A survey of drug-target interaction and affinity prediction methods via graph neural networks
Y Zhang, Y Hu, N Han, A Yang, X Liu, H Cai - Computers in Biology and …, 2023 - Elsevier
The tasks of drug-target interaction (DTI) and drug-target affinity (DTA) prediction play
important roles in the field of drug discovery. However, biological experiment-based …
important roles in the field of drug discovery. However, biological experiment-based …
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …
has received much attention in various optimization fields due to its simple structure and …
Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++
J Li, K Liu, Y Hu, H Zhang, AA Heidari, H Chen… - Computers in Biology …, 2023 - Elsevier
Computerized tomography (CT) is of great significance for the localization and diagnosis of
liver cancer. Many scholars have recently applied deep learning methods to segment CT …
liver cancer. Many scholars have recently applied deep learning methods to segment CT …
Information sharing search boosted whale optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
L Peng, C He, AA Heidari, Q Zhang, H Chen… - Energy Conversion and …, 2022 - Elsevier
With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …
widespread attention from scholars as a highly efficient and clean new energy source …
Multi-verse optimizer with rosenbrock and diffusion mechanisms for multilevel threshold image segmentation from COVID-19 chest X-ray images
Y Han, W Chen, AA Heidari, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution
Breast cancer has replaced lung cancer as the most prevalent malignancy threatening
human health. Early breast screening can help improve treatment success and reduce the …
human health. Early breast screening can help improve treatment success and reduce the …
Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search
S Yu, AA Heidari, C He, Z Cai, MM Althobaiti… - Solar Energy, 2022 - Elsevier
Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …
essential tool for future years. Subsequently, several static solar PV models have been …
WSNMF: Weighted symmetric nonnegative matrix factorization for attributed graph clustering
Abstract In recent times, Symmetric Nonnegative Matrix Factorization (SNMF), a derivative of
Nonnegative Matrix Factorization (NMF), has surfaced as a promising technique for graph …
Nonnegative Matrix Factorization (NMF), has surfaced as a promising technique for graph …
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19
COVID-19 is pervasive and threatens the safety of people around the world. Therefore, now,
a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X …
a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X …
Advanced orthogonal learning and Gaussian barebone hunger games for engineering design
X Zhou, W Gui, AA Heidari, Z Cai… - Journal of …, 2022 - academic.oup.com
The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …
optimization algorithm that mimics a common phenomenon of animals searching for food …