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    Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

    Published 2025
    “…This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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    Article
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    A transparent data-driven method for stability-constrained load restoration considering multi-phase load dynamics by Xie, Dunjian, Xu, Yan, Nadarajan, Sivakumar, Viswanathan, Vaiyapuri, Gupta, Amit Kumar

    Published 2023
    “…A transparent data-driven method based on optimal decision trees is developed to address all the short-term stability criteria (including frequency, voltage, and transient stability) considering the inrush phase of load dynamics. …”
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    Journal Article
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    Effects of soil management practices on soil fauna feeding activity in an Indonesian oil palm plantation by Tao, H-H, Slade, E, Willis, KJ, Caliman, J-P, Snaddon, JL

    Published 2015
    “…Optimizing the use of available soil management practices in oil palm plantations is crucial to enhance long-term soil fertility and productivity. However, this needs a thorough understanding of the functional responses of soil biota to these management practices. …”
    Journal article
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    Marketing products and services in the dynamic environment. by Chan, Cindy Li Xia., Chye, Nyit Fhen., Poh, Hui Ting.

    Published 2011
    “…The management is optimistic that our marketing proposal will engender long-term returns and has expressed intent on engaging the team to assist in its execution in the likely scenario that they proceed with plan.…”
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    Final Year Project (FYP)
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    Predicting Outcomes of Preterm Neonates Post Intraventricular Hemorrhage by Vignolle, Gabriel A., Bauerstätter, Priska, Schönthaler, Silvia, Nöhammer, Christa, Olischar, Monika, Berger, Angelika, Kasprian, Gregor, Langs, Georg, Vierlinger, Klemens, Goeral, Katharina

    Published 2024
    “…Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorrhagic ventricular dilatation (PHVD), a severe complication that can impact survival and long-term outcomes. Early detection of PHVD before clinical onset is crucial for optimizing therapeutic interventions and providing accurate parental counseling. …”
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    Article
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    Precious metal price prediction using deep neural networks by Peng, Zhiling

    Published 2021
    “…In this project, the predicting model proposed by Vidya and Hari [1] is reproduced, using the long short-term memory (LSTM) network model. The results we obtain are roughly the same as those observed by Vidya and Hari. …”
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    Thesis-Master by Coursework
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    Understanding sudden larch death – from epidemiology to host resistance by Dun, H

    Published 2021
    “…Older stands with >95% mortality had occasional very healthy trees at least seven years after first reported infection. …”
    Thesis
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    Pylon model for semantic segmentation by Lempitsky, V, Vedaldi, A, Zisserman, A

    Published 2012
    “…In the paper we show that if, instead of a flat partitioning, the image is represented by a hierarchical segmentation tree, then the resulting energy combining unary and boundary terms can still be optimized using graph cut (with all the corresponding benefits of global optimality and efficiency). …”
    Conference item
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    A general and efficient representation of ancestral recombination graphs by Wong, HY, Ignatieva, A, Koskela, J, Gorjanc, G, Wohns, AW, Kelleher, J

    Published 2024
    “…As a result of recombination, adjacent nucleotides can have different paths of genetic inheritance and therefore the genealogical trees for a sample of DNA sequences vary along the genome. …”
    Journal article
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    Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

    Published 2019
    “…Recent studies have investigated the possibilities of proactively detecting FmDI attacks on smart grid CPSs by using D-FACTS devices. We term this approach as proactive false data detection (PFDD). …”
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    Thesis