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Hamed Laouz
Observed names:
Hamed laouz,
Laouz, Hamed
Institution:
University of Biskra
Observed institution:
University of Biskra
ORCID:
0009-0007-3454-3248
Observed ORCID:
0009-0007-3454-3248
OpenAlex ID:
A5064598857
Literature Review on Driver’s Drowsiness and Fatigue Detection
2020
·
Hamed Laouz
, Soheyb Ayad
, et al.
·
International Conference on Intelligent Systems and Computer Vision (ISCV)
·
15
A Blockchain-based approach to securing data in smart agriculture
2022
·
M'hamed Mancer
, Labib Sadek Terrissa
, et al.
·
International Symposium on iNnovative Informatics of Biskra (ISNIB)
·
12
A novel index for evaluating the effects of urban morphology and solar geometry on shadow performance using pixel-based detection from high-resolution satellite imagery
2026
·
Soundesse Guettala
, Belkacem Marir
, et al.
·
Sustainable Cities and Society
·
2
Performance and Robustness Analysis of Advanced Machine Learning Models for Predicting the Required Irrigation Water Amount
2024
·
Hamed Laouz
, Soheyb Ayad
, et al.
·
International Journal of Computing and Digital Systems
·
2
Advancing Crop Recommendation Systems Through Ensemble Learning Techniques
2024
·
M’hamed Mancer
, Labib Sadek Terrissa
, et al.
·
Lecture notes in networks and systems
·
2
A Deep Learning Approach Based on Lstm Network for Agriculture Sensor Missing Data Prediction
2024
·
Hamed Laouz
, Soheyb Ayad
, et al.
·
International Conference of the African Federation of Operational Research Societies (AFROS)
·
1
Deep Reinforcement Learning for Adaptive Temperature Control in Greenhouses: A DQN-Based Framework and Experimental Evaluation
2026
·
Priyanshi Kumari
, Hamed laouz
, et al.
·
Research Square
PDF
A Novel Deep Learning Framework Based on Heterogeneous Temporal Data Harmonization for Irrigation Water Amount Prediction
2026
·
Hamed Laouz
, Soheyb Ayad
, et al.
·
Arabian Journal for Science and Engineering
Water Amount Prediction for Smart Irrigation Based on Machine Learning Techniques
2024
·
Hamed Laouz
, Soheyb Ayad
, et al.
·
Lecture notes in networks and systems
Tomato Crop Forecasting: A Comparative Analysis of Regression Models
2024
·
M'hamed Mancer
, Labib Sadek Terrissa
, et al.
·
ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)
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Works count:
13
Citation count:
36
H-index:
2
I10-index:
2
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