Forecasting the 2013–2014 influenza season using Wikipedia
Infectious diseases are one of the leading causes of morbidity and mortality around the
world; thus, forecasting their impact is crucial for planning an effective response strategy …
world; thus, forecasting their impact is crucial for planning an effective response strategy …
Adaptive Bayesian learning and forecasting of epidemic evolution—Data analysis of the COVID-19 outbreak
Since the beginning of 2020, the outbreak of a new strain of Coronavirus has caused
hundreds of thousands of deaths and put under heavy pressure the world's most advanced …
hundreds of thousands of deaths and put under heavy pressure the world's most advanced …
An intelligent particle filter for infrared dim small target detection and tracking
M Tian, Z Chen, H Wang, L Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With consideration of low tracking accuracy and even losing target when the track-before-
detect method based on particle filter (PF-TBD) tracks infrared dim small target in the …
detect method based on particle filter (PF-TBD) tracks infrared dim small target in the …
Quantifying transmission heterogeneity using both pathogen phylogenies and incidence time series
Heterogeneity in individual-level transmissibility can be quantified by the dispersion
parameter k of the offspring distribution. Quantifying heterogeneity is important as it affects …
parameter k of the offspring distribution. Quantifying heterogeneity is important as it affects …
Using a latent Hawkes process for epidemiological modelling
Understanding the spread of COVID-19 has been the subject of numerous studies,
highlighting the significance of reliable epidemic models. Here, we introduce a novel …
highlighting the significance of reliable epidemic models. Here, we introduce a novel …
State estimation in bioheat transfer: a comparison of particle filter algorithms
Purpose The purpose of this paper is to focus on applications related to the hyperthermia
treatment of cancer, with heating imposed either by a laser in the near-infrared range or by …
treatment of cancer, with heating imposed either by a laser in the near-infrared range or by …
[HTML][HTML] Evidence synthesis for stochastic epidemic models
In recent years, the role of epidemic models in informing public health policies has
progressively grown. Models have become increasingly realistic and more complex …
progressively grown. Models have become increasingly realistic and more complex …
[图书][B] Inverse heat transfer: fundamentals and applications
HRB Orlande - 2021 - taylorfrancis.com
This book introduces the fundamental concepts of inverse heat transfer solutions and their
applications for solving problems in convective, conductive, radiative, and multi-physics …
applications for solving problems in convective, conductive, radiative, and multi-physics …
Quantifying uncertainty in mechanistic models of infectious disease
L D'Agostino McGowan, KH Grantz… - American Journal of …, 2021 - academic.oup.com
This primer describes the statistical uncertainty in mechanistic models and provides R code
to quantify it. We begin with an overview of mechanistic models for infectious disease, and …
to quantify it. We begin with an overview of mechanistic models for infectious disease, and …
Estimation of the temperature field in laser-induced hyperthermia experiments with a phantom
B Lamien, H Rangel Barreto Orlande… - International Journal …, 2018 - Taylor & Francis
Background: One of the challenges faced during the hyperthermia treatment of cancer is to
monitor the temperature distribution in the region of interest. The main objective of this work …
monitor the temperature distribution in the region of interest. The main objective of this work …