21st International Conference, ICEIS 2019, Heraklion, Crete, Greece, May 3–5,
2019, Revised Selected Papers Joaquim Filipe, Michał Śmiałek, Alexander ... In: 2017 13th IEEE Conference on Automation Science and Engineering (CASE), pp
Author: Joaquim Filipe
Publisher: Springer Nature
This book constitutes extended, revised and selected papers from the 21st International Conference on Enterprise Information Systems, ICEIS 2019, held in Heraklion, Crete, Greece, in May 2019. The 26 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 205 submissions. They deal with topics such as data science and databases; ontologies; social networks; knowledge management; software development; human-computer interaction, and multimedia.
Confederated International Workshops: EI2N, FBM, ICSP, and Meta4eS 2018,
Valletta, Malta, October 22–26, 2018, ... In: 2017 13th IEEE Conference on Automation Science and Engineering (CASE), Xi'an, China, 20–23 August 2017,
Author: Christophe Debruyne
This volume constitutes the refereed proceedings of the Confederated International International Workshop on Enterprise Integration, Interoperability and Networking (EI2N ), Fact Based Modeling ( FBM), Industry Case Studies Program ( ICSP ), and International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (Meta4eS), held as part of OTM 2018 in October 2018 in Valletta, Malta. As the three main conferences and the associated workshops all share the distributed aspects of modern computing systems, they experience the application pull created by the Internet and by the so-called Semantic Web, in particular developments of Big Data, increased importance of security issues, and the globalization of mobile-based technologies.
Jia Z, Shen C, Yi X, Chen Y, Yu T, Guan X (2017) Big-data analysis of multi-
source logs for anomaly detection on network-based system. In: 2017 13th IEEE conference on automation science and engineering (CASE), pp 1136–1141 7.
In Proceedings of the 2017 13th IEEE Conference on Automation Science and Engineering (CASE), Xi'an, China, 20–23 August 2017. [CrossRef] 27. Wang, J.;
Fei, Z.; Chang, Q.; Li, S.; Fu, Y. Multi-State Decision of Unreliable Machines for ...
Author: Paolo Renna
Category: Technology & Engineering
This book is dedicated to the latest findings on the design and optimization of production lines. The “Fourth Industrial Revolution” (alternatively known as “Industry 4.0”) supports innovative models for energy consumption and fault tolerance in automated lines, and this drives changes in the design and optimization models of production lines. The goal is to collect a series of works that can summarize the latest trends in the field of production line optimization models in order to improve the responsiveness of automated lines to failures, reduce energy consumption and peak electricity demand, and develop other methods to support robust and sustainable production lines.
Proceedings of the IEEE 28th Annual Northeast Bioengineering Conference ( IEEE Cat. ... 2018 13th World Congress on Intelligent Control and Automation (
WCICA), Changsha, China, 2018, pp 135-140. 40. Mango CW, Tsirbas ... 2017;
12(7): 1131-1140. 46. Hu Y ... 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Munich, Germany, 2018, pp 35-42
. 51. Volkov ...
Author: Daniel A. Hashimoto
Publisher: McGraw Hill Professional
Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.
Author: American Institute of Aeronautics and Astronautics. Technical Information ServicePublish On: 1995
In particular , in case of organic substrate materials , the advantages of the APS
are outstanding . ... Osaka Prefecture University , Bulletin , Series A - Engineering
and Natural Sciences ( ISSN 0474-7844 ) , vol . 43 , no . 2 , 1994 , p . 113-117 . 4
rets . The friction welding of low - weldability 2017 aluminum alloy and S45C
carbon steel was conducted using the insert metals of A1050 ... In : 1994
American Control Conference , 13th , Baltimore , MD , June 29 - July 1 , 1994 ,
Author: American Institute of Aeronautics and Astronautics. Technical Information Service