Deep learning ensemble 2D CNN approach towards the detection of lung cancer

AA Shah, HAM Malik, AH Muhammad, A Alourani… - Scientific Reports, 2023 - nature.com
In recent times, deep learning has emerged as a great resource to help research in medical
sciences. A lot of work has been done with the help of computer science to expose and …

Effective lung nodule detection using deep CNN with dual attention mechanisms

Z UrRehman, Y Qiang, L Wang, Y Shi, Q Yang… - Scientific Reports, 2024 - nature.com
Novel methods are required to enhance lung cancer detection, which has overtaken other
cancer-related causes of death as the major cause of cancer-related mortality. Radiologists …

Driver fatigue detection

MH Abdullah, KJ Raman, A Azman… - Information Science and …, 2016 - Springer
Driver fatigue detection is a term used to develop a nonintrusive system which can detect
fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the …

A CNN-based Deep Learning Framework for Driver's Drowsiness Detection.

A Sohail, AA Shah, S Ilyas… - International Journal of …, 2024 - search.ebscohost.com
Accidents are one of the major causes of injuries and deaths worldwide. According to the
WHO report, in 2022 an estimated 1.3 million people die from road accidents. Driver fatigue …

Safety-Enhanced Driver Condition Monitoring System for Preventing Road Accidents in Automobile

C Dineshkumar, PD Jeyakumar… - Advances in Design and …, 2021 - Springer
In present day, most of the automobile manufacturers depend on active safety systems to
prevent collisions because collisions and accidents increase day by day in automobiles …

[PDF][PDF] Real Time Implementation for Monitoring Drowsiness Condition of a Train Driver using Brain Wave Sensor

U Sinha, KK Mehta, AK Shrivastava - International Journal of …, 2016 - researchgate.net
Driver fatigue and lack of sleep of drivers especially those who drive for a longer period of
time as train accidents are a longer standing problem. It has been observed that each year …

[PDF][PDF] Year of Publication: 2015

D Neha, BM Vidyavathi - 2015 - academia.edu
Abstract Facial Expression Recognition is a vital topic for research in current scenario which
has many applications as machine based HR interviews and human-machine interaction …

[引用][C] A NOVEL DESIGN AND DEVELOPMENT OF DRIVERS DROWSINESS DETECTION SYSTEM USING BIOLOGICAL PARAMETERS

S Mani, S Alavandar, MS Pasupathy - Journal of Electrical Engineering, 2018