Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research focused on Mathematical optimization and Chaotic, with related work in Set (abstract data type), Algorithm, Metaheuristic. Notable publications include 'Harris hawks optimization: Algorithm and applications', 'Slime mould algorithm: A new method for stochastic optimization', and 'RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method'.
Swarm intelligence enhanced machine learning model for predicting prognostic outcome in IgA Nephropathy patients with mild proteinuria
Unconventional structural evolution of an oxide surface in water unveiled by in situ sum-frequency spectroscopy
S$^{2}$O-Det: A Semisupervised Oriented Object Detection Network for Remote Sensing Images
Consistency-based semi-supervised learning for oriented object detection
Dual roles of dopaminergic pathways in olfactory learning and memory in the oriental fruit fly, Bactrocera dorsalis
RIME: A physics-based optimization
Hierarchical Harris hawks optimizer for feature selection
The antitumour effects of caloric restriction are mediated by the gut microbiome
Gaussian similarity-based adaptive dynamic label assignment for tiny object detection
Salp swarm algorithm with iterative mapping and local escaping for multi-level threshold image segmentation: a skin cancer dermoscopic case study
bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease
The Neuronal and Non-Neuronal Pathways of Sodium-Glucose Cotransporter-2 Inhibitor on Body Weight-Loss and Insulin Resistance
Combination of chemical profiling and network pharmacology analysis to investigate the potential mechanism of Li‐Zhong‐Xiao‐Pi granules in the treatment of gastric precancerous lesions
Covalent Modification of Proteins by Osthole Reactive Metabolites using ProteomicApproaches
Generative Adversarial Networks in Medical Image augmentation: A review
Smart contract vulnerability detection combined with multi-objective detection
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm
CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution
A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning
SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection
Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines
An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis
A 65nm/0.448 mW EEG processor with parallel architecture SVM and lifting wavelet transform for high-performance and low-power epilepsy detection
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Pectin supplement significantly enhanced the anti-PD-1 efficacy in tumor-bearing mice humanized with gut microbiota from patients with colorectal cancer
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
Boosting slime mould algorithm for parameter identification of photovoltaic models
Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method