Harmony search: Current studies and uses on healthcare systems
MT Abdulkhaleq, TA Rashid, A Alsadoon… - Artificial Intelligence in …, 2022 - Elsevier
One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been
verified that HS can find solutions to optimization problems due to its balanced exploratory …
verified that HS can find solutions to optimization problems due to its balanced exploratory …
Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
Breast cancer is a commonly occurring disease in women all over the world. Mammogram is
an efficient technique used for screening and identification of abnormalities over the breast …
an efficient technique used for screening and identification of abnormalities over the breast …
[PDF][PDF] Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things.
In recent times, Internet of Medical Things (IoMT) gained much attention in medical services
and healthcare management domain. Since healthcare sector generates massive volumes …
and healthcare management domain. Since healthcare sector generates massive volumes …
Shadowed type-2 fuzzy systems for dynamic parameter adaptation in harmony search and differential evolution for optimal design of fuzzy controllers
This article mainly focuses on the utilization of shadowed type-2 fuzzy systems used to
achieve the goal of dynamically adapting the parameters of two already known algorithms in …
achieve the goal of dynamically adapting the parameters of two already known algorithms in …
[PDF][PDF] Machine learning based depression, anxiety, and stress predictive model during COVID-19 crisis
Corona Virus Disease-2019 (COVID-19) was reported at first in Wuhan city, China by
December 2019. World Health Organization (WHO) declared COVID-19 as a pandemic ie …
December 2019. World Health Organization (WHO) declared COVID-19 as a pandemic ie …
Patron–Prophet Artificial Bee Colony Approach for Solving Numerical Continuous Optimization Problems
K Thirugnanasambandam, R Ramalingam, D Mohan… - Axioms, 2022 - mdpi.com
The swarm-based Artificial Bee Colony (ABC) algorithm has a significant range of
applications and is competent, compared to other algorithms, regarding many optimization …
applications and is competent, compared to other algorithms, regarding many optimization …
[PDF][PDF] Modeling of Explainable Artificial Intelligence for Biomedical Mental Disorder Diagnosis.
The abundant existence of both structured and unstructured data and rapid advancement of
statistical models stressed the importance of introducing Explainable Artificial Intelligence …
statistical models stressed the importance of introducing Explainable Artificial Intelligence …
Optimal operation of multi-reservoir systems: comparative study of three robust metaheuristic algorithms
In this study, the capability of the recently introduced moth swarm algorithm (MSA) was
compared with two robust metaheuristic algorithms: the harmony search (HS) algorithm and …
compared with two robust metaheuristic algorithms: the harmony search (HS) algorithm and …
Machine learning with data science-enabled lung cancer diagnosis and classification using computed tomography images
In recent times, the healthcare industry has been generating a significant amount of data in
distinct formats, such as electronic health records (EHR), clinical trials, genetic data …
distinct formats, such as electronic health records (EHR), clinical trials, genetic data …
Machine learning algorithm selection for chronic kidney disease diagnosis and classification
M Gokiladevi, S Santhoshkumar… - Malaysian Journal of …, 2022 - jupidi.um.edu.my
In last decades, chronic kidney disease (CKD) becomes a global health problem that is
steadily developing worldwide. It is a chronic illness highly related to increased morbidity …
steadily developing worldwide. It is a chronic illness highly related to increased morbidity …