Books published by Springer

How Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few. Moreover, there is ample evidence that further research on GA and related areas can significantly expand the number of real-world applications in a wide variety of areas. A mathematical system that is very easy to handle, highly robust and superior performance for engineering applications. Good thematic introduction for engineers and researchers new to the subject. Extensive illustrations and code examples. Thematically well structured with many hands on examples. Learning about GA and how to use it for daily tasks in engineering research and development.

Cultivated meat is an emerging substitute for conventional meat that is not associated with animal farming and slaughtering. Instead, animal cells are cultivated in bioreactors and post-processed into "artificial" meat products. Although this new technology solves several ethical and environmental problems, there are techno-economic challenges that need to be addressed to make the commercial-scale production of cultivated meat a real perspective. This book addresses fundamental aspects of new food systems, animal cell culture and cultivated meat production, including cell lines, culture media, microcarriers and scaffolds, bioreactors, downstream processes, formulation, packaging, quality control, scale-up, and waste management. Also, aspects related to commercialization, market, patents, legislation, global and regional policies, and sustainability metrics such as life-cycle assessment, together with a bioeconomy perspective analysis, are reviewed. Finally, case studies are presented and the challenges and future prospects for cultivated meat production are proposed. This book is a collection of 20 chapters written by specialists in the field.

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems in dozens of areas many of which are covered in this text. These include simulation, optimization, finance, statistical mechanics, birth and death processes, Bayesian inference, quadrature, gambling systems and more.This text is for students of engineering, science, economics and mathematics who want to learn about Monte Carlo methods but have only a passing acquaintance with probability theory. The probability needed to understand the material is developed within the text itself in a direct manner using Monte Carlo experiments for reinforcement. There is a prerequisite of at least one year of calculus and a semester of matrix algebra.Each new idea is carefully motivated by a realistic problem, thus leading to insights into probability theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. All examples in the text are coded in Python as a representative language; the logic is sufficiently clear so as to be easily translated into any other language. Further, Python scripts for each worked example are freely accessible for each chapter. Along the way, most of the basic theory of probability is developed in order to illuminate the solutions to the questions posed. One of the strongest features of the book is the wealth of completely solved example problems. These provide the reader with a sourcebook to follow towards the solution of their own computational problems. Each chapter ends with a large collection of homework problems illustrating and directing the material. This book is suitable as a textbook for students of engineering, finance, and the sciences as well as mathematics. The problem-oriented approach makes it ideal for an applied course in basic probability as well as for a more specialized course in Monte Carlo Methods. Topics include probability distributions, probability calculations, sampling, counting combinatorial objects, Markov chains, random walks, simulated annealing, genetic algorithms, option pricing, gamblers ruin, statistical mechanics, random number generation, Bayesian Inference, Gibbs Sampling and Monte Carlo integration.

This book presents a multidisciplinary approach to digital transformation process of organizational transformation, offering support throughout the implementation process to all those interested. The digital transformation (DT) is a priority for many companies in the context of technological evolution. The use of appropriate tools, methodologies, methods, approaches, and techniques for DT, depending on the organizational characteristics, can contribute to a complete approach to organizational processes and to their efficiency. Digital transformation involves the adoption and use of new digital technologies to develop new products and services, modify existing ones and develop new business models to increase efficiency, productivity, and competitiveness. Starting from marketing to culture and education to health, automotive, engineering, mobility and human resources and others, it is addressed to professionals, practitioners, researchers, students, and other interested parties.

This book provides guidance and insight into the development process for safety indicators to comply with general classification rule requirements. The utilisation of this guidance will provide tangible benefits as the marine and offshore industry is able to realise the positive results of tangible safety indicators that are developed correctly and managed appropriately throughout the lifecycle of the vessel or platform. In the marine and offshore industry, design and equipment configurations vary from one system to the next, and systems are in many cases increasingly complex. There are gaps in codes and standards which may lag technological innovations and there are issues related to interfaces between systems. Safety indictors such as risk analyses, FMEA, job safety analyses, management of change procedures, HSQE, technical manuals and reliability-based maintenance provide a formalised approach to identify hazardous situations, address the gaps and interconnection variances, and improve safety, environmental performance and operational downtime. The majority of Classification Societies ('Class') require their clients to develop and submit safety indicators as part of the classification requirements for certain systems and to obtain certain special notations.

This textbook provides researchers, post-graduate students, and practitioners with a systematic framework for coping with uncertainty when making facility location decisions. In addition to in-depth coverage of models and solution techniques, application areas are discussed. The book guides readers through the field, showing how to successfully analyze new problems and handle new applications. Initially, the focus is on base models and concepts. Then, gradually, more comprehensive models and more involved solution algorithms are discussed. Throughout the book, two perspectives are intertwined: the paradigm for capturing uncertainty, and the facility location problem at hand. The former includes stochastic programming, robust optimization, chance-constrained programming, and distributional robust optimization; the latter includes classical facility location problems and those arising in many real-world applications such as hub location, location routing, andlocation inventory.

This book collects the edited and reviewed contribution presented in the 10th iTi conference in Bertinoro, covering fundamental and applied aspects in turbulence. In the spirit of the iTi conference, the book is produced after the conference so that the authors had the opportunity to incorporate comments and discussions raised during the meeting. The iTi has become an established biannual conference on turbulence research with 80 to 100 participants and places value on creating an environment to stimulate discussions and personal contacts in the beautiful town of Bertinoro in Northern Italy close to Bologna, continuing a tradition that has started in Bad Zwischenahn/Germany with the first edition of the conference in 2003. The content-related focus areas of the conference are the interdisciplinary aspects of turbulence, defining the abbreviation iTi¿interdisciplinary turbulence initiative. iTi attracts scientist from the engineering, physics, and mathematics communities.

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then moves on to problems in quantitative language processing. After discussing the challenging task of text mining in relation to emotional and sentiment analyses, the book concludes with a collection of studies in the social sciences and public health which apply textual data analysis methods.The refereed contributions were originally presented at the 16th International Conference on Statistical Analysis of Textual Data (JADT 2022), which took place in Naples, Italy, on July 6-8, 2022. The biennial JADT meeting discusses theories, problems, and practical uses of textual data analysis in various fields, sharing a quantitative approach to the study of lexical, textual, pragmatic or discursive features of information expressed in natural language.

This book delves into the p-adic Simpson correspondence, its construction, and development. Offering fresh and innovative perspectives on this important topic in algebraic geometry, the text serves a dual purpose: it describes an important tool in p-adic Hodge theory, which has recently attracted significant interest, and also provides a comprehensive resource for researchers. Unique among the books in the existing literature in this field, it combines theoretical advances, novel constructions, and connections to Hodge-Tate local systems.This exposition builds upon the foundation laid by Faltings, the collaborative efforts of the two authors with T. Tsuji, and contributions from other researchers. Faltings initiated in 2005 a p-adic analogue of the (complex) Simpson correspondence, whose construction has been taken up in several different ways. Following the approach they initiated with T. Tsuji, the authors develop new features of the p-adic Simpson correspondence, inspired by their construction of the relative Hodge-Tate spectral sequence. First, they address the connection to Hodge-Tate local systems. Then they establish the functoriality of the p-adic Simpson correspondence by proper direct image. Along the way, they expand the scope of their original construction. The book targets a specialist audience interested in the intricate world of p-adic Hodge theory and its applications, algebraic geometry and related areas. Graduate students can use it as a reference or for in-depth study. Mathematicians exploring connections between complex and p-adic geometry will also find it valuable.

Unlike the structured world of computer science, biology is complex, evolving, and often lacks clean abstract models. This book aims to serve as a guide for computer scientists who need to understand cell biology, breaking the field into three parts: biological mechanics, experimental methods, and language/nomenclature. While biological mechanics, which investigates cellular-level details, is covered by many texts, this book also focuses on experimental methods - how biologists conduct experiments and gather data - and on helping the reader understand the language and terminology of biology, which is rich but challenging for non-biologists. A Computer Scientist's Guide to Cell Biology uses a metaphor of biology as a strange land with an unfamiliar language and customs. The goal of the book is to provide a high-level introduction to cell biology, simplifying concepts and relating them to familiar ideas from computer science, so that working computer scientists can more effectively understand read recent research papers and results.This Second Edition contains a number of updates, including discussions of CRISPR, advances in DNA Sequencing, and mRNA vaccines. It serves as an easy-to-read travel guide for computer scientists navigating the intricate and sometimes perplexing terrain of cell biology, offering insights into experimental methods and helping bridge the gap between the structured world of computer science and the complexities of biological systems.

This book explores the multiple facets of habit from diverse and complementary theoretical frameworks. It provides a complete overview of the cognitive, computational, and neural processes underlying the formation of distinct forms of habit. The objective of the book is to cover (1) the multiple definitions of the habit construct and the relation between different habit-related concepts, (2) the underlying brain circuits of habits, and (3) the possible involvement of habits in psychiatric disorders such as alcohol and substance use disorder. This book will be of interest to all researchers in behavioral and computational neuroscience, psychology, and psychiatry who are interested in associative learning and decision making, under normal and pathological conditions.

This book explores the possibility of building the resilience of the UNESCO cultural landscapes, both using theoretical conceptions and practical strategies and actions. Two case studies have been selected, one in Italy and one in China, which have then been explored for the first time in such a comparative way. Different notions of landscape, as well as the driving force of changes affecting these landscapes, are examined and compared. Moreover, the perceptions of the local communities regarding these landscapes are examined, using online questionnaires with over 400 participants. This research highlights the need for an integrated management system, building stronger rural communities able to manage change and continuity. Five pillars to build the resilience of these landscapes have been provided, with schemes and figures, requiring a people-centered approach in their management. This book demonstrates strong connections between identity and landscape resilience, especially in inlandareas where the sense of identity is most prominent. Furthermore, it is structured to make it possible to replicate this investigation in ordinary case studies, i.e. ordinary landscapes. Scholars and professionals interested in cultural landscapes and heritage conservation are target of this book, as well as site managers.

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life sciences. It presents an intuitive and unified discussion of an array of themes in categorical data analysis, and the emphasis on structure over stochastics renders many of the methods applicable in machine learning environments and for the analysis of big data. The book focuses on graphical models, their application in causal analysis, the analytical properties of parameterizations of multivariate discrete distributions, marginal models, and coordinate-free relational models. To guide the readers in future research, the volume provides references to original papers and also offers detailed proofs of most of the significant results. Like the previous volume, it features exercises and research questions, making it appropriate for graduate students, as well as for active researchers.

This open access book is an exploration of city responses to migrants with a precarious status in Europe. It provides new evidence and analysis from research on three cities in Austria, Germany and the UK: Vienna, Frankfurt and Cardiff. The book explores strategies and services of municipal authorities towards precarious migrants and their cooperation with non-governmental organisations (NGOs) in service provision. It focuses on healthcare, education, housing and access to advice; and particular attention is given to the situation of women.The book develops the concept of precarity in relation to migration status, and of horizontal governance arrangements within municipal authorities. It explores the tension between exclusion and inclusion of migrants who have limited rights of access to welfare services, and contributes evidence on the factors shaping municipal policy making, as well as on the framing of rationales for providing access to essential services.

The introduction and a theoretical summary of language anxiety research (Chapter 1) are followed by four chapters: Chapter 2 presents a meta-analysis of the widely used Foreign Language Classroom Anxiety Scale¿s (Horwitz, et al., 1986) factorial structure; Chapter 3 reports on a validation study of the Hungarian version of MacIntyre and Gardner¿s (1994) Input, Process, and Output Anxiety Scales; Chapter 4 presents the development of a skills-based anxiety questionnaire through a three-phased study consisting of an exploratory qualitative phase as well as two quantitative phases using Rasch analysis; and Chapter 5 focuses on empirical approaches available for tapping into the dynamic change of this emotion, including the idiodynamic method and quantitative analyses such as latent growth curve modeling and dynamic cluster analysis.

Artificial intelligence (AI) has the potential to radically transform our society. It may lead to a massive increase in the capabilities of humankind and allow us to address some of our most intractable challenges. It may also entail profound disruption to structures and processes that have sustained our society over centuries. These developments present a unique challenge to the socio-economic constitutional arrangements which govern our world at national, regional and international level. The deployment of increasingly powerful AI systems, able to function with increasing degree of autonomy, has led to concerns over loss of human control of important societal processes, over the disruption of existing economic, social and legal relationships, and over the empowerment of some societal actors at the expense of others, together with the entrenchment of situations of domination or discrimination. It has also made increasingly clear how tremendous the potential benefits, that these technologies may bring, are to those who successfully develop and deploy them. There is therefore great pressure on governments, international institutions, public authorities, civil society organisations, industry bodies and individual firms to introduce or adapt mechanisms and structures that will avoid the potentially negative outcomes of AI and achieve the positive ones. These mechanisms and structures, which have been given the umbrella term 'AI governance', cover a wide range of approaches, from individual firms introducing ethical principles which they volunteer to abide by, to the European Union legislating an AI Act, which will prohibit certain types of AI applications and impose binding obligations on AI developers and deployers. The fast pace of innovation in the development of AI technologies is mirrored by the fast pace of development of the emerging field of AI governance, where traditional legislation by public bodies is complemented with more innovative approaches, such ashybrid and adaptive governance, ethical alignment, governance by design and the creation of regulatory sandboxes. The chapter "AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book provides a comprehensive exploration of SU-Field Analysis, a groundbreaking framework that delves into the intricate realms of fields, substances, and interactions. It commences with an introduction to the fundamental concepts (Chapter 1), followed by an elucidation of the basic configurations (Chapter 2) and an in-depth examination of various SU-Field systems (Chapter 3). Within Chapter 3, the text delves into the SU-Field model for fields, types of SU-Field systems for measurement and detection, and various SU-Field models. Subsequently, the book delves into the critical subject of eliminating harmful interactions (Chapter 4), discussing trends, introducing innovative solutions like S3, and exploring the use of substances and fields to decelerate detrimental effects. In Chapter 5, the focus shifts to finding desired effects, while Chapter 6 unveils the Law of Increasing Degree of SU-Field, elucidating its general trends and the forcing of substances and fields. Further insights into this law are presented in Chapter 6.4. Additionally, the book touches upon SU-Field Analysis in the context of information systems (Chapter 7) and introduces a new SU-Field structure (Chapter 8). The latter includes discussions on general concepts, parametric analysis, patterns of control elements, energy and information control, knowledge development, and structural analysis of information processing systems. Throughout, the book offers readers a comprehensive and detailed understanding of SU-Field Analysis, making it an invaluable resource for those seeking to explore this groundbreaking field.

The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment.In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-

This is the 28th issue of the Springer's series Eurasian Studies in Business and Economics, which is the official book series of the Eurasia Business and Economics Society (EBES, www.ebesweb.org). This issue includes selected papers presented at the 41st EBES Conference - Berlin that was held on October 12-14, 2022 and jointly be organized with GLO (The Global Labor Organization) and in collaboration with the FOM University of Applied Sciences. The conference was held both in hybrid with both in-person and online paper presentation format.

Traditionally, real estate has been burdened by challenges such as illiquidity, limited accessibility, opacity, complex transactions, high costs, and substantial capital requirements. However, tokenization emerges as a potential solution to many of these issues. In this book, the authors thoroughly investigate the innovative concept of tokenization in the real estate domain. Tokenization involves digitizing real estate assets and ownership, complemented by fractionalization, facilitated through blockchain technology. The book elucidates the fundamental principles, technologies, opportunities, and impediments associated with real estate tokenization. To fully capitalize on the theoretical advantages, the book furnishes specific recommendations for the overall market landscape and active participants, providing crucial guidance to encourage wider adoption and successful realization of the benefits offered by tokenized real estate.

This text is the first comprehensive attempt in decades to integrate reading into the philosophical discussion of the synthesis of experience more generally. It offers a comprehensive critique of three disciplinary approaches to reading: philosophical, literary and empirical/neuroscientific, while developing an innovative and unifying phenomenological account. It discusses texts from a variety of contemporary and historical contexts. It is inclusive, treating non-fiction alongside fiction, literary art alongside everyday texts, and narrative alongside thematic discourse. It addresses all reading practices found today: casual and unreflective reading, close and scholarly reading with re-reading, the analysis of literary art, and sacred text study and memorization. In the current intellectual landscape, the book is unique in bringing all these aspects together in a philosophically coherent discussion. The book provides a critique of philosophical accountsof text meaning and linguistic experience by philosophers from Husserl and Ingarden to Sartre, Merleau-Ponty, Arendt, Gadamer and Derrida, and examines the positions of contemporary 'naturalizing' phenomenologists, such as Varela and Thompson. Also treated are neuroscientists such as Dehaene, and theorists of consciousness such as Kintsch, Flanagan and Dennett. Finally, this volume engages with psychological, linguistic, structuralist, 'theory of mind' and 'experiential' approaches in literary studies, from Bühler and Hamburger to Fludernik, Herman and Kuzmičová. It appeals to students and researchers working in these fields.

This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as wellas undergraduate university courses.

This book analyzes how children and adolescents aged between 10 and 17 engage with digital advertising and highlights the importance of promoting advertising literacy to help young audiences recognize advertising and distinguish it from other media content in the digital age. As the advertising sector evolves, incorporating new formats like branded content and influencer marketing, the frontiers between commercial content and regular media become blurred, posing a challenge for children and adolescents to discern persuasive intent in advertising and distinguish advertising from other media content. In this context, it is crucial to assess children and adolescents' preparedness to navigate digital advertising effectively by understanding their level of advertising literacy. With a higher level of advertising literacy, young audiences can evaluate advertisements, considering factors such as product appeal, presentation, and relevance to their experiences, as well as grasp thepurpose behind advertising and the techniques employed. This contributed volume brings together empirical studies and literature reviews to present an overview of the current research on advertising literacy among boys and girls aged between 10 and 17 in different countries to help educators, policymakers, advertisers, and society at large collaborate in nurturing responsible, informed, and ethically conscious digital citizens. Advertising Literacy for Young Audiences in the Digital Age: A Critical Attitude to Embedded Formats will be of interest to researchers working with media education, media sociology and childhood and adolescence studies. It will also help educators and policymakers develop better strategies to prepare children and adolescents to navigate digital advertising effectively.

The book focuses on the open challenges associated with the convergence of the Internet of Things and Artificial Intelligence, as accommodated in 6G architecture. The authors discuss how in many fields, such as Natural Language Processing (NLP), interactive computer games, robotics, and multiuser virtual environments, this convergence is likely to have enormously benefits, from artificial intelligence mimicking human intelligence, attempting to simulate human intelligence, and producing a new intelligent machine capable of processing information with human consciousness, behaviour, and thinking integrated with appropriate algorithms. The book provides users with the fundamentals of IoT architecture, AI technology, and the architecture of AI and IoT converged networks. Furthermore, to provide hands-on experience with the technology, some proposed systems are discussed, along with their applications in various sectors such as healthcare, transportation, smart homes, production, manufacturing, renewable energy and agriculture. The book will discuss new technological advances, current research trends, and industry requirements. Discussed open challenges in the field will motivate researchers and stakeholders in industry to provide solutions, with some presented in the book to help spark ideas.

The financial system is currently confronted with tremendous challenges from the global economy, trade, politics, demographics, and most recently from enormous technological advancements. These developments have the capacity to change the existing financial system fundamentally. This book addresses how technological developments and digitalization will impact the future of financial systems. This book is based on the results of a series of ten roundtables with high-level experts on the future of the financial system. Experts from academia, supranational institutions, central banks, commercial banks, regulators, start-ups, technology companies, venture capital firms, think tanks, foundations, and other visionaries from five continents developed potential scenarios of the financial system 2030 over a time horizon of five years. The book presents the results of these discussions, which are structured along the 'Vaduz Architecture'. This newly introduced concept distinguishes different dimensions for the future financial system, including information technologies, nation states and (de-) regulation.

This book collects a selection of papers presented at ELECTRIMACS, 2022 the14th international conference of the IMACS TC1 Committee, held in Nancy, France, on 17st-21rd May 2022. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy systems, energy storage, batteries, supercapacitors and fuel cells, and wireless power transfer. The contributions included in Volume 2 are particularly focused on methodological aspects, modelling, and applied mathematics in the field of electrical engineering.

This open access book brings together different perspectives on migration and the city that are usually discussed separately, to show the special character of the urban context as a territorial and political space where people coexist, whether by choice or necessity. Drawing on heterogeneous situations in cities in different world regions (including Europe, North America, the Middle East, South, Southeast and East Asia and the Asia Pacific) contributions to this volume examine how migration and the urban context interact in the twenty-first century. The book is structured in four parts. The first looks at cities as hubs of cultural creativity, exploring the many dimensions of cultural diversity and identity as they are negotiated in the urban context. The second focuses on what lies outside the large urban centres of today, notably suburbs, while the third part engages with migration and diversity in small and mid-sized cities, many of which have adopted strategies to welcome growing numbers of migrants. Last but not least, the fourth part looks at the challenges and opportunities that asylum-seeking and irregular migration flows bring to cities. By providing a variety of empirical cases based on various world regions, this book is a valuable resource for researchers, students and policy makers.

This LNCS conference volume constitutes the proceedings of the 20th International Symposium, ARC 2024, in Aveiro, Portugal, in March 2024. The 16 full papers together with 5 papers from the technical program included in this volume were carefully reviewed and selected from 24 submissions. The conference focuses on the application and development of reconfigurable computing techniques, fault-tolerance, data, and graph processing acceleration to computer security.

This book provides students with the fundamental concepts and stages of strategic management and planning in organizations with essential tools to make decisions in order to remain competitive in the business world of today. It offers an introduction to the key topics and themes of organizational and competitive strategies and provides a panoramic view of the changing corporate environment. The author draws on insights from various typical functional courses, such as marketing, finance, and accounting, to help students understand how top executives and managers make the strategic decisions that drive successful businesses. Students learn how to conduct a case analysis, measure organizational performance, and conduct external and internal analyses. The book features learning objectives, glossaries, and real cases related to the content of each chapter. The book also features discussions on the execution and evaluation of organizational performance; environment, social, and governance (ESG); and decision and risk analysis. This book is useful for upper undergraduate and graduate level courses in strategic planning and management, business administration, decision making, and business strategy.

This book examines the issue of solid waste generation and management as a worldwide phenomenon, focusing on strategies that facilitate the disposal and utilization of waste while ensuring environmental integrity and meeting the needs of future generations. The process of urbanization, particularly in densely populated cities, has resulted in a notable increase in the production of solid waste. Unfortunately, the current management system employed by the government, as well as the available resources and technical capabilities, is insufficient in effectively addressing this issue. As a result, the accumulation of solid waste in the environment continues to rise, causing adverse impacts on both the natural surroundings and human well-being. The contamination of the air, soil, and water directly stems from this mounting waste. To confront this global challenge, determined efforts are being made to manage and diminish the volume of solid waste, with the ultimate goal of safeguarding the environment and preserving the welfare of future generations. Furthermore, the book delves into various sustainable development approaches, such as Gasification and Ash Melting, Anaerobic Digestion, and Composition. Additionally, it highlights the recent advancements in these techniques by scientists, which contribute to promoting sustainable solid waste management.