As the media landscape has evolved over the past few years, especially with the emergence of interactive and social media, the philosophy of advertising is significantly changing. Most businesses realize that the days when they relied on three national networks (ABC, NBC, and CBS) and a few national newspapers to advertise are gone; thus, they begin to find alternatives to standardized advertising. Many of them begin to adopt more individualized advertising approaches, empowered by Interne...

Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment.The authors adopt learning-supported, set-theoretic methods—specifically, the barrier Lyapunov function and the control barrier function—to achieve desirable robust safety with guaranteed performance in co...

An organization can have a high number of «likes» on its Facebook page and lots of «followers» on its Twitter account, but does that mean anything from a financial perspective? Is it worth the organization’s effort to maintain an active presence on social media in order to generate more revenue? Is it possible to use social media metrics such as the number of «likes» and the number of «followers» to predict an organization’s «success» even though those metrics are nonfinancial indicators? ...

Provides a comprehensive overview of the challenges facing agri-food supply chains, including the need to be more sustainable in light of the high environmental costs of global distributionAddresses the external factors that can impact the logistics and performance of supply chains, including political developments, international conflicts and pandemics such as COVID-19Reviews the main agri-food supply chains used in different regions around the world, focussing o...

This collection features four peer-reviewed reviews on phosphorus uptake and use in crops.The first chapter summarises the progress in research on root traits associated with phosphorus acquisition, including root morphology, architecture, biochemistry, colonisation by arbuscular mycorrhizal fungi, and fine root endophytes. The chapter also reviews the recent advances in breeding programmes to improve phosphorus acquisition efficiency.The second chapter dis...

Introduction to Renewable Energy Manufacturing Weilong Cong, Meng Zhang, Xiaoxu Song, Bradley Kramer, Timothy Deines, Z.J. Pei, Jahangir Emrani, Zhichao Li, Joe Stuart, and Wangping Sun; Edited by Meng Zhang

Food quality analysis is an area of interest that has always attracted the attention of everyone, and making suitable tools for food analysis is especially important. This volume presents such techniques and their state-of-the-art applications. It covers different spectroscopic methods spread over the wide range of electromagnetic spectrum that are being applied in food analysis. Detection of ammonia nitrogen using spectroscopic process is also included as it is the source of protein synth...

Comprehensive review of key topics in root science, including root architecture, root growth regulators, root anatomy and nutrient acquisitionCoverage of root response to both biotic and abiotic variablesDiscusses the range of techniques to optimize root function, from phenotyping to identify desirable root traits and exploiting the genetics of root traits to the use of plant growth-promoting rhizobacteria (PGPR) and arbuscular mycorrhizal fungi (AM)

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review ...

Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and c...

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017.The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering m...

This book constitutes the proceedings of the 12th International Conference on Network and System Security, NSS 2018, held in Hong Kong, China, in August 2018.The 26 revised full papers and 9 short papers presented in this book were carefully reviewed and selected from 88 initial submissions. The papers cover a wide range of topics in the field, including blockchain, mobile security, applied cryptography, authentication, biometrics, IoT, privacy, and education.