Results 71 to 80 of about 87,409 (295)

When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective

open access: yes, 2015
Mobile sensing is an emerging technology that utilizes agent-participatory data for decision making or state estimation, including multimedia applications.
Chen, Pin-Yu   +4 more
core   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

open access: yesAdvanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang   +7 more
wiley   +1 more source

Collective intelligence in fingerprint analysis

open access: yesCognitive Research, 2020
When a fingerprint is located at a crime scene, a human examiner is counted upon to manually compare this print to those stored in a database. Several experiments have now shown that these professional analysts are highly accurate, but not infallible ...
Jason M. Tangen   +2 more
doaj   +1 more source

Crisis Analytics: Big Data Driven Crisis Response [PDF]

open access: yes, 2016
Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point.
Ali, Anwaar   +5 more
core   +2 more sources

The Wisdom of Competitive Crowds [PDF]

open access: yesSSRN Electronic Journal, 2011
When several individuals are asked to forecast an uncertain quantity, they often face implicit or explicit incentives to be the most accurate. Despite the desire to elicit honest forecasts, such competition induces forecasters to report strategically and nontruthfully. The question we address is whether the competitive crowd's forecast (the average of
Kenneth C. Lichtendahl   +2 more
openaire   +1 more source

Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade

open access: yesAgribusiness, EarlyView.
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley   +1 more source

Usability of a gamified antibiotic resistance awareness mobile application: A qualitative evaluation

open access: yesIET Networks, EarlyView., 2022
The purpose of this study is to reveal the findings from the usability evaluation of an antibiotic resistance awareness app (SEDAR) app and present the necessary critical revisions made to improve the usability further. This study adopted guerrilla testing, observation, and retrospective probing methods to evaluate the usability of the SEDAR app ...
Ummul Hanan Mohamad   +2 more
wiley   +1 more source

Does the “surprisingly popular” method yield accurate crowdsourced predictions?

open access: yesCognitive Research, 2020
The “surprisingly popular” method (SP) of aggregating individual judgments has shown promise in overcoming a weakness of other crowdsourcing methods—situations in which the majority is incorrect.
Abraham M. Rutchick   +3 more
doaj   +1 more source

The Social Epistemology of Consensus and Dissent [PDF]

open access: yes, 2019
This paper reviews current debates in social epistemology about the relations ‎between ‎knowledge ‎and consensus. These relations are philosophically interesting on their ‎own, but ‎also have ‎practical consequences, as consensus takes an increasingly ...
Miller, Boaz
core   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

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