Statistical Data Analysis Models for Determining the Relevance of Structural Image Descriptions-Reference-Cited by-同舟云学术

Statistical Data Analysis Models for Determining the Relevance of Structural Image Descriptions

Published:2023 Issue: Volume:11 Page:126938-126949
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Daradkeh Yousef Ibrahim¹,Gorokhovatskyi Volodymyr²^ORCID,Tvoroshenko Iryna²^ORCID,Gadetska Svitlana³^ORCID,Al-Dhaifallah Mujahed⁴^ORCID

Affiliation:

1. Department of Computer Engineering and Information, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Department of Informatics, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

3. Department of Higher Mathematics, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine

4. Control and Instrumentation Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

Funder

Prince Sattam bin Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10315000.pdf?arnumber=10315000

Reference40 articles.

1. Intelligent Detection Method of Forgings Defects Detection Based on Improved EfficientNet and Memetic Algorithm

2. Aggregate Parametric Representation of Image Structural Description in Statistical Classification Methods

3. T-YOLO: Tiny vehicle detection based on YOLO and multi-scale convolutional neural networks

4. Analysis of distance metrics in content-based image retrieval using statistical quantized histogram texture features in the DCT domain

5. Object Detection Recognition and Robot Grasping Based on Machine Learning: A Survey

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