Auswahl der wissenschaftlichen Literatur zum Thema „Prédiction de vente“
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Zeitschriftenartikel zum Thema "Prédiction de vente"
Kazet, Myrin, Ruben Mouangue, Alexis Kuitche, Jean Marie Ndjaka und Sylvar Takam. „Modélisation et simulation numérique des données du vent en vue d’une prédiction de l’énergie électrique d’origine éolienne: cas d’un site de la ville de Ngaoundéré au Cameroun“. Journal of Renewable Energies 16, Nr. 3 (22.10.2023): 527–38. http://dx.doi.org/10.54966/jreen.v16i3.397.
Der volle Inhalt der QuelleHARINAIVO, A., H. HAUDUC und I. TAKACS. „Anticiper l’impact de la météo sur l’influent des stations d’épuration grâce à l’intelligence artificielle“. Techniques Sciences Méthodes 3 (20.03.2023): 33–42. http://dx.doi.org/10.36904/202303033.
Der volle Inhalt der QuelleBESSOUH, Nadira, und Abderrezak BENHABIB. „Les déterminants d’un achat impulsif“. Dirassat Journal Economic Issue 3, Nr. 1 (01.06.2012): 23–41. http://dx.doi.org/10.34118/djei.v3i1.468.
Der volle Inhalt der QuelleNsouandélé, Jean Luc, Dieudonné Kidmo Kaoga, Stephane Mbang Djetouda und Noël Djongyang. „Estimation statistique des données du vent à partir de la distribution de Weibull en vue d’une prédiction de la production de l’énergie électrique d’origine éolienne sur le Mont Tinguelin à Garoua dans le Nord Cameroun“. Journal of Renewable Energies 19, Nr. 2 (09.01.2024): 291–301. http://dx.doi.org/10.54966/jreen.v19i2.568.
Der volle Inhalt der QuelleJohnson, Jo-Ann, Kim MacDonald, Gwen Clarke und Amanda Skoll. „N o 343-Prédiction du génotype RHD fœtal par test prénatal non invasif de routine au Canada : l’heure est venue“. Journal of Obstetrics and Gynaecology Canada 39, Nr. 5 (Mai 2017): 374–81. http://dx.doi.org/10.1016/j.jogc.2017.03.110.
Der volle Inhalt der QuellePatte, Karen A., Adam G. Cole, Wei Qian, Megan Magier, Michelle Vine und Scott T. Leatherdale. „Les règlements interdisant aux élèves de quitter le périmètre scolaire influencent-ils les comportements alimentaires des adolescents?“ Promotion de la santé et prévention des maladies chroniques au Canada 41, Nr. 3 (März 2021): 79–92. http://dx.doi.org/10.24095/hpcdp.41.3.02f.
Der volle Inhalt der QuelleLunardo, Renaud, Laurent Bompar und Camille Saintives. „Briser la glace avec de l’humour : La propriété soulageante de l’humour et ses effets sur la performance des vendeurs“. Recherche et Applications en Marketing (French Edition), 10.12.2020, 076737012097351. http://dx.doi.org/10.1177/0767370120973516.
Der volle Inhalt der QuelleFaida, Hassan, Janah Saadi, Mohammed Khaider, Semma El Alami und Mohamed Monkade. „Etude et analyse des données du vent en vue de dimensionner un système de production d’énergie éolienne Cas d’un site au nord du Maroc“. Journal of Renewable Energies 13, Nr. 3 (25.10.2023). http://dx.doi.org/10.54966/jreen.v13i3.214.
Der volle Inhalt der QuelleAlbertine, Kouakou Ahou, Osséi Kouakou und Tra bi Tra Isidore. „Niveau de Recherche de Sensations et Comportement d’Alcoolisation Chez des Adolescents en Milieu Scolaire a Abidjan“. European Scientific Journal ESJ 12 (28.12.2022). http://dx.doi.org/10.19044/esipreprint.12.2022.p546.
Der volle Inhalt der QuelleMogos, Aman Samson, Md Salauddin, Xiaodong Liang und Chi Yung Chung. „An Effective Very Short-Term Wind Speed Prediction Approach Using Multiple Regression Models Une approche efficace de prédiction de la vitesse du vent à très court terme utilisant des modèles de régression multiple“. IEEE Canadian Journal of Electrical and Computer Engineering, 2022, 1–12. http://dx.doi.org/10.1109/icjece.2022.3152524.
Der volle Inhalt der QuelleDissertationen zum Thema "Prédiction de vente"
Dimby, Solohaja Faniaha. „Détection d'outliers : modéllsation et prédiction : application aux données de véhicules d'occasion“. Thesis, Paris 1, 2015. http://www.theses.fr/2015PA010025/document.
Der volle Inhalt der QuelleAutobiz publishes information on the automotive sector. The subject of this the-sis is to give more tools for best understanding the used cars market by proposing modeling the price and the sale duration of vehicles. In our disposal we have a dataset consisted of used car advertisements automatically collected from the most popular website in France. Such data records often include outlying values. So, we need to start our analysis by considering outliers problem and we propose an outliers detector for univariate case for which we study asymptotic properties. Next, we develop a predicting model for used cars price. Although enumerable amount of works are stored in the literature we see that each of them lacks rigorous statistical foundations. We investigate the relationships between the price, the mileage, the age and others vehicle characteristics. More precisely we discuss how incorporate these variables in a model and compare different modeling approaches with the object to find the one best fitting the dataset and easy to implement. Expert’s opinions are minded at different stages of the model-building process. Next, we identify variables and how they affect the probability of a used vehicle’s sale from a list of explanatory variables related to price, mileage and age. In the sequel, we build a model allowing predicting the sale duration. Finally, we discuss about modeling sales of used cars by using the negative binomial distribution
Souply, Marc. „Un système d'aide à la décision pour les négoces de matériaux“. Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC204.
Der volle Inhalt der QuelleThis thesis describes the implementation of a decision support system for the material trade. It describes the industrial context in which this trade operates, and justifies the two key areas where significant improvements can be made: demand prediction and replenishment optimization. Existing solutions in these two areas are explored, and the applicability of recent Industry 4.0 methods is discussed. It appears that small and medium-sized industries have neither the need nor the means to deploy Big Data models. For these reasons, this work proposes processes that save computing power, blending well-known traditional methods with more recent concepts to circumscribe forecasts and replenishments around what really matters for the material trade: reliable results on key products, obtained within realistic operational timescales. For these reasons, the study relies mainly on experiments such as forecasting with automated seasonality extraction and upstream selection of the best predictive model from four: the ARIMAX model, the random forest, the LSTM and a moving average. Optimization, on the other hand, is accelerated by a sequence of resolution methods supported by early-stopping and warm-start, while taking into account the numerous constraints specific to this trading field. Four optimization methods are compared: a greedy algorithm, a quadratic solver, simulated annealing and a genetic algorithm
Kerhascoët, Hugo. „De la mesure du vent au pilotage automatique d'un voilier : modélisation, optimisation & application du traitement du signal prédictif“. Thesis, Lorient, 2017. http://www.theses.fr/2017LORIS433.
Der volle Inhalt der QuelleThis thesis is part of NKE Marine’s attempts to improve the quality of apparent and real wind measurementsprovided by its navigation unit. These improvements are expected to benefit both users and improve autopilot performance. The first part describes the specific context of wind measurement on a sailboat, and the inherent issues. This study identified two knotty scientific problems: on-board wind measurements recorded by the sensor (linked to its design and response model) and how the wind triangle is reconstructed. The first objective of this thesis is therefore to propose a new methodology for the design of the wind vane that can match the sensor’s profile with the boat’s characteristics and its route planning. Improvements to this aerial sensor make it possible, on the one hand, to divide the response time by two (via the optimization of the shape of the sensors) and, on the other hand, to provide a useful signal that is twelve times more sensitive (via the application of predictive signal processing techniques that take account of sensor dynamics). Next, previous work on the problem of reconstructing three-dimensional true wind is described in detail. This part begins with a presentation of the relevant standards and definitions of metrics, before examining some solutions that can take account of perturbations in apparent and true wind in the lower layer of the atmosphere. The following part examines current methods for reconstructing true wind. This analysis highlights the fact that these corrections are not applied in the correct frames. To overcome these problems, we propose a new approach to the reconstruction of the true wind, which implements the corrections described above. This manuscript ends with a presentation of the contribution to auto piloting. Specifically, it takes the form of a new concept, termed Super Mode, which can be overlaid onto classical modes of piloting. The aim is to improve safety in gusty conditions (Gust mode), and performance when surfing (Surf mode). The value of this innovation has been proven by competition victories; it has received an innovation award, and Surf mode is the subject of a patent application. The pilot is now able to glide like a human surfer. The final contribution to the autopilot concerns the integration of a new type of sensor: electronic telltales. Finally, this manuscript contributes to our overall understanding of the problems and nuances that must be taken into account when developing or using a navigation unit and an autopilot. The work highlights the close correlation between the various sensors and the data calculated by the navigation unit. Significant improvements to the accuracy of both elements can be obtained when the concept of predictive filtering is extended and appliedto the navigation unit as a whole
Vroman, Philippe. „Prédiction des séries temporelles en milieu incertain : application à la prévision de ventes dans la distribution textile“. Lille 1, 2000. http://www.theses.fr/2000LIL10207.
Der volle Inhalt der QuelleKariniotakis, Georges. „Contribution au développement d'un système de controle avancé pour les systèmes éolien-diesel autonomes“. Paris, ENMP, 1996. http://www.theses.fr/1996ENMP1153.
Der volle Inhalt der QuelleThe contribution of the thesis consists in the development of advanced models for the dynamic behaviour of a wind-diesel system as well as for the short-term prediction of the power output of a wind farm. In order to simulate the transient behaviour of an autonomous system, a generic model has been developed that incorporates models for all the power system components. A methodology has been developed for the robust identification of the unknown power system parameters. Following this development, the next step was to develop forecasting models based on recurrent high order neural networks and on fuzzy logic for the power output of a wind farm. The developed models on the wind power forecasting problem were found to outperform existing approaches in the literature. The consideration of the developed models in the control system contributes to improve the power system management and to increase wind power penetration while maintaining a high level of security in the network
Yvart, Walter. „Signatures moléculaires dans les vents de disque MHD des proto-étoiles de faible masse“. Phd thesis, Université Pierre et Marie Curie - Paris VI, 2013. http://tel.archives-ouvertes.fr/tel-00880647.
Der volle Inhalt der QuelleMiqueau, Valentin. „Fiabilité de la méthode de prédiction vibro-acoustique SEA dans un contexte d'évaluation subjective du confort acoustique automobile“. Electronic Thesis or Diss., Lyon, INSA, 2023. http://www.theses.fr/2023ISAL0102.
Der volle Inhalt der QuelleAs the cabins of new vehicles become increasingly silent, the sound quality and the acoustic comfort have become key arguments for car manufacturers to destinguish themselves from their competitors. Research on sound perception currently relies on an experimental approach involving juries listening to signals recorded on prototypes. To avoid the costs associated with these elaborate setups, a digital approach is proposed in the present work. The results of a model based on the SEA method (Statistical Energy Analysis), developed by Saint-Gobain Research Compiègne, would be used to generate the signals for subjective experiences. It is already used to predict the impact of glazing changes on the interior noise level of a vehicle exposed to environmental noise. However, its use to assess the automotive acoustic comfort brought about by these changes raises several questions, which we address in this thesis : — How should we generate audio signals from the predicted sound pressure level? — Can we use the obtained signals to evaluate acoustic comfort inside the car cabin with the same effectiveness as with recordings measured in the vehicle? Firstly, a signal generation process based on data obtained from the numerical model was proposed and then validated through a perceptual experiment. Next, two other subjective assessments by a panel of judges revealed a similar trend in the annoyance experienced, for several glazing configurations, regardless of the origin of the sounds (simulated or measured). They did, however, highlight a discrepancy in the assessments when tempered glazing was introduced into the vehicle configurations. The window seals, which were not included in the model, were suspected of being the cause of this variation. Subsequently, the experimental examination of the vibro-acoustic behavior of a flat glass installed in the window seals allowed us to observe a dissipation contribution from the seals. This resulted in an increase of the acoustic insulation of the glazing. As this insulation characterizes the glazing in the model, its sensitivity to the dissipation contribution of the seals had to be incorporated into our numerical approach. Finally, after analyzing the dissipation mechanisms for both the glazing and the seals, a numerical model based on the finite element method was implemented. It predicts the acoustic insulation of the glazing as it should be integrated into the SEA numerical model in order to take account of the effect of the joints at the boundaries of the glass sample. Given that the calibration of the model at mid-high frequencies is the result of an empirical parameter search process, it is essential to consider revising the model and search method in future work
Legrand, Karim. „Correction and Optimization of 4D aircraft trajectories by sharing wind and temperature information“. Thesis, Toulouse, INSA, 2019. http://www.theses.fr/2019ISAT0011/document.
Der volle Inhalt der QuelleThis thesis is related to air traffic management systems current changes. On the ground and in flight, trajectory calculation methods and available data differ. Wind and temperature are two ubiquitous parameters that are subject to and cause prediction bias. We propose a concept to limit this bias. Our "Wind and Temperature Networking" concept improves trajectory prediction, using wind and temperature information from neighboring aircraft. We detail the effects of temperature on the aircraft performances, allowing for temperature to be taken into account. The concept evaluation is done on 8000 flights. We discuss the calculation of optimal trajectories in the presence of predicted winds, to replace the current North Atlantic Tracks, and to provide optimized and robust groups of trajectories. The conclusion of this thesis presents other fields of wind sharing applications, and addresses the need for new telecommunications infrastructures and protocols
Poggi, Philippe. „INTEGRATION DES SYSTEMES ENERGETIQUES A SOURCES RENOUVELABLES DANS LES RESEAUX ELECTRIQUES INSULAIRES“. Habilitation à diriger des recherches, Université Pascal Paoli, 2007. http://tel.archives-ouvertes.fr/tel-00604868.
Der volle Inhalt der QuelleHuard, Malo. „Apprentissage et prévision séquentiels : bornes uniformes pour le regret linéaire et séries temporelles hiérarchiques“. Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASM009.
Der volle Inhalt der QuelleThis work presents some theoretical and practical contributions to the prediction of arbitrary sequences. In this domain, forecasting takes place sequentially at the same time as learning. At each step, the model is fitted on the past data in order to predict the next observation. The goal of this model is to make the best possible predictions, i.e. those that minimize their deviations from the observations, which are made a posteriori. Sequential learning methods are evaluated by their regret, which measures how close strategies are to the best possible, known only after all the data is available. In this thesis, we extend the set of weights vectors a method is compared to when doing sequential linear regression. We have adapted an existing algorithm by improving its theoretical guarantees allowing it to be compared to any constant linear combination without restriction on the norm of its mixing weights. A second work consisted in extending sequential forecasting methods when forcasted data is organized in a hierarchy. We tested these hierarchical methods on two practical applications, household power consumption prediction and demand forecasts in e-commerce