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1. |
Record Nr. |
UNINA9910678181303321 |
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Autore |
Yang Yeong-Bin <1954-> |
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Titolo |
Vehicle scanning method for bridges / / Yeong-Bin Yang [et al.] |
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Pubbl/distr/stampa |
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Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] |
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©2020 |
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ISBN |
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1-119-53961-7 |
1-119-53962-5 |
1-119-53949-8 |
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Descrizione fisica |
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1 online resource (285 pages) |
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Disciplina |
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Soggetti |
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Bridges - Testing |
Bridges - Live loads |
Structural health monitoring |
Automatic data collection systems |
Dynamic testing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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"Vehicle Scanning Method for Bridges is the first book on vehicle scanning the dynamic properties of bridges, written by the leading author on the subject. This vehicle scanning method (VSM) allows engineers to monitor every bridge of concern on a regular and routine basis, for the purpose of maintenance and damage detection. This method is efficient, economic and mobile in bridge health monitoring, compared with the conventional direct measurement approach. Vehicle Scanning Method for Bridges includes a review of the existing literature on the topic and presents the basic concept of extracting bridge frequencies from a moving test vehicle fitted with vibration sensors. How road surface roughness affects the vehicle scanning method is considered and a finite element simulation is conducted to demonstrate how surface roughness affects the vehicle response. Case studies and experimental results are also included"-- |
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2. |
Record Nr. |
UNINA9910813070603321 |
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Autore |
Labasse-Herpin Valerie |
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Titolo |
Le plus des affinités ... de valL bipolaire / / Valerie Labasse-Herpin |
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Pubbl/distr/stampa |
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[Place of publication not identified] : , : La Compagnie Littéraire, , [2017] |
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ISBN |
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Descrizione fisica |
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1 online resource (77 pages) |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9911021974303321 |
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Autore |
Gupta Shashi Kant |
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Titolo |
The Impact of Artificial Intelligence on Finance: Transforming Financial Technologies / / edited by Shashi Kant Gupta, Joanna Rosak-Szyrocka, Ravinder Rena, Chin-Shiuh Shieh, Gül Erkol Bayram |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (639 pages) |
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Collana |
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Information Systems Engineering and Management, , 3004-9598 ; ; 53 |
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Altri autori (Persone) |
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Rosak-SzyrockaJoanna |
RenaRavinder |
ShiehChin-Shiuh |
Erkol BayramGül |
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Disciplina |
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Soggetti |
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Computational intelligence |
Engineering - Data processing |
Computational Intelligence |
Data Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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AI, Blockchain, and Quantum Finance The Transformative Power of Emerging Technologies in the Financial Industry -- The Role of Artificial Intelligence (AI) in Enhancing the Customer Experience in the Banking Sector -- AI Agents for Synthetic Data Generation in Finance Enhancing Security, Privacy, and Predictive Analytics -- Emerging Technological Advancements Shaping the Future of AI in Finance -- Contribution of synthetic features for improving signature verification in handwritten documents -- Program Management in Emerging Technologies Transforming the Financial Industry -- Understanding the Adoption of AI in Accounting and Finance in Emerging Economies Insights from the Banking and Finance Sector -- Innovative Strategies in Autonomous Finance A Model Based Approach -- The Impact of Artificial Intelligence and Data Analytics on Finance Transforming Financial Technologies -- Exploring Future Trends and Uncovering Opportunities in AI Enhanced Financial Technologies -- Machine learning and predictive analytics in financial decision making -- AI Powered Fraud Detection and Cybersecurity in Banking -- Data Driven Automation and AI ML Revolutionizing Financial Decision Making -- The Rise of Intelligent Finance AI’s Influence on the Financial Sector -- Addressing compliance, bias, and transparency in AI systems -- The intersection of blockchain technology and AI in finance -- Predicting Stock Market Volatility and Market Crash Using Deep Learning Methods -- The role of AI in identifying and preventing fraudulent activities -- EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE IN CLAIMS PROCESSING AND FRAUD DETECTION A STUDY ON INDIAN INSURANCE INDUSTRY -- THE HOLISTIC IMPACT OF ARTIFICIAL INTELLIGENCE ON FINANCE -- AI and Quantum Computing The Future of Financial Modeling and Risk Assessment -- APPLICATION OF DATA ANALYTICS IN BANKING -- The Nexus of AI and Finance A Bibliometric Analysis on the Web of Science Database -- Synthetic Data and Federated Learning Enhancing Privacy Preserving Financial AI Models -- AI Driven Media Analytics in Financial Markets Sentiment Analysis, News Impact, and Market Forecasting -- Business Cases of AI in Financial Services -- Taler Balancing Accountability and Privacy in Electronic Payments. |
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Sommario/riassunto |
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This book discovers how artificial intelligence is revolutionizing the financial sector with cutting-edge insights and practical applications. This book delves into the transformative power of AI, exploring its role in enhancing customer experiences, improving security, and driving predictive analytics. By integrating emerging technologies like blockchain and quantum computing, it offers a comprehensive view of the future of finance. The book's innovative approach provides a deep dive into AI's impact on financial decision-making, fraud detection, and risk assessment. Designed for finance professionals, academics, and tech enthusiasts, it serves as a vital resource for understanding and leveraging AI in finance. Key uses include strategic planning, technology adoption, and enhancing operational efficiency in financial services. |
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