Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Benchmark (surveying), Mathematical optimization, Artificial intelligence, Chaotic, and Local optimum.
Tandem mass tag-based quantitative proteomics analysis reveals the new regulatory mechanism of progranulin in influenza virus infection
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer
Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine
Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
Survival exploration strategies for Harris Hawks Optimizer
Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
Gaussian mutational chaotic fruit fly-built optimization and feature selection
Multi-strategy boosted mutative whale-inspired optimization approaches
Novel glucagon- and OXM-based peptides acting through glucagon and GLP-1 receptors with body weight reduction and anti-diabetic properties