Resultados de búsqueda - Network computers.

  1. Investigating genetic variability within specific indigenous Indonesian cattle breeds por Mannich Uggla, Camilla

    Publicado 2008
    “…In the median joining network the sequences with Bos indicus origin grouped into two star-like clusters with predominant haplotypes in the centres. …”
    Enlace del recurso
    Otro
  2. 3D-printing of undisturbed soil imaged by X-ray por Bacher, Matthias

    Publicado 2013
    “…An artificial soil pore network can help to analyse preferential macropore flow which is important for pollutant leaching and degradation in the environment. …”
    H2
  3. Soil erosion and sediment load management strategies for sustainable irrigation in arid regions por Bhatti, Muhammad Tousif, Ashraf, M., Anwar, Arif A.

    Publicado 2021
    “…The proposed settling reservoir is simulated using a computer-based sediment transport model. The modeling results suggest that a settling reservoir can reduce sediment entry into the irrigation network by trapping 95% and 25% for sand and silt particles, respectively. …”
    Enlace del recurso
    Journal Article
  4. MusaDeepMosaic: Development of a machine learning genomic mosaic classifier tool. por Vicens, Romain, Cenci, Alberto, Guillaume, Martin, Sardos, Julie, Rouard, Mathieu, Breton, Catherine

    Publicado 2024
    “…The ResNet-50 model, a 50-layer deep convolutional neural network introduced in 2015 for image recognition, was utilized in this study. …”
    Enlace del recurso
    Póster
  5. Modelling rankings in R: the PlackettLuce package por Turner, Heather L., Etten, Jacob van, Firth, David, Kosmidis, Ioannis

    Publicado 2020
    “…By default, the implementation adds a set of pseudo-comparisons with a hypothetical item, ensuring that the underlying network of wins and losses between items is always strongly connected. …”
    Enlace del recurso
    Journal Article
  6. Beyond the hype: Mobile phones and the web to improve agricultural value chains por Mundy, Paul, Addom, Benjamin K., Bheenick, Krishan

    Publicado 2017
    “…A smartphone is a wonderful thing. This miniature computer in our pockets is changing the way we live, how we get information and communicate with each other. …”
    Enlace del recurso
    Brief
  7. Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions por Ofosu-ampong, Kingsley

    Publicado 2024
    “…While there have been increasing technological issues with artificial intelligence, the three identified areas of security concern are data security, model security and network security. Furthermore, the review found that contemporary AI, which continually drives the boundaries of computational capabilities to tackle increasingly intricate decision-making challenges, distinguishes itself from earlier iterations in two primary aspects that significantly affect organisational learning in dealing with AI's potential: autonomy and learnability. …”
    Enlace del recurso
    Journal Article
  8. Patterns of crop evaporation in the Indus Basin, recognized from the NOAA-AVHRR Satellite por Bastiaanssen, Wim G.M., Chemin, Yann H., Ahmad, Mobin-ud-Din, Asif, S.

    Publicado 1999
    “…This paper shows a method to compute consumptive use and soil water availability based on public domain satellite remote sensing data. …”
    Enlace del recurso
    Conference Paper
  9. The role of ICT on agricultural knowledge management in Ethiopia: a case study on Woreda knowledge centers in Bure, Goma, Alaba and Alamata por Lemma, F.

    Publicado 2009
    “…The study indicated that the role of ICT in the WKCS is moderate. Due to lack of computer basic skills, shortage of ICT tools and others, there are many challenges that have to be given solutions. …”
    Enlace del recurso
    Tesis
  10. Introduction of monitoring activities at the main-canal level: a study of the Kirindi Oya right bank main canal - Maha 1991/92 por Rey, J., Hemakumara, M., Mohanrajah, S., Junaid, M.H.

    Publicado 1993
    “…Thus, ideas suggesting how to use simple flow data to compute indicators and derive management information has been preferred to the in-depth analysis of the data. …”
    Enlace del recurso
    Artículo preliminar
  11. A mobile-based deep learning model for cassava disease diagnosis por Ramcharan, A., McCloskey, P., Baranowski, K., Mbilinyi, N., Mrisho, L., Ndalahwa, M., Legg, James P., Hughes, D.P.

    Publicado 2019
    “…Convolutional neural network (CNN) models have the potential to improve plant disease phenotyping where the standard approach is visual diagnostics requiring specialized training. …”
    Enlace del recurso
    Journal Article
  12. Applying FAIR Principles to plant phenotypic data management in GnpIS por Pommier, C., Michotey, Célia, Cornut, Guillaume, Roumet, P., Duchêne, E., Flores, R., Lebreton, A., Alaux, M., Durand, S., Kimmel, E., Letellier, T., Merceron, G., Laine, M., Guerche, C., Loaec, M., Steinbach, D., Laporte, Marie-Angélique, Arnaud, Elizabeth, Quesneville, H., Adam-Blondon, Anne-Françoise

    Publicado 2019
    “…GnpIS allows handling data for a wide range of species and experiment types, including multiannual perennial plants experimental network or annual plant trials with either raw data, i.e., direct measures, or computed traits. …”
    Enlace del recurso
    Journal Article

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