Powering the internet of things

H Jayakumar, K Lee, WS Lee, A Raha, Y Kim… - Proceedings of the …, 2014 - dl.acm.org
… smart objects connected to the Internet of Things (more than six times the world’s projected
population at the time), … These smart objects will pervade all aspects of our daily lives and …

Searching in internet of things: Vision and challenges

D Zhang, LT Yang, H Huang - 2011 IEEE Ninth International …, 2011 - ieeexplore.ieee.org
Internet into the physical world such that objects can be managed remotely and act as physical
access points to Internet … by real-time tracking physical objects. Correspondingly, it opens …

[PDF][PDF] Threats Detection in the Internet of Things Using Convolutional neural networks, long short-term memory, and gated recurrent units

NA Bajao, J Sarucam - Mesopotamian journal of cybersecurity, 2023 - iasj.net
… thanks to the Internet of Things (IoT). By 2020, up to 50 billion gadgets are anticipated to
be linked to the internet, according to IBM [2]. The availability of brilliant things will expand the …

Artificial intelligence in Internet of things

A Ghosh, D Chakraborty, A Law - CAAI Transactions on …, 2018 - Wiley Online Library
… stationary (sitting or lying down) for a long period of time. However, it does not alert when
the … short-term decision-making capabilities are embedded in a smart device. For long-term

From internet of things to internet of agents

H Yu, Z Shen, C Leung - … Internet of Things and IEEE cyber …, 2013 - ieeexplore.ieee.org
… Unfortunately, very few practical MASs have been deployed after such a long period of
intensive research and development. For MASs to achieve higher popularity among end-users, …

[图书][B] The internet of things in the cloud

H Zhou - 2012 - api.taylorfrancis.com
… We choose to use the term Web 3.0 instead of Web 4.0 based on the concept of machine-
generated data in addition to the Semantic Web, which seems to not have much substance up …

DLSTM: Distributed long short-term memory neural networks for the Internet of Things

G Wen, J Qin, X Fu, W Yu - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Although the development of Internet of Things (IoT) provides a significant boost for the
applications of deep learning algorithms, it is generally hard to fully implement the deep learning …

[PDF][PDF] The Internet of Things: Sizing up the opportunity

H Bauer, M Patel, J Veira - Retrieved from: McKinsey at http://www …, 2014 - mckinsey.de
… opportunities in the Internet of Things given the breadth of … of the market for Internet of
Things applications and devices. … but also long-term innovation across the Internet of Things. …

A localization method for the Internet of Things

Z Chen, F Xia, T Huang, F Bu, H Wang - The Journal of Supercomputing, 2013 - Springer
… However, in practice the coordinate set may not be able to construct a rectangle when blind
node moves from one grid to another or due to long period of blind node paging. So firstly …

Scalable and robust outlier detector using hierarchical clustering and long short-term memory (lstm) neural network for the internet of things

RM Shukla, S Sengupta - Internet of Things, 2020 - Elsevier
… We reduce time-series vector near every sensor to a low dimensional representation
using Principal Component Analysis (PCA). Reducing time-series to a low dimensional …