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Next Generation Data Science: Second Southwest Data Science Conference, SDSC 2023, Waco, TX, USA, March 24–25, 2023, Revised Selected Papers (Communications in Computer and Information Science #2113)
by Henry Han Erich BakerThis book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March 24-25, 2023. The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering.
Maths — No Problem! Workbook 1A: (pdf) (Maths — No Problem! English National Curriculum)
by Adam Gifford Michelle Hayfron"Maths — No Problem! is a series of textbooks and workbooks written to meet the requirements of the English National Curriculum and all subsequent non-statutory requirements. The focus of the series is on teaching to mastery. This research-based approach emphasises problem solving and utilises pupils’ core competencies to develop a relational understanding of mathematical concepts."
Maths — No Problem! Textbook 1A: (pdf) (Maths — No Problem! English National Curriculum)
by Adam Gifford Michelle Hayfron"Maths — No Problem! is a series of textbooks and workbooks written to meet the requirements of the English National Curriculum and all subsequent non-statutory requirements. The focus of the series is on teaching to mastery. This research-based approach emphasises problem solving and utilises pupils’ core competencies to develop a relational understanding of mathematical concepts."
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
by Masashi SugiyamaReinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. The book provides a bridge between RL and data mining and machine learning research.
Stochastic Optimization Methods: Applications in Engineering and Operations Research
by Kurt MartiThis book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into corresponding deterministic problems.Due to the probabilities and expectations involved, the book also shows how to apply approximative solution techniques. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, and differentiation formulas for probabilities and expectations.The fourth edition of this classic text has been carefully and thoroughly revised. It includes new chapters on the solution of stochastic linear programs by discretization of the underlying probability distribution, and on solving deterministic optimization problems by means of controlled random search methods and multiple random search procedures. It also presents a new application of stochastic optimization methods to machine learning problems with different loss functions. For the computation of optimal feedback controls under stochastic uncertainty, besides the open-loop feedback procedures, a new method based on Taylor expansions with respect to the gain parameters is presented. The book is intended for researchers and graduate students who are interested in stochastics, stochastic optimization, and control. It will also benefit professionals and practitioners whose work involves technical, economicand/or operations research problems under stochastic uncertainty.
Industry and Innovation: Textile Industry (SDGs and Textiles)
by José Moleiro MartinsThe primary objective of this book is to offer readers an insightful exploration into the realms of innovation and sustainability within the textile industry. As global competition intensifies, organizations are increasingly compelled to revisit and refine their business strategies, emphasizing the imperative for continuous innovation and adaptability. This shift towards innovation-centric strategies is driven by the pursuit of sustainability and a competitive advantage, underscoring innovation as the cornerstone for business growth and market expansion. Innovation not only opens avenues for companies to overhaul their business models and enhance process technologies but also enables them to achieve optimal productivity and minimize waste. In an era characterized by swift technological advancements, the demand for rapid information flow, and evolving consumer preferences, a firm’s capability to innovate emerges as a critical determinant of its growth, sustainability, and competitive positioning in the textile sector. Process innovation, which entails the adoption of novel or significantly improved manufacturing or delivery methodologies, plays a pivotal role. This could involve substantial modifications in techniques, equipment, and/or software, aimed at bolstering production efficiency, augmenting quality, or facilitating the creation and delivery of significantly improved or new products. Manufacturing firms, through their marketing departments, are in a constant quest for opportunities to develop new products to maintain their competitive edge. Organizations that lag in embracing innovation risk losing their market share and profitability as competitors seize the opportunity to outperform them. A firm’s innovative capabilities are instrumental in fostering long-term market sustainability and business growth by delivering unparalleled value to customers. Consequently, innovation is integral to corporate strategies for a myriad of reasons – from achieving more efficient production processes and enhancing market performance to cultivating a forward-thinking brand image and securing a sustainable competitive advantage.
New Frontiers in Number Theory and Applications (Trends in Mathematics)
by Jordi Guàrdia Nicuşor Minculete Diana Savin Montserrat Vela Abdelkader ZekhniniThis contributed volume presents recent advances as well as new directions in number theory and its applications. Algebraic and analytic number theory are the main focus with chapters showing how these areas are rapidly evolving. By gathering authors from over seven countries, readers will gain an international perspective on the current state of research as well as potential avenues to explore. Specific topics covered include:Algebraic Number TheoryElliptic curves and CryptographyHopf Galois theoryAnalytic and elementary number theory and applicationsNew Frontiers in Number Theory and Applications will appeal to researchers interested in gaining a global view of current research in number theory.
Perturbed Functional Iterations: A Matrix Free Large-Scale Nonlinear System Solver in Applied Science with an Introduction to D-Mapping (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Suhrit DeyPerturbed functional iterations (PFI) is a large‑scale nonlinear system solver. Nature is abundant with events simulated mathematically by nonlinear systems of equations and inequalities. These we call nonlinear models. Often, they are ill‑conditioned, meaning small changes in data causing huge changes in the output. PFI, previously called the perturbed iterative scheme (PIS), is a numerical method to solve nonlinear systems of equations in multidimensional space. Computational results demonstrate that this numerical method has some unique features, which have made it more practical for applications in engineering and applied mathematics. This book will guide readers in the proper use of PFI, both in theoretical and practical settings. Features: Ideal resource for postgraduates and professional researchers in science and engineering working in nonlinear systems Algorithmically simple enough for engineers and applied scientists to write their own software based on the contents
Perturbed Functional Iterations: A Matrix Free Large-Scale Nonlinear System Solver in Applied Science with an Introduction to D-Mapping (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Suhrit DeyPerturbed functional iterations (PFI) is a large‑scale nonlinear system solver. Nature is abundant with events simulated mathematically by nonlinear systems of equations and inequalities. These we call nonlinear models. Often, they are ill‑conditioned, meaning small changes in data causing huge changes in the output. PFI, previously called the perturbed iterative scheme (PIS), is a numerical method to solve nonlinear systems of equations in multidimensional space. Computational results demonstrate that this numerical method has some unique features, which have made it more practical for applications in engineering and applied mathematics. This book will guide readers in the proper use of PFI, both in theoretical and practical settings. Features: Ideal resource for postgraduates and professional researchers in science and engineering working in nonlinear systems Algorithmically simple enough for engineers and applied scientists to write their own software based on the contents
Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation: 20th IFIP WG 5.1 International Conference, PLM 2023, Montreal, QC, Canada, July 9–12, 2023, Revised Selected Papers, Part I (IFIP Advances in Information and Communication Technology #701)
by Abdelaziz Bouras Ramy Harik Louis Rivest Felix Nyffenegger Christophe DanjouThis two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9–12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.
Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation: 20th IFIP WG 5.1 International Conference, PLM 2023, Montreal, QC, Canada, July 9–12, 2023, Revised Selected Papers, Part II (IFIP Advances in Information and Communication Technology #702)
by Abdelaziz Bouras Ramy Harik Louis Rivest Felix Nyffenegger Christophe DanjouThis two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9–12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.
Schöne Momente pflegender Angehöriger in der Pflege und Begleitung von Menschen mit Demenz: Eine Tagebuchstudie
by Anna KieferIn diesem Open Access-Buch wird gezeigt, wie pflegende Angehörige mit Hilfe einer Tagebuchvorlage auf die Wahrnehmung schöner Momente in der Begleitung ihrer an Demenz erkrankten Familienmitglieder sensibilisiert werden können. Tagebücher sind eine beliebte Möglichkeit zur Verarbeitung und Bewältigung von Krisensituationen und können dabei der Selbstreflexion und Belastungsverarbeitung dienen. Insbesondere positives Schreiben kann durch das Erinnern und Reflektieren schöner Momente und Emotionen nachweislich zu einem höheren Wohlbefinden und zur Steigerung der Selbstwirksamkeit führen. Die Begleitung eines Menschen mit Demenz geht für pflegende Angehörige häufig mit einer Vielzahl an Belastungen und Herausforderungen einher, weshalb diese häufig aus der Belastungsperspektive erlebt wird. Schöne Momente innerhalb der Sorgebeziehung zwischen pflegenden Angehörigen und Menschen mit Demenz werden dabei seltener bewusst wahrgenommen. Die Ergebnisse der Tagebuchstudie zeigen individuelle Auswirkungen der Wahrnehmung und Sensibilisierung schöner Momente.
Nachhaltigkeit und Lebensqualität: Durch schlanke, grüne und saubere Konzepte
by K. MuralidharanDieses Buch soll die Leser für das Thema Nachhaltigkeit sensibilisieren und sie ermutigen, die Bedeutung von „lean, green and clean“ (LGC) für den Alltag zu verstehen. Die Notwendigkeit von auf Messungen basierten Auswertungen, statistische Signifikanz bei Materialverbrauch und Energie werden erörtert. Das Buch konzentriert sich auf die Bedeutung von Fragen des Klimawandels und Umweltbelangen im Zusammenhang mit schlanker Produktion und Fertigung. Der Schwerpunkt liegt auf dem Verständnis und der Anwendung von Qualitätskonzepten durch Projektmanagement und messbasierte Bewertungsmethoden. Dieses Buch richtet sich an ein breites Publikum, darunter Studierende, Lehrkräfte, Qualitätsfachleute, Unternehmensberater, Lean- und Six-Sigma-Praktiker, und ist für sie von großem Nutzen.Die Übersetzung wurde mit Hilfe von künstlicher Intelligenz durchgeführt. Eine anschließende menschliche Überarbeitung erfolgte vor allem in Bezug auf den Inhalt.
Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part IV (Lecture Notes in Computer Science #14835)
by Valeria V. Krzhizhanovskaya Jack J. Dongarra Peter M. A. Sloot Maciej Paszynski Clélia De Mulatier Leonardo FrancoThe 7-volume set LNCS 14832 – 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2–4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science
Measuring Statistical Evidence Using Relative Belief (ISSN)
by Michael EvansThis book provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It attempts to establish a gold standard for how a statistical analysis should proceed. The book illustrates relative belief theory using many examples and describes the strengths and weaknesses of the theory. The author also addresses fundamental statistical issues, including the meaning of probability, the role of subjectivity, the meaning of objectivity, and the role of infinity and continuity.
Accelerating Discoveries in Data Science and Artificial Intelligence I: ICDSAI 2023, LIET Vizianagaram, India, April 24–25 (Springer Proceedings in Mathematics & Statistics #421)
by Nishtha Kesswani Frank M. Lin Ashokkumar Patel Bosubabu SambanaThe Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science. The book introduces key topics and algorithms and explains how these contribute to healthcare, manufacturing, law, finance, retail, real estate, accounting, digital marketing, and various other fields. The book is primarily meant for academics, researchers, and engineers who want to employ data science techniques and AI applications to address real-world issues. Besides that, businesses and technology creators will also find it appealing to use in industry.
Anwendungen des Cuckoo-Suchalgorithmus und seiner Varianten
by Nilanjan DeyDieses Buch betont die grundlegenden Konzepte des CS-Algorithmus und seiner Varianten sowie deren Anwendung zur Lösung unterschiedlicher Optimierungsprobleme in medizinischen und ingenieurwissenschaftlichen Anwendungen. Evolutionäre metaheuristische Ansätze werden zunehmend zur Lösung komplexer Optimierungsprobleme in verschiedenen realen Anwendungen eingesetzt. Einer der erfolgreichsten Optimierungsalgorithmen ist die Cuckoo-Suche (CS), die zu einem aktiven Forschungsbereich geworden ist, um N-dimensionale und lineare/nichtlineare Optimierungsprobleme mithilfe einfacher mathematischer Prozesse zu lösen. CS hat die Aufmerksamkeit verschiedener Forscher auf sich gezogen, was zur Entstehung zahlreicher Varianten des grundlegenden CS mit verbesserten Leistungsmerkmalen seit 2019 geführt hat.
Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2023 (Lecture Notes in Networks and Systems #958)
by Marcin Paprzycki Monica Bianchini Ankush Ghosh Rabindra Nath Shaw Sanjoy DasThis book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2023), which is organized by Indira Gandhi National Tribal University, Regional Campus Manipur (IGNTU-RCM), during December 8–9, 2023. It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers an asset for researchers from both academia and industries involved in advanced studies.
A Life Course Perspective on Chinese Youths: From the Transformation of Social Policies to the Individualization of the Transition to Adulthood (Life Course Research and Social Policies #17)
by Sandra V. ConstantinThis open access book investigates from a life-course perspective the individualization process and the challenges faced by young adults in post-collectivist China, where people are enjoined to "liberate" (jiefang) their individual capacities, to "rely on themselves" (kao ziji) and to no longer "depend on the state" (kao guojia). Based on unique quantitative and qualitative data, this book provides a solid empirical portrait of Chinese youths and transformation of social policies in post-collectivist ChinaThis book will be a great resource to students, academics as well as social scientists and policy-makers who wish not only to understand how, in such a short period of time, young adults and their families have managed to navigate from a relatively egalitarian society to one of the most unequal, but also how the articulation between socialist and neoliberal ideologies is reconfiguring social and economic relations as well as women’s and men’s life-course.The basis of the English translation of this book from its French original manuscript was done with the help of artificial intelligence. A subsequent human revision and rewriting of the content was done by the author.
Distributed Machine Learning and Computing: Theory and Applications (Big and Integrated Artificial Intelligence #2)
by M. Hadi AminiThis book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.
Multiobjective Optimization Algorithms for Bioinformatics
by Ujjwal Maulik Sanghamitra Bandyopadhyay Anirban Mukhopadhyay Sumanta RayThis book provides an updated and in-depth introduction to the application of multiobjective optimization techniques in bioinformatics. In particular, it presents multiobjective solutions to a range of complex real-world bioinformatics problems. The authors first provide a comprehensive yet concise and self-contained introduction to relevant preliminary methodical constructions such as genetic algorithms, multiobjective optimization, data mining and several challenges in the bioinformatics domain. This is followed by several systematic applications of these techniques to real-world bioinformatics problems in the areas of gene expression and network biology. The book also features detailed theoretical and mathematical notes to facilitate reader comprehension. The book offers a valuable asset for a broad range of readers – from undergraduate to postgraduate, and as a textbook or reference work. Researchers and professionals can use the book not only to enrich their knowledge of multiobjective optimization and bioinformatics, but also as a comprehensive reference guide to applying and devising novel methods in bioinformatics and related domains.
Optimiertes Babymanagement: Den Elternalltag mit betriebswirtschaftlichen Methoden perfektionieren
by Marko SarstedtEines Tages ist es so weit: Der Nachwuchs steht ins Haus und damit eine Reihe von Planungsproblemen. Ein sozialverträglicher Name und ein Kinderwagen mit maximaler sozialer Anerkennung müssen gefunden werden. Nach der Geburt wird es nicht einfacher! Wie viele Windeln muss ich vorrätig halten? Wie bestimme ich die kürzeste Kinderwagentour zwischen Bäckerei, Spielplatz, Apotheke, Supermarkt und Drogeriemarkt? Viele Unwägbarkeiten machen das Elterndasein anstrengend. Aber das muss nicht sein! Dieses Buch schafft Abhilfe. Marko Sarstedt analysiert wichtige Planungsprobleme des elterlichen Alltags mit betriebswirtschaftlichen Methoden und trägt in der 4. Auflage mit einem neuen Beitrag zum Einschlafmanagement und Hinweisen zur Nutzung von ChatGPT weiter zur Maximierung der elterlichen Zufriedenheit bei: Karriereoptimierte Namenswahl mit Name Concept Maps Kinderwagenkonfiguration mit der Choice-based Conjoint Analyse Krippenauswahl mit dem Scoring-Modell Kinderzimmereinrichtung mit der Netzplantechnik Babyphone-Kauf mit der Two-step Clusteranalyse Text Mining von Babyratgebern Windelbestandsmanagement Make-or-Buy Babybrei Einschlafmanagement mit der logistischen Regression Nächtliches Aufstehmanagement mit Markovketten Wellness-Planung mit der deterministischen Simulation Kinderwagentourenplanung mit genetischen Algorithmen Sitzordnungsplanung bei der Taufe mit Ameisenalgorithmen Prognose von Spielplatzfreundschaften mit der Netzwerkanalyse Kofferraum-Tetris mit der Branch-and-Bound-Methode
Empowering Independent Living using the ICF: An Unobtrusive Home Monitoring Sensor System for Older Adults
by Björn FriedrichFunctional decline in older adults can lead to an increased need of assistance or even moving to a nursing home. Utilising home automation, power and wearable sensors, the system developed by the author continuously keeps track of the functional status of older adults through monitoring their daily life and allows health care professionals to create individualised rehabilitation programmes based on the changes in the older adult’s functional capacity and performance in daily life. The system uses the taxonomy of the International Classification of Functioning, Disability and Health (ICF) by the World Health Organization (WHO). It links sensor data to fve ICF items from three ICF categories and measures their change over time. The system successfully passed the first pre-clinical validation step on the real-world data of the OTAGO study, a 10-month randomised pilot intervention study with 20 (pre-)frail older adults (aged ≥ 75 years). Since this research is in an early stage further clinical studies are needed to fully validate the system.
Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part VII (Lecture Notes in Computer Science #14838)
by Valeria V. Krzhizhanovskaya Jack J. Dongarra Peter M. A. Sloot Maciej Paszynski Clélia De Mulatier Leonardo FrancoThe 7-volume set LNCS 14832 – 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2–4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science
Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part III (Lecture Notes in Computer Science #14834)
by Valeria V. Krzhizhanovskaya Jack J. Dongarra Peter M. A. Sloot Maciej Paszynski Clélia De Mulatier Leonardo FrancoThe 7-volume set LNCS 14832 – 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2–4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science