Results 11 to 20 of about 11,721 (147)

From Risk Assessment to Resilience Assessment. an Application to a Hazmat Storage Plant

Chemical Engineering Transactions, 2020
The purpose of this work is to outline a framework for assessing the resilience of a petrochemical storage plant, through the construction of a dynamic hierarchical Bayesian network. The BN approach allows keeping memory of the states, in order to manage
Tomaso Vairo, Andrea Reverberi, Bruno Fabiano   +2 more
doaj   +1 more source

A Comparative Study on the Branching Pattern of Monocyclic and Bicyclic Shoots of Apple cv. “Fuji”

Frontiers in Plant Science, 2020
The development of tree architecture results from shoot growth and branching, but their relationship is still not fully understood. The goal of this study was to determine the effect of parent shoot growth characteristics on branching patterns in terms ...
Ying-Tsui Wang, Ying-Tsui Wang, Benoît Pallas, Melba R. Salazar-Gutierrez, Evelyne Costes, Gerrit Hoogenboom   +5 more
doaj   +1 more source

Performance Analyses and Improvements for IEEE 802.15.4 CSMA/CA Scheme in Wireless Multihop Sensor Networks Based on HTC Algorithm

International Journal of Distributed Sensor Networks, 2013
Most of analyses for the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme for multi-hop wireless sensor networks (WSNs) focus on how to avoid the impacts of hidden terminal problems rather than how to derive the exact
Jianping Zhu, Chunfeng Lv, Zhengsu Tao
doaj   +1 more source

New Representations for a Semi-Markov Chain and Related Filters

, 2021
In this article we investigate estimation for a partially observed semi-Markov chain, or a Hidden semi-Markov Model (HsMM). We derive semimartingale dynamics for a semi-Markov chain and give them in a new vector form which explicitly exhibits the times ...
R. Elliott, W. Malcolm
semanticscholar   +1 more source

A hidden semi‐Markov model for characterizing regime shifts in ocean density variability

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019
Societally important decadal predictions of temperature and precipitation over Europe are largely affected by variability in the North Atlantic Ocean. Within this region, the Labrador Sea is of particular importance because of its link between surface ...
T. Economou, Matthew B. Menary
semanticscholar   +1 more source

Sequential Unsupervised Motion Segmentation for Skill Evaluation and Comparison

IEEE Access
In recent years, the evaluation of motion skills in fields such as dance and exercise has benefited from the proliferation of motion-capture technologies.
Ken Kajiwara, Issei Saito, Tomoaki Nakamura, Daichi Mochihashi, Koki Mimura   +4 more
doaj   +1 more source

Stagewise crop yield prediction with multisource functional indices

Canadian Journal of Statistics, EarlyView.
Abstract Index insurance design involves integrating weather data, soil moisture, phenology information, and satellite imagery, which presents challenges in data fusion. This article addresses the modelling of multisource functional indices of varying lengths by constructing a stagewise ensemble of sequential models.
Jing Zou, Ostap Okhrin
wiley   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

International Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas, Athanassios Argiriou, Anna Mamara   +2 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source