Search Results - intelligence based ((crops algorithm) OR (((window algorithm) OR (learning algorithm))))
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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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Chili crop segregation system design and development strategies
Published 2021“…Besides, the analysis of different methods to extract the chili color based on the RGB color component was included. This paper focused more on the Machine Learning (ML) technique, which is the main component of Artificial Intelligence. …”
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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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An intelligent system based on kernel methods for crop yield prediction
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…One of these definitions describes AI as the utilization of automated algorithms, robotics, or machines that mimic human cognitive functions, enabling them to perform tasks such as learning, identifying, analyzing, and problem-solving (Graham et al., 2020). …”
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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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Feature-based face recognition system using utilized artificial neural network
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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments
Published 2006“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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Implementation of an intelligent SINS navigator based on ANFIS
Published 2009“…As in previous work, which is based on Artificial Neural Network, the window based weight updating strategy was used, and the intelligent navigator evaluated using several SINS hypothetical field tests data. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
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Development of an intelligent prediction tool for rice yield based on machine learning techniques
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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Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…Based on the design of modeling elements of Luoshan shadow puppets, this paper analyzes the characteristics of visual elements of shadow puppet creative goods, puts forward an intelligent design algorithm of shadow puppet creative goods based on DL, and explores the computer-aided shadow puppets modeling design strategy driven by artificial intelligence. …”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…The proposed technique was evaluated using the publicly available epileptic seizure data from the machine learning repository of the UCI center for machine learning and intelligent systems. …”
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed
Published 2024Subjects:Conference Paper -
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Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…The application of artificial intelligence techniques (e.g., machine learning and deep learning) in medical science is becoming increasingly important for intelligently transforming all available information into valuable knowledge. …”
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