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Computational intelligence: It’s application in digital watermarking
Published 2013“…This paper brings to view of computational intelligence techniques specifically the Artificial Neural Network (ANN); generalizations of mathematical models based on biological nervous systems and its applications in digital watermarking. …”
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iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
Published 2024“…Therefore, this paper proposes an ARL-based intelligent Behavioural Trust Model (iBUST) for securing the CPPS. …”
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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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Enhancing fairness and efficiency in teacher placement based on staff placement model: an intelligent teacher placement selection model for Ministry of Education Malaysia
Published 2025“…This study proposes an Intelligent Teacher Placement Selection (ITPS) system based on a Staff Placement Model (SPM), expanding the attribute set to 27 by incorporating personal, staffing position, placement type, and human factors to enhance decision-making fairness. …”
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Innovating communication adaptation on social media using AI-based decision support systems
Published 2025“…Leveraging intelligent algorithms, the research investigates mechanisms that enable dynamic analysis and personalized recommendations to improve message clarity, relevance, and impact. …”
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Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki
Published 2014“…These results confirm that, for all the networks the Levenberg-Marquardt algorithm is the most effective algorithm to model the groundwater level. …”
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8
Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq
Published 2023“…To overcome these challenges, the current research aims to develop a SpatioTemporal Decision-Making (STDM) model based on Geospatial Artificial Intelligence (GeoAI) to locate onshore wind-solar hybrid plants. …”
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Apply and optimize machine learning algorithms for estimating battery health
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
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Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment
Published 2024thesis::master thesis -
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Hybrid harmony search-artificial intelligence models in credit scoring
Published 2019“…With the parallelization of MHS hybrid models, the computational time is effectively reduced, with RF hybrid models faster than SVM hybrid models. …”
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ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets
Published 2021“…The processed metadata is normalized for the easiness of algorithm analysis and modelled with machine learning-based latest deep learning ensemble LSTM algorithms for anomaly detection. …”
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Agent driven Peer-to-Peer Cloud Robotics
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The Random Tree standalone ML-AP relay model presented the best performing models from the ML-APS relay model with the best average performance for the correctly classified fault types of 97.61 % at 5 % significance level above other ML algorithms. …”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…The other way around, AI is a limb of Computer Science dedicated to developing systems that do what a human does intelligently. AI in healthcare has opened several breakthroughs in healthcare, especially in the management of CKD. …”
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Load shedding scheme based on meta-heuristic techniques and multi-criteria decision making for islanded distribution systems / Hazwani Mohd Rosli
Published 2024“…This study introduces a new Load Shedding Scheme (LSS) that incorporates advanced techniques to enhance system stability under adverse conditions. The proposed LSS utilizes discrete meta-heuristic techniques to intelligently select critical loads for shedding. …”
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Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…To this end, several models are proposed in the literature that are based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…To this end, several models are proposed in the literature that are based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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Toward Autonomous Farming - A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…To this end, several models are proposed in the literature that is based on a selected artificial intelligence (AI) algorithm which is once trained and then deployed. …”
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