Author: IEEE Staff
Publisher:
ISBN: 9781728149158
Category :
Languages : en
Pages :
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Book Description
The main scope of the conference is to provide an international forum and discussions on advances in the field of Intelligent Computer Communication and Processing The main topics will be Intelligent Systems, Computer Vision, Autonomous Systems and Advanced Driving Assistance, Distributed Computing and Networking
Author: Sergiu Nedevschi
Publisher:
ISBN: 9781728149141
Category :
Languages : en
Pages :
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Book Description
Author: Radu Razvan Slavescu
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages :
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Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781509039005
Category :
Languages : en
Pages :
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Book Description
The main scope of the conference is to provide an international forum and discussions on advances in the field of Intelligent Computer Communication and Processing The main topics will be Intelligent Systems, Computer Vision, Autonomous Systems and Advanced Driving Assistance, Distributed Computing and Networking
Author: Subhasis Bhaumik
Publisher: Springer Nature
ISBN: 9811670110
Category : Technology & Engineering
Languages : en
Pages : 616
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Book Description
This book is a collection of selected high-quality research papers presented at the International Conference on Industrial Instrumentation and Control (ICI2C 2021), organized by the Department of Applied Electronics & Instrumentation Engineering, RCC Institute of Information Technology, Kolkata, India, during 20–August 22, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as instrumentation application in industry, instrumentation in electrical applications and instrumentation in recent trends with computation approach.
Author: Pandian Vasant
Publisher: Springer Nature
ISBN: 3031199588
Category : Technology & Engineering
Languages : en
Pages : 1215
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Book Description
This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! It is a Master Piece of what our community of academics and experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Modern Operational Research and Experience of the World-Leader Springer Nature! The 5th edition of International Conference on Intelligent Computing and Optimization took place at October 27–28, 2022, via Zoom. Objective was to celebrate “Creativity with Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the planet, to share knowledge, experience, innovation—a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO’2022 is published by Springer Nature—Quality Label of wonderful.
Author: Hoe Tung Yew
Publisher: Springer Nature
ISBN: 981971432X
Category :
Languages : en
Pages : 228
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Book Description
Author: Jean-Jacques Rousseau
Publisher: Springer Nature
ISBN: 3031377427
Category : Computers
Languages : en
Pages : 732
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Book Description
This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.
Author: Pongsarun Boonyopakorn
Publisher: Springer
ISBN: 3030198618
Category : Technology & Engineering
Languages : en
Pages : 270
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Book Description
This book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine learning, natural language processing, speech recognition, image and video processing are just some of the major research and engineering directions that have made autonomous driving, language assistants, automatic translation and answering systems as well as other innovative applications such as more human-oriented interfaces possible. Those developments also reflect economic changes in the world, which are increasingly dominated by the needs of enhanced globalization, international cooperation (including its competitive aspects) and emerging global problems.
Author: Jamal Mabrouki
Publisher: Springer Nature
ISBN: 303125662X
Category : Technology & Engineering
Languages : en
Pages : 314
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Book Description
This book presents smart energy management in the context of energy transition. It presents the motivation, impacts and challenges related to this hot topic. Then, it focuses on the use of techniques and tools based on artificial intelligence (AI) to solve the challenges related to this problem. A global diagram presenting the general principle of these techniques is presented. Then, these techniques are compared according to a set of criteria in order to show their advantages and disadvantages with respect to the conditions and constraints of intelligent energy management applications in the context of energy transition. Several examples are used throughout the white paper to illustrate the concepts and methods presented. An intelligent electrical network (smart grid—SG) includes heterogeneous and distributed electricity production, transmission, distribution and consumption components. It is the next generation of electricity network able to manage electricity demand (consumption/production/distribution) in a sustainable, reliable and economical way taking into account the penetration of renewable energies (solar, wind, etc.). Therefore, a (SG) smart grid also includes an intelligent layer that analyzes the data provided by consumers as well as that collected from the production side in order to optimize consumption and production according to weather conditions, the profile and habits of the consumer. In addition, this system can improve the use of green energy through renewable energy penetration and demand response.
