A Novel Emotion Recognition Model based on Speech Processing

KK Veni, SIA Lathif, KS Kumar… - … on Advances in …, 2023 - ieeexplore.ieee.org
During the past two decades, recognizing emotions in people's voices (known as
recognition of speech emotions, or SER) has been a hot issue in the field of language …

ANND: Identification and Prediction of Tooth Decay based on Artificial Neural Network and DenseNet Model

AG Soundari, R Dhanalakshmi… - … on Intelligent and …, 2023 - ieeexplore.ieee.org
Scientists working in the field of Human health science and technology have recently shown
an extraordinary interest in healthcare. Caries is the breakdown of enamel, the protective …

Supervised Machine Learning Strategy for detection of covid19 patients

ISH Punithavathi, K Deepa, CPVS Rao… - 2023 International …, 2023 - ieeexplore.ieee.org
The current severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) public health
catastrophe, both human lives have been lost and the economy has disrupted severely the …

Lung Cancer Identification System to Improve the Accuracy Using Novel K Nearest Neighbour in Comparison with Logistic Regression Algorithm

YK Kumar, R Priyanka - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The K Nearest Neighbor (KNN) algorithm is going to be compared against the logistic
regression method in an effort to determine whether one has the potential to provide a lower …

Virtual Laboratories in Higher Education Enhancing Chemistry and Biology Learning Outcomes

T Richard, R Rajakumari - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This research looks at whether or not primary school pupils' critical thinking and decision-
making skills may benefit from the use of virtual labs. One hundred kids at a Chennai, India …

A Smart and Reliable Health Monitoring System for Covid-19 using Internet of Things

R Ramachandran, SU Suganthi, A Mani… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
Health surveillance devices based on the Internet of Things might be of tremendous use
during the current COVID-19 epidemic for patients who are afflicted with the virus. Internet of …

A Systematic Procedure to Identify Human Blood Groups by using Image Processing Assisted Learning Principle

A Titus, KM Devi, G Divya… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
In the occurrence of a life-threatening situation needing the transfer of blood, it is crucial to
first determine the patient's blood type. Currently, technicians execute these checks …

Experimental Evaluation of Cyber Security Enabled Fake News Detection Scheme over Social Media Using Learning Principle

R Deepa, L Sudha, T Vijayaraj… - 2023 Annual …, 2023 - ieeexplore.ieee.org
Users of the internet now rely almost exclusively on social networking sites to keep up with
the latest developments via news. More people are exposed to breaking news on these sites …

A Transparent Hybrid Deep Learning Framework to Assess German Measles Disease in Skin Images

V Yogalakshmi, JMM Jenitha… - … on Advances in …, 2023 - ieeexplore.ieee.org
One of the most common forms of illness in the world is a skin ailment. Although it's rather
common, it might be hard to diagnose due to factors including skin color, hair color, and the …

An Experimental Analysis Based on Automated Detection of Polycystic Ovary Syndrome on Ultrasound Image using Deep Learning Models

NRG Merlin, S Sangeetha… - 2023 First International …, 2023 - ieeexplore.ieee.org
Hormonal imbalances in women of reproductive age, such as PCOS, are a major contributor
to female infertility. Acne, menstrual irregularities, excess hair growth, and obesity are all …