Search Results - (( intelligence based crops algorithm ) OR ( intelligence based aims algorithm ))
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Feature-based face recognition system using utilized artificial neural network
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An intelligent system based on kernel methods for crop yield prediction
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Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.
Published 2005“…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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Active intelligent control of vibration of flexible plate structures
Published 2011“…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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Chili crop segregation system design and development strategies
Published 2021“…An automation process is a need in the agricultural industry specifically chili crops, that implemented image processing techniques and classification of chili crops usually based on their color, shape, and texture. …”
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Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
Published 2015“…Pertama, algoritma TAC yang diubahsuai, diperkenalkan. The Intelligent Water Drop (IWD) algorithm is a swarm-based model that is useful for undertaking optimization problems. …”
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Disease detection of solanaceous crops using deep learning for robot vision
Published 2022“…This object detection-based approach has proven to be a promising solution in efficiently detecting crop disease in real-time.…”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…However, the typical yields are only 50–60% of the potential, and artificial intelligence research on modelling of the crop yield and energy consumption is still at its infancy. …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The aim of the research is to introduce novel form of swarm intelligence algorithms based on real echolocation behaviour of bats. …”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…The dissertation aims to develop an effectively decomposed time-series nongradient- based artificial intelligence model for forecasting a time-series regression machine learning task. …”
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Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm
Published 2024“…IWD is a recent metaheuristic population-based algorithm belonging to swarm intelligent category which simulate river system. …”
Proceedings Paper -
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Research on the construction of English intelligent classroom based on Artificial Intelligence
Published 2018“…Aiming at prompting efficiency and effectiveness of English teaching, establishment of integrated English teaching intelligent classroom based on artificial intelligence is discussed in this paper. …”
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…These two algorithms are compared to their original artificial intelligence algorithms, i.e. particle swarm optimization algorithm and genetic algorithm. …”
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…The proposed AI-based predictive algorithm aimed to provide predictive insights and interpret the impact of significant economic, environmental, and social clustered determinants on electricity consumption in Malaysia. …”
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