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A bibliometric analysis: AI-driven data placement optimization in cloud replication environments
Published 2024“…Data placement strategy using artificial intelligence (AI) in cloud replication environments has garnered significant attention in recent years. …”
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A Survey on Information-Centric Networking with Cloud Internet of Things and Artificial Intelligence
Published 2022“…We initially rate the configuration of ICN with cloud or edge IoT and AI (ICN-CIoT-AI) in this study so that readers may learn about the latest trends and merging of ICN-CIoT-AI. …”
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Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases
Published 2022“…Latency in real-time processing is influenced by many factors such as artificial intelligence (AI) computing algorithm, device processing capabilities, the frameworks, and also the distance from the cloud infrastructure. …”
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Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak
Published 2025“…Furthermore, AI algorithms can reconcile transactions and identify discrepancies. …”
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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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Feature-based face recognition system using utilized artificial neural network
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Crop yield prediction in agriculture: a comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability
Published 2024“…This research paper delves into the application of advanced Artificial Intelligence (AI) techniques to enhance crop yield estimation in the context of diverse agricultural challenges. …”
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Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development
Published 2023“…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
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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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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…Corina delivering her speech titled "AI and SDGs: Resource-Based View Perspective." In the speech introduction, various definitions of Artificial Intelligence (AI) were provided. …”
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An Intelligent Hybrid Model Using CNN and RNN for Crop Yield Prediction
Published 2023“…In this study, an intelligent hybrid model using CNN and RNN for crop yield prediction is proposed. …”
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Final Year Project Report / IMRAD -
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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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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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How Can Aerial Imagery and Vegetation Indices Algorithms Monitor the Geotagged Crop?
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Real-time personal protective equipment compliance detection using you only look once
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Disease detection of solanaceous crops using deep learning for robot vision
Published 2022“…Identifying the correct diseases is crucial since it can improve the quality and quantity of crop production. With the advent of Artificial Intelligence (AI) technology, all crop-managing tasks can be automated using a robot that mimics a farmer's ability. …”
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Characteristics of machining data and machine learning models - A case study
Published 2023“…Advancement of technologies in computing such as internet of things, cloud computing, and artificial intelligence drive manufacturing industries to adopt and implement automation in production. …”
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