Cognitive Disability Prediction & Analysis using Machine Learning Application

RK Kanna, VS Ramya, AA Khafel… - 2023 3rd …, 2023 - ieeexplore.ieee.org
A person with mild cognitive disability (MCD), a kind of memory loss that affects both
memory and thinking skills, may be at an increased risk of acquiring dementia brought on by …

Study on diabetic conditions monitoring using deep learning application

RK Kanna, R Chandrasekaran… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The application of technology search in full industrial management has been shown to be
advanced to some extent by deep learning models. The replacement of activities that need …

Smart Detection and Removal of Artifacts in Cognitive Signals Using Biomedical Signal Intelligence Applications

RK Kanna, KY Devi, R Gomalavalli… - Quantum Innovations at …, 2024 - igi-global.com
A complete and detailed literature evaluation concentrating on the detection and elimination
of artifacts from EEG data was described in the preceding chapter. Issue-wise solution …

Detection of Emotion Employing Deep Learning Modelling Approach

K Kanna, A Ambikapathy… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The fields of artificial intelligence, machine learning, human-machine interaction, etc., have
made significant strides in recent years. Using voice commands to engage with machines or …

Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application: Cognitive Signal Conditioning

RK Kanna, G Jyothi, A Ambikapathy… - Intelligent Solutions for …, 2024 - igi-global.com
A complete and rigorous literature evaluation focused on the detection and elimination of
artifacts from EEG signals was presented in the preceding chapter. Issue-wise solution …

Machine Learning Based Cardiovascular Detection Approach

RK Kanna, A Ambikapathy, M Brayyich… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Heart failure is one of the most serious and important diseases to predict between the
enzymes. Recently., artificial intelligence has become fundamental for the survival of the …

Heart Disease Prediction with Hyperparameter Analysis

A Bansal, MK Nallakaruppan, FA Mon… - 2023 International …, 2023 - ieeexplore.ieee.org
I propose to develop an application which would be able to predict whether someone would
be suffering from a coronary heart disease in the coming years. I propose to develop a …

Machine Learning Based Stroke Predictor Application

RK Kanna, CVR Reddy, BS Panigrahi… - … on Internet of Things, 2024 - publications.eai.eu
When blood flow to the brain stops or slows down, brain cells die because they don't get
enough oxygen and nutrients. This condition is known as an ischemic stroke. It is now the …

Cognitive Learning & Data Mining Optimization Strategies in Sustainable Training for Restaurant Food and Beverage Service Excellence

K Chande, R Kanekar, BK Ekka… - … , Security and Artificial …, 2023 - ieeexplore.ieee.org
The present study looks into the effect of cognitive training techniques on happiness with
learning in the environment of culinary and beverage (F&B) service training programmes, an …

Radiological Imaging Techniques Using Dwt Methodology

RK Kanna, P Kumar, A Ambikapathy… - … on Advances in …, 2023 - ieeexplore.ieee.org
When medical pictures are compressed, valuable information is extracted from the data they
contain that is crucial for clinicians to understand clinically. The purpose of the notion of …