Search Results - (( intelligence based crops algorithm ) OR ( intelligence based m algorithm ))
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An intelligent system based on kernel methods for crop yield prediction
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An intelligent adjustable spanner for automated engagement with multi-diameter bolts/nuts during tightening/loosening process using vision system and fuzzy logic
Published 2018“…Three bolts sizes are used in the experiments, namely M4, M4 with dust; M5; and M6 which are tested with 80 samples (20 for each). …”
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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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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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Feature-based face recognition system using utilized artificial neural network
Published 2010Get full text
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Solving university examination timetabling problem using intelligent water drops algorithm
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Classification and detection of intelligent house resident activities using multiagent
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Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
Published 2018“…The experimental results show that the proposed algorithm has a target tracking error of 0.5 m to 1 m, and the tracking result has high precision…”
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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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Implementation of an intelligent SINS navigator based on ANFIS
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Empirical studies of metaheuristic algorithms performance demonstrated that the hybrid metaheuristic algorithms-artificial neural network outperformed the gradient-based artificial neural network (RMSE=113.92 m3/s) for streamflow forecasting, notably with the firefly approach, with an average RMSE=96.06 m3/s. …”
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