Search Results - "Monterola, Christopher P."

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  1. 1

    A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers by Ibañez, Sebastian C., Monterola, Christopher P.

    Published in Agriculture (Basel) (01-09-2023)
    “…Accurate prediction of crop production is essential in effectively managing the food security and economic resilience of agricultural countries. This study…”
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    Journal Article
  2. 2

    Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines by Ibañez, Sebastian C., Dajac, Carlo Vincienzo G., Liponhay, Marissa P., Legara, Erika Fille T., Esteban, Jon Michael H., Monterola, Christopher P.

    Published in Water (Basel) (01-01-2022)
    “…Forecasting reservoir water levels is essential in water supply management, impacting both operations and intervention strategies. This paper examines the…”
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    Journal Article
  3. 3

    Complex network tools in building expert systems that perform framing analysis by Legara, Erika Fille T., Monterola, Christopher P., David, Clarissa

    Published in Expert systems with applications (01-09-2013)
    “…► We demonstrate a novel framing analysis technique based on complex networks approach. ► The proposed procedure is compared with human-based and syntactic…”
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    Journal Article
  4. 4

    Noise-induced synchronization in a lattice Hodgkin–Huxley neural network by Pang, James Christopher S., Monterola, Christopher P., Bantang, Johnrob Y.

    Published in Physica A (01-01-2014)
    “…We examine how the synchronization of the series of action potentials (APs) of realistic neurons interconnected in a lattice is influenced by variations of…”
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    Journal Article
  5. 5

    Loss of criticality in the avalanche statistics of sandpiles with dissipative sites by Paguirigan, Antonino A., Monterola, Christopher P., Batac, Rene C.

    “…•Sinks, nonconservative elements that dissipate energy, are spatially distributed in the sandpile grid.•Increased sink densities affect both driving and…”
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  6. 6

    Generalized Cross Entropy Method for estimating joint distribution from incomplete information by Xu, Hai-Yan, Kuo, Shyh-Hao, Li, Guoqi, Legara, Erika Fille T., Zhao, Daxuan, Monterola, Christopher P.

    Published in Physica A (01-07-2016)
    “…Obtaining a full joint distribution from individual marginal distributions with incomplete information is a non-trivial task that continues to challenge…”
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  7. 7
  8. 8

    Causal network inference in a dam system and its implications on feature selection for machine learning forecasting by Javier, Prince Joseph Erneszer A., Liponhay, Marissa P., Dajac, Carlo Vincienzo G., Monterola, Christopher P.

    Published in Physica A (15-10-2022)
    “…A fundamental goal across many research fields is to explain possible mechanisms behind a phenomenon and infer the correct causal relationships between…”
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  9. 9

    Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio city by Liponhay, Marissa P., Valerio, Alyssa V., Monterola, Christopher P.

    Published in Atmospheric pollution research (01-06-2024)
    “…Air pollution contributes significantly to climate change and has recently become a significant concern. Previous studies on the interplay between air quality…”
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  10. 10

    Dendritic growth model of multilevel marketing by Pang, James Christopher S., Monterola, Christopher P.

    “…Highlghts•The complexity and inherent dynamics of multilevel marketing (MLM) is introduced.•A greedy branching model is used to capture the observed tree-like…”
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    Journal Article