This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach —the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach. Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.

This book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20–22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition—both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing.

This book constitutes the refereed proceedings of the First International Conference on Applied Intelligence and Informatics, AII 2021, held in Nottingham, UK, in July 2021. Due to the COVID-19 pandemic the conference was held in a fully virtual mode. The 26 full papers and 4 short papers presented were thoroughly reviewed and selected from the total 107 submissions. They are organized in the following topical sections: application of AI and informatics in disease detection; application of AI and informatics in healthcare; application of AI and informatics in pattern recognition; application of AI and informatics in network, security, and analytics; emerging applications of AI and informatics.

Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

Provides up-to-date developments in the field of remote sensing by assessing scale issues in land surface, properties, patterns, and processes Scale is a fundamental and crucial issue in remote sensing studies and image analysis. GIS and remote sensing scientists use various scaling techniques depending on the types of remotely sensed images and geospatial data used. Scaling techniques affect image analysis such as object identification and change detection. This book offers up-to-date developments, methods, and techniques in the field of GIS and remote sensing and features articles from internationally renowned authorities on three interrelated perspectives of scaling issues: scale in land surface properties, land surface patterns, and land surface processes. It also visits and reexamines the fundamental theories of scale and scaling by well-known experts who have done substantial research on the topics. Edited by a prominent authority in the geographic information science community, Scale Issues in Remote Sensing: Offers an extensive examination of the fundamental theories of scale issues along with current scaling techniques Studies scale issues from three interrelated perspectives: land surface properties, patterns, and processes Addresses the impact of new frontiers in Earth observation technology (high-resolution, hyperspectral, Lidar sensing, and their synergy with existing technologies) and advances in remote sensing imaging science (object-oriented image analysis and data fusion) Prospects emerging and future trends in remote sensing and their relationship with scale Scale Issues in Remote Sensing is ideal as a professional reference for practicing geographic information scientists and remote sensing engineers as well as supplemental reading for graduate level students.

This book constitutes the proceedings of the 5th International Conference on Advances in Information Technology, IAIT 2012, held in Bangkok, Thailand, in December 2012. The 18 revised papers presented in this volume were carefully reviewed and selected from 37 submissions. They deal with all areas related to applied information technology, such as e-service; information and communication technology; intelligent systems; information management; and platform technology.

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

What is Digital Transformation, why is it so important and why do so many transformation projects fail? More importantly, what can we do to make our transformation initiative succeed? These are a few of the profound questions that we seek to answer in this book. The anomaly between the number of digital transformation being undertaken and the high failure rate may be due to not enough transformation initiatives taking a holistic approach that encompasses people, culture, organisations, processes, business strategy and objectives into the overall mix instead they are focusing largely on the technology. Therefore in this book we contemplate a holistic approach to digital transformation across the entire spectrum of the business from the perspective of an enterprise or manufacturer. Hence we start with people, culture and the need for agile business development when transforming processes, products and services or business models. We examine the how and why we align and tightly couple business objectives to transformation initiatives. Importantly, we examine the need for company-wide collaboration and integration of data, knowledge, processes and systems and the huge benefits initiatives such as data-democratization can deliver. Then we delve deeper into the specific drivers for successful transformation across a very broad range of business functions from the perspective of IT and Operations, Finance, HR, Sales & Marketing, Manufacturing, Inventory, Supply chain and Post-sales service. We also examine how technology and processes such as the IoT and advanced data analysis have brought about Industry 4.0 and the Smart Factory not through technology upgrades and point solutions but through a holistic approach to digital transformation. A holistic approach to digital transformation, places people, culture, knowledge, capabilities, and decision-making as the pillars supporting the overall organisation's business strategy, objectives and mission values that are built upon a foundation of technology and processes. Successful digital transformation initiatives do not lose their focus on the overarching business strategy and company objectives being the goal, it's not about technology it is about creating new business value at the strategic level. And in this book we will show you how to do it.What is Digital Transformation, why is it so important and why do so many transformation projects fail? More importantly, what can we do to make our transformation initiative succeed? These are a few of the profound questions that we seek to answer in this book. The anomaly between the number of digital transformation being undertaken and the high failure rate may be due to not enough transformation initiatives taking a holistic approach that encompasses people, culture, organisations, processes, business strategy and objectives into the overall mix instead they are focusing largely on the technology. Therefore in this book we contemplate a holistic approach to digital transformation across the entire spectrum of the business from the perspective of an enterprise or manufacturer. Hence we start with people, culture and the need for agile business development when transforming processes, products and services or business models. We examine the how and why we align and tightly couple business objectives to transformation initiatives. Importantly, we examine the need for company-wide collaboration and integration of data, knowledge, processes and systems and the huge benefits initiatives such as data-democratization can deliver. Then we delve deeper into the specific drivers for successful transformation across a very broad range of business functions from the perspective of IT and Operations, Finance, HR, Sales & Marketing, Manufacturing, Inventory, Supply chain and Post-sales service. We also examine how technology and processes such as the IoT and advanced data analysis have brought about Industry 4.0 and the Smart Factory not through technology upgrades and point solutions but through a holistic approach to digital transformation. A holistic approach to digital transformation, places people, culture, knowledge, capabilities, and decision-making as the pillars supporting the overall organisation's business strategy, objectives and mission values that are built upon a foundation of technology and processes. Successful digital transformation initiatives do not lose their focus on the overarching business strategy and company objectives being the goal, it's not about technology it is about creating new business value at the strategic level. And in this book we will show you how to do it.

This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).

Developments in Food Quality and Safety Series is the most up-to-date resource covering trend topics such as Advances in the analysis of toxic compounds and control of food poisoning; Food fraud, traceability and authenticity; Revalorization of agrifood industry; Natural antimicrobial compounds and application to improve the preservation of food; Non-thermal processing technologies in the food industry; Nanotechnology in food production; and Intelligent packaging and sensors for food applications. Volume 4, Food Industry 4.0: Emerging Trends and Technologies in Food Production and Consumption covers several technologies (e.g., robotics, smart sensors, artificial intelligence, and big data) at different development and research levels in order to provide holistic multidisciplinary approaches that embrace simultaneously as many Industry 4.0 technologies as possible, reflecting the long journey of food from farm (or sea) to fork. Chapters explore automation, digitalization, and green technologies, besides food quality, food safety food traceability, processing and preservation 4.0. Topics such as smart sensors, artificial intelligence and big data revolution, additive manufacturing, and emerging food trends are also explored. The series is edited by Dr. José Manuel Lorenzo and authored by a team of global experts in the fields of Food Quality and Safety, providing comprehensive knowledge to food industry personals and scientists. - Provides a comprehensive view of Industry 4.0 technologies as applied to the food industry - Covers the most trend topics related to novel foods in the light of emerging innovations and developments - Discusses how implementing innovative technologies holds significant potential to increase efficiency and value added, save time and cost, and increase profitability in various food sectors