Driver sleepiness detection using deep learning convolution neural network classifier

N Muthukumaran, NRG Prasath… - … on I-SMAC (IoT in Social …, 2019 - ieeexplore.ieee.org
The development of scheming information accomplished in the direction of the drivers
mainly in the smart vehicle organizations. The driver exhaustion is an important issue in a …

Intrusion detection system framework using machine learning

G Yedukondalu, GH Bindu, J Pavan… - … inventive research in …, 2021 - ieeexplore.ieee.org
Intrusion Detection System (IDS) is one of the most important security tool for many security
issues that are prevailing in today's cyber world. Intrusion Detection System is designed to …

An efficient communication scheme for Wi-Li-Fi network framework

SA Selvi, RS Rajesh, MAT Ajisha - … on I-SMAC (IoT in Social …, 2019 - ieeexplore.ieee.org
One of the key requirements for inter active application is seamless connectivity. Existing
wireless infrastructures is inadequate to support seamless connectivity. Recently Li-Fi …

[PDF][PDF] Deep Learning Neural Network Based Human Emotion Classification with ANFIS Algorithm

N Muthukumaran, R Aiswarya, SA Sankari… - … Journal of Science & …, 2020 - iijsr.com
Feeling detection has invariably been a difficult tasks in our day these days life.
distinguishing feeling of an individual are going to be helpful in several areas like in medical …

Deep Learning Framework for Face Mask Detection

JRV Jeny, B Shraddha, B Ashritha… - … on Trends in …, 2021 - ieeexplore.ieee.org
COVID-19, a pandemic disease spread caused by the corona virus, has taken a toll on our
lives. Wearing face masks, sanitizing, and maintaining social distance has been the new …

AI based facial expression recognition for autism children

M Afrin, S Freeda, S Elakia… - AI Based Facial Expression …, 2019 - papers.ssrn.com
In Automatic facial expression recognition is a challenging problem in computer vision, and
has gained significant importance in the applications of human-computer interactions. The …

Brain tumor detection using ANN classifier

E Rani, A Grace Priya… - Brain Tumor Detection …, 2019 - papers.ssrn.com
Segmentation of organizational segments of the brain is the essential problem in medical
image investigation. This paper reviews several existing brain tumor segmentation and …

An efficient fatigue detection system by inspecting facial behavioral aspects

R Akshara, J Karthik, ESC Reddy… - 2021 Third International …, 2021 - ieeexplore.ieee.org
Fatigue plays a crucial role in leading major injuries and deaths. Therefore, it is a powerful
diagnostic site for detecting driver fatigue and its reference. The traditional strategies area …

A real time clinical decision system for risk prediction and severity in critical ill patients using machine learning

AV Gopal, M Sailatha, S Vikas… - 2021 Third International …, 2021 - ieeexplore.ieee.org
This paper predicts the diseases of the patients by considering their symptoms who are
admitted in the critical care units. This system operates at the bed side of the patients and …

Traffic Control Loss and to Handle Seamless Mobility in a Heterogeneous Network with Lesser Transmission Delay

G Manikandan, G Bhuvaneswari… - … on Trends in …, 2021 - ieeexplore.ieee.org
Consistent versatility the board is a capacity to offer the different types of assistance during
the correspondence in remote heterogeneous organizations. Because of the irregular …