Badan Pusat Statistik (BPS) mengkategorikan status rumah tangga miskin menjadi tiga yaitu Rumah Tangga Sangat Miskin (RTSM), (RTM), dan Hampir (RTHM). Mengklasifikasikan golongan desa Siney menggunakan metode Ordinal Class Classifier (OCC). OCC merupakan meta classifier yang dapat menghasilkan suatu kelas prediksi mengasumsikan nilai nominal. Penelitian ini data tersedia di kantor sebanyak 300 ...

Objective : to study the deep and skin temperatures of knee joint by microwave radiothermometry (RTM) in healthy girls comparable age pre- pubertal periods. Materials methods was carried out "Problem Scientific Laboratory Physical Methods Diagnosis Treatment" Rostov State Medical University children's health camp "Mir" (Krasny Desant village, region). It 45 aged 12 years, taking into account ge...

Reverse-time migration can accurately image complex geologic structures in anisotropic media. Extended images at selected locations in the earth, i.e. at commonimage-point gathers (CIPs), carry rich information to characterize the angle-dependent illumination and to provide measurements for migration velocity analysis. However, characterizing the anisotropy influence on such extended images is ...

Abstract. The direct radiative forcing efficiency of dust aerosol (DRFEdust) is an important indicator to measure the climate effect dust. DRFEdust determined by microphysical properties dust, which vary with source regions. However, there are only sparse in situ measurements them, such as distribution particle size and complex refractive index main Furthermore, recent studies have shown that n...

It has been claimed that intelligence causes academic achievement to increase over time, and also, conversely, time. This bidirectional facilitating longitudinal effect between rests on observed associations initial the change in an a subsequent measurement, vice versa. Here, we demonstrate, through simulating empirical data used previous research, such may be due regression toward mean rather ...

In engineering practice, ground penetrating radar (GPR) records are often hindered by clutter resulting from uneven underground media distribution, affecting target signal characteristics and precise positioning. To address this issue, we propose a method combining deep learning preprocessing reverse time migration (RTM) imaging. Our approach introduces novel framework for GPR clutter, enhancin...

Physically-based radiative transfer models (RTMs) help understand the interactions of radiation with vegetation and atmosphere. However, advanced RTMs can be computationally burdensome, which makes them impractical in many real applications, especially when many state conditions and model couplings need to be studied. To overcome this problem, it is proposed to substitute RTMs through surrogate...