Showing papers by "Centre national de la recherche scientifique published in 2022"
TL;DR: This paper provides a review on the use of machine learning techniques in the design of different elements of meta-heuristics for different purposes including algorithm selection, fitness evaluation, initialization, evolution, parameter setting, and cooperation.
106 citations
01 Jan 2022
TL;DR: Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing as mentioned in this paper, and have been used in many applications such as artificial intelligence, machine learning and artificial intelligence applications.
Abstract: Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that...
55 citations
TL;DR: In this paper, a relatively under-researched system based on the management of landscape level crop diversity that would reduce demand for pesticide use and increase conservation biocontrol is proposed.
24 citations
DOI•
14 Jan 2022
TL;DR: This work reviews one approach that relies on rigorously defined computational models to specify the links between linguistic features and neural signals and describes one such data set in detail in the Supplementary Appendix.
Abstract: Efforts to understand the brain bases of language face the mapping problem: at what level do linguistic computations and representations connect to human neurobiology? We review one approach to this problem that relies on rigorously defined computational models to specify the links between linguistic features and neural signals. Such tools can be used to estimate linguistic predictions, model linguistic features, or specify a sequence of processing steps that may be quantitatively fit to neural signals collected while participants use language. Progress has been helped by advances in machine learning, attention to linguistically interpretable models, and openly shared datasets that allow researchers to compare and contrast a variety of models. We describe one such dataset in detail in the supplementary materials.
24 citations
TL;DR: In this paper, the authors investigated the hydrogenation of levulinic acid (LA) and butyl levulinate (BL) in a one-pot setup with a single-stage reaction.
23 citations
TL;DR: In this paper, the authors compare three common strategies to measure porosity: the Archimedes, micrograph-based, and micro-computed tomography approaches and find that while these methods work equally well at low void fraction, their predictions diverge at higher void fractions (> 5 %).
20 citations
TL;DR: In this paper, a graph-based deep semi-supervised framework was proposed for classifying COVID-19 from chest X-rays, which is able to outperform the current leading supervised model with a tiny fraction of the labelled examples.
20 citations
TL;DR: In this article, the authors report a workflow that provides a quantitative basis to determine the safety and efficacy of a medical mask that is decontaminated for reuse, with the goal of finding ways to reuse medical and respiratory masks in healthcare departments.
20 citations
TL;DR: This study investigates the most recent variant of RAP, namely, the RAP with heterogeneous components under the mixed redundancy strategy, and proposes an exact branch-and-price algorithm for the problem that solves in less than one CPU second all the benchmark instances reported in the literature.
19 citations
TL;DR: In this paper, a critical review highlights the complexity of EDCs interfering with thyroid hormone function through their interactions with other hormonal axes involved in reproduction, stress, and energy metabolism, and suggests that EDC-derived effects are likely to cascade into a plurality of physiological effects far more complex than the few variables tested within any research studies.
TL;DR: To produce feasible and industrially meaningful schedules, the recently proposed batch-oblivious approach is extended by considering unavailability periods and minimum time lags and by simultaneously optimizing multiple criteria that are relevant in the industrial context.
TL;DR: A quantitative review of 208 studies carried out between 1984 and 2020 that explore VOCs as potential biomarkers of cancers is presented in this article, where the main findings of these studies, listing and classifying VOC related to different cancer types while considering both sampling methods and analysis techniques.
TL;DR: Li+/Mg2+ hybrid-ion batteries (LMIBs) are considered as an attractive alternative of next generation metal secondary batteries as mentioned in this paper, integrating the merits of lithium ion batteries and magnesium ion batteries (MIBs).
TL;DR: A degradation indicator is proposed based on the polarization model and the nonlinear regression method is applied to extract the degradation feature by segmenting the voltage measurement and improves the prediction performance on both accuracy and computation speed when comparing with other prognostics methods.
12 Jan 2022
TL;DR: In this article , the assembly of nanoplatelets into superlattices to harness the particularly efficient energy transfer between them, and discuss different approaches that allow for directional control and positioning in large scale assemblies.
Abstract: Abstract Semi-conducting nanoplatelets are two-dimensional nanoparticles whose thickness is in the nanometer range and controlled at the atomic level. They have come up as a new category of nanomaterial with promising optical properties due to the efficient confinement of the exciton in the thickness direction. In this perspective, we first describe the various conformations of these 2D nanoparticles which display a variety of bent and curved geometries and present experimental evidences linking their curvature to the ligand-induced surface stress. We then focus on the assembly of nanoplatelets into superlattices to harness the particularly efficient energy transfer between them, and discuss different approaches that allow for directional control and positioning in large scale assemblies. We emphasize on the fundamental aspects of the assembly at the colloidal scale in which ligand-induced forces and kinetic effects play a dominant role. Finally, we highlight the collective properties that can be studied when a fine control over the assembly of nanoplatelets is achieved.
TL;DR: In this article, a crystal plasticity-based constitutive model is developed to describe the thermomechanical behavior of pseudoelastic NiTi single crystal, which includes all inelastic mechanisms influencing the fatigue behavior of NiTi SMAs in a finite strain framework.
TL;DR: In this paper, the modulation of charge transport induced by structural change of polyporphine and its implication on ammonia sensing properties was investigated. And the authors reported fabrication of novel poly porphine/phthalocyanine heterostructures and investigated the modulation effect on ammonium sensing properties.
TL;DR: This paper investigates gradual semantics dealing with weighted graphs, a family of graphs where each argument has an initial weight and may be attacked by other arguments, and proposes three novel semantics that are very efficient in that they compute the strengths of arguments in less than 20 iterations and in a very short time.
TL;DR: In this article, a hybrid prognostics approach is proposed to estimate the remaining useful life (RUL) of fuel cells (FCs) as early and accurately as possible by using a symbolic-based long short-term memory networks (LSTM) to predict the health indicator degradation trend and estimate the RUL.
TL;DR: In this paper, the carcinogenic and non-carcinogenic health risks related to non-methane volatile organic compounds (NMVOCs) and elements, dioxins, furans and polycyclic aromatic hydrocarbons in PM2.5 samples collected during a one-year field campaign in two urban industrial areas in the East Mediterranean region.
TL;DR: The origin of SARS-CoV-2 is still the subject of a controversial debate as discussed by the authors, where the natural origin theory is confronted to the laboratory leak theory, which is composite and comprises contradictory theories, one being the leak of a naturally occurring virus and the other the leak from a genetically engineered virus.
TL;DR: In this article, the central composite rotatable design (CCD) of response surface methodology (RSM) was used to optimize aluminum dispersed bamboo activated carbon preparation and the independent variables selected for optimization are activating agent (AlCl3) concentration (mol/L), activation temperature (°C), and activation time (min.).
TL;DR: In this paper , the authors proposed a semi-supervised data-driven approach based on Convolutional Neural Networks (CNN) for intrusion detection in industrial control systems (ICS).
TL;DR: In this paper, it was shown that the side product, H2O2, which is known to damage FeNC catalysts, is suppressed by the presence of Pt and the formation of reactive oxygen species is additionally inhibited.
TL;DR: In this article, a CH-GE-coated nanoliposomes (NLs) with L. rhamnosus had mean sizes in the range of 134.8-495.8 nm.
TL;DR: The results suggest that proper machine learning approaches to fluid flow data can lead to effective reconstruction models that can be used for the rapid estimation of complex flows.
TL;DR: In this article, a new type of stabilizers, based on bis-hydrophilic, thermoresponsive microgels, incorporating in the same structure poly(N-isopropylacrylamide) (pNIPAM) chains having an affinity for the PEO phase and dextran moieties, were presented.
TL;DR: In this article, the authors carried out a techno-economic assessment of biomethane production and estimation of its production costs via the integration of landfill biogas to methanation process.
TL;DR: An age-structured model accounting for the chronological age of humans and mosquito population, the time since humans and mosquitoes are infected and humans waning immunity is formulated, which highlights the effect of above structural variables on key important epidemiological traits of the human-vector association.
Abstract: Malaria is one of the most common mosquito-borne diseases widespread in tropical and subtropical regions, causing thousands of deaths every year in the world. Few models considering a multiple structure model formulation including (i) the chronological age of human and mosquito populations, (ii) the time since they are infected, and (iii) humans waning immunity (i.e. the progressive loss of protective antibodies after recovery) have been developed. In this paper we formulate an age-structured model containing three structural variables. Using the integrated semigroups theory, we first handle the well-posedness of the model proposed. We also investigate the existence of steady-states. A disease-free equilibrium always exists while the existence of endemic equilibria is discussed. We derive the basic reproduction number R 0 which expression highlights the effect of the above structural variables on key important epidemiological traits of the human-vector association such as vectorial capacity (i.e., vector daily reproduction rate), humans transmission probability, and survival rate. The expression of R 0 obtained here generalizes the classical formula of the basic reproduction number. Next, we derive a necessary and sufficient condition that implies the bifurcation of an endemic equilibrium. In the specific case where the age-structure of the human population is neglected, we show that a bifurcation, either backward of forward, may occur at R 0 = 1 leading to the existence, or not, of multiple endemic equilibrium when 0 ≪ R 0 1 . Finally, the latter theoretical results are enlightened by numerical simulations.