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A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery

Computers & chemical engineering, 2020-02, Vol.133, p.106656, Article 106656

2020

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Enhanced Harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities

Neural computing & applications, 2021-10, Vol.33 (20), p.13601-13618

2021

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An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Computational intelligence and neuroscience, 2022, Vol.2022, p.2247675-12

2022

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Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data

Neural computing & applications, 2023-03, Vol.35 (7), p.5251-5275

2023

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Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning

Computers in biology and medicine, 2024-11, Vol.182, p.109175, Article 109175

2024

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Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection

Computers in biology and medicine, 2024-09, Vol.180, p.108984, Article 108984

2024

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Soft computing techniques for biomedical data analysis: open issues and challenges

The Artificial intelligence review, 2023-11, Vol.56 (Suppl 2), p.2599-2649

2023

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Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm

Expert systems with applications, 2024-12, Vol.255, p.124581, Article 124581

2024

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A hybrid seagull optimization algorithm for chemical descriptors classification

2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2021, p.1-6

2021

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An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics

Knowledge-based systems, 2023-09, Vol.275, p.110697, Article 110697

2023

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Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets

Swarm and evolutionary computation, 2024-08, Vol.89, p.101656, Article 101656

2024

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Drug Design and Discovery: Theory, Applications, Open Issues and Challenges

Metaheuristics in Machine Learning: Theory and Applications, 2021, Vol.967, p.337-358

2021

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Classification Approach for COVID-19 Gene Based on Harris Hawks Optimization

Artificial Intelligence for COVID-19, 2021, Vol.358, p.575-594

2021

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A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery

Enhanced Harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities

An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data

Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning

Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection

Soft computing techniques for biomedical data analysis: open issues and challenges

Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm

A hybrid seagull optimization algorithm for chemical descriptors classification

An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics

Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets

Drug Design and Discovery: Theory, Applications, Open Issues and Challenges

Classification Approach for COVID-19 Gene Based on Harris Hawks Optimization

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