output
20142024
most citedPseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial Neural Network

110 citations

5 papers

q-bio.PE2024★ 1 cited

Within-vector viral dynamics challenges how to model the extrinsic incubation period for major arboviruses: dengue, Zika, and chikungunya

Léa Loisel, Vincent Raquin, Maxime Ratinier +2

Arboviruses represent a significant threat to human, animal, and plant health worldwide. To elucidate transmission, anticipate their spread and efficiently control them, mechanisti…

q-bio.PE2024

Individual or collective treatments: how to target antimicrobial use to limit the spread of \textit{Mannheimia haemolytica} among beef cattle?

Baptiste Sorin-Dupont, Antoine Poyard, Sebastien Assie +2

The overuse of antibiotics has become a major global concern due to its role in diminishing treatment effectiveness and positively selecting antibiotic-resistant bacterial strains.…

q-bio.PE2023

Inference using a composite-likelihood approximation for stochastic metapopulation model of disease spread

Gaël Beaunée, Pauline Ezanno, Alain Joly +2

Spatio-temporal pathogen spread is often partially observed at the metapopulation scale. Available data correspond to proxies and are incomplete, censored and heterogeneous. Moreov…

physics.soc-ph2023★ 11 cited

Multifunctional, Self-Cleaning Air Filters Based on Graphene-Enhanced Ceramic Networks

Armin Reimers, Ala Bouhanguel, Erik Greve +9

Particulate air pollution is taking a huge toll on modern society, being associated with more than three million deaths per year. In addition, airborne infectious microorganism can…

cs.CE2014★ 110 cited

Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial Neural Network

S. Paudel, M. Elmtiri, W. L. Kling +2

This paper presents the building heating demand prediction model with occupancy profile and operational heating power level characteristics in short time horizon (a couple of days)…