Results 241 to 250 of about 87,576,204 (331)

Machine learning on asynchronous clinical pages to predict clinical deterioration. [PDF]

JAMIA Open
Arvelo IC, Shipley K, Wright A, Steitz BD.   +3 more
europepmc   +1 more source

Drivers of northern peatland CO₂ fluxes revisited: interacting water level-temperature dependency. [PDF]

Nat Commun
Behrens N, Brümmer C, Kasak K, Skeeter J, Strachan IB, van der Velde Y, Evans CD, Morrison R, Helfter C, Bertrand G, Gogo S, Jacotot A, Schaller C, Yeung K, Gharun M.   +14 more
europepmc   +1 more source

Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete. [PDF]

PLoS One
Nga NTT, Tuan NA, Tu NT, Dang HT.
europepmc   +1 more source

Decorrelating carbon and water fluxes in the Amazon Basin. [PDF]

Nat Commun
Worden S, Madani N, Li L, McDowell N, Yang Y, Saatchi S.   +5 more
europepmc   +1 more source

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Machine-to-machine communications: Technologies and challenges

Ad Hoc Networks, 2014
Machine-to-machine (M2M) communications emerge to autonomously operate to link interactions between Internet cyber world and physical systems. We present the technological scenario of M2M communications consisting of wireless infrastructure to cloud, and machine swarm of tremendous devices. Related technologies toward practical realization are explored
Kwang-Cheng Chen, Shao-Yu Lien
exaly   +4 more sources

Machine-to-Machine (M2M) communications: A survey

Journal of Network and Computer Applications, 2016
Machine-to-Machine (M2M) communication is a promising technology for next generation communication systems. This communication paradigm facilitates ubiquitous communications with full mechanical automation, where a large number of intelligent devices connected by wired/wireless links, interact with each other without direct human intervention.
Maazen Alsabaan, Tarek Khalifa, Kshirasagar   +2 more
exaly   +3 more sources

Machine-to-Machine Communications in Ultra-Dense Networks—A Survey

IEEE Communications Surveys and Tutorials, 2017
Hsiao-Hwa Chen, Weixiao Meng, Shuyi Chen
exaly   +2 more sources

A Survey of Enabling Technologies of Low Power and Long Range Machine-to-Machine Communications

IEEE Communications Surveys and Tutorials, 2017
Hai Wang, Abraham O Fapojuwo
exaly   +2 more sources

Radio Resource Management in Machine-to-Machine Communications—A Survey

IEEE Communications Surveys and Tutorials, 2018
Chu-Sing Yang, Hsiao-Hwa Chen, Nian Xia
exaly   +2 more sources

Machine-to-Machine Communication

IEEE Software, 2014
Although wireless communication is integral to our daily lives, there are numerous crucial questions related to coverage, energy consumption, reliability, and security when it comes to industrial deployment. The authors provide an overview of wireless machine-to-machine (M2M) technologies in the context of a smart factory.
Michael Weyrich, Jan-Philipp Schmidt, Christof Ebert   +2 more
openaire   +2 more sources