Results 41 to 50 of about 14,052 (271)

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Dynamic Bayesian network inferencing for non-homogeneous complex systems

, 2017
Dynamic Bayesian Networks (DBNs) provide a versatile platform for predicting and analysing the behaviour of complex systems. As such, they are well suited to the prediction of complex ecosystem population trajectories under anthropogenic disturbances ...
Paul P.-Y. Wu, Kendrick, Gary A., McMahon, Kathryn, Kerrie Mengersen, Mengersen, Kerrie, M. Julian Caley, Gary A. Kendrick, Kathryn McMahon, Wu, Paul P.Y., Caley, M. Julian   +9 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Statistical Inference of Weighted Extropy Under Outlier Influence: An MCMC Approach with Data Applications

Scientific African
Extropy has recently become a focal point of study as a measure of uncertainty in probability distributions and serves as the dual complement to entropy.
Amal S. Hassan, Eslam Abdelhakim Seyam, Said G. Nassr, Rokaya Elmorsy Mohamed   +3 more
doaj   +1 more source

First-moment stability of Markov Jump Linear Systems with homogeneous and inhomogeneous transition probabilities

, 2022
This work provides 1-moment stability conditions for discrete-time Markov Jump Linear Systems under time-homogeneous and time-inhomogeneous transition probabilities. For the latter, we further address the polytopic switching case. The analysis is carried
Manes C., D'Innocenzo A., De Iuliis V.
core   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Multi-stage day-ahead and intra-day resource scheduling and market bidding strategy for integrated PV-ESS-EV station under multiple uncertainties

International Journal of Electrical Power & Energy Systems
Integrated PV-ESS-EV Stations (IPEES) are emerging as significant market players that integrate variable photovoltaic (PV) generation with time-coupled energy storage system (ESS) and the flexible demand of electric vehicles (EVs), participating in day ...
Ximu Liu, Yujian Ye, Hongru Wang, Cun Zhang, Hengyu Liu, Zhi Zhang, Xi Zhang, Dezhi Xu, Goran Strbac   +8 more
doaj   +1 more source

Applications of hidden Markov models in financial modelling [PDF]

, 2008
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.Various models driven by a hidden Markov chain in discrete or continuous time are developed to capture the stylised features of market variables whose ...
Erlwein, Christina
core  

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

Advanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source