Results 161 to 170 of about 146,110 (315)

A Review of Energy Management Strategies for Hybrid Electric Vehicles

open access: yesEnergy Science &Engineering, EarlyView.
This review systematically categorizes energy management strategies (EMS) for hybrid electric vehicles, highlighting rule‐based, optimization‐based, learning‐based, and emerging algorithm‐mixing approaches. It provides a comprehensive roadmap for developing intelligent control systems to enhance energy efficiency and promote sustainable transportation.
Song Gao   +9 more
wiley   +1 more source

Legacy effects of redlining on the distribution of greenspaces in US cities

open access: yesFrontiers in Ecology and the Environment, EarlyView.
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo   +4 more
wiley   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn   +2 more
wiley   +1 more source

Paving New Ground [PDF]

open access: yes
This paper explores the inter-connectedness and co-evolution of transportation networks and land use through the application of a Markov Chain model to the Twin Cities from 1958 through 1990.
Wei Chen, David Levinson
core  

Etymologia: Markov Chain Monte Carlo

open access: yesEmerging Infectious Diseases, 2019
Ronnie Henry
doaj   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

On A Markov Game with Incomplete Information [PDF]

open access: yes
We consider an example of a Markov game with lack of information on one side, that was first introduced by Renault (2002). We compute both the value and optimal strategies for a range of parameter values.
Dinah Rosenberg   +3 more
core  

Sensitivity of Markov chains for wireless protocols [PDF]

open access: yes, 2007
Network communication protocols such as the IEEE 802.11 wireless protocol are currently best modelled as Markov chains. In these situations we have some protocol parameters $\alpha$, and a transition matrix $P(\alpha)$ from which we can compute the ...
Dellar, Paul, Allwright, David
core  

Artificial Intelligence–Driven MRI for Cervical Nodal Metastasis Detection in Oral Squamous Cell Carcinoma: A Hierarchical Meta‐Analysis of Diagnostic Accuracy

open access: yesHead &Neck, EarlyView.
ABSTRACT Background Artificial intelligence (AI) applied to magnetic resonance imaging (MRI) may improve detection of cervical lymph node metastases in oral squamous cell carcinoma (OSCC) but is heterogeneous. Methods A systematic review identified observational studies (from 2000) evaluating AI‐based MRI in adults with histopathologically confirmed ...
José Evando da Silva‐Filho   +8 more
wiley   +1 more source

Indirect estimation of Markov switching models with endogenous switching [PDF]

open access: yes
Markov Switching models have been successfully applied to many economic problems. The most popular version of these models implies that the change in the state is driven by a Markov Chain and that the state is an exogenous discrete unobserved variable ...
Calzolari, Giorgio   +2 more
core   +1 more source

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