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An IoT-Enabled Hybrid Deep Q-Learning and Elman Neural Network Framework for Proactive Crop Healthcare in the Agriculture Sector
Meshari Alazmi
, Majid Alshammari
,
Dina A. Alabbad
, Hamad Ali Abosaq
, Ola Hegazy
, Khaled M. Alalayah
,
Nahla O.A. Mustafa
, Abu Sarwar Zamani
, Shahid Hussain
*
*
Corresponding author for this work
Computer Engineering Department (CE)
Computing Department
University of Hail
Taif University
Najran University
Imam Abdulrahman Bin Faisal University
Ibb University
Prince Sattam Bin Abdulaziz University
Atlantic Technological University
Research output
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Contribution to journal
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Article
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peer-review
1
Scopus citations
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Weight
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Engineering
Internet-Of-Things
100%
Q-Learning
100%
Elman neural networks
100%
Artificial Intelligence
40%
Confidence Interval
20%
Computational Complexity
20%
Decision Time
20%
Recursive
20%
Health Monitoring
20%
Monitoring Data
20%
Computer Science
Internet-Of-Things
100%
Neural Network
100%
Related Pattern
40%
Deep Q-Network
40%
Artificial Intelligence
20%
Computational Complexity
20%
Decision Making
20%
Decision-Making
20%
Complexity Analysis
20%
Artificial Intelligence Model
20%
Monitoring Data
20%
Chemical Engineering
Neural Network
100%
Artificial Intelligence
50%
Earth and Planetary Sciences
Monitoring Data
50%
Confidence Interval
50%