A multi-level classification based ensemble and feature extractor for credit risk assessment [PDF]
PeerJ Computer ScienceWith the growth of people’s demand for loans, banks and other financial institutions put forward higher requirements for customer credit risk level classification, the purpose is to make better loan decisions and loan amount allocation and reduce the pre-
Yuanyuan Wang +4 more
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Joint loan risk prediction based on deep learning‐optimized stacking model [PDF]
Engineering ReportsIn recent years, China's automobile industry has undergone rapid development, creating new opportunities for the auto loan industry. Currently, auto financing companies are actively seeking to expand their cooperation with banks. Therefore, improving the
Yansong Wang +3 more
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Ultrasound-Assisted Extraction of Antioxidant Compounds from “Cẩm” Purple Rice Bran for Modulation of Starch Digestion [PDF]
, 2023 Purple rice, locally known as “Cẩm” rice, is cultivated in the southern region of Vietnam. The bran of “Cẩm” rice is often disregarded and underutilized; nevertheless, it harbours substantial nutritive value, particularly in terms of antioxidant ...
Le Thi Kim Loan +2 more
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Quantitative Model of Default Risk for Internet Financial Platform [PDF]
Jisuanji gongcheng, 2018 Aiming at the loan default behavior on the Internet financial platform,combining the canonical correlation analysis model and the complex network feature extraction method,the quantitative model of default risk is established,and the ROC curve and AUC ...
BAI Yunge,GUO Binghui,MI Zhilong,ZHENG Zhiming
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Designing and explaining the profit predictability assessment Model in Companies active in the financial industry [PDF]
ارزش آفرینی در مدیریت کسب و کار, 2023 The profit predictability of the company's future performance is based on accounting information. It uses the information obtained from these forecasts to determine the company's value from the point of view of users of financial statements.
zahra hammami +4 more
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Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model
Discrete Dynamics in Nature and Society, 2021 The credit card business has become an indispensable financial service for commercial banks. With the development of credit card business, commercial banks have achieved outstanding results in maintaining existing customers, tapping potential customers ...
Jing Gao, Wenjun Sun, Xin Sui
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Heavy metals extraction from anaerobically digested sludge [PDF]
, 2001 This paper reports on the chemical extraction efficiency in the removal of heavy metals from sludge from an activated-sludge system, which receives as influent both industrial and municipal wastewater.
M.M. Marchioretto +7 more
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The structure of the LDA theme extraction model. [PDF]
, 2023 Information asymmetry is widespread in the P2P online lending market, creating an imbalance in the position of lenders and borrowers. This paper aims to expand the process of information exchange between lenders and borrowers by analyzing the link ...
Jigan Wang (16949351) +3 more
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ocr-based text extraction algorithms for loan underwriting automation [PDF]
, 2023 LAUREA MAGISTRALEIl processo di creazione di una pratica di istruttoria per la concessione di prestiti e mutui richiede la raccolta di numerose informazioni da varie fonti documentali.
Polvanesi, Giacomo
core
Purification and Characterization of High Purity Nano Zirconia by Liquid-Liquid Extraction Using D2EHPA/p-Xylenes [PDF]
, 2022 In this paper, Zr(IV) nitrate solution decomposed from Viet Nam zircon concentrate was the source of zirconium extraction by liquid-liquid extraction (L.L.E). The FT-IR and UV-Vis spectra confirmed the extraction of Zr(IV) by D2EHPA/p-xylenes. There were
Thi To Loan Nguyen +9 more
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