Search Results - (( intelligence based crops algorithm ) OR ( intelligence valid drops algorithm ))
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1
An intelligent system based on kernel methods for crop yield prediction
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Feature-based face recognition system using utilized artificial neural network
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The third algorithm, named as Pro-Active Intelligence algorithm has inspired autonomous action triggering for each event interoperation, using a control action statement that is generated by SOAP packets required for joint execution of tasks among heterogeneous subsystems. …”
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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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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network
Published 2023“…This artificial intelligent call admission control (CAC) was validated using a dynamic WCDMA mobile network simulator. …”
Conference Paper -
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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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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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A real-time integrated fire detection and alarm (FDA) system for network based building automation
Published 2017“…Objectives: An integrated Fire Detection and Alarm (FDA) systems with building automation was studied, to reduce cost and improve their reliability by preventing false alarm, signal drop and network breakdown. This work proposes an improved framework for FDA system to ensure a robust, intelligent network of FDA control panels in real-time. …”
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic
Published 2023“…It employs fuzzy logic algorithms to continuously assess and adjust environmental factors. …”
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Undergraduates Project Papers -
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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“…In image post-processing, the necessary calculations are applied to get the diameter of the desired bolt, which involves the use of Hough Transformer and fitting circles searching process. The fuzzy logic-based decision-making algorithm is applied to the images resulting from the postprocessing stage in order to do a final decision on the diameter of the bolt/nut and approximate it to the nearest standards diameter. …”
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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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A framework for predicting oil-palm yield from climate data
Published 2006“…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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Conference or Workshop Item -
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Blood cell classification using deep learning
Published 2022“…As a result, the finalized model which consists of batch size of 16, learning rate of 0.0009, global pooling layer, 4 number of classes dropped to 3 number of classes and 3 dense layers achieved a testing accuracy of approximately 63% and validation accuracy of 99%.…”
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Final Year Project / Dissertation / Thesis -
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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
Published 2017“…Two back-propagation training algorithms, namely the Levenberg–Marquardt and Bayesian regularization algorithms, and the k-fold cross-validation technique, were employed to train the optimal networks using a training data set. …”
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Image watermarking optimization algorithms in transform domains and feature regions
Published 2012“…As a result,it will first introduce the theories about the feature extraction and the basic principles on how feature points can act as locating resynchronization between watermark insertion and extraction discussed in detail.Subsequently,it will present several content-based watermark embedding and extraction methods which can be directly implemented based on the synchronization scheme.Further detailed watermarking schemes which combine feature regions extraction with counter propagation neural network-based watermarks synapses memorization are then presented.The performance of watermarking schemes based on framework of feature point shows the following advantages:a)Good imperceptibility. …”
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Thesis -
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context
Published 2018“…The hybrid energy management algorithm-based the PLC signal was developed using the MATLAB. …”
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