International Conference on Artificial Intelligence: Advances and Applications 2019

International Conference on Artificial Intelligence: Advances and Applications 2019

Author: Garima Mathur

Publisher: Springer Nature

Published: 2020-02-28

Total Pages: 393

ISBN-13: 9811510598

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This book introduces research presented at the “International Conference on Artificial Intelligence: Advances and Applications-2019 (ICAIAA 2019),” a two-day conference and workshop bringing together leading academicians, researchers as well as students to share their experiences and findings on all aspects of engineering applications of artificial intelligence. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN and NFV. As such it is a valuable resource for students, academics and practitioners in industry working on AI applications.


Proceedings of First International Conference on Computational Electronics for Wireless Communications

Proceedings of First International Conference on Computational Electronics for Wireless Communications

Author: Sanyog Rawat

Publisher: Springer Nature

Published: 2022-01-03

Total Pages: 679

ISBN-13: 9811662460

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This book includes high-quality papers presented at Proceedings of First International Conference on Computational Electronics for Wireless Communications (ICCWC 2021), held at National Institute of Technology, Kurukshetra, Haryana, India, during June 11–12, 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in computational electronics with an emphasis on wireless communications. The topics covered in the book are radio frequency and microwave, signal processing, microelectronics and wireless networks.


Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019

Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019

Author: Zainah Md Zain

Publisher: Springer Nature

Published: 2020-07-07

Total Pages: 1239

ISBN-13: 9811552819

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This book includes research papers from the 11th National Technical Symposium on Unmanned System Technology. Covering a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, it will appeal to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.


Artificial Intelligence in Education

Artificial Intelligence in Education

Author: Ulrich Hoppe

Publisher: IOS Press

Published: 2003

Total Pages: 566

ISBN-13: 9781586033569

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This work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.


Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2016-12-12

Total Pages: 3095

ISBN-13: 152251760X

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Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.


Optimising the Software Development Process with Artificial Intelligence

Optimising the Software Development Process with Artificial Intelligence

Author: José Raúl Romero

Publisher: Springer Nature

Published: 2023-07-19

Total Pages: 349

ISBN-13: 9811999481

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This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.


Deep Learning for Marine Science

Deep Learning for Marine Science

Author: Haiyong Zheng

Publisher: Frontiers Media SA

Published: 2024-05-15

Total Pages: 555

ISBN-13: 2832549055

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Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosystems, climate, energy, as well as physical and chemical interactions. Although DL has made great strides, it is still only beginning to emerge in many fields of marine science, especially towards representative applications and best practices for the automatic analysis of marine organisms and marine environments. DL in nowadays' marine science mainly leverages cutting-edge techniques of deep neural networks and massive data which collected by in-situ optical or acoustic imaging sensors for underwater applications, such as plankton classification and coral reef detection. This research topic aims to expand the applications of marine science to cover all aspects of detection, classification, segmentation, localization, and density estimation of marine objects, organisms, and phenomena.