Back to search

Article

Enhancing Image Classification Accuracy with Adaptive Learning Convolutional Neural Network (AL-CNN): A Hybrid of AlexNet and LeNet Architectures

2025-03-17

Abstract excerpt

<title>Abstract</title> <p>Image classification is a key application of computer vision that finds direct relevance in medical diagnostics, autonomous vehicles, and remote sensing. This paper discusses the use of AL-CNN (Adaptive Learning Convolutional Neural Networks) for image classification with results reported on a large-scale benchmark dataset which have been widely accepted for benchmarking test performanc...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3dfadb9f-faea-5a46-888d-5ec8d579ccd4
DOI
10.21203/rs.3.rs-6204645/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Enhancing Image Classification Accuracy with Adaptive Learning Convolutional Neural Network (AL-CNN): A Hybrid of AlexNet and LeNet ArchitecturesDOI 10.21203/rs.3.rs-6204645/v1
Select a neighboring publication to make it the new centre.