[HTML][HTML] Slime mould algorithm: A comprehensive survey of its variants and applications

FS Gharehchopogh, A Ucan, T Ibrikci, B Arasteh… - … Methods in Engineering, 2023 - Springer
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …

Synergizing the enhanced RIME with fuzzy K-nearest neighbor for diagnose of pulmonary hypertension

X Yu, W Qin, X Lin, Z Shan, L Huang, Q Shao… - Computers in Biology …, 2023 - Elsevier
Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …

Analyzing the molecular mechanism of xuefuzhuyu decoction in the treatment of pulmonary hypertension with network pharmacology and bioinformatics and verifying …

X Yu, W Qin, H Cai, C Ren, S Huang, X Lin… - Computers in Biology …, 2024 - Elsevier
Background XueFuZhuYu (XFZY), a typical Chinese herbal formula, has remarkable clinical
effects for treating Pulmonary Hypertension (PH) with unclear mechanisms. Our research …

[HTML][HTML] Advances in Slime Mould Algorithm: A Comprehensive Survey

Y Wei, Z Othman, KM Daud, Q Luo, Y Zhou - Biomimetics, 2024 - mdpi.com
The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …

Prediction of recurrent spontaneous abortion using evolutionary machine learning with joint self-adaptive sime mould algorithm

B Shi, J Chen, H Chen, W Lin, J Yang, Y Chen… - Computers in Biology …, 2022 - Elsevier
Recurrent spontaneous abortion (RSA) is a frequent abnormal pregnancy with long-term
psychological repercussions that disrupt the peace of the whole family. In the diagnosis and …

Super‐evolutionary mechanism and Nelder‐Mead simplex enhanced salp swarm algorithm for photovoltaic model parameter estimation

H Wu, Y Chen, Z Cai, AA Heidari… - IET Renewable …, 2024 - Wiley Online Library
In the pursuit of enhancing the efficiency of solar cells, accurate estimation of unspecified
parameters in the solar photovoltaic (PV) cell model is imperative. An advanced salp swarm …

[HTML][HTML] Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine

Y Li, D Zhao, G Liu, Y Liu, Y Bano… - Frontiers in …, 2022 - frontiersin.org
Intradialytic hypotension (IDH) is an adverse event occurred during hemodialysis (HD)
sessions with high morbidity and mortality. The key to preventing IDH is predicting its pre …

[HTML][HTML] Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A …

E Stamate, AI Piraianu, OR Ciobotaru, R Crassas… - Diagnostics, 2024 - mdpi.com
Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

Enhanced PSO feature selection with Runge-Kutta and Gaussian sampling for precise gastric cancer recurrence prediction

J Zhao, JC Li, J Yao, G Lin, C Chen, H Ye, X He… - Computers in Biology …, 2024 - Elsevier
Gastric cancer (GC), characterized by its inconspicuous initial symptoms and rapid
invasiveness, presents a formidable challenge. Overlooking postoperative intervention …

Optimizing prediction accuracy for early recurrent lumbar disc herniation with a directional mutation-guided SVM model

M Jia, J Lai, K Li, J Chen, K Huang, C Ding… - Computers in Biology …, 2024 - Elsevier
Percutaneous endoscopic lumbar discectomy (PELD) is one of the main means of minimally
invasive spinal surgery, and is an effective means of treating lumbar disc herniation, but its …