Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects

S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao… - Information …, 2021 - Elsevier
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …

A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …

Harris hawks optimization algorithm: variants and applications

M Shehab, I Mashal, Z Momani, MKY Shambour… - … Methods in Engineering, 2022 - Springer
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

[HTML][HTML] Recent advances in harris hawks optimization: A comparative study and applications

AG Hussien, L Abualigah, R Abu Zitar, FA Hashim… - Electronics, 2022 - mdpi.com
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

Data‐Driven Urban Traffic Accident Analysis and Prediction Using Logit and Machine Learning‐Based Pattern Recognition Models

V Najafi Moghaddam Gilani… - Mathematical …, 2021 - Wiley Online Library
Modeling the severity of accidents based on the most effective variables accounts for
developing a high‐precision model presenting the possibility of occurrence of each category …

[HTML][HTML] Design of a distribution network in a multi-product, multi-period green supply chain system under demand uncertainty

A Boskabadi, M Mirmozaffari, R Yazdani… - Sustainable Operations …, 2022 - Elsevier
This paper proposes a novel fuzzy mathematical model for a distribution network design
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …

[HTML][HTML] A novel machine learning approach combined with optimization models for eco-efficiency evaluation

M Mirmozaffari, M Yazdani, A Boskabadi… - Applied Sciences, 2020 - mdpi.com
Machine learning approaches have been developed rapidly and also they have been
involved in many academic findings and discoveries. Additionally, they are widely assessed …

Harris hawk optimization: a survey onvariants and applications

BK Tripathy, PK Reddy Maddikunta… - Computational …, 2022 - Wiley Online Library
In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …

A novel artificial intelligent approach: Comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency …

M Mirmozaffari, E Shadkam, SM Khalili… - International journal of …, 2021 - emerald.com
Purpose Cement as one of the major components of construction activities, releases a
tremendous amount of carbon dioxide (CO2) into the atmosphere, resulting in adverse …

[HTML][HTML] A novel hybrid simulated annealing for no-wait open-shop surgical case scheduling problems

A Rahimi, SM Hejazi, M Zandieh… - Applied System …, 2023 - mdpi.com
In this paper, the problem of finding an assignment of “n” surgeries to be presented in one of
“m” identical operating rooms (ORs) or machines as the surgical case scheduling problem …