Applying an Advanced Information Search and Retrieval Model in Organisations: Research and Opportunities: Research and Opportunities, Maria del Carmen Cruz Gil

Автор: Sara Moridpour
Название: Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities
ISBN: 1522579435 ISBN-13(EAN): 9781522579434
Издательство: Mare Nostrum (Eurospan)
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Цена: 160770.00 T
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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.

Автор: Dimple Valayil Paul
Название: Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities
ISBN: 1799856070 ISBN-13(EAN): 9781799856078
Издательство: Mare Nostrum (Eurospan)
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Цена: 159850.00 T
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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.

Автор: Dimple Valayil Paul
Название: Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities
ISBN: 1799837726 ISBN-13(EAN): 9781799837725
Издательство: Mare Nostrum (Eurospan)
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Цена: 206970.00 T
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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.

Автор: Sumathy, P. (bharathidasan University India)
Название: Image retrieval and analysis using text and fuzzy shape features: emerging research and opportunities
ISBN: 1522537961 ISBN-13(EAN): 9781522537960
Издательство: Mare Nostrum (Eurospan)
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Цена: 141370.00 T
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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.

Автор: Swain Gandharba
Название: Advanced Digital Image Steganography Using LSB, PVD, and EMD: Emerging Research and Opportunities
ISBN: 1522575162 ISBN-13(EAN): 9781522575160
Издательство: Mare Nostrum (Eurospan)
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Цена: 160770.00 T
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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.

Автор: Garcia-robledo, Alberto (center For Research And Advanced Studies Of The National Polytechnic Institute (cinvestav-tamaulipas) Mexico)
Название: Creativity in load-balance schemes for multi/many-core heterogeneous graph computing: emerging research and opportunities
ISBN: 1522537996 ISBN-13(EAN): 9781522537991
Издательство: Mare Nostrum (Eurospan)
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Цена: 150610.00 T
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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.

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827364 ISBN-13(EAN): 9781799827368
Издательство: Mare Nostrum (Eurospan)
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Цена: 174630.00 T
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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.

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827372 ISBN-13(EAN): 9781799827375
Издательство: Mare Nostrum (Eurospan)
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Цена: 134910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Nikolaos Koumartzis, Andreas Veglis
Название: Internet Censorship and Regulation Systems in Democracies: Emerging Research and Opportunities
ISBN: 1522599738 ISBN-13(EAN): 9781522599739
Издательство: Mare Nostrum (Eurospan)
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Цена: 166320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: T. Gunasekhar, K. Thirupathi Rao, P. Sai Kiran, V. Krishna Reddy, B. Thirumala Rao
Название: Detection and Mitigation of Insider Attacks in a Cloud Infrastructure: Emerging Research and Opportunities
ISBN: 1522579249 ISBN-13(EAN): 9781522579243
Издательство: Mare Nostrum (Eurospan)
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Цена: 160770.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Semir Ibrahimovic, Lejla Turulja, Nijaz Bajgoric
Название: Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities
ISBN: 1522522689 ISBN-13(EAN): 9781522522683
Издательство: Mare Nostrum (Eurospan)
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Цена: 135830.00 T
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Описание: Presents the latest research perspectives on the implementation of effective information systems in business contexts. Highlighting relevant topics such as data security, investment viability, and operational risk management, this book is designed for managers, professionals, academics, practitioners, and students.

Автор: Waqas Ahmed Imtiaz, Rastislav Roka
Название: Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities
ISBN: 1522597670 ISBN-13(EAN): 9781522597674
Издательство: Mare Nostrum (Eurospan)
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Цена: 190350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: By the end of the decade, approximately 50 billion devices will be connected over the internet using multiple services such as online gaming, ultra-high definition videos, and 5G mobile services. The associated data traffic demand in both fixed and mobile networks is increasing dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within this development stems from network operators having difficulties finding cost-effective next-generation optical network solutions that can match future high capacity demand in terms of data, reach, and the number of subscribers to support multiple network services on a common network infrastructure. Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities is an essential reference source that discusses the next generation of high capacity passive optical access networks (PON) in terms of design, implementation, and analysis and offers a complete reference of technology solutions for next-generation optical networks. Featuring research on topics such as artificial intelligence, electromagnetic interface, and wireless communication, this book is ideally designed for researchers, engineers, scientists, and students interested in understanding, designing, and analyzing the next generation of optical networks.