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...
الحاوية / القاعدة: | PeerJ Computer Science |
---|---|
المؤلف الرئيسي: | 2-s2.0-85194107878 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
PeerJ Inc.
2024
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194107878&doi=10.7717%2fPEERJ-CS.1995&partnerID=40&md5=dc5ba4da33ef36ee83aa5ffc818534f4 |
مواد مشابهة
-
Evaluation of CNN, alexnet and GoogleNet for fruit recognition
بواسطة: 2-s2.0-85051792349
منشور في: (2018) -
SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images
بواسطة: Haryanto T.; Suhartanto H.; Murni A.; Kusmardi; Yusoff M.; Zain J.M.
منشور في: (2024) -
Classification of Cervical Precancerous Cell of ThinPrep Images Based on Deep Learning Model AlexNet and InceptionV3
بواسطة: 2-s2.0-85133141911
منشور في: (2022) -
Paddy Diseases Multi-Class Classification using CNN Variants
بواسطة: 2-s2.0-85189140711
منشور في: (2023) -
Convolutional Neural Network Based Deep Learning Model for Accurate Classification of Durian Types
بواسطة: Diana D.; Kurniawan T.B.; Dewi D.A.; Alqudah M.K.; Alqudah M.K.; Zakari M.Z.; Fuad E.F.B.E.
منشور في: (2025)