UTILIZING ARTIFICIAL NEURAL NETWORKS AND RANDOM FORESTS TO FORECAST THE DYNAMIC AMPLIFICATION FACTORS OF NON-STRUCTURAL COMPONENTS

Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components

Soft stories in buildings are well-known to present structural vulnerabilities during seismic events, and the failure of non-structural components (NSCs) has been evident in past earthquakes, along with structural damage.This study seeks to investigate how the presence of a soft story in a building affects the criteria Genshin Impact for elastic fl

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Identifikasi Kecurangan Laporan Keuangan Menggunakan Fraud Pentagon (Studi Empiris Perusahaan Jasa Yang Terdaftar Di Bursa Efek Indonesia)

Kecurangan laporan keuangan merupakan permasalahan yang masih menjadi tema hangat untuk diperbincangkan, terlebih dengan mencuatnya kasus manipulasi laporan keuangan yang terjadi beberapa tahun belakangan ini.Tindakan fraud pada laporan keuangan saat ini semakin meningkat.Dampak dari tindakan tersebut Coils tidak hanya dirasakan oleh para investor

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LACTIC FLORA-LISTERIA MONOCYTOGENES INTERACTION

The EC Regulation 2073/2005 (1) requires that food processors evaluate the capability of ready-to-use (RTE) products to FULL SPECTRUM PLANT ENZYMES support the development of Listeria monocytogenes when their pH and aW values are favourable to the growth of this microorganism.It is renown that the lactic flora plays an important role in many differ

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Energy Purchasing Strategy of Electricity Retailer Considering the Responsibility of Renewable Energy Consumption

As one of the major players in electricity trading, the electricity retailer should actively undertake the responsibility of consuming renewable energy.To analyze the influence of the renewable portfolio standard (RPS) on electricity retailers, this paper constructed a new portfolio investment model of energy FULL SPECTRUM PLANT ENZYMES purchasing.

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