Work

LiteFODNet: A lightweight deep learning model for intelligent detection of small objects in runway surveillance data

Year: 2025

Type: article

Source: Intelligent Data Analysis

DOI: 10.1177/1088467x251377586

Authors: Ali Khan, Somaiya Khan, Mohammed AM Elhassan, Izhar Ahmed Khan, Rizwan Khan, Hai Deng, Mohammed Alsuhaibani

Institutions: Nanjing University of Aeronautics and Astronautics, Beijing University of Posts and Telecommunications, Zhejiang Normal University, University of Limerick, Qassim University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414540338

FWCI: 0.375

Cites: 35

Cited by: 1

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