Results 181 to 190 of about 335,066 (290)

The Decentralization of Liquor Policies in Texas During the Post‐Prohibition Era

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We examine the decentralization of liquor policies in Texas during the Post‐Prohibition era using newly collected historical legislative roll call data. By combining these data with local referendum vote shares, we analyze both legislators' and constituents' preferences on liquor policy.
Andrew Arnold, Holger Sieg
wiley   +1 more source

A hybrid CNN-ViT based framework for automatic traffic actions detection in smart cities. [PDF]

open access: yesPLoS One
Karaduman M   +5 more
europepmc   +1 more source

How to Demonstrate Trustworthy Use of AI in Public Services: A Case Study

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Government leaders across the globe are grappling with how to harness and integrate artificial intelligence (AI) to enhance public service delivery and efficiency. Yet, a key challenge faced is how to build and maintain the trust of stakeholders. Trust is critical for the acceptance and sustained adoption of AI technologies, as well as to gain
Natalie Smith   +5 more
wiley   +1 more source

Dynamic Trust Formation in AI‐Enabled Automation: A Longitudinal Case Study of an Advanced Driver Assistance System

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Artificial intelligence (AI)–enabled automation is often utilised in systems that perform human tasks. While useful, these technologies pose a risk of adverse consequences in the case of AI failures as they operate in open environments, learn and are subject to continuous updates.
Kari M. Koskinen   +3 more
wiley   +1 more source

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer   +3 more
wiley   +1 more source

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