Results 201 to 210 of about 2,925,891 (315)

Automated assessment of small bowel and colon cleansing in enteroscopy using a convolutional neural network. [PDF]

open access: yesEndosc Int Open
Marílio Cardoso P   +11 more
europepmc   +1 more source

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner   +6 more
wiley   +1 more source

Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley   +1 more source

The Impact of Self‐Checkout Technology on Shopping Behavior in B2B Retail: Evidence From Point‐Of‐Sale Transaction Data

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička   +1 more
wiley   +1 more source

Correcting Errors in the Adsorbed Intermediates of CO2 Electroreduction

open access: yesCarbon Energy, EarlyView.
Flying over Jacob's ladder of density functional approximations: chemical accuracy in the DFT‐based modeling of CO2 reduction electrocatalysis can be approached with our simple semiempirical method to deconvolute and correct gas‐phase errors and adsorbed‐phase errors.
Ricardo Urrego‐Ortiz   +5 more
wiley   +1 more source

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