Artificial intelligence in pregnancy: A sco** review
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …
health and medicine. Certain complications or disorders that can appear during pregnancy …
[PDF][PDF] Network Forensics: A Comprehensive Review of Tools and Techniques
With the evolution and popularity of computer networks, a tremendous amount of devices
are increasingly being added to the global internet connectivity. Additionally, more …
are increasingly being added to the global internet connectivity. Additionally, more …
Infant birth weight estimation and low birth weight classification in United Arab Emirates using machine learning algorithms
Accurate prediction of a newborn's birth weight (BW) is a crucial determinant to evaluate the
newborn's health and safety. Infants with low BW (LBW) are at a higher risk of serious short …
newborn's health and safety. Infants with low BW (LBW) are at a higher risk of serious short …
Identification of soil texture classes under vegetation cover based on Sentinel-2 data with SVM and SHAP techniques
Y Zhou, W Wu, H Wang, X Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Understanding the spatial variability of soil texture classes is essential for agricultural
management and environment sustainability. Sentinel-2 data offer valuable vegetation …
management and environment sustainability. Sentinel-2 data offer valuable vegetation …
An empirical evaluation of stacked ensembles with different meta-learners in imbalanced classification
The selection of a meta-learner determines the success of a stacked ensemble as the meta-
learner is responsible for the final predictions of the stacked ensemble. Unfortunately, in …
learner is responsible for the final predictions of the stacked ensemble. Unfortunately, in …
Identifying first-trimester risk factors for SGA-LGA using weighted inheritance voting ensemble learning
The classification of fetuses as Small for Gestational Age (SGA) and Large for Gestational
Age (LGA) is a critical aspect of neonatal health assessment. SGA and LGA, terms used to …
Age (LGA) is a critical aspect of neonatal health assessment. SGA and LGA, terms used to …
Breast mass detection and classification using deep convolutional neural networks for radiologist diagnosis assistance
Several developments in computational image processing methods assist the radiologist in
detecting abnormal breast tissue in recent years. Consequently, deep learning-based …
detecting abnormal breast tissue in recent years. Consequently, deep learning-based …
Building a predictive model of low birth weight in low-and middle-income countries: a prospective cohort study
JK Patterson, VR Thorsten, B Eggleston… - BMC Pregnancy and …, 2023 - Springer
Background Low birth weight (LBW,< 2500 g) infants are at significant risk for death and
disability. Improving outcomes for LBW infants requires access to advanced neonatal care …
disability. Improving outcomes for LBW infants requires access to advanced neonatal care …
Performance of cryptographic algorithms based on time complexity
Nowadays, a tremendous amount of data is produced every single day by computational
systems and electronic instruments, whether its an online transaction or data manipulation …
systems and electronic instruments, whether its an online transaction or data manipulation …
An innovative supervised longitudinal learning procedure of recurrent neural networks with temporal data augmentation: Insights from predicting fetal macrosomia and …
R Liu, Y Yao, C Zhang, B Zhang - Computers in Biology and Medicine, 2024 - Elsevier
Background Longitudinal data in health informatics studies often presented challenges due
to sparse observations from each subject, limiting the application of contemporary deep …
to sparse observations from each subject, limiting the application of contemporary deep …