Interpretable machine learning model for shear wave estimation in a carbonate reservoir using LightGBM and SHAP: a case study in the Amu Darya right bank [PDF]
Frontiers in Earth Science, 2023 The shear wave velocity (Vs) is significant for quantitative seismic interpretation. Although numerous studies have proved the effectiveness of the machine learning method in estimating the Vs using well-logging parameters, the real-world application is ...
Tianze Zhang +5 more
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PM2.5 Concentration Prediction Based on LightGBM Optimized by Adaptive Multi-Strategy Enhanced Sparrow Search Algorithm [PDF]
Atmosphere, 2023 The atmospheric environment is of great importance to human health. However, its influencing factors are complex and variable. An efficient technique is required to more precisely estimate PM2.5 concentration values.
Xuehu Liu +3 more
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An Improved LightGBM Algorithm for Online Fault Detection of Wind Turbine Gearboxes
Energies, 2020 It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in dealing with big data collected from wind turbine operations.
Mingzhu Tang, Steven X Ding, Huawei Wu
exaly +3 more sources
Jurnal Teknologi dan Manajemen InformatikaEvaluating coffee quality through sensory cupping is essential but inherently subjective, as scoring depends on the consistency and expertise of professional panelists.
Arya Rezagama Sudrajat +2 more
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Pressure Drop Prediction in Fluidized Dense Phase Pneumatic Conveying using Machine Learning Algorithms [PDF]
Journal of Applied Fluid Mechanics, 2023 Modeling of pressure drop in fluidized dense phase conveying (FDP) of powders is a tough work as the flow comprises of various interactions among solid, gas and pipe wall. It is difficult to incorporate these interactions into a model.
J. s. Shijo, N. Behera
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A simple but effective method for Indonesian automatic text summarisation
Connection Science, 2022 Automatic text summarisation (ATS) (therein two main approaches–abstractive summarisation and extractive summarisation are involved) is an automatic procedure for extracting critical information from the text using a specific algorithm or method.
Nankai Lin, Jinxian Li, Shengyi Jiang
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Ensemble machine learning approaches for fake news classification
Радіоелектронні і комп'ютерні системи, 2023 In today’s interconnected digital landscape, the proliferation of fake news has become a significant challenge, with far-reaching implications for individuals, institutions, and societies.
Halyna Padalko +3 more
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Stock Price Time Series Data Forecasting Using the Light Gradient Boosting Machine (LightGBM) Model
JOIV: International Journal on Informatics Visualization, 2023 In the world of stock investment, one of the things that commonly happens is stock price fluctuations or the ups and downs of stock prices. As a result of these fluctuations, many novice investors are afraid to play stocks.
Anggit Dwi Hartanto +2 more
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Mathematical Biosciences and Engineering, 2022 Background: Polygenic risk score (PRS) can evaluate the individual-level genetic risk of breast cancer. However, standalone single nucleotide polymorphisms (SNP) data used for PRS may not provide satisfactory prediction accuracy.
Jianqiao Pan +6 more
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An Alternative Cross Entropy Loss for Learning-to-Rank
, 2021 Listwise learning-to-rank methods form a powerful class of ranking algorithms that are widely adopted in applications such as information retrieval. These algorithms learn to rank a set of items by optimizing a loss that is a function of the entire set --
Bruch, Sebastian
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