Academic Press 第7页

Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring
by Patrick Schneider，Fatos Xhafa(Author)
Publisher Finelybook 出版社: ‎Academic Press; (February 2, 2022)
Language 语言: ‎English
pages 页数: ‎406 pages
ISBN-10 书号: ‎0128238186
ISBN-13 书号: ‎9780128238189

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Book Description
Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms.
The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.

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Emerging Trends in Iot and Integration With Data Science, Cloud Computing, and Big Data Analytics (Advances in Web Technologies and Engineering)
by Pelin Taser, Muthu Ramachandran (Editor)
Publisher Finelybook 出版社: ‎Information Science Reference (November 5, 2021)
Language 语言: ‎English
pages 页数: ‎334 pages
ISBN-10 书号: ‎1799841863
ISBN-13 书号: ‎9781799841869

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Book Description
Emerging Trends in Iot and Integration With Data Science, Cloud Computing, and Big Data Analytics (Advances in Web Technologies and Engineering)
The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues.
Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

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Implementing Data Analytics and Architectures for Next Generation Wireless Communications (Advances in Wireless Technologies and Telecommunication)
by Chintan Bhatt, Neeraj Kumar, Ali Kashif Bashir (Editor)
Publisher Finelybook 出版社: ‎Information Science Reference (August 13, 2021)
Language 语言: ‎English
pages 页数: ‎226 pages
ISBN-10 书号: ‎1799869881
ISBN-13 书号: ‎9781799869887

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Book Description
Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.

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Cognitive Computing Systems: Applications and Technological Advancements 1st Edition
by 作者: Vishal Jain，Akash Tayal，Jaspreet Singh，Arun Solanki
Publisher Finelybook 出版社: Apple Academic Press; 1st edition (May 11,2021)
Language 语言: English
pages 页数: 424 pages
ISBN-10 书号: 1771889314
ISBN-13 书号: 9781771889315

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Book Description
This new volume,Cognitive Computing Systems: Applications and Technological Advancements,explores the emerging area of artificial intelligence that encompasses machine self-learning,human-computer interaction,natural language processing,data mining and more. It introduces cognitive computing systems,highlights their key applications,discusses the technologies used in cognitive systems,and explains underlying models and architectures.
Focusing on scientific work for real-world applications,each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology,application of neural networks in construction management,elevating competency in education,comprehensive health monitoring systems,predicting type 2 diabetes,applications for smart agricultural technology,human resource management,and more.
With chapters from knowledgeable researchers in the area of artificial intelligence,cognitive computing,and allied areas,this book will be an asset for researchers,faculty,advances students,and industry professionals in many fields.

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Artificial Intelligence and Data Science in Environmental Sensing (Cognitive Data Science in Sustainable Computing)
by Mohsen Asadnia, Amir Razmjou, Amin Beheshti (Editor)
Publisher Finelybook 出版社: ‎Academic Press; (February 28, 2022)
Language 语言: ‎English
pages 页数: ‎324 pages
ISBN-10 书号: ‎0323905080
ISBN-13 书号: ‎9780323905084

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Book Description
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.

Advances of Artificial Intelligence in a Green Energy Environment
by Pandian Vasant , Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber (Editor)
Publisher Finelybook 出版社: ‎Academic Press; (June 7, 2022)
Language 语言: ‎English
pages 页数: ‎414 pages
ISBN-10 书号: ‎0323897851
ISBN-13 书号: ‎9780323897853

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Book Description
Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern.
Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy.
Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry.

Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining
by Om Prakash Jena，Alok Ranjan Tripathy, Brojo Kishore Mishra, Ahmed A. Elngar (Editor)
Publisher Finelybook 出版社: ‎Bentham Science Publishers (July 29, 2022)
Language 语言: ‎English
pages 页数: ‎234 pages
ISBN-10 书号: ‎9815040413
ISBN-13 书号: ‎9789815040418

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Book Description
Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing.
This book explains artificial intelligence models that support assistive processes in different situations.
The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing.
The book presents 8 chapters on these topics:
- Educational data mining in augmented reality virtual learning environment
- Brain and computer interfaces
- Tree-based tools for chemometric analysis of infrared spectra
- Applications of deep learning in medical engineering
- Bankruptcy prediction model using an enhanced boosting classifier
- Reputation systems for mobile agent security
- The crow search algorithm
- COVID-19 diagnosis and treatment
The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.

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Oxford Picture Dictionary Third Edition 版本: English/Chinese Dictionary (English and Chinese Edition) 3rd Edition
Chinese Edition by Jayme Adelson-Goldstein，Norma Shapiro(Author)
Publisher Finelybook 出版社: ‎Oxford University Press; 3rd edition (February 1, 2017)
Language 语言: ‎English, Chinese
pages 页数: ‎308 pages
ISBN-10 书号: ‎0194505316
ISBN-13 书号: ‎9780194505314

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Book Description
The third edition of the best selling Oxford Picture Dictionary provides unparalleled support for vocabulary teaching to meet the needs of today's English language learners.
4,000 English words and phrases with meaningful, real life contexts presented within 12 thematic units, including Everyday Language, People, Housing, Food, and Recreation
New and updated topics such as job search, career planning, and digital literacy equip students with the language they need for everyday success.
Revised practice activities prepare students for work, academic study, and citizenship from the very beginning.
Pre reading questions build students' previewing and predicting skills
High interest reading promote literacy skills
Post reading questions support critical thinking and textual analysis.
Workbooks at three levels provide multilevel classroom support.

Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs: Methods, technologies and applications (Security)
by Amit Kumar Tyagi, Ajith Abraham, Farookh Khadeer Hussain, Arturas Kaklauskas, R. Jagadeesh Kannan (Editor)
Publisher Finelybook 出版社: ‎The Institution of Engineering and Technology (October 10, 2022)
Language 语言: ‎English
pages 页数: ‎679 pages
ISBN-10 书号: ‎1839533390
ISBN-13 书号: ‎9781839533396

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Book Description
Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals.
This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs. The book is aimed at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.

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Cybersecurity and Digital Forensics: Challenges and Future Paradigms
Author: Abdulrahman Yarali，Randall Joyce，Faris Sahawneh(Author)
Language 语言: ‎English
ISBN-10 书号: ‎1685078109
ISBN-13 书号: ‎9781685078102

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Book Description
The aim of this book is to have a detailed discussion of cybersecurity and digital forensics for creating effective defence, analysis, and investigation of cybercrime. A broad coverage of technical and socio-economic perspectives for utilizing information and communication technologies and developing practical solutions in cybersecurity, cybercrime, and cyber forensics will be discussed. The many academic areas covered in this book include, but are not limited to: Digital Transformation and New Crimes; Evolution of Digital Forensics; Cybercrime: Privacy, Security and Law Enforcement ; Digital Forensics and Cybersecurity; Mobile, Cloud and Network Forensics ; Virtual Crimes of the Information Age; AI and Cybersecurity; Securing Next Generation Internet Services. There will be comprehensive discussion/research on cybercrimes and forensics, a somewhat new field, as true internet/online crimes have really only started to gain recognition in the past 10-20 years. This book presents a thorough analysis of mobile forensics, big data and cloud forensics, social networking forensics, and instant messaging apps in forensics, with the challenges that law enforcement agencies are encountering.

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