Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques : A systematic review

Author:

Kaur Inderpreet1,Sandhu Amanpreet Kaur1,Kumar Yogesh2

Affiliation:

1. UIC, Chandigarh University, Gharuan,Mohali,India

2. Indus University,Department of Computer Engineering,Ahmedabad,Gujarat

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards accurate spatial prediction of Glossina pallidipes relative densities at country-scale in Kenya;Ecological Informatics;2024-07

2. Deep learning in neglected vector-borne diseases: a systematic review;International Journal of System Assurance Engineering and Management;2024-06-10

3. Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

4. Real‐World Estimation of Malaria Prevalence From Genome of Vectors and Climate Analysis;Privacy Preservation of Genomic and Medical Data;2023-10-17

5. Artificial Intelligence-Based Learning Approaches for Medical Imaging;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

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