Showing 41 - 60 of 259

41

APPLICATION OF MACHINE LEARNING IN PYTHON FOR AUTOMATION OF BUSINESS PROCESSES
Niyaz R. Galimullin ; Kamila B. Dakhkilgova
EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA. :62-68

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42

Optimizing PyFlink for high-throughput machine learning: Streaming feature engineering in banking
null SANDEEP PAMARTHI
World Journal of Advanced Engineering Technology and Sciences. 13:728-737

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43

Predictive analytics for banking risk management
Haj Youssef, Soumaya ; Sassi Hidri, Minyar

Selection des variables Financial crisis Predictive analytics Apprentissage automatiqu... Détection de surendettem... Features selection
Dissertation/ Thesis
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44

Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease
Network of Canadian Emergency Researchers (NCER) ; Canadian Emergency Department Research Network ; Canadian Instistutes of Health Research
Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease
McRae AD, Macci AJ, Holodinsky JK, Sajobi TT, Andruchow JE, Borgundvaag B, Brooks S, Cheng I, Deb S, Fok P, Kavsak PA, Graham MM, Lee J, McLeod SL, Scheuermeyer F, Thiruganasambandamoorthy V, Wiemer H, Yan JW, Hohl CM. Development of a Novel Risk-Prediction Tool for Emergency Department Patients with Symptoms of Coronary Artery Disease: A Research Study Protocol. CJC Open. 2025 Mar 26;7(6):777-783. doi: 10.1016/j.cjco.2025.03.016. eCollection 2025 Jun.

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45

Forecasting foreign exchange rate volatility using deep learning: Case of US dollar/Algerian dinar during the COVID-19 pandemic.
Naas, Meryem-Nadjat ; Zouaoui, Habib
Research Papers in Economics & Finance; 2024, Vol. 8 Issue 1, p91-114, 24p

FOREIGN exchange rates LONG short-term memory MARKET volatility RECURRENT neural network... DEEP learning COVID-19 pandemic
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46

Clinical Characteristics and Hypokalemia Risk Prediction in Patients With Hyperosmolar Hyperglycemic State and Diabetic Ketoacidosis (HHS-DKA): A Single-Center, Retrospective Observational Study.
Iwamoto Y ; Kimura T ; Morimoto Y ; et al.
Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE

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47

Risk Assessment Models for Protecting Automated Accounting Systems from Cyber Threats
null Md Rakibuzzaman ; null Sanjida Akter Sarna ; null Abdul Azeem Mohammed
Journal of Computer Science and Technology Studies. 7:698-721

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48

Forecasting Cryptocurrency Markets: Predictive Modelling Using Statistical and Machine Learning Approaches
Shafeeq Ur, Rahaman ; Patchipulusu, Sudheer ; Mahe Jabeen, Abdul
International Journal of Current Science Research and Review.

Currency forecasting, Fi...
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49

Portfolio Optimization Based on MPT-LSTM Neural Networks: A case study of Cryptocurrency Markets.
Zouaoui, Habib ; Naas, Meryem-Nadjat
Finance, Accounting & Business Analysis (FABA); 2025, Vol. 7 Issue 1, p82-98, 17p

ARTIFICIAL neural networ... LONG short-term memory MACHINE learning BEHAVIORAL economics PORTFOLIO performance
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50

POPs identification using simple low-code machine learning.
Xin L ; Yu H ; Liu S ; et al.
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: PubMed not MEDLINE; MEDLINE

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51

AI-Powered Banking in Revolutionizing Fraud Detection: Enhancing Machine Learning to Secure Financial Transactions
Prem Kumar Sholapurapu
South Eastern European Journal of Public Health; Volume XX 2023; 75-96 ; 2197-5248

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52

Back to the Futures: A Machine Learning Analysis of European Hedging and Cost of Capital
Welléus, Melker ; Murat, Jacob ; Welléus, Melker ; et al.

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53

Deep learning solution of optimal reinsurance‐investment strategies with inside information and multiple risks.
Peng, Fanyi ; Yan, Ming ; Zhang, Shuhua
Mathematical Methods in the Applied Sciences. Feb2025, Vol. 48 Issue 3, p2859-2885. 27p.

ARTIFICIAL neural networ... INTEREST rates STOCHASTIC differential... INSURANCE policies PARTIAL differential equ...
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54

Can financial markets help attain carbon goals? Evidence from systematic literature review, bibliometric analysis and topic modelling
Sustainability Accounting, Management and Policy Journal, 2024, Vol. 16, Issue 5, pp. 1169-1207.

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55

Risk Assessment Models for Protecting Automated Accounting Systems from Cyber Threats
Md Rakibuzzaman ; Sanjida Akter Sarna ; Abdul Azeem Mohammed ; et al.
Journal of Computer Science and Technology Studies; Vol. 7 No. 7; 698-721; 2709-104X

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56

Enhancing Financial Hedging Strategies through Modern Computational Methods
Universitat Politècnica de Catalunya. Departament de Matemàtiques ; Susín Sánchez, Antonio ; Trafí Ruiz, Miquel ; et al.

Electronic Resource
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57

Investment Weightings of Technology and Traditional Stocks: Investor Choice and Risk Management
Li Chenxing
SHS Web of Conferences, Vol 188, p 01007 (2024)

Social Sciences
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58

Enhancing banking governance: A machine learning-based credit risk classification
Karima Moumane ; Ikram El Asri ; Ilham Rharoubi ; et al.
Journal of Autonomous Intelligence. 7:1544

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59

Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default.
Teng, Huei-Wen ; Lee, Michael
Review of Pacific Basin Financial Markets & Policies. Sep2019, Vol. 22 Issue 3, pN.PAG-N.PAG. 27p. 1 Illustration, 5 Diagrams, 1 Chart, 8 Graphs.

DEFAULT (Finance) CREDIT cards CREDIT risk management MACHINE learning SUPPORT vector machines TAIWAN
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60

Corporation financial distress prediction with deep learning: analysis of public listed companies in Malaysia.
Halim, Zulkifli ; Shuhidan, Shuhaida Mohamed ; Sanusi, Zuraidah Mohd
Business Process Management Journal. 2021, Vol. 27 Issue 4, p1163-1178. 16p.

ARTIFICIAL neural networ... PUBLIC companies CREDIT analysis DECISION trees DEEP learning RECURRENT neural network...
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