18 citations · 30 across the 6 of their papers we have counts for
6 papers
An Automated Multimodal Glaucoma Detection Framework Using ViT and a Stacking-Based Ensemble
Ishrat Jahan, Muhammad E. H Chowdhury, Murugappan Murugappan +7
Glaucoma is a progressive eye disease that can lead to irreversible vision loss if not detected at an early stage. Conventional diagnostic procedures are often time-consuming and r…
Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning -- A Pilot Study
Mikhail Borisenkov, Maksim Belyaev, Nithya Rekha Sivakumar +6
Wearable sensors and IoT/IoMT platforms enable continuous, real-time monitoring, but objective digital markers for eating disorders are limited. In this study, we examined whether…
Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment
Maksim Belyaev, Murugappan Murugappan, Andrei Velichko +1
The study presents the concept of a computationally efficient machine learning (ML) model for diagnosing and monitoring Parkinson's disease (PD) in an Internet of Things (IoT) envi…
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Andrei Velichko, Maksim Belyaev, Yuriy Izotov +2
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. Howev…
Heart Disease Detection using Quantum Computing and Partitioned Random Forest Methods
Hanif Heidari, Gerhard Hellstern, Murugappan Murugappan
Heart disease morbidity and mortality rates are increasing, which has a negative impact on public health and the global economy. Early detection of heart disease reduces the incide…
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
Ravikiran Parameshwara, Soujanya Narayana, Murugappan Murugappan +3
While Parkinson's disease (PD) is typically characterized by motor disorder, there is evidence of diminished emotion perception in PD patients. This study examines the utility of a…