Results 91 to 100 of about 47,794 (185)

Fixed‐Time Zeroing Neural Dynamics for Adaptive Coordination of Multi‐Agent Systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents an adaptive multi‐agent coordination (AMAC) strategy suitable for complex scenarios, which only requires information exchange between neighbouring robots. Unlike traditional multi‐agent coordination methods that are solved by neural dynamics, the proposed strategy displays greater flexibility, adaptability and scalability ...
Cheng Hua   +3 more
wiley   +1 more source

Dynamic Bayesian Network for Continuous Health Index Estimation and Condition Assessment of Power Transformers

open access: yesHigh Voltage, EarlyView.
ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li   +3 more
wiley   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

open access: yesIET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

Dutch dilemma: Housing prices and flood risk exposure

open access: yesReal Estate Economics, EarlyView.
Abstract This article studies the impact of flood risk exposure on housing prices in a major river delta. Analyzing 1.8 million property transactions from 1998 to 2023 in the Netherlands, we find an average price discount of 1.1%. We observe considerable heterogeneity in price effects driven by exposure intensity, institutional settings that vary ...
Piet Eichholtz   +2 more
wiley   +1 more source

Explainable spatial machine learning for hedonic real estate modeling

open access: yesReal Estate Economics, EarlyView.
Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger   +5 more
wiley   +1 more source

Gamma distributions for stationary Poisson flat processes

open access: yesAdvances in Applied Probability, 2009
Volker Baumstark, G. Last
semanticscholar   +1 more source

Asymmetric Platform Oligopoly

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT We propose a tractable model of asymmetric platform oligopoly with logit demand in which users from two distinct groups are subject to within‐group and cross‐group network effects and decide which platform to join. We characterize the equilibrium when platforms manage user access by setting participation fees for each user group.
Martin Peitz, Susumu Sato
wiley   +1 more source

Unveiling the factors of aesthetic preferences with explainable AI

open access: yesBritish Journal of Psychology, EarlyView.
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley   +1 more source

A tutorial for understanding SEM using R: Where do all the numbers come from?

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley   +1 more source

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal   +3 more
wiley   +1 more source

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