In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation.
In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation.
This book constitutes the refereed proceedings of the Second CCF Intelligent Vehicles Symposium on Intelligent Vehicles, CCF CIVS 2024, held in Wuhan, China, during October 19–20, 2024.
This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems.
This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems.
This volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22–24, 2025.
This book constitutes the refereed proceedings of the Second CCF Intelligent Vehicles Symposium on Intelligent Vehicles, CCF CIVS 2024, held in Wuhan, China, during October 19–20, 2024.
This book presents a case study of the development of a smart contract, from the analysis of the legal contract to the structural design of the smart contract and implementation on the Ethereum blockchain.
This book presents a comprehensive investigation into the exponential and Mittag-Leffler Euler differences for semi-linear fractional-order differential equations, a subject falling within the purview of computational mathematics.
This book presents a case study of the development of a smart contract, from the analysis of the legal contract to the structural design of the smart contract and implementation on the Ethereum blockchain.
This book originates from the INdAM Workshop “Analysis and Numerics of Design, Control, and Inverse Problems”and explores a broad spectrum of cutting-edge topics in Applied Mathematics, including Control of Partial Differential Equations (PDEs), Shape Optimization, Inverse Problems and Numerical Analysis.
This volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22–24, 2025.
This book presents a comprehensive investigation into the exponential and Mittag-Leffler Euler differences for semi-linear fractional-order differential equations, a subject falling within the purview of computational mathematics.
This book originates from the INdAM Workshop “Analysis and Numerics of Design, Control, and Inverse Problems”and explores a broad spectrum of cutting-edge topics in Applied Mathematics, including Control of Partial Differential Equations (PDEs), Shape Optimization, Inverse Problems and Numerical Analysis.
This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks.
This volume argues that concepts from the theory of computation-including information theory, formal languages, and discrete structures-might provide novel paths towards a solution to the problem of quantum gravity.
Computational and Mathematical Techniques for Heat Transfer and Fluid Dynamics offers an in-depth exploration of modern modeling, simulation, and optimization strategies for solving complex problems in thermal and fluid systems.
This second edition introduces Python programming to readers with little or no prior experience, specifically tailored for physicists and natural sciences students.
This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulation software.
The original contributions on Bayesian econometrics gathered in this book pay tribute to Sune Karlsson, celebrating his significant work in time series econometrics and its applications in macroeconomics and finance.
The original contributions on Bayesian econometrics gathered in this book pay tribute to Sune Karlsson, celebrating his significant work in time series econometrics and its applications in macroeconomics and finance.
This book examines the symbiotic interplay between fully nonlinear elliptic partial differential equations and general potential theories of second order.
This book is an essential guide for anyone in engineering or mathematical physics looking to master the fundamental concepts of differential equations and special functions, which are crucial for solving real-world problems.
This book focuses on the crucial theme of modern test development and analysis, specifically focusing on bridging the gap between theoretical frameworks and practical applications.
In clinical trials, monitoring accumulating data at regular intervals is essential for balancing ethical and financial considerations against scientific rigor.
Wrangle stats as you learn how to graph, analyze, and interpret data with Python Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions.
This book is a vital resource for anyone looking to understand the essential role of graph theory as the unifying thread that connects and provides innovative solutions across a wide spectrum of modern computer science disciplines.
System dependability is a complex task to grasp and analyze since it encompasses reliability, maintainability, availability, failure mode analysis and feared events.
Graph minor theory is one of the most influential and well-developed areas of graph theory, yet its key results, particularly the work of Robertson and Seymour, have remained scattered across numerous technical papers.
The present volume collects extended abstracts of lectures and talks presented at the Summer School and Conference "e;Analysis, PDEs and Applications"e; held 24 June - 6 July 2024 at Yerevan State University, Armenia.
This book examines the symbiotic interplay between fully nonlinear elliptic partial differential equations and general potential theories of second order.
This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.
This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.
This book collects the groundbreaking research presented at the plenary lectures of the First Brazil-Portugal Joint Meeting in Mathematics, held in Salvador, Brazil, from August 14 to 20, 2022.
This book collects the groundbreaking research presented at the plenary lectures of the First Brazil-Portugal Joint Meeting in Mathematics, held in Salvador, Brazil, from August 14 to 20, 2022.
This book collects some contributions presented in the annual Congress "e;Mathematical Modeling & Human Behavior"e;, held from 10 to 12 July 2024 at Universitat Politècnica de València, Valencia, Spain.
