Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning
Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning
edited by Thi Thi Zin, Jerry Chun-Wei Lin.
- 1 recurso en línea (XIV, 386 páginas) 190 ilustraciones
- Advances in Intelligent Systems and Computing 744 2194-5357 Intelligent Technologies and Robotics (Springer-42732) .
Big data analysis -- Machine learning and applications -- Monitoring system by using image processing -- Conventional neural networks and its applications -- Information and communication -- Industrial information systems and applications.
This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.
9789811308697
10.1007/978-981-13-0869-7 doi
Datos masivos--Congresos y asambleas
QA76.9.B45 / 2019 EB
Big data analysis -- Machine learning and applications -- Monitoring system by using image processing -- Conventional neural networks and its applications -- Information and communication -- Industrial information systems and applications.
This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.
9789811308697
10.1007/978-981-13-0869-7 doi
Datos masivos--Congresos y asambleas
QA76.9.B45 / 2019 EB