Results 21 to 30 of about 242,385 (294)

Multi-Drone Optimal Mission Assignment and 3D Path Planning for Disaster Rescue

Drones, 2023
In a three-dimensional (3D) disaster rescue mission environment, multi-drone mission assignments and path planning are challenging. Aiming at this problem, a mission assignment method based on adaptive genetic algorithms (AGA) and a path planning method ...
Tao Xiong, Fang Liu, Haoting Liu, Jianyue Ge, Hao Li, Kai Ding, Qing Li   +6 more
doaj   +1 more source

Combinatorial families of multilabelled increasing trees and hook-length formulas [PDF]

, 2014
In this work we introduce and study various generalizations of the notion of increasingly labelled trees, where the label of a child node is always larger than the label of its parent node, to multilabelled tree families, where the nodes in the tree can ...
Kuba, Markus, Panholzer, Alois
core   +1 more source

Stray Current Prediction Model for Buried Gas Pipelines Based on Multiple Regression Models and Extreme Learning Machine

International Journal of Electrochemical Science, 2021
Serious stray current corrosion poses a threat to the sustainable and safe use of buried gas pipelines. To exactly predict the stray current of buried gas pipelines and take timely action to reduce stray current corrosion on buried pipelines, the ...
Jiansan Li, Zhenbin Liu, Hong Yi, Guiyun Liu, Yifan Tian   +4 more
doaj   +1 more source

Absolute multiple sine functions

Proceedings of the Japan Academy, Series A, Mathematical Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kurokawa, Nobushige, Tanaka, Hidekazu
openaire   +3 more sources

Identity activation structural tolerance online sequential circular extreme learning machine for highlydimensional data

Engineering and Applied Science Research, 2019
The Structural Tolerance Online Sequential Circular Extreme Learning Machine (STOS-CELM) was developed based on the Circular Extreme Learning Machine (CELM) to allow sequential learning and to mitigate the criticality of deciding the number of hidden ...
Sarutte Atsawaraungsu, Tatpong Katanyukul, Pattarawit Polpinit   +2 more
doaj   +1 more source

An Enhanced Artificial Ecosystem-Based Optimization for Optimal Allocation of Multiple Distributed Generations

IEEE Access, 2020
Optimal allocation of distributed generations (DGs) is vital to the proper operation of the distribution systems, which leads to power loss minimization and acceptable voltage regulation. In this paper, an Enhanced Artificial Ecosystem-based Optimization
Ahmad Eid, Salah Kamel, Ahmed Korashy, Tahir Khurshaid   +3 more
doaj   +1 more source

An information-theoretic approach to the gravitational-wave burst detection problem [PDF]

, 2017
The observational era of gravitational-wave astronomy began in the Fall of 2015 with the detection of GW150914. One potential type of detectable gravitational wave is short-duration gravitational-wave bursts, whose waveforms can be difficult to predict ...
Essick, Reed, Katsavounidis, Erik, Lynch, Ryan, Robinet, Florent, Vitale, Salvatore   +4 more
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Multi-frequency wavefield modeling of acoustic VTI wave equation using physics informed neural networks

Frontiers in Earth Science, 2023
Incorporating anisotropy is crucial for accurately modeling seismic wave propagation. However, numerical solutions are susceptible to dispersion artifacts, and they often require considerable computational resources. Moreover, their accuracy is dependent
Ali Imran Sandhu, Umair bin Waheed, Chao Song, Oliver Dorn, Pantelis Soupios   +4 more
doaj   +1 more source

First upper limits from LIGO on gravitational wave bursts [PDF]

, 2003
We report on a search for gravitational wave bursts using data from the first science run of the LIGO detectors. Our search focuses on bursts with durations ranging from 4 ms to 100 ms, and with significant power in the LIGO sensitivity band of 150 to ...
A. Abramovici, A. Ageev, A. Bullington, A. Buonanno, A. C. Searle, A. Chandler, A. Freise, A. G. Wiseman, A. Gillespie, A. Grant, A. Hartunian, A. Heptonstall, A. Ivanov, A. Khan, A. Lazzarini, A. M. Gretarsson, A. M. Sintes, A. Marin, A. Ottewill, A. Rizzi, A. Rüdiger, A. S. Sengupta, A. Sazonov, A. Sibley, A. Stuver, A. Takamori, A. Vecchio, A. Weidner, A. Weinstein, A. Wilson, B. Abbott, B. Abbott, B. Abbott, B. Allen, B. Barr, B. Bhawal, B. Bland-Weaver, B. Bochner, B. C. Barish, B. F. Schutz, B. F. Whiting, B. J. Cusack, B. J. Owen, B. J. Winjum, B. Krishnan, B. Lantz, B. Machenschalk, B. Mours, B. O’Reilly, B. Sathyaprakash, B. Sears, B. Ware, B. Willke, B. Willke, C. A. Cantley, C. A. Shapiro, C. Aulbert, C. Barker-Patton, C. Colacino, C. Cutler, C. Ebeling, C. Fallnich, C. Gray, C. Hardham, C. J. Killow, C. Kim, C. King, C. Messenger, C. Parameswariah, C. Torres, C. Torrie, C. Vorvick, C. Walsh, D. A. Brown, D. B. Tanner, D. Barker, D. Busby, D. Chin, D. Churches, D. Cook, D. Coyne, D. DeBra, D. E. McClelland, D. Farnham, D. Grimmett, D. H. Reitze, D. H. Shoemaker, D. I. Robertson, D. J. Ottaway, D. Jungwirth, D. Kozak, D. Nicholson, D. Ouimette, D. R. M. Crooks, D. Redding, D. Rose, D. Sigg, D. Strom, D. Ugolini, D. Webber, E. Black, E. Daw, E. D’Ambrosio, E. Flanagan, E. Flanagan, E. Gustafson, E. J. Elliffe, E. Katsavounidis, E. Maros, E. Rotthoff, F. Acernese, F. Asiri, F. Mann, F. Nocera, F. Raab, G. Billingsley, G. Cagnoli, G. González, G. H. Sanders, G. Harry, G. Heinzel, G. Mendell, G. Mitselmakher, G. Moreno, G. Mueller, G. Newton, G. Stapfer, G. Traylor, G. Woan, G.J. Feldman, H. Armandula, H. Dimmelmeier, H. Ding, H. Grote, H. Lück, H. Naundorf, H. Overmier, H. Radkins, H. Rong, H. Tagoshi, H. Tariq, H. Walther, H. Ward, H. Welling, H. Yamamoto, I. A. Bilenko, I. Leonor, I. S. Heng, I. Salzman, I. Taylor, I. Yakushin, I. Zawischa, J. A. Giaime, J. B. Camp, J. Betzwieser, J. Castiglione, J. Chapsky, J. Conrad, J. D. E. Creighton, J. D. Romano, J. E. Brau, J. Edlund, J. Giaime, J. Giaime, J. Hanson, J. Heefner, J. Hough, J. Kern, J. Kovalik, J. Langdale, J. Logan, J. Mason, J. Myers, J. R. Smith, J. Rollins, J. Romie, J. Sylvestre, J. Sylvestre, J. T. Whelan, J. Worden, J. Zweizig, K. A. Strain, K. Bayer, K. Belczynski, K. Blackburn, K. Carter, K. Danzmann, K. Goda, K. Kawabe, K. Kötter, K. Libbrecht, K. Mailand, K. Mason, K. Mossavi, K. Reithmaier, K. Riles, K. Ryan, K. S. Ganezer, K. S. Thorne, K. Schlaufman, K. Skeldon, K. T. Reilly, K. V. Tokmakov, K. Watts, L. Bogue, L. Cadonati, L. Cardenas, L. Finn, L. Jones, L. Matone, L. Robison, L. S. Finn, L. Sievers, L. Wallace, L. Wen, L. Zhang, M. A. Barton, M. A. Papa, M. Araya, M. Barnes, M. C. Sumner, M. Coles, M. Díaz, M. Evans, M. Fine, M. Fyffe, M. Guenther, M. Hammond, M. Hennessy, M. Heurs, M. Hewitson, M. Hrynevych, M. Ito, M. Landry, M. Lei, M. Lormand, M. Lubinski, M. M. Casey, M. M. Fejer, M. MacInnis, M. Mageswaran, M. Malec, M. McHugh, M. Pedraza, M. Pitkin, M. Plissi, M. Pratt, M. R. Smith, M. Rakhmanov, M. Schrempel, M. Smith, M. Tibbits, M. Tinto, M. Vallisneri, M. van Putten, M. W. Regehr, M. Zucker, N. A. Robertson, N. Arnaud, N. Christensen, N. Hepler, N. Hindman, N. Mavalvala, N. Zotov, O. Jennrich, O. Matherny, O. Miyakawa, P. A. Willems, P. Astone, P. Astone, P. Astone, P. Aufmuth, P. Charlton, P. Csatorday, P. Ehrens, P. Fritschel, P. Fritschel, P. Fritschel, P. Grandclément, P. Hoang, P. J. Sutton, P. King, P. Kloevekorn, P. Lindquist, P. McNamara, P. Nutzman, P. R. Brady, P. R. Saulson, P. R. Williams, P. Russell, P. Schwinberg, P. Shawhan, P. Sneddon, Q. Z. Shu, R. Abbott, R. Adhikari, R. Amin, R. Balasubramanian, R. Beausoleil, R. Bennett, R. Bork, R. Burgess, R. Coldwell, R. Davies, R. DeSalvo, R. Forward, R. Frey, R. Gustafson, R. Ingley, R. J. Dupuis, R. L. Byer, R. Lawrence, R. McCarthy, R. Mittleman, R. Nayak, R. Rahkola, R. Riesen, R. Savage, R. Savage, R. Schilling, R. Schofield, R. Spero, R. Taylor, R. W. P. Drever, R. Weiss, R. Williams, R. Wooley, S. B. Anderson, S. Babak, S. Ballmer, S. Bose, S. Brozek, S. Chatterji, S. Dhurandhar, S. E. Whitcomb, S. Goßler, S. Goßler, S. Grunewald, S. J. Berukoff, S. Kawamura, S. Kawamura, S. Killbourn, S. Klimenko, S. Koranda, S. Liu, S. M. Scott, S. Meshkov, S. Miyoki, S. Mohanty, S. Mukherjee, S. Márka, S. Nagano, S. P. Vyachanin, S. Penn, S. R. Rao, S. Rice, S. Richman, S. Roddy, S. Rowan, S. Seel, S. Tilav, S. Traeger, S. Vass, S. Wen, S. Wise, S. Yoshida, T. Corbitt, T. D. Creighton, T. Delker, T. Etzel, T. Evans, T. Nash, T. Olson, T. Pradier, T. Regimbau, T. Summerscales, T. T. Lyons, T. Zwerger, U. Weiland, V. B. Braginsky, V. Chickarmane, V. Frolov, V. Kalogera, V. Leonhardt, V. P. Mitrofanov, V. Parameswariah, V. Quetschke, V. Sannibale, V. Schmidt, W. Anderson, W. E. Butler, W. G. Anderson, W. Hua, W. Johnston, W. Kells, W. Majid, W. O. Hamilton, W. Tyler, W. W. Johnson, W. Winkler, X. Siemens, Y. Chen, Y. Hefetz, Y. Itoh, Z. Allen   +404 more
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An Ultrasonic Signal Denoising Method for EMU Wheel Trackside Fault Diagnosis System Based on Improved Threshold Function

IEEE Access, 2021
In the safety protection system of the railway electric multiple unit (EMU), the safety of the running part is extremely important. The daily detection of the internal hazard defects of the wheels in the running parts relies on a professional trackside ...
Zhilin Sun, Jingui Lu
doaj   +1 more source