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Cabbage disease detection system using k-NN algorithm
Published 2022“…It is a method of extracting second-order statistical texture features to detect diseases more efficiently. Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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Academic Exercise -
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Monkeypox disease detection using Convolutional Neural Network (CNN) / Nur Farhain Humaira Ghanami
Published 2024“…The project is to study the CNN algorithm and develop a prototype to evaluate the accuracy of monkeypox disease detection using CNN. …”
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Optimizing high-density aquaculture rotifer Detection using deep learning algorithm
Published 2022“…In this paper, we present the method and performance to detect rotifer Brachionus plicatilis in 1ml sample automatically using deep learning algorithm YOLOv3. …”
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Design and development of latex mark visual detection system
Published 2025“…The vital parts in developing a highly efficient latex former defect detection model include designing a mechanical frame structure and developing and evaluating a deep learning model. …”
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Investigation Of Electrical Capacitance Tomography For Agarwood Detection
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Malicious URL classification using artificial fish swarm optimization and deep learning
Published 2023“…With this motivation, the current article develops an Artificial Fish Swarm Algorithm (AFSA) with Deep Learning Enabled Malicious URL Detection and Classification (AFSADL-MURLC) model. …”
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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Spotted hyena optimizer with deep learning driven cybersecurity for social networks
Published 2023“…Recent developments on Internet and social networking have led to the growth of aggressive language and hate speech. …”
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Decision support system for optimal design and operation of ponds for watershed runoff management
Published 2010“…A watershed runoff management decision support system model (WARM-DSS) was developed to maintain the future development rate with concern for mitigation of its impact to the environment and water quantity. …”
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Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues
Published 2015“…In oil palm industry, large quantity of oil palm trunk (OPT) and palm oil mill effluent (POME) are generated. …”
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Improvement of xylanase production by recombinant Escherichia coli DH5α using fed-batch fermentation
Published 2011“…Very low residual glucose (0.004 g L-1) and very small quantity of acetic acid was detected throughout this fermentation run. …”
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