As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technologi...Lasīt vairāk
This book explores the critical role of LiDAR technology in autonomous navigation and advanced driver assistance systems (ADAS). It explores the fundamental principles of LiDAR, comparing it with other sensor technologies like radar and cameras wh...Lasīt vairāk
This book presents a compelling and up-to-date exploration of modeling techniques for digital twins, a transformative concept revolutionizing how physical assets are designed, operated, optimized, and managed throughout their...Lasīt vairāk
This edited volume is a compilation of peer-reviewed papers from the plenary lectures, keynote speeches, special presentations, and young researchers lectures delivered at the 6th International Conference...Lasīt vairāk
This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation. This book presents a comprehensive exploration of structural pattern recog...Lasīt vairāk
This book demystifies the core principles and architectural design of spatiotemporal big data systems, offering incisive analysis of the unique attributes of spatiotemporal data and its broad applicability in real-world scenarios, aiming to impart...Lasīt vairāk
Cutting-Edge Artificial Intelligence Applications is a comprehensive exploration of the latest advancements in AI and their implications for various industries. The book structured around the key themes discussed at the International Conferenc...Lasīt vairāk
From the author of Tokyo Vice comes the wild, true story of cyber-era commerce, crime, cold-hard cash, and one of the greatest heists in history.Even in hell, Bitcoin talks. This modern take on an old Japanese sayi...Lasīt vairāk
Want to write code that pushes the boundaries of speed, space savings, and scalability? Then you need more advanced data structures and algorithms. Go beyond Big O notation and evaluate the true efficiency of each algorithm you design. Pull out data...Lasīt vairāk
Ideal for anyone interested in clustering algorithms, with no prior Python experience required. Data clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origins in the 1950s....Lasīt vairāk
Chinese Academy of Sciences, Ministry of Education of the PRC, Chinese Academy of Social Sciences, Chinese Academy of Engineering, China Association for Science Technology, National Data Administration, National Natural
This book is a series of reports jointly contributed by the Chinese Academy of Sciences and other relevant nation-level institutions in China. It summarizes and analyses the overall construction situation and development trend of Chinas e-Science...Lasīt vairāk
The book explores core concepts, technologies, and challenges of distributed data services. It aims to provide researchers, engineers, and students with a deep understanding of theoretical foundations and practical applications in distributed data...Lasīt vairāk
This open access book is meant as a textbook for Computer Science students who are looking for a gentle introduction to the world of quantum computing. More specifically, it is written for readers who have basic knowledge of Artificial Intelligenc...Lasīt vairāk
This book highlights how AI agents and Large Language Models (LLMs) are set to revolutionize the finance and trading sectors in unprecedented ways. These technologies bring a new level of sophistication to data analysis and decision-making, enabli...Lasīt vairāk
Transform your data management by implementing data contracts to tackle the challenges of data governance, data quality, and data semantics with a focus on cross-functional collaboration using Python, GIT, JSON, and YAML Key Features ...Lasīt vairāk
This book presents detailed theoretical study of Business Analytics including analytical methods from various aspects such as descriptive/predictive analytics, statistical distributions, multivariate statistical analysis, time series analysis, sim...Lasīt vairāk
Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so.In this s...Lasīt vairāk
