Search Results - (( intelligence based m algorithm ) OR ( intelligence based leaf algorithm ))
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Disease detection of solanaceous crops using deep learning for robot vision
Published 2022“…In addition, the output of this study is expected to become the algorithm of the robot's vision. This study uses images of four crops (tomato, potato, eggplant, and pepper), including 23 classes of healthy and diseased crops infected on the leaf and fruits. …”
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Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach
Published 2024Conference Paper -
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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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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Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…To do this, at first, based on the proposed algorithm,the physiological dimensions of leaves are automatically measured and with regard to these parameters, specified features such as shape, morph, texture and colour are extracted from the image of the plant leaf through image processing to create a reserved feature database to be used for different species of plants. …”
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Machine learning in medicinal plants recognition: a review
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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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Power system stabilization based on artificial intelligent techniques: a review
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