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Статті в журналах з теми "Valeurs échantillonnées"
Neppel, L., M. Desbordes, and J. M. Masson. "Influence de l'évolution dans l'espace et le temps d'un réseau de pluviomètres sur l'observation des surfaces de pluie en fonction de leur aire." Revue des sciences de l'eau 11, no. 1 (April 12, 2005): 43–60. http://dx.doi.org/10.7202/705296ar.
Повний текст джерелаTraoré, Bakari, Guiguigbaza-Kossigan Dayo, Martin Bienvenu Somda, Ollo Chérubin Hien, and Adrien Marie Gaston Belem. "Étude moléculaire de la diversité génétique des populations du lapin domestique (<i>Oryctolagus cuniculus</i>) au Burkina Faso à l’aide de marqueurs microsatellites." International Journal of Biological and Chemical Sciences 18, no. 6 (February 27, 2025): 2372–87. https://doi.org/10.4314/ijbcs.v18i6.23.
Повний текст джерелаTogouet, S. H. Zébazé, T. Njiné, N. Kemka, M. Nola, S. Foto Menbohan, D. Niyitegeka, P. Ngassam, and C. Boutin. "Composition et distribution spatio-temporelle des protozoaires ciliés dans un petit lac hypereutrophe du Cameroun (Afrique centrale)." Revue des sciences de l'eau 19, no. 3 (September 13, 2006): 151–62. http://dx.doi.org/10.7202/013535ar.
Повний текст джерелаSouleymane, Issa Malam Salmanou, Maman Sani Abdou Babaye, Illias Alhassane, and Ousmane Boureima. "Caractérisations hydrogéochimiques et qualités des eaux de la nappe phréatique du haut bassin versant de la Korama, commune de Droum /région de Zinder (Niger /Afrique de l’Ouest)." International Journal of Biological and Chemical Sciences 14, no. 5 (September 14, 2020): 1862–77. http://dx.doi.org/10.4314/ijbcs.v14i5.29.
Повний текст джерелаOuédraogo, Issaka, Blandine Marie Ivette Nacoulma, Oumarou Ouédraogo, Karen Hahn, and Adjima Thiombiano. "Productivité et valeur économique des calices de Bombax costatum Pellegr. & Vuillet en zone soudanienne du Burkina Faso." BOIS & FORETS DES TROPIQUES 319, no. 319 (January 1, 2014): 31. http://dx.doi.org/10.19182/bft2014.319.a20550.
Повний текст джерелаMion, L., E. Herrscher, J. Blondiaux, E. Binet, and G. Andre. "Comportements alimentaires en Gaule du Nord : étude isotopique du site de l'Îlot de la Boucherie (iiie–ve siècles apr. J.-C.) à Amiens." Bulletins et Mémoires de la Société d'Anthropologie de Paris 28, no. 3-4 (September 26, 2016): 155–75. http://dx.doi.org/10.1007/s13219-016-0164-7.
Повний текст джерелаNaminata, KONÉ, N’DA Amalan Sylvie, BOGUHÉ Gnonléba Franck dit Hervis, and BERTÉ Siaka. "Relation longueur-masse et paramètres de population de Synodontis bastiani Daget, 1948 (Mochokidae) dans le fleuve Bandama en aval du barrage de Taabo (Côte d’Ivoire)." Journal of Animal and Plant Sciences 51, no. 3 (March 31, 2022): 9284–96. http://dx.doi.org/10.35759/janmplsci.v51-3.2.
Повний текст джерелаDiawara, Mamady, Kahirou Diakite, Sidi Mohamed Tounkara, Mah Fane, Saloum Diagouraga, and Yéhia Yoro Dicko. "Qualité de l’huile de coton des petites unités de production au Mali." International Journal of Biological and Chemical Sciences 16, no. 1 (June 8, 2022): 263–71. http://dx.doi.org/10.4314/ijbcs.v16i1.22.
Повний текст джерелаDORE, Soua, Youssouf CONDE, Boubacar Cissoko, and Ansoumane SAKOUVOGUI. "Evaluation des Caractéristiques Biophysiques des Ressources Ligneuses du Mont Gangan dans la Préfecture de Kindia, Guinée." International Journal of Progressive Sciences and Technologies 25, no. 1 (March 2, 2021): 401. http://dx.doi.org/10.52155/ijpsat.v25.1.2767.
Повний текст джерелаTankoano, Abel, Namwin Siourime Somda, Christine Kere/Kando, Amadou Rouamba, Ouo Charlotte Coulibaly, Donatien Kabore, Aly Savadogo, and Hagretou Sawadaogo/Lingani. "Qualité biochimique, microbiologique et typologie des vinaigres utilisés en alimentation de rue à Bobo-Dioulasso, Burkina Faso." International Journal of Biological and Chemical Sciences 18, no. 3 (September 4, 2024): 991–1006. http://dx.doi.org/10.4314/ijbcs.v18i3.22.
Повний текст джерелаДисертації з теми "Valeurs échantillonnées"
Presvôts, Corentin. "Multiple-Model Coding Scheme for Electrical Signal Compression." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG007.
Повний текст джерелаThe integration of renewable energy sources into the electrical grid introduces more complex dynamics, requiring more efficient and low-latency control. This control demands the transmission of large volumes of data from substations to higher-level control centers. To address network bandwidth constraints, it is essential to develop efficient compression techniques tailored to the specific characteristics of electrical signals. Currently, Phasor Measurement Units (PMUs) are the most commonly used devices for acquiring and compressing these signals. However, PMU cannot accurately represent fast transients. In the first part of this thesis, a compression method using neural networks, based on Variational Autoencoders (VAEs), is described. Initially developed for image compression, this method is adapted in this work to the compression of sampled electrical signals. The principle relies on optimizing the transformation step by minimizing a Rate-Distortion (RD) trade-off over a training set of electrical signals. This method enables the optimization of the entire compression pipeline by accounting for quantization and entropy coding, thus providing better average performance compared to classical non-trainable methods, such as the Discrete Cosine Transform (DCT) or the discrete wavelet transform Discrete Wavelet Transform (DWT). The second part describes a proposed multi-model coding scheme for the compression of sampled electrical signals. To reduce latency, the Multiple Model Compression (MMC) approach operates on windows of approximately one electrical period (on the order of glspl{pmu} latency), thus containing a limited number of samples. In the first compression stage, several parametric signal models (sinusoidal, polynomial, and predictive models) are compared to obtain a coarse representation of the electrical signal. In the second stage, several transform coding techniques are used to compress the reconstruction residual from the first stage. The transformations used include the DCT, DWT, and the previously mentioned VAEs. The model parameters are quantized, and the bit budget allocation between the two stages is optimized based on a target rate. However, imposing a rate constraint introduces variations in the reconstruction quality of the sampled signals, which may not meet the strict quality requirements imposed by end users. The third part of this thesis aims to determine the minimum bit budget required to satisfy a maximum distortion constraint. The additional degree of freedom provided by the choice of the total bit budget increases the complexity of the MMC approach compared to its fixed-rate variant and may be incompatible with real-time constraints. Two distinct methods are proposed for model selection and bit allocation between the two stages. The first method relies on an exhaustive search to determine the number of bits to allocate to both compression stages. The second method uses a golden-section search. The computational cost of these two approaches is further reduced by a preliminary estimation of the best model and the optimal bit allocation between the two stages to meet the distortion constraint. This estimation is based on RD models
Kazhuthuveettil, Sreedharan Jithin. "Échantillonnage et inférence dans réseaux complexes." Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4121/document.
Повний текст джерелаThe recent emergence of large networks, mainly due to the rise of online social networks, brought out the difficulty to gather a complete picture of a network and it prompted the development of new distributed techniques. In this thesis, we design and analyze algorithms based on random walks and diffusion for sampling, estimation and inference of the network functions, and for approximating the spectrum of graph matrices. The thesis starts with the classical problem of finding the dominant eigenvalues and the eigenvectors of symmetric graph matrices like Laplacian of undirected graphs. Using the fact that the eigenspectrum is associated with a Schrödinger-type differential equation, we develop scalable techniques with diffusion over the graph and with gossiping algorithms. They are also adaptable to a simple algorithm based on quantum computing. Next, we consider sampling and estimation of network functions (sum and average) using random walks on graph. In order to avoid the burn-in time of random walks, with the idea of regeneration at its revisits to a fixed node, we develop an estimator for the aggregate function which is non-asymptotically unbiased and derive an approximation to its Bayesian posterior. An estimator based on reinforcement learning is also developed making use of regeneration. The final part of the thesis deals with the use of extreme value theory to make inference from the stationary samples of the random walks. Extremal events such as first hitting time of a large degree node, order statistics and mean cluster size are well captured in the parameter “extremal index”. We theoretically study and estimate extremal index of different random walk sampling techniques