Results 211 to 220 of about 7,049,980 (289)

Output Quality, Productivity, and Demand: Evidence from the Chinese Steel Industry

The RAND Journal of Economics, EarlyView.
ABSTRACT Unobserved objective output quality complicates the analysis of firm productivity and demand because higher‐quality products entail higher costs but offer greater consumption benefits. Using a panel of firms with output quality data, we decompose quantity‐based productivity into fundamental productivity and the costs of quality, and separate ...
Jing Li, Shengyu Li, Hongsong Zhang
wiley   +1 more source

Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]

PLoS One
Guo J, Liu R, Xing J.
europepmc   +1 more source

The Incidence of Coarse Certification: Evidence From the ENERGY STAR Program

The RAND Journal of Economics, EarlyView.
ABSTRACT A coarse certification provides simple but incomplete information. Its rationale is to help consumers trade off dimensions of quality that are complex and lack salience. In imperfectly competitive markets, it may induce excess bunching at the certification requirement, crowd out quality, and facilitate price discrimination. Who will ultimately
Sébastien Houde
wiley   +1 more source

Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach. [PDF]

Front Neurorobot
Hangsun Y, Jiang C, Zhang Z, Ouyang H, Chen P.   +4 more
europepmc   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source

A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection. [PDF]

Sensors (Basel)
Zhu Y, Song Y, Xuan Y, Song Y, Pu J, Li J, Li M.   +6 more
europepmc   +1 more source

What exploitation is

American Journal of Political Science, EarlyView.
Abstract We experimentally elicit views of what exploitation is from over 2,000 subjects. Our experimental design does not test existing theories of exploitation. Rather, it focuses on more fundamental properties that are the building blocks for these theories.
Benjamin Ferguson, Peter Hans Matthews, David Ronayne, Roberto Veneziani   +3 more
wiley   +1 more source

Data-driven predictive maintenance of induction motors using self-supervised and federated learning on noisy current and vibration signals. [PDF]

Sci Rep
Gopalakrishnan T, Shanmugasundaram N, Simon D, Chan CK, Sonawane C, Dixit S, Bongale A.   +6 more
europepmc   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

Federated Privacy-Preserving Multi-Modal Deep Learning for Breast Cancer Diagnosis: A Physics-Aware Approach. [PDF]

Diagnostics (Basel)
Al-Karawi ALS, Mohammedqasim H, Yılmaz R.   +2 more
europepmc   +1 more source