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Christof Niemann-Mall

Data Business: Wie digitale Transformation gelingt

Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, Dat…

Data Science, Challenges and Applications in Industrial Operations

This book collects a selection of papers presented at the 19th International Conference on Industrial Engineering and Industrial Management and XXIX Congreso de Ingeniería de Organización (CIO2025), that …

Christof Niemann-Mall

Data Business: Wie digitale Transformation gelingt

Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, Dat…

Ines Adouani, Chafik Samir

Regression and Fitting on Manifold-valued Data

This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied a…

Transactions on Large-Scale Data- and Knowledge-Centered Systems LVIII

Storing and Querying Evolving Graphs in NoSQL Storage Models.- Data Assetization Journey: Concepts, Principles, and Illustrations.- Do Echo Top Heights Improve Deep Learning Rainfall Nowcasts? A Case Stud…

Martin Kleppmann, Chris Riccomini

Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's a…

Pardis Pishdad

5d Building Information Modeling

A roadmap to 5D+ BIM implementation with a focus on real-world use cases5D Building Information Modeling: Data-Driven Construction Supply Chain Integrationis a valuable guide for architectural, engineerin…

Annotation of Real-World Data for Artificial Intelligence Systems

This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25…

Proceedings of the 4th International Conference on¿ Big Data and Artificial Intelligence Applications (ICBDAIA'25)

This book presents innovative research exploring the convergence of Artificial Intelligence, Big Data, and Cybersecurity. It highlights novel methodologies and real-world applications that address technol…

Abdul Wasy Zia, Md Faiyazuddin

Data-Driven Pharmaceutical Processing and Drug Development

Apply artificial intelligence and machine learning techniques across drug development and manufacturingPharmaceutical professionals face mounting pressure to accelerate drug development while maintaining …

Jorge Drexler

Bailar En La Cueva

Accelerating Discoveries in Data Science and Artificial Intelligence I

The 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 Ac…

Luca Belli, Walter Britto Gaspar

Personal Data Architectures in the Brics Countries

The BRICS nations-Brazil, Russia, India, China, and South Africa-recently committed, as enshrined in their 2024 Declaration, to jointly promoting a global framework for data governance. As the number of n…

Heath Rose, Jim Mckinley, Sihan Zhou

Data Collection Research Methods in Applied Linguistics

The second edition of Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in colle…

Heath Rose, Jim Mckinley, Sihan Zhou

Data Collection Research Methods in Applied Linguistics

The second edition of Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in colle…

Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala

AI Data Center Network Design and Technologies

Artificial intelligence is redefining the scale, architecture, and performance expectations of modern data centers. Training large ML models demand infrastructure capable of moving massive data sets throu…

AI and Data Science in Healthcare 5.0

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in mod…

Environmental Policy Science's Exploration for Innovative Data

This edited volume discusses the use of nontraditional data sources in environmental political research and its implications for policymaking. Researchers involved in natural resource investigations and p…