Drowsiness image detection using computer vision
U Bhatia, Tshering, J Kumar, DK Choubey - Soft Computing: Theories and …, 2022 - Springer
Drowsiness of the driver is the significant cause of the road accidents. The need of the hour
is to come up with some measures to control it, and our prototype helps us to achieve that …
is to come up with some measures to control it, and our prototype helps us to achieve that …
Genetic algorithm and Naïve Bayes-based (GANB) diabetes mellitus prediction system
DK Yadav, C Azad, K Bala, PK Sharma… - … , Machine Learning and …, 2022 - Springer
Today, machine learning plays a significant role in the classification of healthcare
conditions. Machine learning is the process of finding, discovering, and modeling massive …
conditions. Machine learning is the process of finding, discovering, and modeling massive …
Discovery of type 2 diabetes mellitus with correlation and optimization driven hybrid deep learning approach
K Middha, A Mittal - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Diabetes mellitus is a severe condition that has the potential to impair strength. The disease
known as diabetes mellitus, which is a chronic condition, is brought on by a significant rise in …
known as diabetes mellitus, which is a chronic condition, is brought on by a significant rise in …
Improved prediction analysis with hybrid models for thunderstorm classification over the ranchi region
Thunderstorms are natural disasters that impact people, animals, and the economy.
Thunderstorms' detrimental repercussions can be avoided by identifying their occurrence in …
Thunderstorms' detrimental repercussions can be avoided by identifying their occurrence in …
IoT driven precision cultivation for diverse Indian climate conditions
India is an agricultural country. A significant percentage of GDP (approx. eighteen percent)
is contributed by agriculture sector. Due to uneven soil conditions and unpredictable …
is contributed by agriculture sector. Due to uneven soil conditions and unpredictable …
A Kernel k-means-based method and attribute selections for diabetes diagnosis
Diabetes diagnosis is important due to the high death rate and complication consequences
caused by the disease. First, we propose a kernel k-means-based prediction method and …
caused by the disease. First, we propose a kernel k-means-based prediction method and …
A Study and Comparative Analysis on Different Techniques Used for Predicting Type 2 Diabetes Mellitus
M Karuna, A Shilpy - Applications of Artificial Intelligence and Machine …, 2022 - Springer
Abstract Type 2 Diabetes Mellitus is one of the rising and immensely lethal disease all over
the world. It is a metabolism driven disease in which an individual may have a severe …
the world. It is a metabolism driven disease in which an individual may have a severe …
PSO-ANN-based computer-aided diagnosis and classification of diabetes
Feature selection (FS) is indeed a tough, challenging and demanding task due to the large
exploration space. It moderates and lessens the number of features. It also eliminates …
exploration space. It moderates and lessens the number of features. It also eliminates …
Soft computing, data mining, and machine learning approaches in detection of heart disease: A review
K Srivastava, DK Choubey - … on Hybrid Intelligent Systems (HIS 2019) held …, 2021 - Springer
Heart disease detection is the need of the hour as it not only deteriorated adults but children
are also showing symptoms of it all over the world. It can occur to a person having an …
are also showing symptoms of it all over the world. It can occur to a person having an …
Early prediction of diabetes using deep learning convolution neural network and harris hawks optimization
R Murugadoss - International Journal of Integrated …, 2021 - penerbit.uthm.edu.my
Owing to the gravity of the diabetic disease the minimal level symptoms for diabetic failure in
the early stage must be forecasted. The prediction system instantaneous and prior must thus …
the early stage must be forecasted. The prediction system instantaneous and prior must thus …