Results 41 to 50 of about 634,036 (142)
Abstract Interorganizational relationships (IORs) are critical for innovation, international growth and tackling societal challenges. Despite their potential, IORs are inherently conflict‐prone due to the tension between collaboration and organizational autonomy.
Valérie Duplat +2 more
wiley +1 more source
An adaptive recursive filter. [PDF]
An adaptive recursive digital filter is presented in which feedback and feedforward gains are adjusted adaptively to minimize a least square performance function on a sliding window averaging process.
Ko, Soon-Ju
core +1 more source
State estimation of DDS-DNNS with stochastic event-triggered mechanism under Bayes theory
Addressing the state estimation problem of a single positioning node in a decentralized networked navigation system based on data distribution service(DDS-DNNS), considering node energy constraints and sensor gain degradation, a minimum mean square error(
Gu Haolun, Dai Shaowu, Wan Bing
doaj +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Prediction of COVID-19 Using a Clinical Dataset With Machine Learning Approaches.
COVID-19 is an infectious disease that spreads quickly from person to another. The pandemic, which spread worldwide over time, presents huge risks in terms of blood clotting, breathing problems and heart attacks, sometimes with fatal consequences if not
A. Suruliandi, R. Ame Rayan, S. P. Raja
doaj +1 more source
Abstract This conceptual article argues that the mutual relevance of grand challenges and organization and management studies is best approached phenomenologically. Rather than constituting objects to be theorized or denoting special empirical contexts, grand challenges structure researchers’ attention and shape their interpretations of the processes ...
Alfredo Grattarola +2 more
wiley +1 more source
What Are The Drivers of Labour Productivity in Italy?
ABSTRACT This paper introduces a novel sign restriction identification within a structural Bayesian vector autoregression (VAR) to analyse how labour productivity responds to supply and demand shocks and to quantify the contribution of shocks to cyclical fluctuations.
Josué Diwambuena, Francesco Ravazzolo
wiley +1 more source
Teacher Perspectives of Student Engagement in Data Practice Instruction: Two Classroom Conditions
ABSTRACT This study examines high school science teachers' perceptions of student engagement in data practices across two instructional contexts: a scaffolded, student‐centered environment using the Science Practices Innovation Notebook (SPIN) and a business‐as‐usual (BAU) teacher‐led investigation.
Erin Peters‐Burton +4 more
wiley +1 more source
ABSTRACT We present an efficient multi‐object map‐matching approach for scene modeling in the context of automated driving. The mapping of traffic participants to the road topology is a key component of the scene modeling step in the processing pipeline for situation‐aware automated driving.
Maximilian Gerwien, Klaus Röbenack
wiley +1 more source
On a design consistency property of hierarchical Bayes estimators in finite population samplings. [PDF]
We obtain a limit of a hierarchical Bayes estimator of a finite population mean when the sample size is large. The limit is in the sense of ordinary calculus, where the sample observations are treated as fixed quantities. Our result suggests a simple way
Lahiri, P, Mukherjee, Kanchan
core +2 more sources

