Results 51 to 60 of about 56,454 (282)

Multi-Objective Gray-Wolf Optimization for Attribute Reduction

Procedia Computer Science, 2015
AbstractFeature sets are always dependent, redundant and noisy in almost all application domains. These problems in The data always declined the performance of any given classifier as it make it difficult for the training phase to converge effectively and it affect also the running time for classification at operation and training time.
Emary, E., Yamany, Waleed, Hassanien, Aboul Ella, Snasel, Vaclav   +3 more
openaire   +1 more source

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Advanced Science, EarlyView.
Stochastic nanoscale physical cues induce glioblastoma (GBM)‐associated transcriptional traits in naïve astrocytes leading to spontaneous formation of spheroids. Cells within spheroids express activated‐MMP2 and a differential gene expression pattern involving P53 and NOTCH3, providing evidence for a role for changes in brain topography, as observed in
Laurent Starck, Tobias Butelmann, Sabrina Hogan, Melika Sarem, Bernd Heimrich, Ritwick Sawarkar, Marie‐Françoise Ritz, Gregor Hutter, V. Prasad Shastri   +8 more
wiley   +1 more source

Implementación del algoritmo meta-heurístico Gray Wolf Optimization para la optimización de funciones objetivo estándar

Serie Científica de la Universidad de las Ciencias Informáticas, 2020
En la actualidad surgen implementaciones de algoritmos metaheurísticos para dar soluciones a problemas reales en la vida cotidiana, debido a su capacidad de identificar regiones prometedoras e intensificar la búsqueda en las mismas.
Randy Alonso Benítez, Jairo Rojas Delgado   +1 more
doaj  

Circumstellar Structure around Evolved Stars in the Cygnus-X Star Formation Region [PDF]

, 2010
We present observations of newly discovered 24 micron circumstellar structures detected with the Multiband Imaging Photometer for Spitzer (MIPS) around three evolved stars in the Cygnus-X star forming region. One of the objects, BD+43 3710, has a bipolar
Aoki, Argelander, Bernard-Salas, Billot, Cutri, Dolidze, Donald R. Mizuno, Egan, Egan, Eric Keto, Fazio, Frederique Motte, Giovanni G. Fazio, Gutermuth, Gvaramadze, Herbig, Higgs, Hora, Houck, Howard A. Smith, Høg, Jiménez-Esteban, Joseph Adams, Joseph L. Hora, Kathleen E. Kraemer, Kraemer, Kraemer, Li, Lori E. Allen, Michael P. Egan, Mizuno, Morris, Morris, Morris, Nicola Schneider, Rieke, Rizzo, Robert Gutermuth, Robert Simon, S. Thomas Megeath, Sean J. Carey, Skrutskie, Sloan, Stephan D. Price, Sylvain Bontemps, Voors, Waters, Werner, Xavier P. Koenig, Zacharias   +49 more
core   +4 more sources

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

Advanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang, Xuedong Wang, Mengyao Wang, Qian Zhou, Lusheng Wang, Shuai Cheng Li   +5 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm

Scientific Reports
High precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm (IGWO-OKF) is proposed in this paper.
Zheming Pang, Yajun Wang, Fang Yang
doaj   +1 more source

PRACTICAL AND THEORETICAL ASPECTS OF MATHEMATICAL MODELING OF THE OPTIMIZATION PROCESS OF MANAGING MULTIGROUP BEHAVIOR OF AGENTS IN DISTRIBUTED SYSTEMS BASED ON THE GWO ALGORITHM

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
This work focused on the applied aspects and features of the gray wolf pack optimizer or the GWO algorithm in the context of application in multi-agent distributed systems.
Bohdan Skrypka, Dmytro Yelchaninov
doaj   +1 more source

A Transformer Fault Diagnosis Method Based on Parameters Optimization of Hybrid Kernel Extreme Learning Machine

IEEE Access, 2021
Dissolved gas analysis (DGA) is a widely used method for diagnosing internal transformer defects. The traditional single intelligent diagnostic method cannot efficiently process large amounts of incomplete defect information with DGA, which affects the ...
Jifang Li, Chen Hai, Zhen Feng, Genxu Li
doaj   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Annals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt, Dana Leichter, Yann Cobigo, Amy Wolf, John Kornak, Annie Clark, Lucy L. Russell, Arabella Bouzigues, David M. Cash, Martina Bocchetta, Molly Olzinski, Brian Appleby, Ece Bayram, Barbara Borroni, Andrea Bozoki, Chris R. Butler, David Clark, Rhian S. Convery, R. Ryan Darby, Alexandre de Mendonça, Bradford Dickerson, Kimiko Domoto‐Reilly, Simon Ducharme, Eve Ferry‐Bolder, Elizabeth Finger, Phoebe H. Foster, Douglas R. Galasko, Daniela Galimberti, Alexander Gerhard, Nupur Ghoshal, Caroline Graff, Neill Graff‐Radford, Ian M. Grant, Chadwick M. Hales, Lawrence S. Honig, Ging‐Yuek Hsiung, Edward D. Huey, David Irwin, Lize C. Jiskoot, Walter Kremers, Justin Y. Kwan, Robert Laforce, Isabelle Le Ber, Gabriel C. Léger, Johannes Levin, Irene Litvan, Ian R. Mackenzie, Mario Masellis, Mario F. Mendez, Fermin Moreno, Chiadi Onyike, Markus Otto, Belen Pascual, Peter Pressman, Rosa Rademakers, Eliana Marisa Ramos, Aaron Ritter, Erik D. Roberson, James B. Rowe, Raquel Sanchez‐Valle, Isabel Santana, Harro Seelaar, Allison Snyder, Sandro Sorbi, Matthis Synofzik, Maria Carmela Tartaglia, Pietro Tiraboschi, John C. van Swieten, Marijne Vandebergh, Rik Vandenberghe, Hilary W. Heuer, Bruce L. Miller, William W. Seeley, Maria Luisa Gorno‐Tempini, Joel H. Kramer, Leah Forsberg, Kejal Kantarci, Bradley F. Boeve, Adam L. Boxer, Jonathan D. Rohrer, Howard J. Rosen, Adam M. Staffaroni, FTD Prevention Initiative (FPI) investigators   +82 more
wiley   +1 more source