Author: Nevena Rankovic
Publisher: Springer Nature
ISBN: 3031765729
Category :
Languages : en
Pages : 422

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Author: Nevena Ranković
Publisher: Springer
ISBN: 9783031765711
Category : Business & Economics
Languages : en
Pages : 0

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Author: Zhang, Du
Publisher: IGI Global
ISBN: 1591409438
Category : Computers
Languages : en
Pages : 496

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Book Description
"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Author:
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 168

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Author:
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 736

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Author: United States. National Aeronautics and Space Administration
Publisher:
ISBN:
Category :
Languages : en
Pages : 752

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 178

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Author: Limao Zhang
Publisher: Springer Nature
ISBN: 9811628424
Category : Technology & Engineering
Languages : en
Pages : 271

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Book Description
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

Author: Katy Angliss
Publisher: Taylor & Francis
ISBN: 1000826635
Category : Business & Economics
Languages : en
Pages : 524

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Book Description
This book provides a powerful insight into strategic portfolio management and its central role in the delivery of organisational strategy, maximisation of value creation, and efficient allocation of resources and capabilities to achieve organisational strategic objectives. The book makes a valuable contribution to the development of thinking on the translation of strategy into actionable work. Whether you are a senior manager building a high-performing strategic portfolio for your organisation or an academic searching for new perspectives on strategy execution through portfolio management, you will find great significance in this book. Twenty-eight chapters in four sections provide multiple perspectives on the topic, with in-depth guidance on organisational design for strategic portfolio management and covering all process, capability, and leadership aspects of strategic portfolio management. The book includes several detailed case studies for the effective deployment of strategic portfolios, bringing together theory and practice for strategic portfolio management. This book is particularly valuable for advanced undergraduate and postgraduate students of project and portfolio management, strategic management, and leadership who are looking to expand their knowledge within the multi-project environment. Highly practical and logical in its structure, it also shows project management professionals how to effectively manage their business portfolios and align this with their business strategy.

Author: Kamran Sartipi
Publisher: BoD – Books on Demand
ISBN: 178985881X
Category : Health & Fitness
Languages : en
Pages : 150

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Book Description
Technologically supported healthcare management is beginning to take center stage as advances occur in many aspects of healthcare, involving big data, artificial intelligence, and improved user interfaces. This volume provides a perspective on a number of such advances, ranging from homecare with remote network support and primary homecare to telemedicine application for pediatric cardiology. A special section with chapters on Clinical Decision Support Systems (CDSS) addresses topics in improved human interfaces, intelligent support for better quality home and institutional care, effective big data visualization for decision-makers, and gathering data from multiple sources to support the battle against resistant bacteria.