Search Results - (( optical growth algorithm ) OR ( optical tree algorithm ))
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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).…”
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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).…”
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Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches
Published 2009“…In the first algorithm, packet scheduling is formulated as a tree-searching problem. …”
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Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery
Published 2017“…We used the dimensions of tree crowns detected in the imagery to estimate above-ground biomasses (AGBs) of individual trees and plots. …”
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QoS Forwarding on the Optical Internet Backbone Area Using R-IWDMTC Protocol
Published 2006“…(Extended via Multi-protocol Label Switching (MPLS)) provides connection-oriented setup and multicast tree construction control for Optical Internet data forwarding in the network backbone area. …”
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Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor
Published 2023“…The algorithms analyzed were generalized linear model (GLM), deep learning (DL), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). …”
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Model optimization using artificial intelligence algorithms for biological food waste degradation
Published 2020“…Growth of aerobic bacteria can be determined by measuring the optical density (OD) of the bacteria. …”
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Book Chapter -
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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models
Published 2024“…The development of the algorithms shows that Logistic Regression, SVM with Linear and Polynomial kernels performed the best with 95% accuracy, followed by SVM-RBF kernel, and KNN with 93% accuracy, Decision Tree with 90% accuracy, and lastly, SVM-Sigmoidal kernel with 83% accuracy. …”
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QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics
Published 2016“…Internet traffic has been increasing at a dramatic rate and the current optical network infrastructure may not be able to support the traffic growth in a few decades. …”
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Delineating mangrove forest zone using spectral reflectance
Published 2020“…To identify individual mangrove species, in-situ measurement was conducted using handheld optical sensors of spectroradiometer to examine the most effective wave bands and spectral regions for discriminating mangrove tree species. …”
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Mode division multiplexing zero forcing equalisation scheme using LU factorization
Published 2016“…At this rate, it is believed that the current technology in optical network will not able to handle this growth in the near future. …”
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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models
Published 2023“…The development of the algorithms shows that Logistic Regression, SVM with Linear and Polynomial kernels performed the best with 95 accuracy, followed by SVM-RBF kernel, and KNN with 93 accuracy, Decision Tree with 90 accuracy, and lastly, SVM-Sigmoidal kernel with 83 accuracy. …”
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Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects
Published 2025“…This review also elucidates the potential of machine learning and big data analytics algorithms in understanding the growth and interaction of microalgae strains as well as to aid in decision making, which can possibly encourage the participation of small-scale and large-scale farmers in microalgae cultivation. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…For this point, Horn-Schunck optical flow is used to get the flow vector for each pixel in the image frames. …”
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Absorption Coefficient of Bulk III-V Semiconductor Materials: A Review on Methods, Properties and Future Prospects
Published 2023“…Crystal structure; Energy gap; Genetic algorithms; III-V semiconductors; Optical properties; Solar power generation; Structural design; Absorption coefficients; Bulk growth; Bulk III-V semiconductors; Bulk semiconductors; Comparatives studies; Future prospects; Property; Quaternary; Semiconductor crystals; Ternary; Infrared devices…”
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Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph
Published 2021“…The second goal employs a deep learning(DL) algorithm to predict the best sensor for detection, either the LiDAR, optics or the fusion of the LiDAR and high-resolution aerial photography, to know which is most suitable for building detection with little or no user intervention. …”
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Thesis