2018 Fourth International Conference on Computing, Communication, Control and Automation (ICCUBEA) PDF Download

Author:
Publisher:
ISBN: 9781538652572
Category :
Languages : en
Pages :

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Author: IEEE Staff
Publisher:
ISBN: 9781538652589
Category :
Languages : en
Pages :

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Book Description
The research domains like Computing, Communication, Control and Automation has led to exponential increase in the number of people using these technologies and also their interest in research and development activities To prepare ourselves for this global competition, Pimpri Chinchwad College of Engineering, Pune has conceptualized the 4th International Conference on Computing Communication Control and Automation (ICCUBEA) 2018 under IEEE Pune Section during 16th to 18th August, 2018 This three days International Conference ICCUBEA 2018 will focus on the latest research trends and applications in the domains of Computing, Communication, Control and Automation This conference is designed to provide a common platform to the academicians, research scholars, industry experts and students to spread knowledge on scientific research in Interdisciplinary areas Also the pre conference tutorials by the esteemed experts will enrich the technical takeaways for the delegates

Author: M. Shamim Kaiser
Publisher: Springer Nature
ISBN: 9811994838
Category : Technology & Engineering
Languages : en
Pages : 537

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Book Description
This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 4th International Conference on Trends in Cognitive Computation Engineering (TCCE 2022), hosted by Mawlana Bhashani Science and Technology University, Tangail, Bangladesh, during December 17–18, 2022. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Author: Dilip Kumar Sarkar
Publisher: Springer Nature
ISBN: 9819927102
Category : Technology & Engineering
Languages : en
Pages : 698

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Book Description
The book is a collection of best selected research papers presented at the Fourth International Conference on Communication, Devices and Computing (ICCDC 2023). The book covers new ideas, applications and experiences of research engineers, scientists, industrialists, scholars and students from in and around the globe. It covers research contributions from communication technologies which are from the areas such as 5G communication, next-generation Wi-Fi, spread spectrum systems, satellite and high altitude platforms, radio over fiber techniques, wireless sensor networks, modulation and diversity technique, ad hoc and mesh networks, cognitive radio networking, optical wireless and visible light communications, signal processing for secure communication, millimeter wave and terahertz communication, design, control and management of optical network, error control coding and information theory, printed antennas, performance analysis of wireless network, smart antennas and space time processing.

Author: Sudeep Tanwar
Publisher: Springer Nature
ISBN: 981972550X
Category :
Languages : en
Pages : 965

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Author: Pradeep Kumar Singh
Publisher: Springer Nature
ISBN: 9811533695
Category : Technology & Engineering
Languages : en
Pages : 886

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Book Description
This book features selected research papers presented at the First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019), organized by Northwest Group of Institutions, Punjab, India, Southern Federal University, Russia, and IAC Educational Trust, India along with KEC, Ghaziabad and ITS, College Ghaziabad as an academic partner and held on 12–13 October 2019. It includes innovative work from researchers, leading innovators and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.

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

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Book Description
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: Lopa Mandal
Publisher: Springer Nature
ISBN: 9811916578
Category : Technology & Engineering
Languages : en
Pages : 466

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Book Description
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Author: Manish Prateek
Publisher: Springer Nature
ISBN: 9813340878
Category : Artificial intelligence
Languages : en
Pages : 813

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This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Author: Amandeep Kaur
Publisher: CRC Press
ISBN: 104012612X
Category : Computers
Languages : en
Pages : 267

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Book Description
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information. Features: Offers a thorough introduction of federated deep learning methods designed exclusively for medical applications. Investigates privacy-preserving methods with emphasis on data security and privacy. Discusses healthcare scaling and resource efficiency considerations. Examines methods for sharing information among various healthcare organizations while retaining model performance. This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare.