Artículos de revistas sobre el tema "Swarm verification"
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Holzmann, Gerard J., Rajeev Joshi y Alex Groce. "Swarm Verification Techniques". IEEE Transactions on Software Engineering 37, n.º 6 (noviembre de 2011): 845–57. http://dx.doi.org/10.1109/tse.2010.110.
Texto completoLU, Nan, Xiaodong WANG, Zheng TANG y Pei HE. "Modeling method of unmanned aerial vehicle swarm behavior based on spatiotemporal hybrid Petri net". Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, n.º 4 (agosto de 2022): 812–18. http://dx.doi.org/10.1051/jnwpu/20224040812.
Texto completoWijs, Anton. "Informed Swarm Verification of Infinite-State Systems". Electronic Proceedings in Theoretical Computer Science 73 (11 de noviembre de 2011): 19. http://dx.doi.org/10.4204/eptcs.73.4.
Texto completoDixon, Clare, Alan F. T. Winfield, Michael Fisher y Chengxiu Zeng. "Towards temporal verification of swarm robotic systems". Robotics and Autonomous Systems 60, n.º 11 (noviembre de 2012): 1429–41. http://dx.doi.org/10.1016/j.robot.2012.03.003.
Texto completoSharmila D , A. V. Pra.bu, N. Selvaganesh,. "AUTHORSHIP VERIFICATION USING MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM". Psychology and Education Journal 58, n.º 1 (15 de enero de 2021): 4262–66. http://dx.doi.org/10.17762/pae.v58i1.1492.
Texto completoHuang, Ai Ming y Mao Ling Pen. "Multi Biometrics Fusion Identity Verification Based on Particle Swarm Optimization". Applied Mechanics and Materials 44-47 (diciembre de 2010): 3195–99. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3195.
Texto completoWang, Chuanyun, Yang Su, Jingjing Wang, Tian Wang y Qian Gao. "UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking". Remote Sensing 14, n.º 11 (28 de mayo de 2022): 2601. http://dx.doi.org/10.3390/rs14112601.
Texto completoHuang, Yixin, Xiaojia Xiang, Han Zhou, Dengqing Tang y Yihao Sun. "Online Identification-Verification-Prediction Method for Parallel System Control of UAVs". Aerospace 8, n.º 4 (2 de abril de 2021): 99. http://dx.doi.org/10.3390/aerospace8040099.
Texto completoV. Gayetri Devi, S., C. Nalini y N. Kumar. "An efficient software verification using multi-layered software verification tool". International Journal of Engineering & Technology 7, n.º 2.21 (20 de abril de 2018): 454. http://dx.doi.org/10.14419/ijet.v7i2.21.12465.
Texto completoZhang, Hong y Masumi Ishikawa. "The performance verification of an evolutionary canonical particle swarm optimizer". Neural Networks 23, n.º 4 (mayo de 2010): 510–16. http://dx.doi.org/10.1016/j.neunet.2009.12.002.
Texto completoYin, Lirong, Lei Wang, Wenfeng Zheng, Lijun Ge, Jiawei Tian, Yan Liu, Bo Yang y Shan Liu. "Evaluation of Empirical Atmospheric Models Using Swarm-C Satellite Data". Atmosphere 13, n.º 2 (9 de febrero de 2022): 294. http://dx.doi.org/10.3390/atmos13020294.
Texto completoBabić, Anja, Ivan Lončar, Barbara Arbanas, Goran Vasiljević, Tamara Petrović, Stjepan Bogdan y Nikola Mišković. "A Novel Paradigm for Underwater Monitoring Using Mobile Sensor Networks". Sensors 20, n.º 16 (17 de agosto de 2020): 4615. http://dx.doi.org/10.3390/s20164615.
Texto completoCosar, Mustafa y Harun Emre Kiran. "Verification of Localization via Blockchain Technology on Unmanned Aerial Vehicle Swarm". Computing and Informatics 40, n.º 2 (2021): 428–45. http://dx.doi.org/10.31577/cai_2021_2_428.
Texto completoZhang, Guo you y Jian chao Zeng. "Analysis and verification of terrain coverage algorithm based on wasp swarm". International Journal of Modelling, Identification and Control 14, n.º 4 (2011): 250. http://dx.doi.org/10.1504/ijmic.2011.043147.
Texto completoKida, Tomoha, Yuichiro Sueoka, Hiro Shigeyoshi, Yusuke Tsunoda, Yasuhiro Sugimoto y Koichi Osuka. "Verification of Acoustic-Wave-Oriented Simple State Estimation and Application to Swarm Navigation". Journal of Robotics and Mechatronics 33, n.º 1 (20 de febrero de 2021): 119–28. http://dx.doi.org/10.20965/jrm.2021.p0119.
Texto completoZhang, Yu Xin y Yu Liu. "Application of BP Neural Network Based on Immune Particle Swarm Optimization for Fault Diagnosis of Power Transformer". Applied Mechanics and Materials 448-453 (octubre de 2013): 3605–9. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3605.
Texto completoChou, Fu-I., Tian-Hsiang Huang, Po-Yuan Yang, Chin-Hsuan Lin, Tzu-Chao Lin, Wen-Hsien Ho y Jyh-Horng Chou. "Controllability of Fractional-Order Particle Swarm Optimizer and Its Application in the Classification of Heart Disease". Applied Sciences 11, n.º 23 (5 de diciembre de 2021): 11517. http://dx.doi.org/10.3390/app112311517.
Texto completoWang, Xihui, Houtao Chen, Xiaoxing Zhu, Zhijie Wang, Xin Xun y Honghao He. "Modeling of coordination control system for supercritical unit under wet state operating condition". Journal of Physics: Conference Series 2378, n.º 1 (1 de diciembre de 2022): 012038. http://dx.doi.org/10.1088/1742-6596/2378/1/012038.
Texto completoJia, Dongbao, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong y Xinxin Ban. "Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning". Discrete Dynamics in Nature and Society 2022 (4 de julio de 2022): 1–14. http://dx.doi.org/10.1155/2022/3259222.
Texto completoYang, Wenda, Minggong Wu, Xiangxi Wen y Kexin Bi. "A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity". International Journal of Aerospace Engineering 2022 (18 de agosto de 2022): 1–16. http://dx.doi.org/10.1155/2022/8418426.
Texto completoYAMAMOTO, Kentaro, Ryosuke MATSUZAKI y Akira TODOROKI. "Experimental verification of delamination detection in CFRP laminates using Crack Swarm Inspection". Proceedings of the Materials and processing conference 2016.24 (2016): 322. http://dx.doi.org/10.1299/jsmemp.2016.24.322.
Texto completoChen, Yung-Hsiang y Yung-Yue Chen. "Trajectory Tracking Design for a Swarm of Autonomous Mobile Robots: A Nonlinear Adaptive Optimal Approach". Mathematics 10, n.º 20 (20 de octubre de 2022): 3901. http://dx.doi.org/10.3390/math10203901.
Texto completoFerrer, Eduardo Castelló, Thomas Hardjono, Alex Pentland y Marco Dorigo. "Secure and secret cooperation in robot swarms". Science Robotics 6, n.º 56 (28 de julio de 2021): eabf1538. http://dx.doi.org/10.1126/scirobotics.abf1538.
Texto completoDu, Yexin, Li Qing y Jie He. "Research on Particle Swarm Fusion Sliding Mode Tracking Decoding Technology for Rotary Transformer". Journal of Physics: Conference Series 2428, n.º 1 (1 de febrero de 2023): 012029. http://dx.doi.org/10.1088/1742-6596/2428/1/012029.
Texto completoLin, Cheng-Jian, Shiou-Yun Jeng, Hsueh-Yi Lin y Cheng-Yi Yu. "Design and Verification of an Interval Type-2 Fuzzy Neural Network Based on Improved Particle Swarm Optimization". Applied Sciences 10, n.º 9 (27 de abril de 2020): 3041. http://dx.doi.org/10.3390/app10093041.
Texto completoChen, Yung-Hsiang y Shi-Jer Lou. "Control Design of a Swarm of Intelligent Robots: A Closed-Form H2 Nonlinear Control Approach". Applied Sciences 10, n.º 3 (5 de febrero de 2020): 1055. http://dx.doi.org/10.3390/app10031055.
Texto completoHashemi, Seyyed Mohammad y Iraj Rahmani. "Numerical Comparison of the Performance of Genetic Algorithm and Particle Swarm Optimization in Excavations". Civil Engineering Journal 4, n.º 9 (30 de septiembre de 2018): 2186. http://dx.doi.org/10.28991/cej-03091149.
Texto completoCHOI, Han-Yong, Wataru SHINYA y Kazuho YOSHIMOTO. "812 Verification and application of Particle Swarm Optimization for the facility location problem". Proceedings of Conference of Chugoku-Shikoku Branch 2009.47 (2009): 279–80. http://dx.doi.org/10.1299/jsmecs.2009.47.279.
Texto completoShieh, Horng-Lin, Cheng-Chien Kuo y Chin-Ming Chiang. "Modified particle swarm optimization algorithm with simulated annealing behavior and its numerical verification". Applied Mathematics and Computation 218, n.º 8 (diciembre de 2011): 4365–83. http://dx.doi.org/10.1016/j.amc.2011.10.012.
Texto completoWang, Haixin, Shengsong Wei, Xin Chen, Mei Zhu y Zuhe Wang. "Hybrid Differential Evolution Particle Swarm Optimization Algorithm for Solving Resource Leveling Problem of Multi-project with Fixed Duration". International Journal of Circuits, Systems and Signal Processing 16 (11 de marzo de 2022): 801–10. http://dx.doi.org/10.46300/9106.2022.16.99.
Texto completoPrimiani, Rurik A., Kenneth H. Young, André Young, Nimesh Patel, Robert W. Wilson, Laura Vertatschitsch, Billie B. Chitwood, Ranjani Srinivasan, David MacMahon y Jonathan Weintroub. "SWARM: A 32 GHz Correlator and VLBI Beamformer for the Submillimeter Array". Journal of Astronomical Instrumentation 05, n.º 04 (diciembre de 2016): 1641006. http://dx.doi.org/10.1142/s2251171716410063.
Texto completoBorodin, Kirill y Nurlan Zhangabayuly Zhangabay. "Mechanical characteristics, as well as physical-and-chemical properties of the slag-filled concretes, and investigation of the predictive power of the metaheuristic approach". Curved and Layered Structures 6, n.º 1 (1 de enero de 2019): 236–44. http://dx.doi.org/10.1515/cls-2019-0020.
Texto completoHao, Li, Fan Xiangyu y Shi Manhong. "Research on the Cooperative Passive Location of Moving Targets Based on Improved Particle Swarm Optimization". Drones 7, n.º 4 (12 de abril de 2023): 264. http://dx.doi.org/10.3390/drones7040264.
Texto completoJadhav, Ashok Mohan y K. Vadirajacharya. "Performance Verification of PID Controller in an Interconnected Power System Using Particle Swarm Optimization". Energy Procedia 14 (2012): 2075–80. http://dx.doi.org/10.1016/j.egypro.2011.12.1210.
Texto completoFukuyama, Yoshikazu. "Verification of Dependability on Parallel Particle Swarm Optimization Based Voltage and Reactive Power Control". IFAC-PapersOnLine 48, n.º 30 (2015): 167–72. http://dx.doi.org/10.1016/j.ifacol.2015.12.372.
Texto completoLiu, Yan, Qi Wang, Guoyi He, Li Zhang y Jiao Wang. "A Novel Adaptive Particle Swarm Optimization Algorithm with Foraging Behavior in Optimization Design". MATEC Web of Conferences 166 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201816602004.
Texto completoLiu, Yi Lei, Dong Gao y Gang Wei Cui. "Volumetric Error Model of Large CNC Machine Tool and Verification Based on Particle Swarm Optimization". Key Engineering Materials 579-580 (septiembre de 2013): 76–79. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.76.
Texto completoChen, Chuandong, Rongshan Wei, Shaohao Wang y Wei Hu. "Novel Verification Method for Timing Optimization Based on DPSO". VLSI Design 2018 (21 de marzo de 2018): 1–8. http://dx.doi.org/10.1155/2018/8258397.
Texto completoHuang, Fangchen, Yuhan Chen y Wenzhou Lu. "Multi-objective Optimal Scheduling of Small Integrated Energy System Based on Improved Particle Swarm Optimization Algorithm". Journal of Physics: Conference Series 2400, n.º 1 (1 de diciembre de 2022): 012051. http://dx.doi.org/10.1088/1742-6596/2400/1/012051.
Texto completoMahalakshmi, S. y A. Arokiasamy. "A new particle swarm optimisation variant-based experimental verification of an industrial robot trajectory planning". International Journal of Operational Research 41, n.º 3 (2021): 399. http://dx.doi.org/10.1504/ijor.2021.116250.
Texto completoSengupta, A., S. Mukhopadhyay y A. K. Sinha. "Automated Verification of Power System Protection Schemes—Part II: Test Case Generation Using Swarm Intelligence". IEEE Transactions on Power Delivery 30, n.º 5 (octubre de 2015): 2087–95. http://dx.doi.org/10.1109/tpwrd.2014.2376592.
Texto completoS, Mahalakshmi y A. Arokiasamy. "A new Particle Swarm Optimization variant based experimental verification of an industrial robot trajectory planning". International Journal of Operational Research 1, n.º 1 (2021): 1. http://dx.doi.org/10.1504/ijor.2021.10019632.
Texto completoRaghavendra, R., Bernadette Dorizzi, Ashok Rao y G. Hemantha Kumar. "Particle swarm optimization based fusion of near infrared and visible images for improved face verification". Pattern Recognition 44, n.º 2 (febrero de 2011): 401–11. http://dx.doi.org/10.1016/j.patcog.2010.08.006.
Texto completoCzejdo, Bogdan, Wiktor Daszczuk, Waldemar Grabski y Sambit Bhattacharya. "Cooperation of multiple autonomous robots and analysis of their swarm behavior". AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, n.º 12 (31 de diciembre de 2018): 872–79. http://dx.doi.org/10.24136/atest.2018.516.
Texto completoZhong, Zhifeng, Chenxi Yang, Wenyang Cao y Chenyang Yan. "Short-Term Photovoltaic Power Generation Forecasting Based on Multivariable Grey Theory Model with Parameter Optimization". Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5812394.
Texto completoGao, Yanbin, Lianwu Guan y Tingjun Wang. "Triaxial Accelerometer Error Coefficients Identification with a Novel Artificial Fish Swarm Algorithm". Journal of Sensors 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/509143.
Texto completoLiu, Huaimin, Xiangjiang Wang y Meng Li. "External force estimation for robotic manipulator base on particle swarm optimization". International Journal of Advanced Robotic Systems 18, n.º 6 (1 de noviembre de 2021): 172988142110637. http://dx.doi.org/10.1177/17298814211063744.
Texto completoZhang, Kui y Shan Zhu. "Defect Detection Image Processing Technology Based on Swarm Intelligence Optimization Algorithm". Journal of Physics: Conference Series 2400, n.º 1 (1 de diciembre de 2022): 012031. http://dx.doi.org/10.1088/1742-6596/2400/1/012031.
Texto completoMatsuzaki, Ryosuke, Kentaro Yamamoto y Akira Todoroki. "Delamination detection in carbon fiber reinforced plastic cross-ply laminates using crack swarm inspection: Experimental verification". Composite Structures 173 (agosto de 2017): 127–35. http://dx.doi.org/10.1016/j.compstruct.2017.04.014.
Texto completoLu, Jie, Weidong Guo, Jinpei Liu, Ruijie Zhao, Yueyang Ding y Shaoshuai Shi. "An Intelligent Advanced Classification Method for Tunnel-Surrounding Rock Mass Based on the Particle Swarm Optimization Least Squares Support Vector Machine". Applied Sciences 13, n.º 4 (5 de febrero de 2023): 2068. http://dx.doi.org/10.3390/app13042068.
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