Showing 5,121 - 5,140 results of 7,164 for search 'NET information', query time: 0.14s Refine Results
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    Two-Stage Energy Economic Optimal Dispatch of Virtual Power Plant in Deregulated Electricity Market by Lihang ZHAO, Weiguang CHANG, Min YANG, Qiang YANG, Ganghua QIN

    Published 2022-10-01
    “…In the day-ahead stage, the optimal scheduling plan for the next day is formulated based on the forecasting information, and an agreement is signed with the day-ahead electricity market organizer. …”
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    Fitness costs associated with laboratory induced resistance to chlorpyrifos in Spodoptera litura by Meena Devi, Sunaina Sarkhandia, Arushi Mahajan, Harvinder Singh Saini, Sanehdeep Kaur

    Published 2024-12-01
    “…These results provide useful information for devising improved pest management strategies for CPF resistance in S. litura.…”
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    Wheat yield prediction in Andalucía using MERIS Terrestrial Chlorophyll Index (MTCI) time series by V. Egea-Cobrero, V. Rodriguez-Galiano, E. Sánchez-Rodríguez, M.A. García-Pérez

    Published 2018-06-01
    “…There is a relationship between net primary production of wheat and vegetation indices obtained from satellite imaging. …”
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    An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment by Julian R. Rice, G. Andrew Fricker, Jonathan Ventura

    Published 2025-08-01
    “…Specifically, we develop and train a novel PointNet-based neural network architecture to predict tree locations directly from LiDAR data augmented with multi-spectral imagery. …”
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    Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

    Published 2025-03-01
    “…Jude Algorithm for the Reconstruction of Accurate Cellular Networks (SJARACNe), Network-based Bayesian Inference of Drivers (NetBID2), and single-cell Mutual Information-based Network Engineering Ranger (scMINER) algorithms for network-based analysis. …”
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  14. 5134

    DESMITIFICANDO A LA DEEP WEB A TRAVÉS DE UN FUGAZ VIAJE POR LA DARK WEB by John Alexander Rico Franco

    Published 2021-01-01
    “…At the moment when topics related to the Deep Web and the darkNets are treated, the imagination of the one who doesn’tknow it’s reality, is projected towards a gloomy environment of the Internet, with the setting of a CiberPunk anime film ofthe nineties; activity that is completely logical and normal, because in search of covering the gaps in knowledge, peoplerefer to folk and fictional stories from multiple sources, in particular, television series, mystery novels, among otherproducts from science fiction; references that have a lot of exaggeration and rarely a bit of reality, which increases themyths concerning the Deep and Dark Webs; this is because most of the people take these fictitious references as realities,because these sectors of cyberspace are still a myth unexplored by the most of their casual navigators.This is why we seek to demystify the conception of the Deep Web and the darkNets and give clarity to a very interestingand dangerous online ecosystem at the same time, because in this mythical sector of cyberspace you can find largevolumes of useful information but also allows the free management of criminal commercial services. …”
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    Landslide susceptibility assessment using lightweight dense residual network with emphasis on deep spatial features by Shenghua Xu, Zhuolu Wang, Jiping Liu, Xinrui Ma, Tingting Zhou, Qing Tang

    Published 2025-04-01
    “…Additionally, to prevent vanishing gradient and improve the reuse rate of landslide feature information, dense connections are employed to construct a deep feature extraction module. …”
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    UAV-Based Structural Health Monitoring Using a Two-Stage CNN Model with Lighthouse Localization in GNSS-Denied Environments by Timothy Scott C. Chu, Joses Sorilla, Alvin Y. Chua

    Published 2025-06-01
    “… This study presents a UAV-based Structural Health Monitoring (SHM) system that combines Lighthouse localization with a two-stage CNN architecture—AlexNet for crack classification and YOLOv4 for segmentation—to enable reliable crack detection and spatial mapping in GNSS-denied environments. …”
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