Evaluating Convolutional Neural Network Architecture for Historical Topographic Hardcopy Maps Analysis: A Study on Training and Validation Accuracy Variation
Convolutional Neural Networks (CNN) are widely used for image analysis tasks, including object detection, segmentation, and recognition. Given the advanced capability, this study evaluates the effectiveness and performance of CNN architecture for analysing Historical Topographic Hardcopy Maps (HTHM)...
| Published in: | Pertanika Journal of Science and Technology |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208607925&doi=10.47836%2fpjst.32.6.11&partnerID=40&md5=a58973072175fda1b4f5ca0056f130cd |