Applying an Advanced Information Search and Retrieval Model in Organisations: Research and Opportunities: Research and Opportunities, Maria del Carmen Cruz Gil
Описание: Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods.Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
Описание: Presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms.
Описание: Students in a range of academic disciplines can take part in a growing number of international placements available to them. Given the sharp increase in the number of exchange programs in recent years, the benefit derived by students from their added mobility merits greater investigation. Academic Mobility Programs and Engagement: Emerging Research and Opportunities is an essential scholarly publication that examines international and study abroad programs and their effect on students and student preparation. Featuring a range of topics such as healthcare, cultural responsiveness, and teacher education, this book is ideal for higher education institutions, faculty, cross-cultural trainers, government officials, counselors, student services administrators, policymakers, program developers, administrators, academicians, educators, researchers, and students.
Описание: Students in a range of academic disciplines can take part in a growing number of international placements available to them. Given the sharp increase in the number of exchange programs in recent years, the benefit derived by students from their added mobility merits greater investigation.
Academic Mobility Programs and Engagement: Emerging Research and Opportunities is an essential scholarly publication that examines international and study abroad programs and their effect on students and student preparation. Featuring a range of topics such as healthcare, cultural responsiveness, and teacher education, this book is ideal for higher education institutions, faculty, cross-cultural trainers, government officials, counselors, student services administrators, policymakers, program developers, administrators, academicians, educators, researchers, and students.
Описание: Presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms.
Описание: Explores methods and strategies related to multimedia information retrieval systems. Featuring coverage on a broad range of topics including content-based image retrieval, text-based image retrieval, fuzzy object shape features, encoding, and indexing, this book is aimed at library science and information technology specialists, and researchers seeking current information.
Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Описание: In the last few decades, the use of the Internet has grown tremendously, and the use of online communications has grown even more. The lack of security in private messages between individuals, however, allows hackers to collect loads of sensitive information. Modern security measures are required to prevent this attack on the world's communication technologies. Advanced Digital Image Steganography Using LSB, PVD, and EMD: Emerging Research and Opportunities provides evolving research exploring the theoretical and practical aspects of data encryption techniques and applications within computer science. The book provides introductory knowledge on steganography and its importance, detailed analysis of how RS and PDH are performed, discussion on pixel value differencing principles, and hybrid approaches using substitution, PVD, and EMD principles. It is ideally designed for researchers and graduate and under graduate students seeking current research on the security of data during transit.
Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Описание: Recent years have witnessed the rise of analysis of real-world massive and complex phenomena in graphs; to efficiently solve these large-scale graph problems, it is necessary to exploit high performance computing (HPC), which accelerates the innovation process for discovery and invention of new products and procedures in network science. Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing: Emerging Research and Opportunities is a critical scholarly resource that examines trends, challenges, and collaborative processes in emerging fields within complex network analysis. Featuring coverage on a broad range of topics such as high-performance computing, big data, network science, and accelerated network traversal, this book is geared towards data analysts, researchers, students in information communication technology (ICT), program developers, and academics.
Описание: As the internet has been regulated from its conception, many widespread beliefs regarding internet freedom are actually misconceptions. Additionally, there are already two main categories of internet regulation systems in use: the open and the silent IRSs. Unexpectedly, the former are quite popular among authoritarian regimes, while the latter are implemented mainly in Western democracies. Many IT experts and media analysts criticize Western governments' choice to use a silent IRS, expressing their fear that this could set a dangerous precedent for the rest of the democratic countries around the world. New regulation systems must be developed and implemented that are more acceptable to the general public.
Internet Censorship and Regulation Systems in Democracies: Emerging Research and Opportunities is an essential reference source that discusses the phenomenon of internet regulation in general and the use of internet regulation systems (IRSs) by authoritarian regimes and Western democracies and proposes a blueprint for the development and implementation of a fair internet regulation system (FIRS). The book also considers the function of a fair internet regulation system in terms of maximizing its effectiveness, keeping the implementation cost low, and increasing the probability of acceptance by each country's general public. Featuring research on topics such as governmental control, online filtering, and public opinion, this book is ideally designed for researchers, policymakers, government officials, practitioners, academicians, and students seeking coverage on modern internet censorship policies within various international democracies.
Описание: Businesses constantly face online hacking threats or security breaches in their online mainframe that expose sensitive information to the wrong audience. Companies look to store their data in a separate location, distancing the availability of the information and reducing the risk of data breaches. Modern organizations need to remain vigilant against insider attacks, cloud computing risks, and security flaws within their mainframe.Detection and Mitigation of Insider Attacks in a Cloud Infrastructure: Emerging Research and Opportunities is an essential reference source that discusses maintaining a secure management of sensitive data, and intellectual property and provides a robust security algorithm on consumer data. Featuring research on topics such as public cryptography, security principles, and trustworthy computing, this book is ideally designed for IT professionals, business managers, researchers, students, and professionals seeking coverage on preventing and detecting the insider attacks using trusted cloud computing techniques.
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