Multifaceted Uncertainty Quantification
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Multifaceted Uncertainty Quantification
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Author : Isaac Elishakoff
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-23
Multifaceted Uncertainty Quantification written by Isaac Elishakoff and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Technology & Engineering categories.
The book exposes three alternative and competing approaches to uncertainty analysis in engineering. It is composed of some essays on various sub-topics like random vibrations, probabilistic reliability, fuzzy-sets-based analysis, unknown-but-bounded variables, stochastic linearization, possible difficulties with stochastic analysis of structures.
Multifaceted Uncertainty Quantification
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Author : Isaac Elishakoff
language : en
Publisher:
Release Date : 2024-08-19
Multifaceted Uncertainty Quantification written by Isaac Elishakoff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Mathematics categories.
The book exposes three alternative and competing approaches to uncertainty analysis in engineering. It is composed of some essays on various sub-topics like random vibrations, probabilistic reliability, fuzzy-sets-based analysis, unknown-but-bounded variables, stochastic linearization, possible difficulties with stochastic analysis of structures.
Pattern Recognition
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Author : Apostolos Antonacopoulos
language : en
Publisher: Springer Nature
Release Date : 2024-12-01
Pattern Recognition written by Apostolos Antonacopoulos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.
The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.
Modelling Stochastic Uncertainties
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Author : Mohammed Elmusrati
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-11-18
Modelling Stochastic Uncertainties written by Mohammed Elmusrati and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Technology & Engineering categories.
This book delves into dynamic systems modeling, probability theory, stochastic processes, estimation theory, Kalman filters, and game theory. While many excellent books offer insights into these topics, our proposed book takes a distinctive approach, integrating these diverse subjects to address uncertainties and demonstrate their practical applications. The author aims to cater to a broad spectrum of readers. The book features approximately 150 meticulously explained solved examples and numerous simulation programs, each with detailed explanations. "Modelling Stochastic Uncertainties" provides a comprehensive understanding of uncertainties and their implications across various domains. Here is a brief exploration of the chapters: Chapter 1: Introduces the book's philosophy and the manifestation of uncertainties. Chapter 2: Lays the mathematical foundation, focusing on probability theory and stochastic processes, covering random variables, probability distributions, expectations, characteristic functions, and limits, along with various stochastic processes and their properties. Chapter 3: Discusses managing uncertainty through deterministic and stochastic dynamic modeling techniques. Chapter 4: Explores parameter estimation amid uncertainty, presenting key concepts of estimation theory. Chapter 5: Focuses on Kalman filters for state estimation amid uncertain measurements and Gaussian additive noise. Chapter 6: Examines how uncertainty influences decision-making in strategic interactions and conflict management. Overall, the book provides a thorough understanding of uncertainties, from theoretical foundations to practical applications in dynamic systems modeling, estimation, and game theory.
Uncertainty Quantification In Multiscale Materials Modeling
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Author : Yan Wang
language : en
Publisher: Woodhead Publishing
Release Date : 2020-03-12
Uncertainty Quantification In Multiscale Materials Modeling written by Yan Wang and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-12 with Technology & Engineering categories.
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.
Parallel Processing And Applied Mathematics
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Author : Roman Wyrzykowski
language : en
Publisher: Springer Nature
Release Date : 2025-05-02
Parallel Processing And Applied Mathematics written by Roman Wyrzykowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8–11, 2024. The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections: Part I : Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPC Systems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing. Part II : First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication. Part III : First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical Sciences; and 8th Workshop on Complex Collective Systems.
Artificial Intelligence In Performance Driven Design
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Author : Narjes Abbasabadi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-05-29
Artificial Intelligence In Performance Driven Design written by Narjes Abbasabadi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-29 with Architecture categories.
ARTIFICIAL INTELLIGENCE IN PERFORMANCE-DRIVEN DESIGN A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AI’s capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It’s also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering.
Design And Analysis Of Controllers
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-28
Design And Analysis Of Controllers written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
"Design and Analysis of Controllers" "Design and Analysis of Controllers" is an authoritative and comprehensive resource that equips engineers, researchers, and students with a rigorous foundation in both the theory and practice of modern control systems. Beginning with detailed exploration of mathematical principles—including system modeling, stability theories, and performance criteria—the book systematically covers core methodologies such as PID, frequency domain techniques, and state-space approaches. Each chapter navigates seamlessly from classical designs to modern innovations, addressing not only analysis and synthesis, but also practical challenges encountered in real-world controller implementation. The text provides in-depth treatment of advanced topics including digital and discrete-time controllers, nonlinear and adaptive strategies, and robust control techniques for managing uncertainty. Readers will benefit from clear expositions on Lyapunov methods, optimal control, H-infinity synthesis, and networked system architectures. The book's integration of distributed, intelligent, and learning-based control underscores the transformative impact of data-driven and AI-powered approaches, culminating in innovative solutions for cooperative, adaptive, and resilient systems. Practical deployment is emphasized throughout, with guidance on simulation, rapid prototyping, certification, and formal verification of controllers in safety-critical domains. The inclusion of hardware considerations, embedded integration, and case studies from industries such as aerospace and manufacturing ensures the content remains grounded in cutting-edge practice. "Design and Analysis of Controllers" stands as an indispensable reference, bridging theoretical rigor with engineering pragmatism for the next generation of control systems professionals.
Torque Theory Calculations And Applications
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-12
Torque Theory Calculations And Applications written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Computers categories.
"Torque: Theory, Calculations, and Applications" "Torque: Theory, Calculations, and Applications" is a comprehensive and meticulously structured reference that explores the principles and practicalities of torque across the physical sciences and engineering disciplines. Beginning with a deep dive into the foundational concepts of torque—its physical interpretation, mathematical formulation, and historic development—the book skillfully bridges the gap between fundamental theory and real-world applications. Each chapter builds upon the last, offering a continuum from the mathematical underpinnings and vector nature of torque, to the nuanced analysis of static and dynamic systems. Beyond theoretical discourse, the text thoroughly addresses the challenges encountered in modeling, measuring, and controlling torque within modern mechanical systems. Detailed expositions cover material response to torsion, multibody dynamics, and advanced computational analysis, including finite element methods and digital signal processing for torque measurement. Real-world engineering considerations receive significant attention, encompassing shaft design, power transmission, energy efficiency, and system optimization in both conventional and emerging technologies. Specialized chapters further guide the reader through torque phenomena in aerospace, marine, and biomedical contexts, showcasing the diversity of torque’s applications. With forward-looking chapters on smart sensors, IoT integration, machine learning, and the evolving landscape of high-precision torque instrumentation, this book stands at the intersection of tradition and innovation. It is an essential resource for engineers, physicists, and researchers seeking authoritative coverage—from foundational theory to the latest breakthroughs and unresolved challenges in torque science and technology.
Responsible Ai In The Age Of Generative Models
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2024-03-11
Responsible Ai In The Age Of Generative Models written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Business & Economics categories.
In "Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management" we present a comprehensive guide to navigating the complex landscape of ethical AI development and deployment. As generative AI systems become increasingly powerful and ubiquitous, it is crucial to develop governance frameworks that mitigate potential risks while harnessing the technology's transformative potential. This book presents a rights-based approach, grounded in established human rights frameworks, to align AI systems with societal values and expectations. Divided into ten parts, the book covers a wide range of topics essential for responsible AI governance: 1. Maps generative AI risks to specific human rights. 2. Presents a framework for institutionalizing rights-respecting AI practices throughout the development lifecycle. 3. Delves into responsible data governance practices. 4. Examines participatory approaches to data stewardship. 5. Explores the roles and responsibilities of different organizational functions in operationalizing responsible AI, emphasizing the need for cross-functional collaboration. 6. Focuses on transparency and algorithmic auditing. 7. Provides guidance on implementing effective multi-layered governance across the AI system lifecycle. 8. Introduces maturity models for assessing an organization's responsible AI capabilities. 9. Features an in-depth case study of Anthropic's innovative Constitutional AI approach. 10. Analyzes emerging regulatory frameworks such as the EU AI Act and discusses the implications for businesses operating in multiple jurisdictions. "Responsible AI in the Age of Generative Models" equips readers with the knowledge, tools, and strategies needed to unlock the transformative potential of generative models while safeguarding human rights and promoting social justice. It is an essential resource for business leaders, policymakers, researchers, and anyone concerned about the future of AI governance. By embracing responsible AI as an imperative, we can work together to build a world where AI empowers and uplifts us all. This book is an invitation to engage in that critical conversation and take action towards a more equitable future.