Risk Analysis Based Data (33 results)

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paperback. Condition: New. Paperback. Pub Date: 2023-09 Pages: 228 Language: Chinese Publisher: China Business Press Small and micro enterprises play an important role in improving the stability and competitiveness of the industrial chain and supply chain. and in facilitating production and circulation. At the same time. small and micro enterprises are the main force in absorbing employment. and are also the key link affecting the distribution and consumption links. Starting from multi-source data. this book aims at cr.…

Taschenbuch. Condition: Neu. Performance-based Financing And Audit Risk | Analysis Of Gaps Between Verified Data And Data (Case Of Dps. Haut- Lomami/ Rd. Congo) | Alain Robert Makaba N'Goyi | Taschenbuch | Englisch | 2023 | Our Knowledge Publishing | EAN 9786206524113 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New. Chongfu Huang, President of Society for Risk Analysis - China, is a full professor at Beijing Normal University. He received his Ph.D. in Applied Mathematics from Beijing Normal University in 1993. As an advisor, he served for the Beijin.

Paperback. Condition: Brand New. 708 pages. 9.69x6.88x1.65 inches. In Stock.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-06 Pages: 376 Publisher: China Finance and Economics Press. This book. based on the background of my country's continued deepening and expansion of financial market opening-up in the new economic era. elaborates on the connotation of provincial financial security and the relationship between financial security and financial risk. On this basis. it comprehensively summarizes and analyzes the main characteristics of provincial economic development and .…

Taschenbuch. Condition: Neu. Data-Driven Models for COVID-19 Severity Analysis in Comorbid Patients | An AI-Based Clinical Risk Assessment Approach | Suresh Kumar H S (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209063152 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

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Hardcover. Condition: New. HardCover.Pub Date:2022-08 Pages:354 Language:Publisher:Southwest Jiaotong University PressAccording to statistics on power transmission line failures in Yunnan Province for many years. lightning tripping is one of the major hidden dangers affecting the safe operation of transmission lines. With the promotion and application of lightning location systems in power grids. a large amount of lightning ground-to-ground lightning activity data has been accumulated. including: lightning strike locat.…

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Condition: New. 1st edition NO-PA16APR2015-KAP.

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paperback. Condition: New. Paperback. Pub Date: 2023-08-01 Pages: 838 Language: Chinese Publisher: Science Press Corporate Credit Rating and Default Risk Prediction Based on Big Data - Construction of Credit Index and Credit Characteristics Analysis of Chinese Listed Companies takes corporate credit rating and default risk prediction based on big data as the research object; takes the construction of credit index and credit characteristics analysis of Chinese listed companies as the application exploration; takes the s.…

Hardcover. Condition: Brand New. 500 pages. 9.69x6.85x1.57 inches. In Stock.

paperback. Condition: New. Paperback. Pub Date: 2021-05-01 Language: Chinese Publisher: China Financial Publishing House This book focuses on big data finance and focuses on financial analysis and risk control. Fusion conducted a detailed analysis. and on this basis. an in-depth exploration of the core content of big data-based financial analysis. the application of big data finance. and risk control. and finally put forward the concept of building a big data financial ecological environment.?The book consists of 7 cha.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - RD. Congo, aims to bring health facilities to a level where declared data equals verified data and verified data equals validated data; it's true that this project is about to close its doors in the Haut-Lomami province, so we were motivated to focus our study on 'Gap analysis between verified and validated data in the 12 Cas health zones of the Division Provinciale de la Santé du Haut-Lomami'. The objective was to determine the discrepancies between verified and validated PMA and PCA data over the last 12 months in the health zones of the Haut-Lomami Provincial Health Division, to determine the average of the discrepancies for the whole Haut-Lomami Provincial Division and to calculate the Per Capita of each health zone according to their subsidy consumption for Q1, Q2 and Q2 2022. After analysis, we obtained the following results: High and very high risks were observed, and a low-risk Per Capita of less than $0.5 per structure. All in all, we can say that in our study environment, the PDSS project has not brought about any great change.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a comprehensive Artificial Intelligence driven framework for predicting COVID-19 severity in patients with comorbidities, addressing critical challenges in diagnosis, prognosis, and healthcare resource management. It integrates Machine Learning and Deep Learning techniques to analyze large-scale clinical, demographic, and medical imaging data. Imbalanced clinical datasets are handled using advanced preprocessing and resampling strategies, enabling robust prediction of mortality, survival, and disease severity. The book serves as a comprehensive guide for researchers, data scientists, and healthcare professionals interested in AI-based Prediction of COVID-19 Severity in Patients with Comorbidities. It highlights that classical Machine Learning models, including Decision Tree, Random Forest, and Gaussian Naïve Bayes, achieve high precision, while neural network-based models demonstrate strong generalization and robustness.…