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 …

[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 …

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 …

[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 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 …

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
develo** a high‐precision model presenting the possibility of occurrence of each category …

[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 …

[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 …

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] Improving power output wind turbine in micro-grids assisted virtual wind speed prediction

M Ozbak, M Ghazizadeh-Ahsaee, M Ahrari… - Sustainable Operations …, 2024 - Elsevier
Wind energy is an alternative form of energy easily obtainable in the landscape. However,
the main challenge is to extract electrical power from varying wind speeds. Wind energy can …