Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
Apple leaf disease recognition method with improved residual network
H Yu, X Cheng, C Chen, AA Heidari, J Liu, Z Cai… - Multimedia Tools and …, 2022 - Springer
The occurrence of apple diseases has dramatically affected the quality and yield of apples.
Disease monitoring is an important measure to ensure the healthy development of the apple …
Disease monitoring is an important measure to ensure the healthy development of the apple …
Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method
AG Hussien, AA Heidari, X Ye, G Liang, H Chen… - Engineering with …, 2023 - Springer
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …
optima problems, because of their ability to explore and exploit various zones of the feature …
The diagnosis of ASD with MRI: a systematic review and meta-analysis
While diagnosing autism spectrum disorder (ASD) based on an objective test is desired, the
current diagnostic practice involves observation-based criteria. This study is a systematic …
current diagnostic practice involves observation-based criteria. This study is a systematic …
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
L Liu, D Zhao, F Yu, AA Heidari, J Ru, H Chen… - Computers in Biology …, 2021 - Elsevier
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …
to provide the necessary diagnostic assistance for it. The medical image processing …
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
Random reselection particle swarm optimization for optimal design of solar photovoltaic modules
Renewable energy is becoming more popular due to environmental concerns about the
previous energy source. Accurate solar photovoltaic system model parameters substantially …
previous energy source. Accurate solar photovoltaic system model parameters substantially …
Multi-threshold image segmentation using a multi-strategy shuffled frog lea** algorithm
Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …
processing, can help doctors make more precise decisions on patient diagnosis. Although …
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 …
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine
B Shi, H Ye, L Zheng, J Lyu, C Chen, AA Heidari… - Computers in Biology …, 2021 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) was distributed globally at the end of
December 2019 due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
December 2019 due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …