Automatic Evaluations of Human Blood Using Deep Learning Concepts

GE Rani, H Mohan, B Kusuma… - … and Control (ISPCC), 2021 - ieeexplore.ieee.org
Identification of human blood is very important to know before any blood transfusion. In
emergency situations, if the blood group is not identified exactly, it causes many problems to …

Detection and Recognition of Face Using Deep Learning

M Sakthimohan, E Rani… - … , IoT and Security …, 2023 - ieeexplore.ieee.org
Face detection applications using digital photos are critical in the face recognition process.
This application is used in biometric recognition systems, search systems, and security …

Development of an Automated Tool for Driver Drowsiness Detection

GE Rani, M Sakthimohan… - … and Control Systems …, 2023 - ieeexplore.ieee.org
It is important to identify ocular sleepiness as soon as possible to prevent accidents. More
than 1.3 million people lose their lives in traffic-related incidents every year. In such …

Amazon Employee Access System using Machine Learning Algorithms

GE Rani, M Sakthimohan… - … , IoT and Security …, 2023 - ieeexplore.ieee.org
Employees that desire to work for Amazon will find Amazon employee access to be quite
useful. Any individual on this duty who begins evolved work at a firm should obtain the …

Real Time Object Detection Using Deep Learning

M Sornalakshmi, M Sakthimohan… - … on Vision Towards …, 2023 - ieeexplore.ieee.org
Real-time object detection using deep learning has emerged as a burgeoning field of study
due to its potential for a wide range of applications, including autonomous driving, robotics …

A deep learning-based approach for segmentation and identification of δ phase for Inconel 718 alloy with different compression deformation

N Wang, H Guan, J Wang, J Zhou, W Gao… - Materials Today …, 2022 - Elsevier
Accurate control of δ phase content, distribution, and morphology is crucial for guiding the
processing schemes to form an alloy with desirable properties. Traditional methods for …

Detection and Identification of Pills using Machine Learning Models

S Akshaya, AC Uthaman… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Pill color, pill size and shape are few important characteristics for automatic pill detection.
However, the environmental factors may cause an effect such that a change is produced in …

Comparative Analysis of Image on Several Edge Detection Techniques

AB Prasetyo, R Wahyudi, I Tahyudin, SF Kusuma… - TEM Journal, 2023 - ceeol.com
Edge detection of an image is needed to obtain information related to the size and shape of
an image. There are numerous methods for detecting edges, including the Prewitt, Laplace …

Digit recognition of MNIST handwritten using convolutional neural networks (CNN)

PV Siddhartha - 2023 International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
One of the very significant problems in pattern recognition applications is the recognition of
handwritten characters. The applications of digit acknowledgement include postal mail …

Quantification of surface erosion in polymeric insulating material under electrical stress using FTIR, SEM and edge detection

C Patel, RR Patel - International Journal of Materials …, 2022 - inderscienceonline.com
Silicon rubber (polymeric) insulators are extensively preferred in overhead power
transmission networks due to their superior performance over the conventional insulators …