Artificial Intelligence Implementation in Internet of Things Embedded System for Real-Time Person Presence in Bed Detection and Sleep Behaviour Monitor
This paper works on detecting a person in bed for sleep routine and sleep pattern
monitoring based on the Micro-Electro-Mechanical Systems (MEMS) accelerometer and …
monitoring based on the Micro-Electro-Mechanical Systems (MEMS) accelerometer and …
[HTML][HTML] ABDpred: Prediction of active antimicrobial compounds using supervised machine learning techniques
Methods: In this article, we employed eight different ML algorithms namely, extreme gradient
boosting, random forest, gradient boosting classifier, deep neural network, support vector …
boosting, random forest, gradient boosting classifier, deep neural network, support vector …
Feature Extraction Techniques for Classifying Chest X-Ray Abnormalities
S Dash, S Das, S Mishra - 2024 11th International Conference …, 2024 - ieeexplore.ieee.org
Chest X-Ray (CXR) is commonly utilized to detect abnormalities in the heart and lung
region. Accurately classifying and detecting these problems might significantly improve real …
region. Accurately classifying and detecting these problems might significantly improve real …
Differential diagnosis of erythemato-squamous diseases using a hybrid ensemble machine learning technique
D Swain, U Mehta, M Mehta, J Vekariya… - Intelligent Decision … - content.iospress.com
Erythemato-squamous Diseases (ESD) encompass a group of common skin conditions,
including psoriasis, seborrheic dermatitis, lichen planus, pityriasis rosea, chronic dermatitis …
including psoriasis, seborrheic dermatitis, lichen planus, pityriasis rosea, chronic dermatitis …