Computing

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Practical Mongodb Aggregations - The Official Guide To Developing Optimal Aggregation Pipelines With Mongodb 7.0

by Paul Done

~~75,51€~~ 67,96€ 10% OFF

 Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey FeaturesBuild effective aggregation pipelines for increased productivity and performanceSolve common data manipulation and analysis problems with the help of practical examplesLearn essential strategies to aggregate time series data in financial datasets and IoTPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionOfficially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.What you will learnDevelop dynamic aggregation pipelines tailored to changing business requirementsMaster essential techniques to optimize aggregation pipelines for rapid data processingAchieve optimal efficiency for applying aggregations to vast datasets with effective sharding strategiesEliminate the performance penalties of processing data externally by filtering, grouping, and calculating aggregated values directly within the databaseUse pipelines to help you secure your data access and distributionWho this book is forThis book is for intermediate-level developers, architects, analysts, engineers, and data scientists who are interested in learning about aggregation capabilities in MongoDB. Working knowledge of MongoDB is needed to get the most out of this book.]]>
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Mastering Mongodb 7.0 - Achieve Data Excellence By Unlocking The Full Potential Of Mongodb

by Arek Borucki, Elie Hannouch, Leandro Domingues, Malak Abu Hammad, Marko Aleksendric, Rachelle Palmer e Rajesh Nair

~~75,51€~~ 67,96€ 10% OFF

 Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key FeaturesEnhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back up, and integrate applications effortlessly with MongoDB AtlasImplement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB's architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0 s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What you will learnExecute advanced MongoDB queries for intricate data insightsHarness the power of aggregation pipelines to transform dataEnsure data integrity with multi-document ACID transactionsOptimize query performance using strategic indexing techniquesNavigate MongoDB Atlas seamlessly for monitoring and backupsEnable robust search functionality with Atlas SearchMaster RBAC, user management, and data encryption for securityImplement auditing practices for transparency and accountabilityWho this book is forThis book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.]]>
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Quantum Theory, Decision Making And Social Dynamics

by Prasenjit Mandal, Rupkumar Mahapatra, Sovan Samanta e Tofigh Allahviranloo

~~209,34€~~ 188,41€ 10% OFF

 Quantum Theory, Decision Making, and Social Dynamics is a detailed exploration of the connection between quantum theory, decision-making, and social networks. As quantum theory expands into various fields, there is an increasing demand for accessible resources that clarify its principles and uses. This book aims to address that need by explaining the complex relationship between quantum theory and social dynamics, especially in decision-making contexts. It discusses the challenges of understanding and applying quantum theory in social settings and provides readers with the knowledge to leverage its potential in decision-making processes. The book is divided into eleven chapters, each focusing on a specific aspect of quantum theory and its applications. Chapter 1 introduces quantum theory, fuzzy logic, and social network analysis, highlighting key concepts like superposition, entanglement, and fuzzy influence within networks. Chapter 2 examines fuzzy sets, membership functions, and inference systems, with applications in devices, traffic management, and healthcare. Chapter 3 covers the mathematical framework of quantum mechanics and its philosophical paradoxes, connecting them to fuzzy logic models of uncertainty. Chapter 4 links social networks to quantum graphs, defining their topology, centrality, and entangled edges. Chapter 5 models social identity as a fuzzy quantum superposition, exploring identity collapse and coherence within networks. Chapter 6 relates quantum entanglement to social ties, proposing fuzzy-quantum graph models for interconnected systems. Chapter 7 analyses measures of irregularity in quantum graphs and applies these to financial networks. Chapter 8 integrates quantum cognition with fuzzy MCDM, employing various probability evaluation methods. Chapter 9 features case studies of fuzzy systems and their integration with quantum fuzzy graphs. Chapter 10 develops a quantum graph-based link prediction model for dynamic social networks. Chapter 11 concludes with a summary of the quantum-fuzzy framework, discussing its contributions, limitations, and future directions. - Integrated Framework Combines quantum theory, fuzzy logic, and social network analysis for modeling uncertainty and complexity. - Novel Models Presents quantum graphs, fuzzy quantum identity, and entanglement-based social network representations. - Real-World Applications Includes practical case studies in decision-making, network analysis, and predictive modeling.
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Essentials Of Big Data Analytics - Applications In R And Python

by Kalyani Pampattiwar, Pallavi Chavan e Ramchandra Mangrulkar

~~188,14€~~ 169,33€ 10% OFF

 Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments. - Includes hands-on Tutorials and Case Studies: Structured exercises and real-world examples reinforce learning and skill-building- Focuses on Python and R for Big Data: Detailed lessons in Python and R programming cater to the increasing demand for data science expertise- Balanced Theory and Practice: Comprehensive coverage ensures a strong theoretical foundation paired with actionable insights for real-world application
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Multimodal Learning Using Heterogeneous Data

~~193,44€~~ 174,10€ 10% OFF

 Multimodal Learning Using Heterogeneous Data is a comprehensive guide to the emerging field of multimodal learning, which focuses on integrating diverse data types such as text, images, and audio within a unified framework. The book delves into the challenges and opportunities presented by multimodal data and offers insights into the foundations, techniques, and applications of this interdisciplinary approach. It is intended for researchers and practitioners interested in learning more about multimodal learning and is a valuable resource for those working on projects involving data analysis from multiple modalities.The book begins with a comprehensive introduction, focusing on multimodal learning's foundational principles and the intricacies of heterogeneous data. It then delves into feature extraction, fusion techniques, and deep learning architectures tailored for multimodal data. It also covers transfer learning, pre-processing challenges, and cross-modal information retrieval. The book highlights the application of multimodal learning in specialized contexts such as sentiment analysis, data generation, medical imaging, and ethical considerations. Real-world case studies are woven into the narrative, illuminating the applications of multimodal learning in diverse domains such as natural language processing, multimedia content analysis, autonomous systems, and cognitive computing. The book concludes with an insightful exploration of multimodal data analytics across social media, surveillance, user behavior, and a forward-looking examination of future trends and practical implementations. As a collective resource, Multimodal Learning Using Heterogeneous Data illuminates the powerful utility of multimodal learning to elevate machine learning tasks while also highlighting the need for innovative solutions and methodologies. The book acknowledges the challenges associated with deep learning and the growing importance of ethical considerations in the collection and analysis of multimodal data.Overall, Multimodal Learning Using Heterogeneous Data provides an expansive panorama of this rapidly evolving field, its potential for future research and application, and its vital role in shaping machine learning's evolution. - Provides a detailed exploration of multimodal learning techniques with a special focus on handling heterogeneous data sources- Delves into advanced techniques such as deep fusion, graph-based methods, and attention mechanisms, catering to readers seeking deeper understanding- Offers code examples, practical guidance, and real-world case studies to bridge the gap between theory and application- Highlights applications in domains such as healthcare, autonomous vehicles, and multimedia analysis to showcase the practical relevance of multimodal learning- Discusses emerging trends and challenges, enabling readers to stay ahead in this evolving field
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Big Data, Big Impact: Navigating Competition, Privacy, And Reform

~~225,25€~~ 202,73€ 10% OFF

 As nearly every aspect of our society and economy has moved online, vast amounts of digital data are being collected about us-data that spans everything from who we are, to what we like, to who we communicate with, and even what we do. While this mass data collection has some valuable and productive applications, it also poses profound risks. What happens to our basic autonomy as individuals when both the government and private companies can amass detailed profiles about us, using that information to predict and, potentially, manipulate our behavior? What are the implications for our economy when some of the most popular online products and services depend on opaque data collection and personalization? And what does it mean for our democracy when these data practices shape public discourse and influence the flow of news and information?
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Big Data And Software Defined Networks

238,50€ + 10% CARD

 Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services.
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Handbook Of Big Data Analytics - Applications In Ict, Security And Business Analytics, Volume 2

218,63€ + 10% CARD

 This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.
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Handbook Of Big Data Analytics - Methodologies, Volume 1

218,63€ + 10% CARD

 This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.
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Building Neo4j-Powered Applications With Llms - Create Llm-Driven Search And Recommendations Applications With Haystack, Langchain4j, And Spring Ai

by Ravindranatha Anthapu e Siddhant Agarwal

~~35,76€~~ 32,18€ 10% OFF

 A comprehensive guide to building cutting-edge generative AI applications using Neo4j's knowledge graphs and vector search capabilitiesKey FeaturesDesign vector search and recommendation systems with LLMs using Neo4j GenAI, Haystack, Spring AI, and LangChain4jApply best practices for graph exploration, modeling, reasoning, and performance optimizationBuild and consume Neo4j knowledge graphs and deploy your GenAI apps to Google CloudPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEmbark on an expert-led journey into building LLM-powered applications using Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Written by Ravindranatha Anthapu, Principal Consultant at Neo4j, and Siddhant Agrawal, a Google Developer Expert in GenAI, this comprehensive guide is your starting point for exploring alternatives to LangChain, covering frameworks such as Haystack, Spring AI, and LangChain4j. As LLMs (large language models) reshape how businesses interact with customers, this book helps you develop intelligent applications using RAG architecture and knowledge graphs, with a strong focus on overcoming one of AI s most persistent challenges mitigating hallucinations. You'll learn how to model and construct Neo4j knowledge graphs with Cypher to enhance the accuracy and relevance of LLM responses. Through real-world use cases like vector-powered search and personalized recommendations, the authors help you build hands-on experience with Neo4j GenAI integrations across Haystack and Spring AI. With access to a companion GitHub repository, you ll work through code-heavy examples to confidently build and deploy GenAI apps on Google Cloud. By the end of this book, you ll have the skills to ground LLMs with RAG and Neo4j, optimize graph performance, and strategically select the right cloud platform for your GenAI applications.What you will learnDesign, populate, and integrate a Neo4j knowledge graph with RAGModel data for knowledge graphsIntegrate AI-powered search to enhance knowledge explorationMaintain and monitor your AI search application with HaystackUse LangChain4j and Spring AI for recommendations and personalizationSeamlessly deploy your applications to Google Cloud PlatformWho this book is forThis LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation systems. Working knowledge of Python and Java is essential to follow along. Familiarity with Neo4j, the Cypher query language, and fundamental concepts of databases will come in handy.]]>
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Data Science In Engineering Vol. 10 - Proceedings Of The 42nd Imac, A Conference And Exposition On Structural Dynamics 2024

~~185,49€~~ 166,94€ 10% OFF

 Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection Data-driven System Prognostics.
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Data Science For Teams - 20 Lessons From The Fieldwork

by Harris V. Georgiou

~~156,34€~~ 140,71€ 10% OFF

 Managing human resources, time allocation, and risk management in R&D projects, particularly in Artificial Intelligence/Machine Learning/Data Analysis, poses unique challenges. Key areas such as model design, experimental planning, system integration, and evaluation protocols require specialized attention. In most cases, the research tends to focus primarily on one of the two main aspects: either the technical aspect of AI/ML/DA or the teams' effort, or the typical management aspect and team members' roles in such a project. Both are equally import for successful real-world R&D, but they are rarely examined together and tightly correlated. Data Science for Teams: 20 Lessons from the Fieldwork addresses the issue of how to deal with all these aspects within the context of real-world R&D projects, which are a distinct class of their own. The book shows the everyday effort within the team, and the adhesive substance in between that makes everything work. The core material in this book is organized over four main Parts with five Lessons each. Author Harris Georgiou goes into the difficulties progressively and dives into the challenges one step at a time, using a typical timeline profile of an R&D project as a loose template. From the formation of a team to the delivery of final results, whether it is a feasibility study or an integrated system, the content of each Lesson revisits hints, ideas and events from real-world projects in these fields, ranging from medical diagnostics and big data analytics to air traffic control and industrial process optimization. The scope of DA and ML is the underlying context for all, but most importantly the main focus is the team: how its work is organized, executed, adjusted, and optimized. Data Science for Teams presents a parallel narrative journey, with an imaginary team and project assignment as an example, running an R&D project from day one to its finish line. Every Lesson is explained and demonstrated within the team narrative, including personal hints and paradigms from real-world projects. - Provides well-defined learning items in the form of Lessons, with clear structure and expected learning outcomes- Presents concepts in a narrative format that includes a running case study throughout the book, for better understanding and increased engagement- Demonstrates how to accomplish the fusion of organizational needs and constraints regarding a high-end R&D team, together with the requirements from the aspect of every day project management (deadlines, deliverables, milestones, scheduling, risks). - Shows how to transform typical project management into functional team-oriented goals and targets, in the context of iterative progress and continuous adaptation; this requires not just an Agile approach to project management, but a complete re-thinking of target setting and team evolution as a unit- Provides readers with deep understanding of how such R&D projects work in the real-world, including the everyday challenges, complexities and minimum-risk solutions; for educators in academia, this is probably the last phase of preparing future AI/ML/DA professionals for the tasks they will soon face
Mastering Snowflake Platform

by Pooja Kelgaonkar

~~26,18€~~ 23,56€ 10% OFF

 No detailed description available for "Mastering Snowflake Platform".
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V14 Certification: Teradata Basics

by John Nolan e Tom Coffing

163,47€ + 10% CARD

 You are going to love this book because your confidence and knowledge will soar. V14 Certification: Teradata Basics has been designed to help you pass the test, but it is so much more. It is an incredible reference guide, learning tool, and foundation for passing all the tests and becoming a Teradata Certified Master.
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Friendly Guide To Data Science - Everything You Should Know About The Hottest Field In Tech

by Kelly P. Vincent

~~52,99€~~ 47,69€ 10% OFF

 <div class="OutlineElement Ltr SCXW165361031 BCX0"><div class="OutlineElement Ltr SCXW33415510 BCX0"> Unlock the world of data science—no coding required.Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics—what data analysis involves, which skills are useful, and how terms like "data analytics" and "machine learning" connect—without getting too technical too fast.Data science isn’t just about crunching numbers, pulling data from a database, or running fancy algorithms. It’s about asking the right questions, understanding the process from start to finish, and knowing what’s possible (and what’s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security—because working with data means thinking about people, too.Whether you''re a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today’s most exciting fields. No coding or programming experience? No problem. You''ll build a solid foundation and gain the confidence to engage with data science concepts— just as AI and data become increasingly central to everyday life. What You Will Learn<ul><li>Grasp foundational statistics and how it matters in data analysis and data science</li><li>Understand the data science project life cycle and how to manage a data science project</li><li>Examine the ethics of working with data and its use in data analysis and data science</li><li>Understand the foundations of data security and privacy</li><li>Collect, store, prepare, visualize, and present data</li><li>Identify the many types of machine learning and know how to gauge performance</li><li>Prepare for and find a career in data science</li></ul> </div></div>Who This Book is forA wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field—helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.
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Data Science And Big Data Analytics - Proceedings Of Idba 2024

~~330,59€~~ 297,53€ 10% OFF

 This book features high-quality research papers presented at the Fourth International Conference on Data Science and Big Data Analytics (IDBA 2024), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during July 12-13, 2024. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.
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Trends And Applications In Knowledge Discovery And Data Mining - Pakdd 2025 Workshops, Adur, Fairpc, Glfm, Pm4b And Rafda, Sydney, Nsw, Australia, June 10-13, 2025, Proceedings

~~105,34€~~ 94,81€ 10% OFF

 This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025.The 31 papers presented in here were carefully reviewed and selected from 54 submissions. This volume includes the proceedings from the following Workshops:<ol><li>Workshop on Advanced Data-Driven Techniques for Urban Resilience (ADUR 2025)</li><li>Workshop of Foundational AI for Pervasive Computing (FairPC 2025)</li><li>Workshop on Graph Learning with Foundation Models (GLFM 2025)</li><li>Workshop on Pattern Mining and Machine Learning for Bioinformatics (PM4B 2025)</li><li>Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing (RAFDA 2025)</li></ol>
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Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part Xii

~~118,59€~~ 106,73€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions.
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Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part X

~~118,59€~~ 106,73€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
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Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part Ix

~~105,34€~~ 94,81€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
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Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part Viii

~~105,34€~~ 94,81€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
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Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part Vii

~~105,34€~~ 94,81€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
ENGLISH

Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part Vi

~~105,34€~~ 94,81€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
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Neural Information Processing - 31st International Conference, Iconip 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part V

~~118,59€~~ 106,73€ 10% OFF

 The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
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