Bücher veröffentlicht von IGI Global

Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples include remote sensing, space applications, industrial applications, medical imaging, and military applications. Imaging systems come in many different varieties, including those used for chemical, optical, thermal, medicinal, and molecular imaging. To extract the accurate picture values, scanning methods and statistical analysis must be used for image analysis. Thrust Technologies' Effect on Image Processing provides insights into image processing and the technologies that can be used to enhance additional information within an image. The book is also a useful resource for researchers to grow their interest and understanding in the burgeoning fields of image processing. Covering key topics such as image augmentation, artificial intelligence, and cloud computing, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Recently, several fog computing applications have been developed like IoT-based healthcare, 5G, blockchains, autonomous driving, and mobile wireless applications. They also address challenges such as data management, scalability, regulations, interoperability, device network human interfaces, security, and privacy. Further study on these applications is required to ensure this technology is utilized appropriately. Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time focuses on fog computing problems and solutions for various applications and covers the new approaches, architecture, and theoretical foundations in the fog paradigm of storage, communication, and computing. The book explores recent trends and challenges that lead to a potential course for the ideas, practices, norms, and strategies related to fog computing. Covering key topics such as data privacy, data analytics, and the internet of things, this reference work is ideal for computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Indigenous knowledge is regarded as undocumented cultural, local, traditional, and community knowledge produced and owned by local people in their specific communities. It is mainly preserved in the memories of elders and shared or passed on from generation to generation through oral communication, traditional practices, and demonstrations. This irreplaceable resource may be lost forever as a direct result of the pressures of modernization, colonization, and globalization. Concern over the loss of Indigenous knowledge has thus raised a need for the preservation and documentation of this knowledge in digital formats. Digital Preservation and Documentation of Global Indigenous Knowledge Systems determines how Indigenous knowledge can be documented and digitally preserved to benefit Indigenous knowledge owners and their communities and be accessible for future generations. The book provides the best practices, innovative strategies, theoretical and conceptual frameworks, and empirical research findings regarding the digital preservation and documentation of Indigenous knowledge systems worldwide. Covering topics such as digital media platforms, educational management, and knowledge systems, this premier reference source is a valuable and useful tool for students, information professionals, knowledge managers, records managers, Indigenous knowledge owners, Indigenous community leaders, librarians, archivists, computer scientists, information technology specialists, students and educators of higher education, researchers, and academicians.

Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to collect, monitor, control, optimize, model, and predict healthcare data using blockchain, AI, and IoT. The book also considers the advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. Covering key topics such as disruptive technology, electronic health records, and medical data, this premier reference source is ideal for computer scientists, nurses, doctors, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

"This book provides an overview of the important elements of education law in Ontario, Canada, as education is under provincial jurisdiction in the country. It also briefly describes similar education law contents in California, the United States, as in the US education is mainly under the control of states and California is the most populous state. In addition, the book delineates corresponding contents in Chinese education law, as China has the largest education system in the world"--

There is an increasing demand to develop intelligent robotics and autonomous systems to deal with dynamically changing and complex, unstructured, and unpredictable environments. Such robots should be able to handle task varieties, environment dynamics and goal variations, and their complexity. This also highlights the need for having intelligent robotics and autonomous systems with capabilities assuring reliable and robust functions resolving real-time complex problems that are associated with many applications across diverse domains. This requires unconventional ways to develop creative and innovative, energy-efficient, and eco- and environmentally friendly solutions that consider new ways of creative thinking while drawing inspiration from nature as a model leading to creating new designs, intelligent systems, intelligent structures/mechanisms, reconfigurability, and more. Global Perspectives on Robotics and Autonomous Systems: Development and Applications describes the evolution of robotics and autonomous systems, their development, their technologies, and their applications. This book discusses the concept of autonomy, requirements, and its role in shaping the behavior of these robots so that they can make their own effective and safe decisions and act on them reliably while assuring real-life requirements. Covering topics such as digital transformation, fused deposition modeling (FDM), and organizational unbundling process, this premier reference source is an essential resource for engineers, computer scientists, industry professionals, manufacturers, smart systems developers, data analysts, students and educators of higher educations, researchers, and academicians.

Open, distance, and blended learning environments have increased globally in recent years due to the COVID-19 pandemic. Stakeholders in the educational sector are facing new challenges on how to take advantage of the knowledge, skills, and experiences gained during the pandemic and, more importantly, how to move forward towards digitally transforming education. Emerging Trends and Historical Perspectives Surrounding Digital Transformation in Education: Achieving Open and Blended Learning Environments identifies cases, best practices, and experiences that highlight digital transformation via online, blended, and open learning environments at all levels and discusses how digital transformation can be achieved. The book also examines the influence of leadership, human resources, knowledge, skills, processes, and technologies in promoting digital transformation. Covering topics such as open learning, digital learning, online teaching, and learner support, this reference work is ideal for teachers, instructional designers, curriculum developers, IT consultants, educational software developers, policymakers, industry professionals, researchers, academicians, practitioners, and students.

Parkinson's disease is the second most common neurodegenerative disorder in the world after Alzheimer's disease. Thanks to the pioneering works of Arvid Carlson in the 20th century identifying dopamine as the main neurochemical agent involved in Parkinson's disease's onset and progress, our understanding of the neuropathology has increased. The elaboration of L-Dopa as the first pharmacological treatment approach has brought new hope for curing or at least slowing the neurodegenerative progress and the decline of motor and cognitive functions in Parkinson's disease patients. To date, imaging techniques along with genetic and biochemical tools have allowed scientists and clinicians to predict and diagnose the disease several years prior to the motor disorder's appearance. Experimental and Clinical Evidence of the Neuropathology of Parkinson's Disease sheds light on the history of Parkinson's disease as well as the recent literature on the epidemiological data worldwide including the prevalence of the disease, the morbimortality rates, and the sex dimorphism and aging components. It addresses the current neuropathological evidence of Parkinson's disease, including the latest discoveries in terms of neuropathology and treatments available or under clinical trials with the efficacy and limitations of each. Covering topics such as epidemiology, stem cells, and neuropathology, this premier reference source is an excellent resource for clinicians, physicians, epidemiologists, neuroscientists, microbiologists, biochemists, pharmacologists, toxicologists, medical professionals, nurses, medical students and educators, librarians, researchers, and academicians.