Results 91 to 100 of about 157,745 (232)

Participants Ranking Algorithm for Crowdsensing in Mobile Communication

EAI Endorsed Transactions on Scalable Information Systems, 2018
As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are flooding the internet with data that are everywhere and
Tariq Ali, Javeria Noureen, Umar Draz, Ahmad Shaf, Sana Yasin, Muhammad Ayaz   +5 more
doaj   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

COVID-19 pandemic changes the recreational use of Moscow parks in space and time: Outcomes from crowd-sourcing and machine learning. [PDF]

Urban For Urban Green, 2023
Matasov V, Vasenev V, Matasov D, Dvornikov Y, Filyushkina A, Bubalo M, Nakhaev M, Konstantinova A.   +7 more
europepmc   +1 more source

German crowd-investing platforms: Literature review and survey [PDF]

, 2016
This article presents a comprehensive overview of the current German crowd-investing market drawing on a data-set of 31 crowd-investing platforms including the analysis of 265 completed projects. While crowd-investing market still only represents a niche
David Grundy, Ohmer, Carolina, Carolina Ohmer, Grundy, David   +3 more
core   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Comparing output from two methods of participatory design for developing implementation strategies: traditional contextual inquiry vs. rapid crowd sourcing. [PDF]

Implement Sci, 2022
Becker-Haimes EM, Ramesh B, Buck JE, Nuske HJ, Zentgraf KA, Stewart RE, Buttenheim A, Mandell DS.   +7 more
europepmc   +1 more source

Crowd-sourcing ontology content and curation: the massive ontology interface

, 2014
Crowd-sourcing is an increasingly popular approach to building large, complex public-interest projects. The ontology infrastructure that is required to scaffold the goals of the Semantic Web is such a project. We have been thinking hard about what ‘crowd-
S Sarjant (13648786), M Stannett (13648795), D Willcock (13648942), Cathy Legg (13064532)   +3 more
core  

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-Case

Computing&AI Connect
Crowd-sourcing has been widely explored for monitoring and feedback on infrastructure and services, such as air and water quality analysis. However, the traditional methods of crowd-sourcing for feedback and analysis of water quality, namely offline and ...
Muhammad Asif Ayub, Muhammad Tayyab Zamir, Imran Khan, Hannia Naseem, Nasir Ahmad, Kashif Ahmad   +5 more
doaj   +1 more source

The cognitive and social stake of crowd sourcing.

, 2009
International ...
Noucher, Matthieu, Golay, François
core