Deep learning based drowsiness detection and monitoring using behavioural approach
P William, M Shamim, AR Yeruva… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Using deep learning and a behavioural approach, this study presents a real-time detection
and monitoring system for tired drivers. The objective is to develop and build software that …
and monitoring system for tired drivers. The objective is to develop and build software that …
A Proficient and secure way of Transmission using Cryptography and Steganography
People are concerned about the security of their data over the internet. The data can be
protected in many ways to keep unauthorized individuals from accessing it. To secure data …
protected in many ways to keep unauthorized individuals from accessing it. To secure data …
Customer-Churn Prediction Using Machine Learning
The gradual but consistent decrease in the number of customers retained over time is
referred to as “customer churn,” and it is a word that is frequently used in the business and …
referred to as “customer churn,” and it is a word that is frequently used in the business and …
Visualization and Prediction of Rainfall Using Deep Learning and Machine Learning Techniques
T Aruna, P Naresh, A Rajeshwari… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The sheer quantity of big information has created tremendous prospects for forecasts and
study. Infographic is a normal sight in everyday life. Several trend lines explain the …
study. Infographic is a normal sight in everyday life. Several trend lines explain the …
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 …
made significant strides in recent years. Using voice commands to engage with machines or …
Systematic Cognitive Computing Framework Application Using Medical Information Processing
RK Kanna, A Ambikapathy… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
In recent years, the convergence of cognitive computing and natural language processing
(NLP) has emerged as a critical field of study, promising significant breakthroughs in …
(NLP) has emerged as a critical field of study, promising significant breakthroughs in …
Convolutional Neural Network Application for Detection & Classification of Brain Tumour
Brain tumours may be either benign or malignant. The highest grade of brain tumours is
associated with a very poor survival rate. So, plan your treatments ahead of time. Improve …
associated with a very poor survival rate. So, plan your treatments ahead of time. Improve …
Machine Learning Based Cardiovascular Detection Approach
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 …
enzymes. Recently., artificial intelligence has become fundamental for the survival of the …
Data Plane Layer Modification of SDN Architecture with The Help of Blockchain
Network architectures are improving, as are the environments they serve. Recently, there
has been a lot of research interest in Software-Defined Networking. The reason of its …
has been a lot of research interest in Software-Defined Networking. The reason of its …
Examining Effectiveness of Cloudlets in Mobile Computing
The use of mobile devices and the applications that can be downloaded onto them are
becoming more commonplace in everyday life. Mobile apps need a large number of …
becoming more commonplace in everyday life. Mobile apps need a large number of …