AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions
The rapid advancement of deep neural networks (DNNs) has significantly transformed
various sectors, demonstrating unparalleled proficiency in managing intricate tasks in …
various sectors, demonstrating unparalleled proficiency in managing intricate tasks in …
[HTML][HTML] La aplicación de la neutrosofía en las ciencias médicas: una revisión bibliográfica narrativa
El presente estudio tiene como objetivo principal examinar la aplicación de la neutrosofía
en el campo de las ciencias médicas, a través de una revisión bibliográfica narrativa. Se ha …
en el campo de las ciencias médicas, a través de una revisión bibliográfica narrativa. Se ha …
Integration between Bioinformatics Algorithms and Neutrosophic Theory
This paper presents a neutrosophic inference model for bioinformatics. The model is used to
develop a system for accurate comparisons of human nucleic acids, where the new nucleic …
develop a system for accurate comparisons of human nucleic acids, where the new nucleic …
Threats on machine learning technique by data poisoning attack: A survey
With the huge services provided by machine learning systems in our daily life, the attacks on
these services are increasing every day. The attackers are trying to distort the functionality of …
these services are increasing every day. The attackers are trying to distort the functionality of …
Neutrosophic Encoding and Decoding Algorithm for ASCII Code System
AA Salama¹, Z Tarek, EY Darwish… - … Sets and Systems …, 2024 - books.google.com
Context and Background: This paper addresses the challenge of encoding and decoding
numerical data by introducing innovative algorithms utilizing Neutrosophic ASCII codes and …
numerical data by introducing innovative algorithms utilizing Neutrosophic ASCII codes and …
Early diagnosis and classification of fetal health status from a fetal cardiotocography dataset using ensemble learning
(1) Background: According to the World Health Organization (WHO), 6.3 million intrauterine
fetal deaths occur every year. The most common method of diagnosing perinatal death and …
fetal deaths occur every year. The most common method of diagnosing perinatal death and …
A novel approach toward skin cancer classification through fused deep features and neutrosophic environment
Variations in the size and texture of melanoma make the classification procedure more
complex in a computer-aided diagnostic (CAD) system. The research proposes an …
complex in a computer-aided diagnostic (CAD) system. The research proposes an …
[图书][B] Introduction to neutrosophic reliability theory
KF Alhasan, AA Salama, F Smarandache - 2021 - books.google.com
Reliability is one of the most important indicators of the quality of any system or product,
ranging from the simplest machines as a product in any factory to the most complex system …
ranging from the simplest machines as a product in any factory to the most complex system …
Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data
Cardiotocography (CTG) captured the fetal heart rate and the timing of uterine contractions.
Throughout pregnancy, CTG intelligent categorization is crucial for monitoring fetal health …
Throughout pregnancy, CTG intelligent categorization is crucial for monitoring fetal health …
[图书][B] Enhanced neutrosophic set and machine learning approach for breast cancer prediction
Breast cancer is the most prevalent type of cancer that affects women worldwide and poses
a serious risk to female mortality. In order to lower death rates and enhance treatment …
a serious risk to female mortality. In order to lower death rates and enhance treatment …