
Teil der Reihe: Springer Nature Proceedings Computer Science
Financial Technology
Inhaltsangabe
.- AI & Machine Learning for Financial Markets and Prediction.
.- Explainable AI for Automated Compliance and Regulatory Reporting in FinTech: A Java Spring Boot Microservices Framework.
.- Composite Deep Learning Approach for Stock Price Prediction by Fusing Market Sentiment.
.- Attention-Driven Deep RL for Portfolio Management: Temporal and Asset-wise Signals.
.- Algorithmic Evaluation of Enterprise Competitiveness in the Industrial Economy Using Stacked Machine Learning Models.
.- Genetic-Algorithm Investor Sentiment Indices and Post-Earnings-Announcement Dynamics in China’s A-Share Market.
.- RL-Enhanced Transformer for Financial Time Series: Adaptive Parameter Tuning and Risk-Aware Decision Support.
.- STI-VAE: Disentangled Dynamic Latent Representations for Financial Risk Prediction.
.- Blockchain, Cryptocurrency, and Digital Assets.
.- A Stablecoin Based Insurance Model.
.- Navigating the Landscape of Stablecoins: Understanding Design, Volatility, and Regulatory Challenges.
.- Analysis of the Mechanism and Path of Blockchain Reconstructing the Credit Ecosystem of Cross-Border E-Commerce: A Single Case Study of Trusple Based on Grounded Theory.
.- What Drives Cryptocurrency Adoption Among Younger Demographics? The Moderating Role of Financial Literacy and Personal Cultural Orientation.
.- Multi-label Vulnerability Detection for Go Smart Contracts with Call Graphs and Semantic Code Embeddings.
.- Crux Chain: An Energy-Efficient Blockchain Framework.
.- AI-Driven Risk Management and Corporate Finance.
.- ARO: AI-based Risk Evaluation and Operations System for Construction Supply Chain Financing.
.- Do Markets Price Climate Disclosure? A Large Language Model Approach.
.- Adaptive Real-Time Policy Optimization for FinTech Liquidity Risk Management under Market Uncertainty: A Stochastic Inventory Control Approach.
.- Risk Supervision Method for Securities Market Based on Improved SSA-CNN.
.- Genetic Algorithm Optimization for Enterprise Financial Risk Prediction: A Model for State-Owned Firms.
.- Enhancing Enterprise Risk Management with AI: A LightGBM-GAN Approach.
.- Fuzzy-Logic Risk Scoring Meets NPV: A Hybrid Decision Support Model for Capital Investment under Uncertainty.
.- Climate Risk Modeling in the Digital Age: New Approaches for Financial Institutions.
.- Digital Finance, Economic Growth, and Inclusion.
.- Digital Platform-Based SME Management for Achieving Sustainable Performance.
.- Financial Technology as a Factor in Increasing Bank Efficiency: Empirical Evidence from GCC Using Stochastic Frontier Analysis.
.- Digital Inclusive Finance and Economic Growth (GDP) via Industrial Structural Change: A System GMM Approach.
.- Algorithmic Forecasting of Digital Economy Development Using Big Data and Machine Learning for FinTech Decision Support.
.- Behavioral Modeling and Forecasting of Household Finance Based on Time Series Algorithms in the Context of Financial Technology.
.- A Study on the Impact of Fintech on the Development of the Digital Economy in Northeast Asia.
.- From Macro to Markets: Big-Data Forecasting Pipelines for Financial Applications.
.- Intelligent Systems and Algorithmic Optimization in Enterprise Finance.
.- AI as an External Brain: Forecast Intelligence, Option Signals, and In-Advance-of-Time Exposure Governance for the Self-Managed Enterprise.
.- Integrating Artificial Intelligence, Big Data, and Blockchain for the Digital Transformation of Financial Services.
.- Intelligent Financial Systems: From Predictive Models to Autonomous Decisions.
.- A Dual Business Model for The Integration of Artificial Intelligence and Blockchain in Online Accommodation.
.- Conceptualization of AI Finance: Formal Model and Boundary Definition.
.- System-Dynamics Driven Schedule Governance for FinTech Project: Evidence from a Financial Digital-Intelligent Platform.
.- Mechanism and Quantitative Study on Artificial Intelligence Technology Empowering Enterprise Performance-Empirical Analysis Based on the "Input-Scenario-Output" Model.
.- Algorithmic Optimization of Quantitative Modeling for Dynamic Economic Systems in Financial Technology.
.- Hybrid MIP–GA–SA Optimization for Corporate Asset Reorganization: A Decision-Analytics Approach for SOE Finance.
.- Emerging Paradigms and Security in Digital Finance.
.- The international status of Hainan Free Trade Zone's digital economy from the perspective of green digital economy.
.- Amalgamate GenAI and Metaverse for FinTech Innovations in Metaverse.
.- Generative AI-Driven Financial Extreme Risk Prediction: An Empirical Study Based on Real-Generated Fusion Data.
.- Secure and Intelligent Data Sharing Frameworks for Cross-Regional Economic Integration in the Digital Finance Era.
Produktdetails
- Erscheinungsdatum: 30.05.2026
- Autor/Autorin: Sheung Chi Phillip Yam
- Reihe: Springer Nature Proceedings Computer Science
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 46 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 516 Seiten
- ISBN: 9789819201266
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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