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Advanced Information Systems Engineering
The two-volume set LNCS 16558 + 16559 constitutes the proceedings of the 38th International Conference on Advanced Information Systems Engineering, CAiSE 2026, which took place in Verona, Italy, during June 2026.The 46 full papers included in the proceedings were carefully reviewed and selected from 331 submissions. The papers were organized in topical sections as follows: Part I: Enterprise Intelligence, Complexity, and Decision Support; Forecasting, Drift, and Prescriptive Process Analytics; Conceptual Modeling, Ontologies, and Value; Enriching Process Mining with Context and Sustainability; Human-in-the-Loop Engineering and Development Practices; Process Discovery and Analysis; Engineering AI Systems across Cloud, Edge, and Cyber-Physical Environments; Part II: LLM-Driven Modeling and Human–AI Collaboration; Agent-Based and Multi-Stakeholder Process Interaction; LLMs and AI for Process Understanding; Predictive and Neuro-Symbolic Process Analytics; Responsible, Fair, and Human-Centered AI; Object-Centric Process Mining and Conformance; Process Mining Data Quality and Repair.
R 3,912.90
Renewable and Cost-Effective Materials and Structural Systems for the Built Environment and Engineering Sciences
Renewable and Cost-Effective Materials and Structural Systems for Built Environment and Engineering Sciences offers a comprehensive and forward-looking examination of next-generation binder systems designed to meet the urgent sustainability demands of modern construction. As traditional binders such as Portland cement, construction lime, and gypsum face increasing scrutiny for their environmental impact, this volume provides a timely and essential resource. Through detailed scientific analysis and practical engineering insight, the book explores renewable, composite, and cost-efficient alternatives that reduce ecological harm while maintaining structural performance. Presented as a full-length scholarly reference, the book serves as both a theoretical foundation and a practical guide for advancing sustainable material innovation.This volume delivers a holistic framework for understanding and developing environmentally responsible binder systems. Readers will find in-depth coverage of material synthesis, inner-structural characterization, physical and mechanical performance evaluation and durability assessment. The book highlights the role of supplementary cementitious materials (SCMs), industrial by-products, fibers, water reducers, and chemical admixtures in enhancing flexibility, strength, and resilience. It distinguishes itself by offering innovative methodologies, step-by-step procedures, and practical solutions that bridge scientific research with real-world engineering applications. By presenting cutting-edge approaches to eco-friendly binder development, the book equips readers with the knowledge needed to design materials that reduce carbon emissions, conserve resources, and support long-term sustainability in the built environment.This book is an essential resource for civil, architectural, environmental, and materials engineers; construction scientists; sustainability specialists; and researchers working in binder technology and composite materials. It is equally valuable for graduate students seeking a comprehensive introduction to renewable binder systems, as well as industry professionals, policymakers, and practitioners committed to implementing sustainable construction practices. Whether used as a reference, a teaching resource, or a guide for applied research, the volume serves a wide audience dedicated to shaping a more resilient and environmentally responsible built environment.
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Advances in Complex Societal, Environmental and Engineered Systems
This book addresses recent technological progress that has led to an increased complexity in many natural and artificial systems. The resulting complexity research due to the emergence of new properties and spatio-temporal interactions among a large number of system elements - and between the system and its environment - is the primary focus of this text.This volume is divided into three parts: Part one focuses on societal and ecological systems, Part two deals with approaches for understanding, modeling, predicting and mastering socio-technical systems, and Part three includes real-life examples. Each chapter has its own special features; it is a self-contained contribution of distinguished experts working on different fields of science and technology relevant to the study of complex systems. Advances in Complex Systems of Contemporary Reality: Societal, Environmental and Engineered Systems will provide postgraduate students, researchers and managers with qualitative and quantitative methods for handling the many features of complex contemporary reality.
R 3,709.28
Intelligent and Soft Computing in Infrastructure Systems Engineering
The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel machines, knowledge discovery and data mining, neuro-fuzzy systems and hybrid approaches. Highlighted application areas include infrastructure materials modeling, pavement analysis and design, rapid interpre- tion of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, s- grade soils characterization, and backcalculation of pavement layer thickness and moduli.
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Environmental Geotechnology, Recycled Waste Materials and Sustainable Engineering
This proceedings volume showcases the latest scientific and engineering advances in environmental geotechnology and sustainable engineering, addressing the urgent global need for innovative solutions to environmental degradation, climate change, resource scarcity, and resilient infrastructure development. Featuring peer-reviewed contributions from researchers and practitioners presented at EGRWSE-2026, the book highlights emerging technologies, interdisciplinary methodologies, and practical engineering applications that support sustainable development and environmental stewardship. The volume presents cutting-edge research on circular economy and waste valorization, contaminated site remediation, geoenvironmental characterization and monitoring, renewable energy geotechnics, nature-based and biotechnological solutions, sustainable infrastructure, climate-responsive geoengineering, and advanced ground improvement techniques. Combining fundamental research with laboratory studies, field investigations, modeling, and real-world case studies, the contributions demonstrate how scientific innovation can be translated into practical solutions to protect natural resources, improve infrastructure performance, and enhance environmental resilience. Structured around major thematic areas in environmental geotechnology and sustainable engineering, the book provides an overview of current research trends, technological developments, and future directions. This book can serve as an important reference for researchers, graduate students, practicing engineers, consultants, industry professionals, and policymakers seeking state-of-the-art knowledge and practical solutions to advance sustainable and resilient infrastructure, environmental protection, and responsible resource management in support of the United Nations Sustainable Development Goals.
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Resilient Space Systems Design
Resilient Space Systems Design: An Introduction demonstrates how quantitative resilience methodologies can be applied to a wide range of space systems as an extension of conventional systems engineering processes. This holistic approach includes establishing core definitions, requirements definition, mathematical modelling, and cost and performance trades. It addresses the full spectrum of threats facing modern space systems, from natural hazards to hostile actions, and provides a comprehensive framework for ensuring mission continuity.The new edition includes expanded discussions of the systems engineering process, the relevance of qualitative resilience properties, and the use of algorithms and artificial intelligence to increase resilience. It examines the effects of various threats on space systems and ground elements, with particular attention to emerging challenges posed by proliferated low Earth orbit constellations implementing mesh networks. The book also features extended coverage of calculation of avoidance, recovery, reconstitution, and a single resilience value over multiple capabilities, threats, and mitigations.This book is intended for aerospace engineers, space systems engineers and architects, communications engineers, and network engineers working on improving the survivability and operational continuity of commercial, civil, and military space assets.
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R 397.00
Introduction to Satellite Ground Segment Systems Engineering
The ground segment is the fundamental backbone of every satellite project, yet it is usually not visible to the public or the end user of a satellite service. Also the bulk of existing published space literature tends to focus on the satellite or its subsystems. This book tries to fill this gap and addresses systems engineering concepts applied to the design, development, qualification, and deployment of the ground control segment required to operate a single satellite, a constellation, or even a manned space vehicle.The domain of ground segment engineering has significantly evolved in recent years, mainly driven by major advances in the IT sector. Hardware virtualisation or the availability of on-demand cloud computing services are typical examples of new technologies that have changed fundamental architectural concepts previously standard in heritage ground segments. Furthermore, the stark increase of cyber attacks - today a major risk to almost all critical IT based infrastructure - has made a cyber threat resilient architecture to become one of the indispensable design requirements for ground segment engineers. The new mega constellations recently put into space deploying up to several hundred of flying objects have put very demanding needs on the ground segment for automated satellite operations. These topics and more are addressed in the book’s chapters, along with a detailed explanation of the most relevant components of a typical ground segment architecture. The basic functional requirements, design features, and the most important ground and space segment interfaces are addressed and explained in detail, supported by a wealth of figures for easier understanding.This book is kept at an introductory level, allowing newcomers to get familiar with this fairly complex subject matter. It is therefore suitable for graduate students, but can equally serve as a valuable source of information for already experienced space engineers who seek to gain a deeper understanding of the ground segment infrastructure and related systems engineering processes. It can also help project managers to better interact with their systems engineers, satellite developers to define their ground segment interfaces, and satellite operators to improve their flight and ground procedures. It is very well suited for everyone intending to start a career in satellite ground segment systems engineering.
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Intelligent Systems and Machine Learning for Industry
The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: • Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. • Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. • Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. • Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. • Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. • Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
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R 915.00
Recent Advances in Machines and Mechanisms
This book presents the proceedings of 5th International and 20th National Conference on Machines and Mechanisms (iNaCoMM 2021) held at PDPM IIITDM Jabalpur during 9-11 December 2021. The conference was held in collaboration with the Association of Machines and Mechanisms (AMM) India and International Federation for the Promotion of Mechanism and Machine sciences (IFToMM). Various topics covered in this book include kinematics and dynamics of machines, compliant mechanisms; gear, cams and power transmission systems; mechanisms and machines for rural, agricultural and industrial applications; mechanisms for space applications; mechanisms for energy harvesting; robotics and automation; human-centric robotics; soft robotics; man-machine system, mechatronics and micro–mechanisms; CAD and CAGD; control of machines; vibration of machines & rotor dynamics; acoustic and noise; tribology; condition monitoring and failure analysis; fault diagnosis and health monitoring; biomedical engineering; and composites and advanced materials. Given the contents, the book will be useful for researchers and professionals working in the various domains of mechanical engineering.
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Fuzzy Systems Engineering
A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications have emerged. Now, this reader-friendly book presents an up-to-date approach to fuzzy systems engineering, covering concepts, design methodologies, and algorithms coupled with interpretation, analysis, and underlying engineering knowledge. The result is a holistic view of fuzzy sets as a fundamental component of computational intelligence and human-centric systems. Throughout the book, the authors emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.
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Advances in Geoengineering, Geotechnologies, and Geoenvironment for Earth Systems and Sustainable Georesources Management
This book comprises the peer-reviewed proceedings of the 1st Conference on Georesources, Geomaterials, Geotechnologies and Geoenvironment (4GEO), Porto, Portugal, on November 7–8, 2019. The book interests all researchers, practitioners, and students in engineering geosciences, geotechnics, georesources, materials engineering, and earth and environmental sciences.Georesources, geomaterials, geotechnologies, and geoenvironment are very topical subjects and therefore deserve a deeper reflection by academia, practitioners, and society. That approach is vital to a correct sustainable resource management and an engineering design with nature within a geoethical framework. Georesources, understood as geological, hydrological and energetic resources are greatly important to society. Minerals, rocks, and water are resources that, over time, have assumed an important role in the technological development of communities. Given the increase in population and the increasing needs and intensification of their use, it is very important to ensure their sustainable management. Geomaterials are functional geological materials artificially processed for the generality of the activities developed by societies. The functional geomaterials may include rock, clay, granular materials, treated soils, and industrial waste. Geotechnologies are a very important tool for decision-making, supporting the collection, mapping, processing, and analysis of data with geographical information systems and other geo-techniques used in the most diverse fields, including to support the monitoring and prediction of geohazards. The geoenvironment is a transversal field that identifies continuous earth changes and to find solutions to the resulting socioeconomic and environmental changes. Climate change, industrialization, and anthropic activity are, among others, factors of pressure and alteration of the natural environment, so minimizing impacts and emerging hazards and risks.Main topics include:1. Geomaterials, Geotechnics, and Georesources2. Geotechnologies, Engineering Geosciences, and Geohazards3. Geoenvironment, Water, and Climate Change
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UML for Systems Engineering
Up until a few years ago there were many different modelling languages available to software developers. However, this vast array of choice only served to hinder communication and as a result the Unified Modelling Language (UML) was born. Although the UML has its roots firmly in the software world, the benefits of adopting a standard visual notation have been recognised in many other fields, not least of which is the field of systems engineering. This book concentrates on systems-based applications, rather than the traditional software applications that are more usually associated with the UML. Now fully updated to reflect the changes to UML for its version 2.0 release, this new edition has been substantially re-written and includes new material on systems architectures and life cycle management.
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Engineering and Medicine in Extreme Environments
This book brings together in-depth information on a wide array of bio-engineering topics and their application to enhance human health, performance, comfort, and survival in extreme environments. Contributions from biomedical engineering, information systems, medicine and physiology, and medical engineering are presented in relation to a broad range of harsh and extreme environmental scenarios, including underwater, terrestrial (both natural and man-made), and space travel. Physicians, engineers, and scientists, as well as researchers and graduate students, will find the book to be an invaluable resource.Details effects of extreme environments on human physiology;Presents human-environment interaction in different scenarios;Overview of engineering challenges and problems in extreme environments.
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Smart Innovations in Energy and Mechanical Systems
This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions. Engineers and technicians involved in additive manufacturing will find relevant content in this book. It covers advanced techniques and applications of 3D printing in aerospace and mechanical engineering, offering a unique perspective on how these technologies are shaping the future of manufacturing. The book caters to professionals and students focusing on machine learning and artificial intelligence, particularly in industrial applications. It demonstrates how these technologies are being integrated into energy systems and mechanical engineering, providing real-world examples and potential future directions. Robotics enthusiasts and engineers will benefit from the book's coverage of cutting-edge developments in industrial and aerospace robotics. It offers insights into autonomous systems, control algorithms, and the integration of robotics in smart manufacturing environments. Graduate and undergraduate students in STEM fields beyond traditional engineering, such as computer science or data science, will find value in the book's interdisciplinary approach. It showcases how advanced computational methods are applied to solve complex engineering problems. This book is of interest to enterprises that are involved in the implementation of green energy technologies, resource-saving technologies, and support the concept of decarbonization of the energy system.
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Evolving Intelligent Environments
There is growing global interest in understanding how digital technologies and physical spaces, particularly within the framework of digital and green agendas, can transform cities, influence behaviour, and stimulate innovation. This book advances a novel and interdisciplinary framework for understanding intelligent environments, grounded in the concept of connected intelligence, the integration of human, collective, and machine intelligence.It explores how this integration operates within real-world smart ecosystems to drive transformative innovations in sustainability, carbon neutrality, urban efficiency, and liveability. Departing from approaches that treat intelligent systems as purely technological constructs, such as urban Artificial Intelligence (AI), cyber-physical infrastructure, digital twins, and machine learning vision, it reframes intelligent environments as socio-technical systems that remain fundamentally human-centric, even in the age of AI. It distinguishes itself from existing smart city literature, which often isolates digital technologies and IoT infrastructures for cities, by offering a comprehensive investigation of smart ecosystems as digital-institutional-physical (DIP) spaces; an analysis of real-world environments where connected intelligence is enacted, including industrial sectors evolving into smart-green ecosystems, platform services augmented by generative AI, carbon-neutral residential districts; and the development of a universal architecture of connected intelligence, applicable across diverse ecosystems.By bridging theory and practice and integrating technological, institutional, and territorial perspectives, the book introduces a conceptual and practical lens to understand how smart ecosystems enable ongoing transformative innovations that are reshaping the near future of cities and regions. It offers insights into how smart cities are evolving into intelligent environments and will serve as a valuable reference for researchers and students of innovation systems, smart city planning, urban, transportation and environmental planning, governance, computer science, and engineering.
R 8,572.00
Geotechnical Engineering
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Master the Latest Developments in Soil Testing and New Applications of Geotechnical Engineering Geotechnical Engineering: Principles and Practices offers students and practicing engineers a concise, easy-to-understand approach to the principles and methods of soil and geotechnical engineering. This updated classic builds from basic principles of soil mechanics and applies them to new topics, including mechanically stabilized earth (MSE), and intermediate foundations. This Fifth Edition features:Over 400 detailed illustrations and photographsUnique background material on the geological, pedological, and mineralogical aspects of soils with emphasis on clay mineralogy, soil structure, and expansive and collapsible soils.New coverage of mechanically stabilized earth (MSE); intermediate foundations; in-situ soil testing: statistical analysis of data; “FORE,” a scientific method for analyzing settlement; writing the geotechnical report; and the geotechnical engineer as a sleuth and expert witness.Get Quick Access to Every Soil and Geotechnical Engineering Topic• Igneous Rocks as Ultimate Sources for Soils • The Soil Profile • Soil Minerals • Particle Size and Gradation • Soil Fabric and Soil Structure • Soil Density and Unit Weight • Soil Water • Soil Consistency and Engineering Classification • Compaction • Seepage • Stress Distribution • Settlement • Shear Strength • Lateral Stress and Retaining Walls • MSE Walls and Soil Nailing • Slope Stability, Landslides, Embankments, and Earth Dams • Bearing Capacity of Shallow Foundations • Deep Foundations • Intermediate Foundations • Loads on Pipes • In-Situ Testing • Introduction to Soil Dynamics • The Geotechnical Report
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Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering
Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.
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Fundamentals of Sustainable Drilling Engineering
The book clearly explains the concepts of the drilling engineering and presents the existing knowledge ranging from the history of drilling technology to well completion. This textbook takes on the difficult issue of sustainability in drilling engineering and tries to present the engineering terminologies in a clear manner so that the new hire, as well as the veteran driller, will be able to understand the drilling concepts with minimum effort. This textbook is an excellent resource for petroleum engineering students, drilling engineers, supervisors & managers, researchers and environmental engineers for planning every aspect of rig operations in the most sustainable, environmentally responsible manner, using the most up-to-date technological advancements in equipment and processes.
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Man-Machine Interactions 2
Man-machine interaction is the interdisciplinary field, focused on a human and a machine in conjunction. It is the intersection of computer science, behavioural sciences, social psychology, ergonomics, security. It encompasses study, design, implementation, and evaluation of small- and large-scale, interacting, computing, hardware and software systems dedicated for human use. Man-machine interaction builds on supportive knowledge from both sides, the machine side providing techniques, methods and technologies relevant for computer graphics, visualisation, programming environments, the human side bringing elements of communication theory, linguistics, social sciences, models of behaviour. The discipline aims to improve ways in which machines and their users interact, making hardware and software systems better adapted to user's needs, more usable, more receptive, and optimised for desired properties. This monograph is the second edition in the series, providing the reader with a selection of high-quality papers dedicated to current progress, new developments and research trends in man-machine interactions area. In particular, the topical subdivisions of this volume include human-computer interfaces, robot control and navigation systems, bio-data analysis and mining, pattern recognition for medical applications, sound, text and image processing, design and decision support, rough and fuzzy systems, crisp and fuzzy clustering, prediction and regression, algorithms and optimisation, and data management systems.
R 14,274.17
Sustainable Engineering
Sustainable engineering is of great importance for resilient and agile technology and society. This book balances economics, environment, and societal elements of sustainable engineering by integrating process intensification, energy analysis, and artificial intelligence to reduce production costs, improve the use of material and energy, product quality, safety, societal well-being, and water usage. The book provides comprehensive discussion of topics on process intensification, energy analysis, and artificial intelligence that include optimization, energy integration, green engineering, pinch analysis, exergy analysis, feasibility analysis, life cycle assessment, circular economy, bioeconomy, data processing, machine learning, expert systems, digital twins, and self-optimized plants for sustainable engineering.
R 9,158.00
Engineering of Intelligent Systems
This book constitutes the refereed proceedings of the 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Export Systems, IEA/AIE 2001, held in Budapest, Hungary in June 2001. The 104 papers presented were carefully reviewed and selected from a total of 140 submissions. The proceedings offer topical sections on searching, knowledge representation, model-based reasoning, machine learning, data mining, soft computing, evolutionary algorithms, distributed problem solving, export systems, pattern and speech recognition, vision language processing, planning and scheduling, robotics, autonomous agents, design, control, manufacturing systems, finance and business, software engineering, and intelligent tutoring.
R 4,736.97
R 305.00
Harnessing Machine Learning for Environmental Restoration and Surveillance
Harnessing Machine Learning for Environmental Restoration and Surveillance is an extensive and comprehensive book, showcasing the applications of machine learning and artificial intelligence in environmental monitoring of the quality of air, soil and water, prediction of environmental risks, optimisation and prediction of remediation processes and enhancement of resource management.The book offers readers an opportunity to understand how contemporary smart technology (machine learning and artificial intelligence) can be used to safeguard and improve our environment as well as to solve environmental problems and provide sustainable solutions. It offers insight and an opportunity to evaluate theoretical concepts and real-world case studies, thereby boosting innovation and collaboration. The authors give modest explanations of how artificial intelligence and machine learning can monitor pollution, forecast environmental hazards, and support the optimisation process for the effective removal of environmental contaminants. Real-world examples where these advanced smart technology tools have been successfully utilised are also presented in this book.The content and coverage of this academic text are ideal for undergraduate and postgraduate students, researchers, professionals in environmental science, data science, and engineering, as well as individuals interested in the environment and technology.
R 6,118.00
Innovations and Sustainability in Civil Engineering: Shaping Tomorrow’s Infrastructure Volume 5
This book represents a seminal collection of advanced research, novel methodologies, and transformative practices within the domains of water resources engineering, hydraulic engineering, and hydrology, with a strong emphasis on the integration of artificial intelligence and machine learning (AI/ML) in civil engineering.This book embodies the progressive vision and interdisciplinary dialogue of a global academic and professional community committed to revolutionizing water infrastructure and management systems for a resilient and sustainable future. The compendium explores contemporary issues and scientific breakthroughs across a diverse range of topics such as hydrologic modeling, flood forecasting and mitigation, watershed management, groundwater assessment, climate-resilient water infrastructure, and urban storm water systems. It offers comprehensive insights into the design and optimization of hydraulic structures, sediment transport dynamics, erosion control, river engineering, and eco-hydraulics. Special attention is given to sustainable water resource planning, water quality modeling, and integrated water management strategies, reflecting the urgent need for adaptive solutions in the face of climate change and urban expansion.A significant dimension of this volume is the exploration of AI/ML-driven approaches in civil and water resources engineering. Contributions demonstrate how machine learning algorithms, deep learning models, and data-driven techniques are revolutionizing flood prediction, rainfall-runoff modeling, real-time monitoring, water distribution networks, and decision support systems. These innovations enable more accurate forecasting, enhanced system efficiency, and informed policy making. Serving as an essential reference for researchers, academicians, industry professionals, and policymakers, this book offers a deep dive into state-of-the-art technologies and sustainable practices shaping the next generation of water infrastructure. The breadth and depth of its contributions provide actionable knowledge and strategic insights, fostering a sustainable, data-smart approach to water and hydraulic systems in a rapidly evolving environmental and technological landscape.
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Maritime Systems, Transport and Logistics IІ
This book is an interdisciplinary collective scientific work focused on the latest concepts, models and practices that determine the current vector of development of marine engineering, navigation, power systems and safety management systems. Organised in 18 chapters, the materials cover both high-tech developments (digital twins, adaptive DSS, navigation algorithms using satellite data) and issues of regulatory, environmental and organisational support for maritime operations. The synthesis of engineering, information and legal approaches gives the book not only scientific value, but also significant applied potential.The book also demonstrates an interdisciplinary approach, combining engineering, information, environmental and legal aspects in addressing current challenges in the maritime industry. The topics covered include human factor risk management, implementation of fuzzy algorithms in course control systems, adaptation of satellite navigation systems to improve positioning accuracy, as well as energy modelling of DP systems and development of specialized training platforms. The book is a valuable resource for researchers, marine engineers, control system developers, educators and anyone involved in the transformation of the maritime industry in the face of increasingly complex operations and global sustainability challenges.The chapters cover a wide range of issues: from conceptual models of integrated safety management of maritime operations to applied solutions for the transportation of project cargo, emission reduction, efficient use of alternative fuels and hybrid energy systems. The book focuses on developing and implementing probabilistic estimates in the marine environment as a tool for failure prediction, building response scenarios and real-time decision support, modelling crew reactions, automatic generation of scenario tree branches based on real-life operational patterns and forming multifactorial ship situational profiles.The book also presents research on the automation of navigation support. This includes the construction of digital routes based on bottom morphology, storm warnings and centre of mass changes.
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R 763.00
System Engineering Approach to Disaster Resilience
This book presents the select proceedings of the Virtual Conference on Disaster Risk Reduction (VCDRR 2021). It emphasizes on the role of civil engineering for a disaster resilient society. Various topics covered in this book are risk assessment, prevention, mitigation, preparedness and response, early warning system, hazard mapping, engineering innovations for hazard mitigation, and safe design of structures. This book is a comprehensive volume on disaster risk reduction (DRR) and its management for a sustainable built environment. This book will be useful for the students, researchers, policy makers and professionals working in the area of civil engineering, especially disaster management.
R 8,064.78
Engineering Artificially Intelligent Systems
Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time.To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.
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R 2,849.00
Prognostics and Health Management of Engineering Systems
This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:• Prognostics tutorials using least-squares• Bayesian inference and parameter estimation• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter• Data-driven prognostics algorithms including Gaussian process regression and neural network• Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well asresearchers and maintenance engineers in the above fields.
R 4,762.00
