Reporting the state of the art of color image processing, this monograph fills an existing gap in the literature on digital signal and image processing. It can serve the needs of different users at different levels: as a textbook which covers a graduate image processing course, as a up-to-date reference for researchers since it offers a broad survey of the relevant literature, and as a relevant information source for development engineers who work in the design and the implementation of various image processing tasks. Part of the material in the book was the basis of seminars at the University of Toronto. The book contains numerous examples and pictures of color image processing results, as well as tables which summarize the results of the analysis. Algorithms implemented in JAVA can be downloaded from the author's website .

In today’s era of digital transformation, the logistics sector is one of the most technology-intensive industries. This book provides a comprehensive overview of the IT infrastructure required for company operations, the types of enterprise software used in logistics, and current data collection technologies. It addresses the terminology, information flows, and application contexts of the necessary software, helping readers to see the big picture without being overwhelmed by technical details.

In today’s era of digital transformation, the logistics sector is one of the most technology-intensive industries. This book provides a comprehensive overview of the IT infrastructure required for company operations, the types of enterprise software used in logistics, and current data collection technologies. It addresses the terminology, information flows, and application contexts of the necessary software, helping readers to see the big picture without being overwhelmed by technical details.

This two-volume set CCIS 2167-2168 constitutes the proceedings of the 5th International Conference on Smart Applications and Data Analysis, SADASC 2024, held in Tangier, Morocco, in April 2024. The 30 full papers presented together with 10 short papers were carefully reviewed and selected from 91 submissions. They cover the following topics: designing and modeling; data management; tinyML and anomaly detection; network technologies and IOT; control, dynamic systems and optimisation; and exploitation and exploration.

The two volume set CCIS 2032 and 2033 constitutes the proceedings of the 11th Congress on Simulation for a Sustainable Future, EUROSIM 2023, which was held in Amsterdam, The Netherlands, during July 3–5, 2023.

This two-volume set showcases the various ways in which geospatial technology can be used to achieve sustainable development goals across different sectors such as urban planning, natural resource management, agriculture, disaster management, and energy management. The books provide insights into the potential of geospatial technology in promoting sustainable development practices and addressing challenges related to climate change, environmental degradation, and socio-economic development. Both volumes together are a comprehensive guide that showcases the potential of geospatial technology in promoting sustainable development practices across different sectors, and will serve as an essential resource for professionals, policymakers, researchers, and students interested in sustainable development and geospatial technology.

The worldwide cancer burden will double over the next two decades, with the number of new cancer diagnoses increasing in all regions of the world. However, it is estimated that around 40% of all cancers are preventable through the appropriate application of existing epidemiological and public health knowledge, and with further research this proportion will increase considerably. This edited volume explores the role of place in cancer prevention and how geospatial tools can be used to support this globally important goal. Its chapters detail many aspects of the application of geospatial science to cancer control, including quantifying exposure to environmental carcinogens, access to screening services, the importance of partnership building, and more through a variety of geographically diverse case studies. The book also offers background on geospatial modeling tools and methods for adding spatial analysis to cancer surveillance systems. The book is rooted firmly in the notion that geography significantly influences the accumulation of cancer risks (at the individual and community level) that are modifiable through policy, regulatory, and behavioral changes.

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, during December 17, 2023.

This book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of communication engineering.

This book equips readers with the essential knowledge to innovate and improve network performance while ensuring security and safety. It covers foundational TCP/IP Internet network technologies and significant cyber-attack case studies. Additionally, it explains the core technologies behind Bitcoin, Ethereum, blockchains, smart contracts, hash functions, and encryption. The book also explores advanced concepts such as reinforcement learning, generative AI, federated learning, and digital twin technologies, offering new approaches to enhancing network security and blockchains through these cutting-edge methods.

This book delves into the transformative potential of neuromorphic computing within the realm of civil engineering, emphasizing its role in advancing smart infrastructure systems. Neuromorphic computing, inspired by the neural structures of the human brain, offers unparalleled efficiencies in processing complex, dynamic data sets, thereby facilitating real time decision-making and predictive analytics in infrastructure management. Through a comprehensive exploration of emerging circuits, memory technologies, intelligent learning algorithms, and application-driven systems, it illustrates how neuromorphic computing can significantly enhance the resilience, efficiency, and sustainability of urban infrastructure. The book further addresses the challenges, ethical considerations, and future directions associated with the integration of these advanced technologies into civil engineering projects. Through detailed case studies, it provides insights into successful implementation strategies, risk management, and contingency planning, underscoring the importance of ethical design and development. This book serves as a valuable resource for practitioners, researchers, and policymakers involved in the evolution of civil engineering toward smarter, more responsive, and sustainable urban environments.

The two-volume set LNCS 14973 and 14974 constitutes the proceedings of the 14th International Conference on Security and Cryptography for Networks, SCN 2024, which took place in Amalfai, Italy, during September 11-13, 2024. The 33 full papers included in the proceedings were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows:

This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

This book is a comprehensive and full-fledged presentation of how modern algorithmic tools and techniques with software implementations can provide an effective and efficient solution of a multitude of problems faced in real life. These problems range from all kinds of data analyses, medical data analyses, image analyses and recognitions, support of medical diagnoses, etc. to new concepts of smart towns and other environments. Emphasis will be on the role of intelligent systems and artificial intelligence and a synergistic collaboration between human beings and computer systems. Modern decision support systems are a main focus point.

This book features contributions focusing on innovative technologies influencing industry and connectivity sectors in industrial, urban, social and sustainable development. The contributions cover many topics in mobility, including car manufacturing, e-mobility, smart cities, smart factories (Industry 4.0), smart logistics, social mobility, technological innovations, sustainability, management and marketing, multicultural development, Internet of Things sectors, etc. The contributions are applicable to researchers, academics, students, and professionals.