Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (3)
  • Open Access

    ARTICLE

    Spatio-Temporal Dynamics of Land Use in Cotton and Cereal Production Zones, Mali

    Dynamiques Spatio-Temporelles de l’Occupation des Terres dans les Zones de Production Cotonnière et Céréalière au Mali

    Moumouni Sidibé1,2,*, Augustin K. N. Aoudji1, Yaya Issifou Moumouni3,*, Issa Sacko4, Idelphonse Saliou1, Bourema Koné2, Achille Ephrem Assogbadjo5, Afio Zannou1

    Revue Internationale de Géomatique, Vol.33, pp. 51-76, 2024, DOI:10.32604/rig.2024.045505

    Abstract Land use dynamics is a prerequisite for identifying natural resource management constraints, the evolution of agrarian practices and population growth. The objective of this research is to improve knowledge of the dynamics of agricultural land use in the dryland (Cinzana) and cotton (Kléla) areas of Mali. The methodology used consisted of planimetric data collection and diachronic analysis using Landsat TM (Thematic Mapper) satellite images from 2000 and OLI (Operational Land Image) from 2020. Degradation and deforestation rates of natural formations were calculated on the one hand, and on the other hand, the speed and intensity of changes were evaluated using… More > Graphic Abstract

    Spatio-Temporal Dynamics of Land Use in Cotton and Cereal Production Zones, Mali<br/><br/>Dynamiques Spatio-Temporelles de l’Occupation des Terres dans les Zones de Production Cotonnière et Céréalière au Mali

  • Open Access

    ARTICLE

    Time Highlighted Multi-Interest Network for Sequential Recommendation

    Jiayi Ma, Tianhao Sun*, Xiaodong Zhang

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3569-3584, 2023, DOI:10.32604/cmc.2023.040005

    Abstract Sequential recommendation based on a multi-interest framework aims to analyze different aspects of interest based on historical interactions and generate predictions of a user’s potential interest in a list of items. Most existing methods only focus on what are the multiple interests behind interactions but neglect the evolution of user interests over time. To explore the impact of temporal dynamics on interest extraction, this paper explicitly models the timestamp with a multi-interest network and proposes a time-highlighted network to learn user preferences, which considers not only the interests at different moments but also the possible trends of interest over time.… More >

  • Open Access

    ARTICLE

    Spatio-Temporal Dynamics and Structure Preserving Algorithm for Computer Virus Model

    Nauman Ahmed1,2, Umbreen Fatima1, Shahzaib Iqbal1, Ali Raza3, Muhammad Rafiq4,*, Muhammad Aziz-ur-Rehman2, Shehla Saeed1, Ilyas Khan5, Kottakkaran Sooppy Nisar6

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 201-212, 2021, DOI:10.32604/cmc.2021.014171

    Abstract The present work is related to the numerical investigation of the spatio-temporal susceptible-latent-breaking out-recovered (SLBR) epidemic model. It describes the computer virus dynamics with vertical transmission via the internet. In these types of dynamics models, the absolute values of the state variables are the fundamental requirement that must be fulfilled by the numerical design. By taking into account this key property, the positivity preserving algorithm is designed to solve the underlying SLBR system. Since, the state variables associated with the phenomenon, represent the computer nodes, so they must take in absolute. Moreover, the continuous system (SLBR) acquires two steady states… More >

Displaying 1-10 on page 1 of 3. Per Page