Zhennao Cai
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2023
OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection.
Appl. Soft Comput., October, 2023
Static photovoltaic models' parameter extraction using reinforcement learning strategy adapted local gradient Nelder-Mead Runge Kutta method.
Appl. Intell., October, 2023
Dimensional decision covariance colony predation algorithm: global optimization and high-dimensional feature selection.
Artif. Intell. Rev., October, 2023
Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray.
Displays, September, 2023
Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection.
Appl. Soft Comput., September, 2023
Multi-threshold image segmentation based on an improved differential evolution: Case study of thyroid papillary carcinoma.
Biomed. Signal Process. Control., August, 2023
Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction.
Biomed. Signal Process. Control., May, 2023
Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer.
Biomed. Signal Process. Control., April, 2023
Cauchy mutation boosted Harris hawk algorithm: optimal performance design and engineering applications.
J. Comput. Des. Eng., March, 2023
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems.
Expert Syst. Appl., 2023
2022
A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning.
Sensors, 2022
Sensors, 2022
Sensors, 2022
Multim. Tools Appl., 2022
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection.
Knowl. Based Syst., 2022
A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making.
J. Comput. Sci., 2022
Advanced orthogonal learning and Gaussian barebone hunger games for engineering design.
J. Comput. Des. Eng., 2022
Laplace crossover and random replacement strategy boosted Harris hawks optimization: performance optimization and analysis.
J. Comput. Des. Eng., 2022
Individual disturbance and neighborhood mutation search enhanced whale optimization: performance design for engineering problems.
J. Comput. Des. Eng., 2022
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection.
Neurocomputing, 2022
Eng. Comput., 2022
Eng. Comput., 2022
Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition.
Comput. Biol. Medicine, 2022
An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders.
Comput. Biol. Medicine, 2022
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization.
Comput. Biol. Medicine, 2022
Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution.
Comput. Biol. Medicine, 2022
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation.
Comput. Biol. Medicine, 2022
2021
Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis.
Comput. Biol. Medicine, 2021
2020
Math. Comput. Simul., 2020
Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems.
Expert Syst. Appl., 2020
2019
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy.
Expert Syst. Appl., 2019
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.
Comput. Biol. Chem., 2019
2018
Developing a new intelligent system for the diagnosis of tuberculous pleural effusion.
Comput. Methods Programs Biomed., 2018
An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.
Comput. Math. Methods Medicine, 2018
Theoretical Design of Band Pass Filter Utilizing Long Period Fiber Grating Having Cladding Refractive Index Perturbation.
Autom. Control. Comput. Sci., 2018
2017
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.
Neurocomputing, 2017
Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction.
Eng. Appl. Artif. Intell., 2017
Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach.
Comput. Methods Programs Biomed., 2017
An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.
Comput. Math. Methods Medicine, 2017
IEEE Access, 2017
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
2016
An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease.
Neurocomputing, 2016
2015
Optimizing the fault-tolerance overheads of HPC systems using prediction and multiple proactive actions.
J. Supercomput., 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
2014
A Hybrid Extreme Learning Machine Approach for Early Diagnosis of Parkinson's Disease.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014