DDBTC approach with binary particle swarm optimization for greedy-DCNN based CBIR system-Reference-Cited by-同舟云学术

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DDBTC approach with binary particle swarm optimization for greedy-DCNN based CBIR system

Published:2022-07 Issue: Volume:76 Page:103710
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Patel Bhagwandas,Mohan Singh Brij,Yadav Kuldeep

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference28 articles.

1. EPCBIR: an efficient and privacy-preserving content-based image retrieval scheme in cloud computing;Xia;Inf. Sci.,2017

2. Content-based image retrieval system for clinical diagnosis of pigmented skin lesions;Abbas;IJCSNS,2017

3. Scalable database indexing and fast image retrieval based on deep learning and hierarchically nested structure applied to remote sensing and plant biology;Sadeghi-Tehran;J. Imaging,2019

4. Query-sensitive similarity measure for content-based image retrieval using meta-heuristic algorithm;Alsmadi;J. King Saud Univ.-Comput. Inf. Sci.,2018

5. GEO matching regions: multiple regions of interests using content based image retrieval based on relative locations;Memon;Multimed. Tools Appl.,2017

Cited by 1 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. Performance Analysis of Query-Based Image Tagging Model in CBIR;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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