To increase accuracy for the prediction of agriculture insurance claim cost based on crop data.Gradient Boosting Machine (LGBM) and linear regression models are tested with total Samples 6022 n=7 iterations to predict accuracy. LGBM works decision tree algorithm fitted equation. The coefficient determination values proposed (92.52%) (72.47%) obtained. There was a statistical significance betwee...

Visual information complexity of automotive head-up displays (HUDs) may increase cognitive load and reduce driver performance in critical situations. This study examined whether physiological indicators could predict the type HUD while driving. Physiological signals heart rate variability (HRV), electrodermal activity (EDA), skin temperature, pupil dilation were recorded from 28 participants us...

At present, the latest video coding standard is Versatile Video Coding (VVC). Although efficiency of VVC significantly improved compared to previous generation, High-Efficiency (HEVC), it also leads a sharp increase in complexity. improves HEVC by adopting quadtree with nested multi-type tree (QTMT) partition structure, which has been proven be very effective. This paper proposes low-complexity...

The accurate monitoring of forest cover and its changes are essential for environmental change research, but current satellite products coverage carry many uncertainties. This study used 30-m Landsat-8 data, aggregated 1-m GaoFen-2 (GF-2) images to construct the training samples multiple machine learning algorithms (MLAs) estimate fractional (FFC) in China’s Three North Region (TNR). In this st...

Abstract The threatening Coronavirus which was assigned as the global pandemic concussed not only public health but society, economy and every walks of life. Some measurements are taken to stifle spread one best ways is carry out some precautions prevent contagion SARS-CoV-2 virus uninfected populaces. Injecting prevention vaccines precaution steps under grandiose blueprint. Among all vaccines,...

Peer to peer lending is famous for easy and fast loans from complicated traditional institutions. Therefore, big data machine learning are needed credit risk analysis, especially potential defaulters. However, imbalance high computation have a terrible effect on prediction performance. This paper proposes stacking ensemble with features selection based embedded techniques (gradient boosted tree...

A visibility forecast model called a boosting-based fusion (BFM) was established in this study. The uses machine learning based on multisource data, including air pollutants, meteorological observations, moderate resolution imaging spectroradiometer (MODIS) aerosol optical depth (AOD) and an operational regional atmospheric environmental modeling System for eastern China (RAEMS) outputs. Extrem...