Hongmei Lu – författare
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2 produkter
2 produkter
- Nyhet
Häftad, Engelska, 2026
2 190 kr
Skickas inom 11-20 vardagar
Cheminformatics with Python provides a ground-up, practical introduction that helps reader make effective use of the software. In four parts, including programming, data, methods, and applications, the book provides a brief introduction to Python language and related scientific computing, cheminformatics, machine learning, and deep learning packages and presents a systematic study of the representation of instrumental data, including molecular structures and common chemical databases. The methods section covers analytical signal processing, multivariate calibration, multivariate resolution, classical machine learning, and deep learning methods. Finally, the application section presents case studies of successful applications of cheminformatics in analytical chemistry, metabolomics, drug discovery, and more.A supporting appendix section and the necessary mathematical, statistical, and information theory-related theories are provided, along with practical tips such as code editors and source code management. Online coding materials on GitHub and an individual Jupyter notebook for each chapter further support practical learning. This book will be a great resource for senior undergraduate students, graduate students, post-docs, and professors primarily in the field of computational and analytical chemistry.Provides an in-depth understanding of the application of deep learning in cheminformatics using Python softwareSimultaneously introduces the basic principles and implementations of deep learning algorithms, demonstrating how to apply deep learning models to chemical data for prediction and classification using PythonDelves into rich case studies and practical project examples to help readers apply what they have learned to real chemical problems and dataAccompanied by an online GitHub repository with relevant Python code for each chapterIncludes an accompanying Jupyter Notebook containing relevant data, methods, and application examples, which can be run directly to get the results
- Nyhet
Inbunden, Engelska, 2026
2 073 kr
Skickas inom 10-15 vardagar
Chinese Collaborative Planning in the Digital Era: Institutions, Power Relations, and Public Spheres is the first accessible text on theoretical underpinnings and extensive case material on China’s collaborative planning. It questions the validity of agonistic and communicative approaches and lays out a new theoretical framework for collaborative planning in China.The book also elaborates the changing governance contexts for collaborative planning in China, including the participative and deliberative turn, and the impact of social media and digital transition on power relations and public spheres. Collaborative planning has become a practical solution to solve increasingly complex problems and the challenges of sustainability under rapid economic development. The authors present several in-depth case studies of collaborative practices in the fields of urban regeneration, environmental protection, and green initiatives in Beijing, Shanghai, Guangzhou, Xiamen, and other cities. The materials of the case studies are collected from in-depth fieldwork in China, practical experience, and online social networking sites. The book not only gives an overview of collaborative practices and policies in China but also reflects the universal collaborative planning theory and presents new research methodologies.The interdisciplinary nature of the book makes it interesting for students, educators, scholars, and practitioners in spatial planning, environmental planning, public policy, and new media fields.The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 International license.