Proceedings Of International Conference On Deep Learning Computing And Intelligence


Download Proceedings Of International Conference On Deep Learning Computing And Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Proceedings Of International Conference On Deep Learning Computing And Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Proceedings of International Conference on Deep Learning, Computing and Intelligence


Proceedings of International Conference on Deep Learning, Computing and Intelligence

Author: Gunasekaran Manogaran

language: en

Publisher: Springer Nature

Release Date: 2022-04-26


DOWNLOAD





This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things


Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Author: Sam Goundar

language: en

Publisher: IAP

Release Date: 2024-03-01


DOWNLOAD





As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Advances in Data-Driven Computing and Intelligent Systems


Advances in Data-Driven Computing and Intelligent Systems

Author: Swagatam Das

language: en

Publisher: Springer Nature

Release Date: 2024-02-25


DOWNLOAD





This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.