"Advanced Computing Technologies and Applications (ICACTA), International Conference On". PDF Download

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Category :
Languages : en
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Author: Hari Vasudevan
Publisher: Springer Nature
ISBN: 9811532427
Category : Technology & Engineering
Languages : en
Pages : 686

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Book Description
This book features selected papers presented at the 2nd International Conference on Advanced Computing Technologies and Applications, held at SVKM’s Dwarkadas J. Sanghvi College of Engineering, Mumbai, India, from 28 to 29 February 2020. Covering recent advances in next-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data computing and ambient applications.

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ISBN: 9781665495158
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Languages : en
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Author: IEEE Staff
Publisher:
ISBN: 9781665495165
Category :
Languages : en
Pages :

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The aim of ICACTA conference is to find recent innovations and ideas in research areas like Artificial Intelligence, Hybrid Intelligent Systems, Grid Computing, Deep Learning, and Block Chain, Mobile and Vehicular ADHOC Networks and many upcoming IT related ideas The Objective of the conference is to collaborate with the researchers, engineers and industry professionals to present the latest achievements and innovations in the interdisciplinary areas of advanced computing and its recent trends Through this conference the presenters and participants can also discuss interesting innovations and challenges, in order to select future directions and innovation in the field The conference (ICACTA) will also encourage the participation of young minds carrying their unique ideas in the field of research in the arena relating to computing technologies and applications in India and abroad SCOPE ADVANCED COMPUTING & ITS APPLICATIONS DATA SCIENCE & IoT ADVANCED NETWORK TECHNOLOGY

Author: Dr.R.Deepalakshmi
Publisher: Shanlax Publications
ISBN: 8119042573
Category : Computers
Languages : en
Pages : 93

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Book Description
The International Conference on Advanced Computing Technology(ICACT 2023) has been organised by Department of Computer Science and Engineering, Velammal College of Engineering and Technology, Madurai. The thrust of this conference is to exchange and share the experiences and research results on all aspects of the design, development, testing, implementation of intelligent systems. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of computational intelligence and its applications.

Author:
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ISBN: 9781510801363
Category :
Languages : en
Pages : 871

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Author: Sharvari Tamane
Publisher: Springer Nature
ISBN: 9464631368
Category : Computers
Languages : en
Pages : 1027

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This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).

Author: Rituparna Chaki
Publisher: Springer
ISBN: 9811081808
Category : Technology & Engineering
Languages : en
Pages : 179

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This book contains extended version of selected works that have been discussed and presented in the fourth International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2017) held in Patna, India during March 17-19, 2017. The symposium was organized by the Departments of Computer Science & Engineering and A. K. Choudhury School of Information Technology, both from University of Calcutta in collaboration with NIT, Patna. The International partners for ACSS 2016 had been Ca Foscari University of Venice, Italy and Bialystok University of Technology, Poland. This bi-volume book has a total of 21 papers divided in 7 chapters. The chapters reflect the sessions in which the works have been discussed during the symposium. The different chapters in the book include works on biometrics, image processing, pattern recognition, algorithms, cloud computing, wireless sensor networks and security systems.

Author: S. Smys
Publisher: Springer Nature
ISBN: 3030370518
Category : Technology & Engineering
Languages : en
Pages : 968

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Book Description
This book presents new communication and networking technologies, an area that has gained significant research attention from both academia and industry in recent years. It also discusses the development of more intelligent and efficient communication technologies, which are an essential part of current day-to-day life, and reports on recent innovations in technologies, architectures, and standards relating to these technologies. The book includes research that spans a wide range of communication and networking technologies, including wireless sensor networks, big data, Internet of Things, optical and telecommunication networks, artificial intelligence, cryptography, next-generation networks, cloud computing, and natural language processing. Moreover, it focuses on novel solutions in the context of communication and networking challenges, such as optimization algorithms, network interoperability, scalable network clustering, multicasting and fault-tolerant techniques, network authentication mechanisms, and predictive analytics.

Author: Archana Mire
Publisher: John Wiley & Sons
ISBN: 1119791758
Category : Computers
Languages : en
Pages : 436

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Book Description
Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.