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Univ. Federico II (7)

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The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

Awan Irfan

Cham : , : Springer, , 2025

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AI-Driven Transportation Systems

Maryam Hafsa

Cham : , : Springer, , 2025

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Building Tomorrow

Re Cecconi Fulvio

Cham : , : Springer, , 2025

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Data Analysis and Related Applications, Volume 5 : Models, Methods and Techniques

Dimotikalis Yiannis

Newark : , : John Wiley & Sons, Incorporated, , 2025

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Data Science in Engineering, Volume 11 : Proceedings of the 43rd IMAC, a Conference and Exposition on Structural Dynamics 2025

Matarazzo Thomas

Milton : , : River Publishers, , 2026

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Distributed Deep Learning and Explainable AI (XAI) in Industry 4. 0

Krishnasamy Lalitha

Cham : , : Springer, , 2025

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Future of AI, IoT, and Sustainability

Mishra Brojo Kishore

Cham : , : Springer, , 2025

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2026 (1)

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Autore	Awan Irfan
Edizione	[1st ed.]
Pubbl/distr/stampa	Cham : , : Springer, , 2025
Descrizione fisica	1 online resource (301 pages)
Disciplina	006.3
Altri autori (Persone)	YounasMuhammad GhineaGeorge Tor-MortenGrønli ŞenSevil
Collana	Lecture Notes in Networks and Systems Series
Soggetto topico	COMPUTERS / Artificial Intelligence / General COMPUTERS / Data Science / General TECHNOLOGY & ENGINEERING / Engineering (General)
ISBN	3-032-04728-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911022453103321

Autore	Maryam Hafsa
Edizione	[1st ed.]
Pubbl/distr/stampa	Cham : , : Springer, , 2025
Descrizione fisica	1 online resource (515 pages)
Disciplina	629.04
Altri autori (Persone)	MalikMehak Mushtaq KhanInam Ullah GuptaShashi Kant
Collana	Information Systems Engineering and Management Series
Soggetto topico	COMPUTERS / Artificial Intelligence / General COMPUTERS / Data Science / General TECHNOLOGY & ENGINEERING / Engineering (General)
ISBN	3-031-98349-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911028662503321

Autore	Re Cecconi Fulvio
Edizione	[1st ed.]
Pubbl/distr/stampa	Cham : , : Springer, , 2025
Descrizione fisica	1 online resource (156 pages)
Disciplina	690.028563
Altri autori (Persone)	KhodabakhshianAnia RampiniLuca
Collana	SpringerBriefs in Applied Sciences and Technology Series
Soggetto topico	BUSINESS & ECONOMICS / Facility Management COMPUTERS / Business & Productivity Software / General COMPUTERS / Data Science / General
ISBN	9783031771972 3031771974
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910921014603321

Autore	Dimotikalis Yiannis
Edizione	[1st ed.]
Pubbl/distr/stampa	Newark : , : John Wiley & Sons, Incorporated, , 2025
Descrizione fisica	1 online resource (436 pages)
Disciplina	004
Altri autori (Persone)	SkiadasChristos H
Collana	ISTE Invoiced Series
Soggetto topico	COMPUTERS / Data Science / Data Analytics COMPUTERS / Data Science / General
ISBN	1-394-40160-4 1-394-40158-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1. Modeling/Forecasting Patient Recruitment in Multicenter Clinical Trials Using Time-dependent Models -- 1.1. Introduction -- 1.2. Poisson-gamma model with time-dependent rates -- 1.2.1. The case of homogeneous rates -- 1.3. Non-homogeneous PG model -- 1.3.1. Estimation at the interim stage -- 1.3.2. Simulation of non-homogeneous PG model -- 1.4. Testing the recruitment rates for homogeneity -- 1.4.1. Poisson-type test -- 1.4.2. Criterion for testing hypothesis H0 -- 1.4.3. Poisson-gamma test -- 1.5. Implementations -- 1.6. Acknowledgment -- 1.7. References -- Chapter 2. Forecasting the Next Megacycle of the Economy -- 2.1. Introduction -- 2.2. 2024: the end of an economic megacycle -- 2.3. The role of technology in shaping the future -- 2.4. The economic consequences of the new cycle -- 2.4.1. Presenting past megacycles -- 2.4.2. The structure of economic megacycles -- 2.4.3. Technology as a catalyst for megacycles -- 2.4.4. Historical patterns of energy and economic growth -- 2.5. The future of economic megacycles -- 2.5.1. The 2024-2080 megacycle: a new era of exponential change and growth -- 2.5.2. Stagnation phase: 2024-2052 -- 2.5.3. Growth phase: 2052-2080 -- 2.5.4. Geopolitical and societal implications -- 2.5.5. Role of labor and automation -- 2.6. Conclusions -- 2.7. References -- Chapter 3. Modeling Functioning as a Determinant of Wellbeing: A Mediation Analysis -- 3.1. Introduction -- 3.2. Methods -- 3.2.1. Procedure and participants -- 3.2.2. Measures and item selection -- 3.2.3. Statistical analyses -- 3.3. Results -- 3.3.1. Univariate analysis -- 3.3.2. Bivariate analysis: correlation analysis -- 3.3.3. Multivariate analysis: mediation analysis -- 3.4. Conclusions -- 3.5. References -- 3.6. Appendix. Chapter 4. Cross-Cultural Issues in Psychological Assessment: A Multistrategy Approach -- 4.1. Introduction -- 4.2. Suicide risk among university students: India and Italy in direct comparison -- 4.3. Merging techniques: A better way in cross-cultural studies? -- 4.4. Do different people respond in the same way to common items? -- 4.5. Conclusions -- 4.6. References -- Chapter 5. A Control Chart for Zero-Inflated Semi-Continuous Data -- 5.1. Introduction -- 5.1.1. Zero-inflated and hurdle models for count data -- 5.1.2. Inflated distributions for semi-continuous data -- 5.2. Zero-inflated Lomax distribution -- 5.2.1. The Lomax and the zero-inflated Lomax distributions -- 5.2.2. Maximum likelihood estimates -- 5.3. Shewhart control chart for monitoring zero-inflated Lomax data -- 5.4. Performance of the proposed control chart -- 5.5. Conclusions -- 5.6. Acknowledgments -- 5.7. References -- Chapter 6. Further Results on Location Invariant Estimation of the Weibull Tail Coefficient -- 6.1. Introduction -- 6.2. Hill and GMs EVI and WTC-estimators -- 6.2.1. Power-mean-of-exponent-p (PMp) and Holder's mean-of-order-p (MOp = Hp) EVI estimation -- 6.2.2. WTC estimation -- 6.3. Classes of PORT-GMs (PGMs) WTC-estimators -- 6.4. Monte Carlo simulation of the PORT-GPMp (PGPMp) WTC-estimators -- 6.5. Overall comments and open research topics -- 6.6. Acknowledgments -- 6.7. References -- Chapter 7. What Can we Learn from Malta? An Exploration of Gender Disparities in Education, Work and Money in Europe -- 7.1. Introduction -- 7.2. Gender gap: education, work and money -- 7.3. Gender Equality Index -- 7.4. Three-way data approach based on principal component analysis -- 7.5. Evidence from principal component analysis -- 7.6. Results of trajectory analysis -- 7.7. Conclusions -- 7.8. Acknowledgments -- 7.9. References. Chapter 8. Financial Analysis of a Public Hospital: The Case of the Corfu General Hospital -- 8.1. Introduction -- 8.2. Materials and methods -- 8.3. Results -- 8.3.1. Liquidity ratios -- 8.3.2. Financial structure and viability ratios -- 8.3.3. Activity ratios -- 8.3.4. Profitability ratios -- 8.4. Discussion -- 8.5. References -- Chapter 9. EWMA Control Charts for Skewed Distributions -- 9.1. Introduction -- 9.2. Exponentially weighted moving average control charts -- 9.3. EMMA control charts for the non-normal process -- 9.3.1. The WVEWMA control chart -- 9.3.2. The WSDEWMA control chart -- 9.3.3. Newly proposed SCEWMA control chart -- 9.4. Real data -- 9.5. Simulation study -- 9.6. Simulation algorithm -- 9.7. Results and discussion -- 9.8. Conclusion -- 9.9. References -- Chapter 10. Assessing the Impact of Renewable Energy Sources on Energy Economics: A Non-Linear Regression Analysis of Hellenic Energy Exchange Market Clearing Prices -- 10.1. Introduction -- 10.2. Methodology -- 10.2.1. Spearman's rank -- 10.2.2. Sparse autoencoder -- 10.3. Results -- 10.4. Discussion -- 10.5. Conclusions -- 10.6. Acknowledgments -- 10.7. References -- Chapter 11. Enhancing Energy Market Stability: Comparative Analysis of Forecasting Techniques for Market Clearing Prices in the Day-Ahead Market -- 11.1. Introduction -- 11.2. Methodology -- 11.3. Results -- 11.4. Discussion -- 11.5. Conclusions -- 11.6. Acknowledgments -- 11.7. References -- Chapter 12. Using the Coxian Continuous-Time Hidden Markov Model to Analyze Lombardy Region Wards for Older Individuals -- 12.1. Introduction -- 12.2. Methodology -- 12.3. Data and results -- 12.3.1. Data -- 12.3.2. Results -- 12.4. Conclusions -- 12.5. Practice implications -- 12.6. Conflict of interest -- 12.7. References -- Chapter 13. Estimators for Extreme Value Index: Advancements in Tail Inference. 13.1. Introduction -- 13.2. Estimators for the tail parameters -- 13.2.1. The new class of estimators for the EVI -- 13.2.2. Asymptotic properties of the GPWM estimators -- 13.2.3. Estimating an extreme quantile -- 13.3. Monte Carlo simulation study of the GPWM estimators -- 13.3.1. Methodology -- 13.3.2. Results -- 13.4. Conclusion -- 13.5. Acknowledgments -- 13.6. References -- Chapter 14. Determinants of Students' Attitude Toward History: An Empirical Approach -- 14.1. Introduction -- 14.2. Previous research -- 14.2.1. Attitude toward history -- 14.2.2. Educational factors -- 14.2.3. Socioeconomic factors -- 14.3. Data and methods -- 14.3.1. Data -- 14.3.2. Empirical methodology -- 14.4. Results -- 14.5. Summary and conclusions -- 14.6. Appendices -- 14.6.1. Appendix A: the initial full questionnaire for the attitude survey toward history (EDIS) -- 14.6.2. Appendix B: the final questionnaire for the attitude survey toward history (EDIS) -- 14.6.3. Appendix C -- 14.7. References -- Chapter 15. Methodological Procedures for Assessing the Quality of Death Certificates Due to Unknown Causes -- 15.1. Introduction -- 15.2. Methods -- 15.2.1. First step: correction of underregistration of deaths (f) -- 15.2.2. Second step: redistribution of deaths due to ill-defined causes -- 15.2.3. Third step: redistribution of deaths due to non-specific causes (garbage codes) -- 15.3. Illustrative example -- 15.4. Conclusions -- 15.5. References -- Chapter 16. Health Status, Cancer and Pneumonia Death Rates in Europe: 2019-2022 -- 16.1. Introduction -- 16.2. Background -- 16.3. Methods -- 16.4. Results and discussion -- 16.4. Conclusions -- 16.5. References -- Chapter 17. A Bayesian Asymmetric Approach to Modeling Volatility on Portfolios with Many Assets -- 17.1. Introduction -- 17.2. Dynamic principal component analysis -- 17.3. Bayesian Student-t GJR(1,1) model. 17.4. Asymmetric modeling of a portfolio with many assets -- 17.5. Forecasting, predictive ability and risk estimation -- 17.6. Conclusion -- 17.7. References -- Chapter 18. Pandemic-Driven Innovations: Utilizing Online Learning and Big Data Analysis for Decision-Making in Educational Environments -- 18.1. Introduction -- 18.2. Literature review -- 18.2.1. Difficulties during the COVID-19 period -- 18.2.2. Effects of COVID-19 on education -- 18.2.3. Big data analysis in educational research -- 18.2.4. Related work -- 18.3. Methodology -- 18.4. Research questions -- 18.4.1. Dataset presentation -- 18.5. Conclusion -- 18.6. Suggestions for further research -- 18.7. References -- Chapter 19. Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation -- 19.1. Introduction -- 19.2. Literature review -- 19.2.1. Introduction to credit card fraud detection -- 19.2.2. The importance of detecting credit card fraud -- 19.2.3. Role of machine learning in improving decision-making processes in fraud detection -- 19.2.4. Automated pattern recognition -- 19.2.5. Predictive modeling -- 19.2.6. Dynamic risk scoring -- 19.2.7. Anomaly detection -- 19.2.8. Natural language processing (NLP) -- 19.2.9. Integration with existing systems -- 19.2.10. Credit card fraud detection: machine learning applications -- 19.2.11. Credit card fraud detection using Apache Spark -- 19.2.12. How can machine learning algorithms enhance decision quality in detecting fraud? -- 19.2.13. Improved detection accuracy -- 19.2.14. Real-time processing and analysis -- 19.2.15. Handling big data and complex variables -- 19.2.16. Adaptive learning for evolving threats -- 19.2.17. Cost efficiency through automation -- 19.2.18. Enhanced scalability -- 19.3. Materials and methods -- 19.3.1. Performance evaluation -- 19.4. Results. 19.4.1. Comparative analysis.
Record Nr.	UNINA-9911021978603321

Autore	Matarazzo Thomas
Edizione	[1st ed.]
Pubbl/distr/stampa	Milton : , : River Publishers, , 2026
Descrizione fisica	1 online resource (55 pages)
Disciplina	620.104
Altri autori (Persone)	MatarazzoThomas HemezFrancois TronciEleonora Maria DowneyAustin
Soggetto topico	COMPUTERS / Data Science / General
ISBN	87-438-0743-7 87-438-0731-3 87-438-0767-4 87-438-0168-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover -- Series Page -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1 Data-Driven Method for Reduced Order Modeling of Blisks with Large and Small Mistuning -- 2 System Identification of Data from Rotating Machinery Using Deep Learning Network Training -- 3 Towards PEAR: a Benchmark Dataset for Population-based SHM -- 4 The Use of Machine Learning in Improved Hydrostatic Load Prediction for Inland Waterways Navigation Infrastructure -- 5 Experimental Analysis to Enable Low-Latency Structural Health Monitoring for Electronics in High-Rate Dynamic Environments -- 6 Fast-TDA Implementation for High Rate Dynamic Systems in Noisy Environment and Introduction to Chaotic System.
Record Nr.	UNINA-9911070616803321