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Najam Aziz
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
N Minallah, M Tariq, N Aziz, W Khan, A Rehman, SB Belhaouari
Plos one 15 (9), e0239746, 2020
262020
Performance analysis of artificial neural network based land cover classification
N Aziz, N Minallah, A Junaid, K Gul
Int. J. Mar. Environ. Sci 11, 422, 2017
72017
Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification
AR Durrani, N Minallah, N Aziz, J Frnda, W Khan, J Nedoma
Plos one 18 (2), e0275653, 2023
42023
Performance analysis of object oriented remote sensing techniques for forest detection in Pakistan
K Gul, N Minallah, A Junaid, N Aziz
Sindh University Research Journal-SURJ (Science Series) 48 (3), 2016
32016
Performance evaluation of transfer learning based deep convolutional neural network with limited fused spectrotemporal data for land cover classification.
M Hasanat, W Khan, N Minallah, N Aziz, AUR Durrani
International Journal of Electrical & Computer Engineering (2088-8708) 13 (6), 2023
12023
Geographic Object-Based Image Analysis for Small Farmlands using Machine Learning Techniques on Multispectral Sentinel-2 Data
N Aziz, N Minallah, M Hasanat, M Ajmal
Proceedings of the Pakistan Academy of Sciences: A. Physical and …, 2024
2024
Comparative Analysis of Supervised Classification Algorithms for Urban Sprawl Detection
N MINALLAH, W KHAN, A RASHID, MN KHAN, N AZIZ, M UZAIR, ...
Sindh University Research Journal-SURJ (Science Series) 51 (3), 2019
2019
Scalable Video Coding: Performance Analysis and Trade-offs
N MINALLAH, S IKRAM, N AZIZ, A KHALIL
Sindh University Research Journal-SURJ (Science Series) 49 (1), 2017
2017
Land cover Classification and Crop Estimation using Remote Sensing Techniques
N Aziz, N Minallah, A Junaid
International Journal of Computer Applications 975, 8887, 2016
2016
SINDH UNIVERSITY RESEARCHJOURNAL (SCIENCE SERIES)
N MINALLAH, W KHAN, A RASHID, N AZIZ, M UZAIR, S YOUSAF
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Artikelen 1–10