diagnostic Efficiency and Clinical Precision
Enhancing ECG-Based Cardiac Anomaly Detection Using Deep Learning for Improved Diagnostic Efficiency and Clinical Precision Open
Cardiovascular problems cause a lot of illness and death around the world. To improve early diagnosis and treatment accuracy, testing methods need to be improved. Focus of this work is on using deep learning methods to make electrocardiogr…
View article: Machine Learning-Based Approach for ECG Analysis and Cardiac Anomaly Detection to Enhance Early Diagnosis and Treatment
Machine Learning-Based Approach for ECG Analysis and Cardiac Anomaly Detection to Enhance Early Diagnosis and Treatment Open
Cardiovascular diseases are still the most common cause of death in the world, so early detection methods need to get better. This study paper describes a complete machine learning-based method for analysing Electrocardiograms (ECGs) with …
View article: Oriental Stock Prediction Approach(OSPA): A Model for Stock Price Prediction Utilizing the Capacity of Time Series Analysis
Oriental Stock Prediction Approach(OSPA): A Model for Stock Price Prediction Utilizing the Capacity of Time Series Analysis Open
This paper delves into the intricate world of financial markets, where accurate prediction of stock prices plays a pivotal role in guiding investment strategies and financial decision-making. In an era dominated by vast amounts of data, th…
View article: Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture
Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture Open
In today's digital world, with growing population and increasing pollution, unhealthy lifestyle habits like irregular eating, junk food consumption, and lack of exercise are becoming more common, leading to various health problems, includi…
View article: Online Signature Classification Based on Dynamic Nature of Features Selection Framework
Online Signature Classification Based on Dynamic Nature of Features Selection Framework Open
In the recent digital age, online signature verification plays a crucial role in authentication, including security standards across many industries, such as financial, legal, and e-commerce.Bank'srld Bank's data shows the global digital e…
View article: Optimized Approach for Heart Disease Prediction by using Enhancing Diagnostic Method through Meta-Features
Optimized Approach for Heart Disease Prediction by using Enhancing Diagnostic Method through Meta-Features Open
In today's world, pollution is worsening, and bad habits like not eating regularly, eating lots of junk food, and not exercising enough are becoming more common. This can cause health problems, and the global need for the detection of hear…
View article: Revolutionizing Pneumonia Diagnosis and Prediction Through Deep Neural Networks
Revolutionizing Pneumonia Diagnosis and Prediction Through Deep Neural Networks Open
Pneumonia is a common and potentially fatal respiratory illness that can be difficult to diagnose accurately. In the digital era, the deep learning-based module has shown great promise in predicting diseases from medical images. In this wo…
View article: Human Behavior Prediction and Analysis Using Machine Learning-A Review
Human Behavior Prediction and Analysis Using Machine Learning-A Review Open
Nowadays many trends are being in the area of medicine to predict the human behaviour and analysis of patient behaviour is being studied but the technical difficulty of cost efficient method to predict the behaviour of user is overcome in …