2021 International Conference on Cyber Physical Social Intelligence (ICCSI) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781665426220
Category :
Languages : en
Pages :
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Book Description
The 2021 International Conference on Cyber physical Social Intelligence (CSI) provides an international forum for researchers and practitioners to share innovative technical and scientific developments, findings, and visions in all aspects of machine intelligence, human intelligence, and cyber physical social intelligence rendered by various interactions in cyberspace, physical space, and social space Advances in those fields are of significant importance towards inclusive, sustainable, and resilient future for people and planet
Author: IEEE Staff
Publisher:
ISBN: 9781665426220
Category :
Languages : en
Pages :
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Book Description
The 2021 International Conference on Cyber physical Social Intelligence (CSI) provides an international forum for researchers and practitioners to share innovative technical and scientific developments, findings, and visions in all aspects of machine intelligence, human intelligence, and cyber physical social intelligence rendered by various interactions in cyberspace, physical space, and social space Advances in those fields are of significant importance towards inclusive, sustainable, and resilient future for people and planet
Author:
Publisher:
ISBN: 9781665426213
Category :
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: IEEE Staff
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The 2023 International Conference on Cyber physical Social Intelligence (ICCSI 2023) will take place on October 20 23, 2023, in charming Xi an, a historic and scenic city of China ICCSI 2023 will provide an international forum for academics, researchers and industrial practitioners to discuss new advances, developments and challenges in the area of modeling, simulation and control of cyber physical social systems that bridge cyber space, physical space, and social space
Author: Basant Agarwal
Publisher: Springer Nature
ISBN: 9811671362
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
This book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. This book includes selected papers from International Conference on Intelligent Cyber-Physical Systems (ICPS 2021), held at Indian Institute of Information Technology Kota (IIIT Kota), MNIT Jaipur Campus, Jaipur, India, during 16-18 April 2021. The book is a collection of the state-of-the art research work in the cutting-edge technologies related to the artificial intelligence and cyber physical systems.
Author: IEEE Staff
Publisher:
ISBN: 9781665498364
Category :
Languages : en
Pages : 0
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Book Description
The 2022 International Conference on Cyber physical Social Intelligence (ICCSI 2022) will take place on October 21 24, 2022, in charming Nanjing, a historic and scenic city of China ICCSI 2022 will provide an international forum for academics, researchers and industrial practitioners to discuss new advances, developments and challenges in the area of modeling, simulation and control of cyber physical social systems that bridge cyber space, physical space, and social space
Author: Hao Wu
Publisher: Springer Nature
ISBN: 9811989346
Category : Computers
Languages : en
Pages : 89
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Book Description
A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time interaction, and the strength of an interaction can be quantified as the weight of a link. As the involved nodes increase drastically, it becomes impossible to observe their full interactions at each time slot, making a resultant dynamic network High Dimensional and Incomplete (HDI). An HDI dynamic network with directed and weighted links, despite its HDI nature, contains rich knowledge regarding involved nodes’ various behavior patterns. Therefore, it is essential to study how to build efficient and effective representation learning models for acquiring useful knowledge. In this book, we first model a dynamic network into an HDI tensor and present the basic latent factorization of tensors (LFT) model. Then, we propose four representative LFT-based network representation methods. The first method integrates the short-time bias, long-time bias and preprocessing bias to precisely represent the volatility of network data. The second method utilizes a proportion-al-integral-derivative controller to construct an adjusted instance error to achieve a higher convergence rate. The third method considers the non-negativity of fluctuating network data by constraining latent features to be non-negative and incorporating the extended linear bias. The fourth method adopts an alternating direction method of multipliers framework to build a learning model for implementing representation to dynamic networks with high preciseness and efficiency.
Author: Deepak Garg
Publisher: Springer Nature
ISBN: 303156703X
Category :
Languages : en
Pages : 445
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Book Description
Author: Y. Ye
Publisher: IOS Press
ISBN: 1643685090
Category : Computers
Languages : en
Pages : 398
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Book Description
There is no denying the increasing importance of AI and human-computer interaction for societies worldwide. The potential for good in these fields is undeniable, but the challenges which arise during research and in practice must be carefully managed if this potential for good is to be realized without harm. This book presents the proceedings of ArtInHCI2023, the 1st International Conference on Artificial Intelligence and Human-Computer Interaction, held as an online event from 27-28 October 2023, and attended by around 70 participants from around the world. The aim of the conference was to promote academic exchange within and across disciplines, addressing theoretical and practical challenges and advancing current understanding and application. A total of 72 submissions were received for the conference, of which 41 were selected for presentation and publication following a thorough peer review process, resulting in an acceptance rate of 57%. Topics covered included deep learning, artificial neural networks, computer vision and pattern recognition and papers were focused on the challenges of research as well as application. Providing a fascinating overview of developments and innovation in the field, the book will be of interest to all those working with AI or human-computer interaction.
Author: Lazaros Iliadis
Publisher: Springer Nature
ISBN: 3031442237
Category : Computers
Languages : en
Pages : 621
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Book Description
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
