A comprehensive survey on breast cancer thermography classification using deep neural network

AH Abed, EM Shaaban, OP Jena… - Machine Learning and …, 2022 - taylorfrancis.com
Building up a breast cancer identification platform is vital to encourage breast cancer
detection and treatment at the very early stage. Proposing a screening system utilizing …

[图书][B] Artificial Intelligence and machine learning in drug design and development

A Khanna, M El Barachi, S Jain, M Kumar, A Nayyar - 2024 - books.google.com
The book is a comprehensive guide that explores the use of artificial intelligence and
machine learning in drug discovery and development covering a range of topics, including …

An analysis of ensemble pruning methods under the explanation of Random Forest

FA Khalifa, HM Abdelkader, AH Elsaid - Information Systems, 2024 - Elsevier
Abstract “Black box” models created by modern machine learning techniques are typically
hard to interpret. Thus, the necessity of explainable artificial intelligence (XAI) has grown for …

Hybrid marine predator algorithm with simulated annealing for feature selection

UM Khaire, R Dhanalakshmi… - Machine Learning and …, 2022 - taylorfrancis.com
The Marine Predator Algorithm (MPA) is a recently proposed meta-heuristic algorithm based
on the survival of the fittest theory. Despite being an outstanding optimization technique, the …

Usage of ML Techniques for ASD Detection: A Comparative Analysis of Various Classifiers

AS Mohanty, P Parida, KC Patra - Machine Learning and Deep …, 2022 - taylorfrancis.com
Autism spectrum disorder (ASD) is one of the severe neurodevelopmental illnesses across
the world which influences the communication skill and behavior of a person. Early detection …

[图书][B] Medical Data Analysis and Processing Using Explainable Artificial Intelligence

OP Jena, M Panda, U Kose - 2023 - books.google.com
The text presents concepts of explainable artificial intelligence (XAI) in solving real world
biomedical and healthcare problems. It will serve as an ideal reference text for graduate …

Deep Learning Tactics for Neuroimaging Genomics Investigations in Alzheimer's Disease

MS Rajput, J Shah, V Patel, NS Rajput… - … and Machine Learning …, 2024 - Wiley Online Library
Alzheimer's disease (AD) is a neurodegenerative condition that is hallmarked by senile
dementia, worsens over time, and has no proven treatment. It causes a decline in cognitive …

Deep Learning Frameworks for Prediction, Classification and Diagnosis of Alzheimer's Disease

NS Rajput, MS Rajput, PD Sarkar - Machine Learning and Deep …, 2022 - taylorfrancis.com
Alzheimer's disease (AD) is a progressive neurodegenerative ailment manifested by a
decay in cognitive functions with no validated management. As it is crucial to avert the …

Brain–Computer Interface: Review, Applications and Challenges

P Sengar, S Bardhan - Machine Learning and Deep Learning in …, 2022 - taylorfrancis.com
A brain–computer interface (BCI) provides a method of generating interaction between the
human brain and a computational system, that is, a computer. In short, communicating with a …

Three-dimensional reconstruction and digital printing of medical objects in purview of clinical applications

SS Joseph, D Aju - Machine Learning and Deep Learning in …, 2022 - taylorfrancis.com
Visual representation of intricate anatomical morphology of the human body has great
significance in the medical field. Technological advancements in imaging modalities over …