[PDF][PDF] Classification of a new-born infant's jaundice symptoms using a binary spring search algorithm with machine learning
HVSL Inamanamelluri, VR Pulipati… - Revue d'Intelligence …, 2023 - researchgate.net
A yellowing of the skin and eyes, called jaundice, is the consequence of an abnormally high
bilirubin concentration in the blood. All across the world, both newborns and adults are …
bilirubin concentration in the blood. All across the world, both newborns and adults are …
Classification predictive maintenance using XGboost with genetic algorithm
K Salim, RSA Hebri, S Besma - Revue d'Intelligence Artificielle, 2022 - search.proquest.com
This study develops a condition classification system of compressor 103J and water pump
systems which are key equipment in the ammonia production line, hence the monitoring of …
systems which are key equipment in the ammonia production line, hence the monitoring of …
[PDF][PDF] Non invasive decay analysis of monument using deep learning techniques
R Perumal, SB Venkatachalam - Traitement du Signal, 2023 - researchgate.net
Accepted: 10 March 2023 Monuments are a vital part of the heritage of any culture that
witnesses the history of our time. These monuments are inherited from previous generations …
witnesses the history of our time. These monuments are inherited from previous generations …
Education Changes Child Health Behavior in China: A Mediating Role of Information Technology
Y Zhu, L Gu, J Li - American Journal of Health Behavior, 2023 - ingentaconnect.com
Objectives: In this study, we aimed to explore the impact of education in changing child
health behavior in China and mediating role of information technology. Methods: The …
health behavior in China and mediating role of information technology. Methods: The …
[PDF][PDF] Intelligent diagnosis of obstetric diseases using HGS-AOA based extreme learning machine
R Vatambeti, VK Damera - Acadlore Transactions on AI and …, 2023 - library.acadlore.com
This paper aimed to realize intelligent diagnosis of obstetric diseases using electronic
medical records (EMRs). The Optimized Kernel Extreme Machine Learning (OKEML) …
medical records (EMRs). The Optimized Kernel Extreme Machine Learning (OKEML) …
An Optimized Hybrid Model of Convolutional Neural Networks and eXtreme Gradient Boosting for Enhanced Mammographic Tumor Classification.
B Senaï, SAH Rahal, S Khiat - Ingénierie des Systèmes d' …, 2023 - search.ebscohost.com
The classification of mammographic tumors from medical imagery, a critical step in
pathology detection and diagnosis, is addressed in this study. A novel supervised hybrid …
pathology detection and diagnosis, is addressed in this study. A novel supervised hybrid …
Automatic Modulation Classification Using a Support Vector Machine-Based Pattern Recognition Algorithm.
VKR PG - Ingénierie des Systèmes d'Information, 2022 - search.ebscohost.com
Modulation format recognition is an essential part of intelligent receivers of wireless
communication systems, especially for adaptive radio systems (ARS). This paper presents a …
communication systems, especially for adaptive radio systems (ARS). This paper presents a …