Search Results - intelligence model ((crops algorithm) OR (cloud algorithm))
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…The GA-ANN and GA-NARX models perform markedly better than the other models in the most training algorithms with different numbers of hidden layers.…”
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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Cloud Co-Residency Denial of Service Threat Detection Inspired by Artificial Immune System
Published 2024Proceedings Paper -
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User authentication in public cloud computing through adoption of electronic personal synthesis behavior
Published 2023“…The problem is in multi-factor authentication with public cloud computing, the performance of user authentication in password-based authentication needs to move from traditional security processes to intelligent security processes. …”
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Cloud co-residency denial of service threat detection inspired by artificial immune system
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An Intelligent Hybrid Model Using CNN and RNN for Crop Yield Prediction
Published 2023“…AI has been successfully applied in agriculture field in terms of prediction, decision making, crops and soil monitoring and analysing. In this study, an intelligent hybrid model using CNN and RNN for crop yield prediction is proposed. …”
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Cloud co-residency denial of service threat detection inspired by artificial immune system
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Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems
Published 2015“…Cloud computing is a cost-effective and dynamic business model. …”
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Quantitative and intelligent risk models in risk management for constructing software development projects: A review
Published 2016“…Indeed, this area needs more effort from scholars and researchers in quantitative and intelligent risk models to mitigate risks. As future work, we will use these hybrid models of quantitative and intelligent for mitigating software risks in cloud computing such as neural network, genetic algorithm and others artificial intelligence techniques.…”
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Agent driven Peer-to-Peer Cloud Robotics
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Implementing server-side federated learning in an edge-cloud framework for precision aquaculture
Published 2025“…Precision aquaculture involves the use of smart technologies such as sensors, cloud computing, and artificial intelligence to monitor and manage fish farming environments. …”
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Development Of An Intelligent Water Blending System For Irrigation Of Crops With Various Salinity Tolerance And Aquaculture
Published 2008“…The application of Artificial Intelligence (AI) systems in decision-making and intelligent control systems has recently gained attention of researchers. …”
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Cloud-Mobi Framework using hybrid AHP-ACO method for Social Interaction and Travel Planning
Published 2013“…The paper includes an example of step-by-step AHP implementation in level 1 decision modeling to calculate the interest score. The implementation has shown that the proposed Cloud-Mobi framework is promising for travel recommendation applications. …”
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
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A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells
Published 2025“…This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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Characteristics of machining data and machine learning models - A case study
Published 2023“…One of the key technologies or preferable methods to increase the productivity is implementing prediction models or machine learning (ML) algorithms in production. …”
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