Artykuły w czasopismach na temat „Deep space tracking”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Deep space tracking”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Genova, Antonio, i Flavio Petricca. "Deep-Space Navigation with Intersatellite Radio Tracking". Journal of Guidance, Control, and Dynamics 44, nr 5 (maj 2021): 1068–79. http://dx.doi.org/10.2514/1.g005610.
Davarian, Faramaz, i Luitjens Popken. "Technical Advances in Deep-Space Communications and Tracking". Proceedings of the IEEE 95, nr 11 (listopad 2007): 2108–10. http://dx.doi.org/10.1109/jproc.2007.906610.
Bocanegra-Bahamón, T. M., G. Molera Calvés, L. I. Gurvits, D. A. Duev, S. V. Pogrebenko, G. Cimò, D. Dirkx i P. Rosenblatt. "Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos Flyby". Astronomy & Astrophysics 609 (styczeń 2018): A59. http://dx.doi.org/10.1051/0004-6361/201731524.
Gawronski, W. "Predictive Controller and Estimator for NASA Deep Space Network Antennas". Journal of Dynamic Systems, Measurement, and Control 116, nr 2 (1.06.1994): 241–48. http://dx.doi.org/10.1115/1.2899216.
Teitelbaum, Lawrence, Walid Majid, Manuel M. Franco, Daniel J. Hoppe, Shinji Horiuchi i T. Joseph W. Lazio. "Precision Pulsar Timing with NASA's Deep Space Network". Proceedings of the International Astronomical Union 11, A29B (sierpień 2015): 367–69. http://dx.doi.org/10.1017/s174392131600555x.
Mukai, R., V. A. Vilnrotter, P. Arabshahi i V. Jamnejad. "Adaptive acquisition and tracking for deep space array feed antennas". IEEE Transactions on Neural Networks 13, nr 5 (wrzesień 2002): 1149–62. http://dx.doi.org/10.1109/tnn.2002.1031946.
Chen, Yijiang, Hamid Hemmati i Gerry G. Ortiz. "Feasibility of infrared Earth tracking for deep-space optical communications". Optics Letters 37, nr 1 (24.12.2011): 73. http://dx.doi.org/10.1364/ol.37.000073.
Johnston, Mark D., Daniel Tran, Belinda Arroyo, Sugi Sorensen, Peter Tay, Butch Carruth, Adam Coffman i Mike Wallace. "Automated Scheduling for NASA's Deep Space Network". AI Magazine 35, nr 4 (22.12.2014): 7–25. http://dx.doi.org/10.1609/aimag.v35i4.2552.
Yamamoto, Zen-icji, Haruto Hirosawa i Tamiya Nomura. "Dual Speed PN Ranging System for Tracking of Deep Space Probes". IEEE Transactions on Aerospace and Electronic Systems AES-23, nr 4 (lipiec 1987): 519–27. http://dx.doi.org/10.1109/taes.1987.310885.
Davarian, Faramaz, i Luitjens Popken. "Special Issue on Technical Advances in Deep-Space Communications and Tracking". Proceedings of the IEEE 95, nr 10 (październik 2007): 1898–901. http://dx.doi.org/10.1109/jproc.2007.905981.
Bokulic, R. S., i J. R. Jensen. "Experimental verification of noncoherent Doppler tracking at the Deep Space Network". IEEE Transactions on Aerospace and Electronic Systems 36, nr 4 (2000): 1401–6. http://dx.doi.org/10.1109/7.892689.
Song, Qingping, i Rongke Liu. "Weighted adaptive filtering algorithm for carrier tracking of deep space signal". Chinese Journal of Aeronautics 28, nr 4 (sierpień 2015): 1236–44. http://dx.doi.org/10.1016/j.cja.2015.05.001.
Zhang, J. S., J. Cao, B. Mao i D. Q. Shen. "EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30.04.2018): 2257–61. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2257-2018.
Zhai, Chengxing, Quanzhi Ye, Michael Shao, Russell Trahan, Navtej S. Saini, Janice Shen, Thomas A. Prince i in. "Synthetic Tracking Using ZTF Deep Drilling Data Sets". Publications of the Astronomical Society of the Pacific 132, nr 1012 (21.04.2020): 064502. http://dx.doi.org/10.1088/1538-3873/ab828b.
Gawronski, W., J. J. Beech-Brandt, H. G. Ahlstrom i E. Maneri. "Torque-bias profile for improved tracking of the Deep Space Network antennas". IEEE Antennas and Propagation Magazine 42, nr 6 (2000): 35–45. http://dx.doi.org/10.1109/74.894180.
Buu, C. M., F. A. Jenet, J. W. Armstrong, S. W. Asmar, M. Beroiz, T. Cheng i J. A. O'Dea. "A Prototype Radio Transient Survey Instrument for Piggyback Deep Space Network Tracking". Proceedings of the IEEE 99, nr 5 (maj 2011): 889–94. http://dx.doi.org/10.1109/jproc.2010.2053830.
Miller, James G. "Covariance analysis for deep-space satellites with radar and optical tracking data". Journal of the Astronautical Sciences 55, nr 2 (czerwiec 2007): 237–43. http://dx.doi.org/10.1007/bf03256522.
Zhang, Rui, Zhaokui Wang i Yulin Zhang. "Astronaut Visual Tracking of Flying Assistant Robot in Space Station Based on Deep Learning and Probabilistic Model". International Journal of Aerospace Engineering 2018 (12.07.2018): 1–17. http://dx.doi.org/10.1155/2018/6357185.
Subramanyam, A. V. G., D. Siva Reddy, V. K. Hariharan, V. V. Srinivasan i Ajay Chakrabarty. "High Power Combline Filter for Deep Space Applications". International Journal of Microwave Science and Technology 2014 (14.09.2014): 1–11. http://dx.doi.org/10.1155/2014/396494.
Chen, Can, Luca Zanotti Fragonara i Antonios Tsourdos. "Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation". Sensors 21, nr 6 (17.03.2021): 2113. http://dx.doi.org/10.3390/s21062113.
Cardarilli, Gian Carlo, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Matta, Marco Re, Luciano Iess i in. "Hardware Prototyping and Validation of a W-ΔDOR Digital Signal Processor". Applied Sciences 9, nr 14 (20.07.2019): 2909. http://dx.doi.org/10.3390/app9142909.
Denil, Misha, Loris Bazzani, Hugo Larochelle i Nando de Freitas. "Learning Where to Attend with Deep Architectures for Image Tracking". Neural Computation 24, nr 8 (sierpień 2012): 2151–84. http://dx.doi.org/10.1162/neco_a_00312.
Yang, Guosheng, i Qisheng Wei. "Visual Object Multimodality Tracking Based on Correlation Filters for Edge Computing". Security and Communication Networks 2020 (10.12.2020): 1–13. http://dx.doi.org/10.1155/2020/8891035.
Luo, Cui Hua, Hai Feng Qi i Cai Wen Ma. "Linearization of Coupled Pointing and Tracking Dynamical Equations". Advanced Materials Research 971-973 (czerwiec 2014): 1637–42. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1637.
Gard, N. A., J. Chen, P. Tang i A. Yilmaz. "DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (26.09.2018): 149–54. http://dx.doi.org/10.5194/isprs-archives-xlii-1-149-2018.
Li, Shuang, Ruikun Lu, Liu Zhang i Yuming Peng. "Image Processing Algorithms For Deep-Space Autonomous Optical Navigation". Journal of Navigation 66, nr 4 (22.04.2013): 605–23. http://dx.doi.org/10.1017/s0373463313000131.
Hossain i Lee. "Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices". Sensors 19, nr 15 (31.07.2019): 3371. http://dx.doi.org/10.3390/s19153371.
Jiang, Haodi, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang i Haimin Wang. "Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning". Astrophysical Journal Supplement Series 250, nr 1 (26.08.2020): 5. http://dx.doi.org/10.3847/1538-4365/aba4aa.
Lowe, S. T., i R. N. Treuhaft. "Applications of Few-Hundred Microarcsecond VLBI Astrometry: Planetary Relativistic Deflection, PPN Gamma Determination and Deep-Space Tracking". Symposium - International Astronomical Union 156 (1993): 145–49. http://dx.doi.org/10.1017/s0074180900173127.
Paidi, Vijay, Hasan Fleyeh, Johan Håkansson i Roger G. Nyberg. "Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter". Journal of Advanced Transportation 2021 (23.08.2021): 1–12. http://dx.doi.org/10.1155/2021/1812647.
Mariotti, G., i P. Tortora. "Experimental validation of a dual uplink multifrequency dispersive noise calibration scheme for Deep Space tracking". Radio Science 48, nr 2 (marzec 2013): 111–17. http://dx.doi.org/10.1002/rds.20024.
Li, Yidi, Hong Liu, Bing Yang, Runwei Ding i Yang Chen. "Deep Metric Learning-Assisted 3D Audio-Visual Speaker Tracking via Two-Layer Particle Filter". Complexity 2020 (31.08.2020): 1–8. http://dx.doi.org/10.1155/2020/3764309.
Mehmood, Atif, Inam ul Hasan Shaikh i Ahsan Ali. "Application of Deep Reinforcement Learning for Tracking Control of 3WD Omnidirectional Mobile Robot". Information Technology and Control 50, nr 3 (24.09.2021): 507–21. http://dx.doi.org/10.5755/j01.itc.50.3.25979.
Chang, Oscar, Patricia Constante, Andrés Gordon i Marco Singaña. "A Novel Deep Neural Network that Uses Space-Time Features for Tracking and Recognizing a Moving Object". Journal of Artificial Intelligence and Soft Computing Research 7, nr 2 (1.04.2017): 125–36. http://dx.doi.org/10.1515/jaiscr-2017-0009.
Davarian, Faramaz, Douglas Abraham, Matt Angert, John Baker, Jay Gao, Norman Lay i Jeffrey Stuart. "Improving Small Satellite Communications and Tracking in Deep Space—A Review of the Existing Systems and Technologies With Recommendations for Improvement. Part III: The Deep Space Network". IEEE Aerospace and Electronic Systems Magazine 35, nr 8 (1.08.2020): 4–13. http://dx.doi.org/10.1109/maes.2020.2992211.
Cannon, W. H. "Quantum mechanical uncertainty limitations on deep space navigation by Doppler tracking and very long baseline interferometry". Radio Science 25, nr 2 (marzec 1990): 97–100. http://dx.doi.org/10.1029/rs025i002p00097.
Lee, Eunji, Youngkwang Kim, Minsik Kim i Sang-Young Park. "Development, Demonstration and Validation of the Deep Space Orbit Determination Software Using Lunar Prospector Tracking Data". Journal of Astronomy and Space Sciences 34, nr 3 (15.09.2017): 213–23. http://dx.doi.org/10.5140/jass.2017.34.3.213.
Lim, Seongmin, Jin-Hyung Kim, Won-Sub Choi i Hae-Dong Kim. "A Study on the Deep Neural Network based Recognition Model for Space Debris Vision Tracking System". Journal of the Korean Society for Aeronautical & Space Sciences 45, nr 9 (30.09.2017): 794–806. http://dx.doi.org/10.5139/jksas.2017.45.9.794.
Lau, Kam Y., i George F. Lutes. "Ultra-stable RF-over-fiber transport enables NASA ground-based deep space tracking antenna arrays and space-borne earth mapping radar". IEEE Aerospace and Electronic Systems Magazine 29, nr 9 (wrzesień 2014): 34–41. http://dx.doi.org/10.1109/maes.2014.140080.
Yang, Senlin, i Xin Chong. "Study on Portrait Tracking Technology of Deep Feature Learning in Monitoring Image Acquisition". Journal of Imaging Science and Technology 65, nr 4 (1.07.2021): 40502–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2021.65.4.040502.
BERTOLAMI, ORFEU, FREDERICO FRANCISCO, PAULO J. S. GIL i JORGE PÁRAMOS. "TESTING THE FLYBY ANOMALY WITH THE GNSS CONSTELLATION". International Journal of Modern Physics D 21, nr 04 (kwiecień 2012): 1250035. http://dx.doi.org/10.1142/s0218271812500356.
JOHANN, ULRICH A. "CONCEPT CONSIDERATIONS FOR A DEEP SPACE GRAVITY PROBE BASED ON LASER-CONTROLLED FREE-FLYING REFERENCE MASSES". International Journal of Modern Physics D 16, nr 12a (grudzień 2007): 2297–307. http://dx.doi.org/10.1142/s0218271807011450.
Xia, Chunlei, Longwen Fu, Zuoyi Liu, Hui Liu, Lingxin Chen i Yuedan Liu. "Aquatic Toxic Analysis by Monitoring Fish Behavior Using Computer Vision: A Recent Progress". Journal of Toxicology 2018 (3.04.2018): 1–11. http://dx.doi.org/10.1155/2018/2591924.
Zhu, Kun, Xiaodong Zhang, Guanzhou Chen, Xiaoliang Tan, Puyun Liao, Hongyu Wu, Xiujuan Cui, Yinan Zuo i Zhiyong Lv. "Single Object Tracking in Satellite Videos: Deep Siamese Network Incorporating an Interframe Difference Centroid Inertia Motion Model". Remote Sensing 13, nr 7 (29.03.2021): 1298. http://dx.doi.org/10.3390/rs13071298.
Tang Cong, 唐. 聪., 凌永顺 Ling Yongshun, 杨. 华. Yang Hua, 杨. 星. Yang Xing i 郑. 超. Zheng Chao. "A visual tracking method via object detection based on deep learning". Infrared and Laser Engineering 47, nr 5 (2018): 526001. http://dx.doi.org/10.3788/irla201847.0526001.
Hashmi, Ali J., Ali A. Eftekhar, Ali Adibi i Farid Amoozegar. "Statistical analysis and performance evaluation of optical array receivers for deep-space optical communications under random tracking errors". Physical Communication 31 (grudzień 2018): 230–38. http://dx.doi.org/10.1016/j.phycom.2018.03.010.
Guo Qiang, 郭. 强., 芦晓红 Lu Xiaohong, 谢英红 Xie Yinghong i 孙. 鹏. Sun Peng. "Efficient visual target tracking algorithm based on deep spectral convolutional neural networks". Infrared and Laser Engineering 47, nr 6 (2018): 626005. http://dx.doi.org/10.3788/irla201847.0626005.
Welch, Bryan W. "Regionalized Lunar South Pole Surface Navigation System Analysis". International Journal of Navigation and Observation 2008 (9.04.2008): 1–7. http://dx.doi.org/10.1155/2008/435961.
Gochoo, Munkhjargal, Syeda Amna Rizwan, Yazeed Yasin Ghadi, Ahmad Jalal i Kibum Kim. "A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras". Applied Sciences 11, nr 12 (14.06.2021): 5503. http://dx.doi.org/10.3390/app11125503.
Niell, A. E. "Geocentric Terrestrial Reference Frame Accuracy: DSN Spacecraft Tracking and VLBI/Lunar Laser Ranging". Symposium - International Astronomical Union 128 (1988): 115–20. http://dx.doi.org/10.1017/s0074180900119370.