This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests.
The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in softwaretesting/debugging and in multi stakeholder platforms.
Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing.Although existing data cleaning methods improve data quality dramatically, the cleaning costs are still high.
This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research.
This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. Therefore, it is promising... Læs mere
This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems.
This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems.