Precise reference crop evapotranspiration (ET0) estimation plays a key role in agricultural fields as it aids the proper operation and management of irrigation scheduling. However, reliable ET0 poses challenge when there is insufficient or incomplete long-term meteorological data at East Coast Economic Region (ECER), Malaysia, where economy highly dependent on production. This study evaluated p...

Based on big data, we can build a regression model between temperature field and temperature-induced deflection to provide control group representing the service performance of bridges, which has positive effect full life cycle maintenance bridges. However, spatial information cable-stayed bridge is difficult describe. To establish with high precision, improved PCA-LGBM (principal component ana...

The management of water resources depends heavily on hydrological prediction, and advances in machine learning (ML) present prospects for improving predictive modelling capabilities. This study investigates the use a variety widely used algorithms, such as CatBoost, ElasticNet, k-Nearest Neighbors (KNN), Lasso, Light Gradient Boosting Machine Regressor (LGBM), Linear Regression (LR), Multilayer...

Here, a comparative investigation of data-driven, physics-based, and hybrid models for the fatigue lifetime prediction structural adhesive joints in terms complexity implementation, sensitivity to data size, accuracy is presented. Four data-driven (DDM) are constructed using extremely randomized trees (ERT), eXtreme gradient boosting (XGB), LightGBM (LGBM) histogram-based (HGB). The physics-bas...

ABSTRACT: Reflectance measurements of plants the same species can produce sets data with differences between spectra, due to factors that be external plant, like environment where plant grows, and internal factors, for different varieties. This paper reports results analysis radiometric performed on leaves vines several grape varieties sites. The objective research was, after application techni...

This study aims to provide an efficient and accurate machine learning (ML) approach for predicting the creep behavior of concrete. Three ensemble (EML) models are selected in this study: Random Forest (RF), Extreme Gradient Boosting Machine (XGBoost) Light (LGBM). Firstly, data Northwestern University (NU) database is preprocessed by a prebuilt XGBoost model then split into training set testing...

صفحه‌­ی مینیاتوری LEU پرتودهی شده در رآکتور تحقیقاتی تهران که برای تولید رادیوایزوتوپ مولیبدن-99 استفاده می‌شود، منبع پرتوزایی متشکل از رادیوایزوتوپ‌های مختلف است. محاسبه و تخمین آهنگ دز تابش‌های گامای گسیلی این منبع، به منظور مقایسه با مقادیر مجاز توصیه حمل‌ونقل مواد پرتوزا حفاظت پرتویی کارکنان حین انجام تست‌های آزمایشگاهی داغ، پیش هر اقدام عملی، امری ضروری مقاله، اعتبار یک روش پیشنهادی جهت هد...

Barium stars are chemically peculiar that exhibit enhancement of s-process elements. Chemical abundance analysis barium can provide crucial clues for the study chemical evolution Galaxy. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has released more than 6 million low-resolution spectra FGK-type by Data Release 9 (DR9), which significantly increase sample size stars. I...

For indoor air modelling, difficulties in collecting parameters including life activity patterns and building characteristics are dilemmas when conducting a large-area study. Land-use/land cover information which is easier to obtain could represent as surrogates of emission sources for assessing quality. Moreover, low-cost sensors machine learning provide better way enhance model accuracy. This...