Prediction of Blasting Fragmentation Based on GWO-ELM by Zhengzhao Jia, Ziling Song, Junfu Fan, Juyu Jiang

“…Aiming at the complex nonlinear relationship among factors affecting blasting fragmentation, the input weight and hidden layer threshold of ELM (extreme learning machine) were optimized by gray wolf optimizer (GWO) and the prediction model of GWO-ELM blasting fragmentation was established. …”
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Cement Transport Vehicle Routing with a Hybrid Sine Cosine Optimization Algorithm by Vu Hong Son Pham, Van Nam Nguyen

“…The sine cosine algorithm is hybridized with the grey wolf optimizer, which is used in combination with the methods of tournament selection, opposition learning, and the mutation and crossover method to build the optimal routing plan for the means of transporting cement. …”
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Lens Extrusion from Laminin Alpha 1 Mutant Zebrafish by Mallika Pathania, Elena V. Semina, Melinda K. Duncan

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Impact of Participatory Community Planning on Publicity in Public Space Renewal Based on Machine Learning Algorithm Based on Child-friendly Concept by Yang Dai, Jiayi Li

“…And the improved gray wolf optimization algorithm is combined with it for the shortcomings of the technology’s algorithm accuracy and other performance, which is not good enough. …”
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Gender inequality in the Nordic film industry: Exploring above-the-line positions in film production by Loist Skadi, Ehrich Martha Emilie, Radziwill Sophie, Prommer Elizabeth

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Dunja Jelenković: Festival jugoslovenskog dokumentarnog i kratkometražnog filma, 1954–2004. Od jugoslovenskog socijalizma do srpskog nacionalizma by Miljković Aleksandra

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A Comparison of Cholesterol Uptake and Storage in Inflammatory and Noninflammatory Breast Cancer Cells by Breonna J. Martin, Kenneth L. van Golen

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Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence by Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing

“…This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…This algorithm includes the introduction of a mutation operator in the gray wolf algorithm to improve the search ability of the algorithm, and, at the same time, we introduce the PSO algorithm idea. …”
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Common Florida Spiders by J.L. Castner

“…It covers various species, including jumping spiders, crab spiders, golden silk spiders, spiny orb-weavers, black and yellow argiope spiders, green lynx spiders, wolf spiders, and long-jawed orb-weavers. Each section highlights unique features, such as the jumping spiders’ eye arrangement and hunting methods, the crab spiders’ camouflage, and the golden silk spiders’ large webs. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…These include the Angle of Attack Optimization (AOA), Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Moth Flame Optimization (MFO), and Multi-Verse Optimizer (MVO). …”
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Migración, economía campesina y ciclo de desarrollo doméstico. Discusiones y estudios recientes by Patricia Arias

“…Las feministas, y más tarde los estudios con la perspectiva de género, criticaron la visión de que las familias rurales constituían unidades de producción-consumo donde las decisiones correspondían a un modelo de estrategias familiares de sobrevivencia y reproducción (Hondagneu-Sotelo, 2007; Wolf, 1990). Ese modelo privilegiaba la homo- geneidad, la colectividad, la solidaridad y el consenso, es decir, suponía que en los hogares no había conflictos ni tensiones a la hora de tomar decisiones que a todos com- prometían (Ariza, 2007). …”
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Beams with the transverse-only intensity at the focus by S.S. Stafeev, N.N. Kazakov, V.V. Kotlyar

“…In this work, sharp focusing of vector beams with azimuthal polarization and beams with V-line of polarization uncertainty is simulated numerically using the Richards-Wolf formulas. It is demonstrated that at the sharp focus of these beams the longitudinal component of the electric field vector is zero. …”
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Studying the Interstellar Medium of H II/BCD Galaxies Using IFU Spectroscopy by Patricio Lagos, Polychronis Papaderos

“…They also show He ii  λ4686 emission with the properties being suggestive of a mix of excitation sources and with Wolf-Rayet stars being excluded as the primary ones. …”
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Vínculos de sangre: de Carmilla y Drácula a Alucarda by Carlos Gerardo Zermeño-Vargas

“…A partir del marco teórico elaborado por Sergio Wolf para analizar las resignificaciones por las que pasa una narración literaria cuando es adaptada al cine, se estudió la película Alucarda , del mexicano Juan López Moctezuma, cuya mitología está construida a partir de dos novelas góticas: Carmilla y Drácula . …”
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Participation in residential child care in Germany by Bernhard Babic, Liane Pluto

“…Yet others may be supported-living units for individuals (Freigang & Wolf, 2001). Residential establishments in Germany combine everyday life with educational and therapeutic services in order that they either seek to ensure the return of the child or young person to his or her own family, or prepare them for living in another family. …”

A Comparison of Metaheuristic Techniques for Solving Optimal Sitting and Sizing Problems of Capacitor Banks to Reduce the Power Loss in Radial Distribution System by Tongfei Lei, Saleem Riaz, Hira Raziq, Munira Batool, Feng Pan, Jianfeng Wang

“…In this paper, several metaheuristic techniques such as particle swarm optimization (PSO), Harmony search, Bat, Cuckoo, and Grey-wolf (GW) algorithms are employed to find the size of capacitor banks. …”
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Design and Optimization of Support and Drive System for Magnetic Levitation Air Compressor for Fuel Cells by Enhui Xing, Qi Gao, Yuanqi Dong, Wenxin Bai

“…Multi-physics field and multi-objective optimization were carried out by integrating the multi-physics field with the Multi-objective Grey Wolf Algorithm (MOGWO), and the feasibility of the design of the system and its reliability were verified using finite element software.…”
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Innovations in hypoxic training by Raphael Faiss, Martin Faulhaber

“…A first symposium on sport at moderate altitude was held in 1965 in Magglingen before a Swiss delegation headed by Dr. Kaspar Wolf sojourned in Mexico in November 1966 to explore the strong discrepancies in the athletes’ individual responses to altitude during their prolonged stay at 2300 m. 60 years later in Magglingen, the knowledge around physiological mechanisms underpinning responses to exercise and training in various low (or high) oxygen environments has increased tremendously with a wide range of recommendations available for altitude training camps or the use of hyperoxia to stimulate specific adaptations. …”
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IFDR: An Efficient Iterative Optimization Algorithm for Standard Cell Placement by Feng Cheng, Junfa Mao

“…Experiments on the Microelectronics Center of North Carolina (MCNC) standard cell benchmarks [http://www.cbl.ncsu.edu/pub/Benchmark_ dirs/Layout Synth92/] have been done, and the results show that total wire length is reduced up to 25% and by an average of 16% in comparison with that from the placement algorithm of TimberWolf7.0.…”
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