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Mostrando 321 - 340 Resultados de 1,248 Para Buscar '"Elm"', tiempo de consulta: 0.18s Limitar resultados
  1. 321
    por Reurink, Janine, Weisschuh, Nicole, Garanto, Alejandro, Dockery, Adrian, van den Born, L. Ingeborgh, Fajardy, Isabelle, Haer-Wigman, Lonneke, Kohl, Susanne, Wissinger, Bernd, Farrar, G. Jane, Ben-Yosef, Tamar, Pfiffner, Fatma Kivrak, Berger, Wolfgang, Weener, Marianna E., Dudakova, Lubica, Liskova, Petra, Sharon, Dror, Salameh, Manar, Offenheim, Ashley, Heon, Elise, Girotto, Giorgia, Gasparini, Paolo, Morgan, Anna, Bergen, Arthur A., ten Brink, Jacoline B., Klaver, Caroline C.W., Tranebjærg, Lisbeth, Rendtorff, Nanna D., Vermeer, Sascha, Smits, Jeroen J., Pennings, Ronald J.E., Aben, Marco, Oostrik, Jaap, Astuti, Galuh D.N., Corominas Galbany, Jordi, Kroes, Hester Y., Phan, Milan, van Zelst-Stams, Wendy A.G., Thiadens, Alberta A.H.J., Verheij, Joke B.G.M., van Schooneveld, Mary J., de Bruijn, Suzanne E., Li, Catherina H.Z., Hoyng, Carel B., Gilissen, Christian, Vissers, Lisenka E.L.M., Cremers, Frans P.M., Kremer, Hannie, van Wijk, Erwin, Roosing, Susanne
    Publicado 2023
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    Whole genome sequencing for USH2A-associated disease reveals several pathogenic deep-intronic variants that are amenable to splice correction
  2. 322
    por Rots, Dmitrijs, Chater-Diehl, Eric, Dingemans, Alexander J.M., Goodman, Sarah J., Siu, Michelle T., Cytrynbaum, Cheryl, Choufani, Sanaa, Hoang, Ny, Walker, Susan, Awamleh, Zain, Charkow, Joshua, Meyn, Stephen, Pfundt, Rolph, Rinne, Tuula, Gardeitchik, Thatjana, de Vries, Bert B.A., Deden, A. Chantal, Leenders, Erika, Kwint, Michael, Stumpel, Constance T.R.M., Stevens, Servi J.C., Vermeulen, Jeroen R., van Harssel, Jeske V.T., Bosch, Danielle G.M., van Gassen, Koen L.I., van Binsbergen, Ellen, de Geus, Christa M., Brackel, Hein, Hempel, Maja, Lessel, Davor, Denecke, Jonas, Slavotinek, Anne, Strober, Jonathan, Crunk, Amy, Folk, Leandra, Wentzensen, Ingrid M., Yang, Hui, Zou, Fanggeng, Millan, Francisca, Person, Richard, Xie, Yili, Liu, Shuxi, Ousager, Lilian B., Larsen, Martin, Schultz-Rogers, Laura, Morava, Eva, Klee, Eric W., Berry, Ian R., Campbell, Jennifer, Lindstrom, Kristin, Pruniski, Brianna, Neumeyer, Ann M., Radley, Jessica A., Phornphutkul, Chanika, Schmidt, Berkley, Wilson, William G., Õunap, Katrin, Reinson, Karit, Pajusalu, Sander, van Haeringen, Arie, Ruivenkamp, Claudia, Cuperus, Roos, Santos-Simarro, Fernando, Palomares-Bralo, María, Pacio-Míguez, Marta, Ritter, Alyssa, Bhoj, Elizabeth, Tønne, Elin, Tveten, Kristian, Cappuccio, Gerarda, Brunetti-Pierri, Nicola, Rowe, Leah, Bunn, Jason, Saenz, Margarita, Platzer, Konrad, Mertens, Mareike, Caluseriu, Oana, Nowaczyk, Małgorzata J.M., Cohn, Ronald D., Kannu, Peter, Alkhunaizi, Ebba, Chitayat, David, Scherer, Stephen W., Brunner, Han G., Vissers, Lisenka E.L.M., Kleefstra, Tjitske, Koolen, David A., Weksberg, Rosanna
    Publicado 2021
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    Truncating SRCAP variants outside the Floating-Harbor syndrome locus cause a distinct neurodevelopmental disorder with a specific DNA methylation signature
  3. 323
    “…Elm club diógenes…”
    Libro
    Goethe: una biografía /
  4. 324
    “…Levels of ELM were not significantly increased in these patients and no correlation was observed between ELM-2 and ELM. …”
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    Acute Myocardial Infarction and Pulmonary Diseases Result in Two Different Degradation Profiles of Elastin as Quantified by Two Novel ELISAs
  5. 325
    “…To identify the practically suppressive effects on postprandial blood glucose and insulin, some confections with added ELM were prepared as follows: Mizu-yokan, 30 g of sucrose with the addition of 1.5 or 3.0 g ELM; Daifuku-mochi, 9.0 g of starch in addition to 30 g of sucrose and 1.5 or 3.0 g ELM; Chiffon-cake, 24 g of sucrose, starch, and 3.0 or 6.0 g of ELM, and were ingested by each subject. …”
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    Suppressive response of confections containing the extractive from leaves of Morus Alba on postprandial blood glucose and insulin in healthy human subjects
  6. 326
    “…We propose an Advanced ELM Ensemble (AELME) for classification, which includes Regularized-ELM, L(2)-norm-optimized ELM (ELML2), and Kernel-ELM. …”
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    Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines
  7. 327
    “…ELM significantly increased the activities of lactate dehydrogenase (LDH) and glutamic-oxaloacetic transaminase (GOT) involved in the metabolic process in liver tissue, and GOT activity reached the highest when ELM was added at 9 g/kg, and LDH activity reached the highest when ELM was added at 15 g/kg (P < 0.05). …”
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    Effects of Mulberry Leaf Extract on the Liver Function of Juvenile Spotted Sea Bass (Lateolabrax maculatus)
  8. 328
    “…With regard to incidence, disruption of the IS/OS (IS/OS-D), disruption of the ELM (ELM-D) and ELM length differed significantly between the three groups, particularly ELM-D. …”
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    Predictive Findings of Visual Outcome in Spectral Domain Optical Coherence Tomography after Ranibizumab Treatment in Age-related Macular Degeneration
  9. 329
    “…Extreme learning machine (ELM) as a type of feedforward neural network has been widely used to obtain beneficial insights from various disciplines and real-world applications. …”
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    Online Artículo Texto
    A combination of ridge and Liu regressions for extreme learning machine
  10. 330
    “…We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM), using the extreme learning machine (ELM). We used extensive metrics to evaluate ELM and existing algorithms. …”
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    Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine
  11. 331
    “…Here, the designed model CJaya-ELM, has been compared with basic ELM, Teaching Learning Based Optimization algorithm (TLBO) optimized ELM (TLBO-ELM), Multi-Layer Perceptron (MLP), Jaya algorithm optimized MLP (Jaya-MLP), TLBO algorithm optimized MLP (TLBO-MLP) and CJaya algorithm optimized MLP models. …”
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    Diagnosis of diabetes in pregnant woman using a Chaotic-Jaya hybridized extreme learning machine model
  12. 332
    “…The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%.…”
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    Spoken language identification based on the enhanced self-adjusting extreme learning machine approach
  13. 333
    Publicado 1973
    Tabla de Contenidos:
    Partituras Libro
    Classic piano rags : complete original for 81 rags
  14. 334
    “…The dietary treatments were as follows: T1 = 0 g ELM/hd/d; T2 = 40 g ELM/hd/d; T3 = 80 g ELM/hd/d; T4 = 120 g ELM/hd/d, respectively. …”
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    Effects of Supplementation of Eucalyptus (E. Camaldulensis) Leaf Meal on Feed Intake and Rumen Fermentation Efficiency in Swamp Buffaloes
  15. 335
    “…BACKGROUND: Maternal early-life maltreatment (ELM) increases the risk of subsequent child maltreatment, but the underlying mechanisms of these intergenerational effects remain largely unknown. …”
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    The mediating role of attachment and anger: exploring the impact of maternal early-life maltreatment on child abuse potential
  16. 336
    “…Extreme Learning Machine (ELM) has been widely used for HSI analysis. However, the classical ELM is difficult to use for sparse feature leaning due to its randomly generated hidden layer. …”
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    Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine
  17. 337
    por Avci, Derya, Dogantekin, Akif
    Publicado 2016
    “…This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by the ELM learning method. …”
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    An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine
  18. 338
    “…As a new machine learning approach, the extreme learning machine (ELM) has received much attention due to its good performance. …”
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    Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images
  19. 339
    “…In this study, we extend our previous work, that is, Dissimilar ELM (D-ELM), by introducing misclassification costs into the classifier. …”
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    Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification
  20. 340
    por Turkoglu, M.
    Publicado 2021
    “…Lastly, the final class label is determined using the majority voting method for prediction of the results obtained from each architecture based on ReLU-ELM, PReLU-ELM, and TanhReLU-ELM. RESULTS: In experimental works, a public dataset containing COVID-19 and Non-COVID-19 classes was used to verify the validity of the MKs-ELM-DNN model proposed. …”
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    COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network
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