DenseHillNet: a lightweight CNN for accurate classification of natural images

The detection of natural images, such as glaciers and mountains, holds practical applications in transportation automation and outdoor activities. Convolutional neural networks (CNNs) have been widely employed for image recognition and classification tasks. While previous studies have focused on fru...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PeerJ. Computer science Jg. 10; S. e1995
Hauptverfasser:	Saqib, Sheikh Muhammad, Zubair Asghar, Muhammad, Iqbal, Muhammad, Al-Rasheed, Amal, Amir Khan, Muhammad, Ghadi, Yazeed, Mazhar, Tehseen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 22.04.2024 PeerJ Inc
Schlagworte:	Classification CNN Computational Science Data Mining and Machine Learning DenseHillNet Glaciers Medical imaging equipment Neural networks Taiwan CNN DenseHillNet Computer network & communication Classification AI DL Alrothim and analysis Computer aided design ML
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!