IoT meets distributed AI-Deployment scenarios of Bonseyes AI applications on FIWARE

L Moor, L Bitter, M De Prado, N Pazos… - 2019 IEEE 38th …, 2019 - ieeexplore.ieee.org
Bonseyes is an Artificial Intelligence (AI) platform composed of a Data Marketplace, a Deep
Learning Toolbox, and Developer Reference Platforms with the aim of facilitating tech and …

In-situ ai: Towards autonomous and incremental deep learning for iot systems

M Song, K Zhong, J Zhang, Y Hu, D Liu… - … Symposium on High …, 2018 - ieeexplore.ieee.org
Recent years have seen an exploration of data volumes from a myriad of IoT devices, such
as various sensors and ubiquitous cameras. The deluge of IoT data creates enormous …

[引用][C] Iot analytics: using big data to architect iot solutions

S Perera - URL: http://wso2. com/whitepapers/iot-analytics-using …, 2015

Edgeprog: Edge-centric programming for iot applications

B Li, W Dong - 2020 IEEE 40th International Conference on …, 2020 - ieeexplore.ieee.org
IoT application development usually involves separate programming at the device side and
server side. While separate programming style is sufficient for many simple applications, it is …

Survey of IoT platforms supporting artificial intelligence

S Kim, J Park, J Jeong, YS Yun, S Eun… - Proceedings of the …, 2019 - dl.acm.org
IoT (Internet of Things) has become one of the most emerging and powerful technology to
improve our quality of life by connecting physical objects of real-world together. With the …

[图书][B] Artificial Intelligence for IoT Cookbook: Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

M Roshak - 2021 - books.google.com
Implement machine learning and deep learning techniques to perform predictive analytics
on real-time IoT data Key FeaturesDiscover quick solutions to common problems that you'll …

A software architecture to enable self-organizing, collaborative iot ressource networks

T Lewandowski, D Henze, M Sauer… - … Conference on Fog …, 2020 - ieeexplore.ieee.org
Since recent years, the industrial world is facing a significant change from components and
systems that are designed and configured for one well-analyzed scenario using well …

[图书][B] Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems

A Kapoor - 2019 - books.google.com
Build smarter systems by combining artificial intelligence and the Internet of Things—two of
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …

A Comparative Study of Software Architectures in Constrained Device IoT Deployments

S du Plessis, N Correia - … Conference on Internet of Things and …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an area that has consistently seen growth and development
and will no doubt continue to do so. One group of IoT devices-constrained devices-has seen …

SLICE: self-learnable IoT common software engine

YH Suh, SP Woo, DH Park - … of the 8th International Conference on the …, 2018 - dl.acm.org
From the perspective of IoT, AmI is one of the promising application areas combining AI and
IoT. Existing edge-based IoT platforms provide a centralized AmI intelligence such as …