Literatura académica sobre el tema "Trap detection"
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Artículos de revistas sobre el tema "Trap detection"
Neuharth, Dalton B., Wade A. Ryberg, Connor S. Adams, Toby J. Hibbitts, Danielle K. Walkup, Shelby L. Frizzell, Timothy E. Johnson, Brian L. Pierce, Josh B. Pierce y D. Craig Rudolph. "Searching for rare and secretive snakes: are camera-trap and box-trap methods interchangeable?" Wildlife Research 47, n.º 6 (2020): 476. http://dx.doi.org/10.1071/wr19230.
Texto completoMcIntyre, T., T. L. Majelantle, D. J. Slip y R. G. Harcourt. "Quantifying imperfect camera-trap detection probabilities: implications for density modelling". Wildlife Research 47, n.º 2 (2020): 177. http://dx.doi.org/10.1071/wr19040.
Texto completoWelsh, Taylor J., Daniel Bentall, Connor Kwon y Flore Mas. "Automated Surveillance of Lepidopteran Pests with Smart Optoelectronic Sensor Traps". Sustainability 14, n.º 15 (4 de agosto de 2022): 9577. http://dx.doi.org/10.3390/su14159577.
Texto completoStokeld, Danielle, Anke S. K. Frank, Brydie Hill, Jenni Low Choy, Terry Mahney, Alys Stevens, Stuart Young, Djelk Rangers, Warddeken Rangers y Graeme R. Gillespie. "Multiple cameras required to reliably detect feral cats in northern Australian tropical savanna: an evaluation of sampling design when using camera traps". Wildlife Research 42, n.º 8 (2015): 642. http://dx.doi.org/10.1071/wr15083.
Texto completoWilton, Clay M., Jeff Beringer, Emily E. Puckett, Lori S. Eggert y Jerrold L. Belant. "Spatiotemporal factors affecting detection of black bears during noninvasive capture–recapture surveys". Journal of Mammalogy 97, n.º 1 (16 de noviembre de 2015): 266–73. http://dx.doi.org/10.1093/jmammal/gyv176.
Texto completoHahn, Federico, Salvador Valle, Roberto Rendón, Oneyda Oyorzabal y Alondra Astudillo. "Mango Fruit Fly Trap Detection Using Different Wireless Communications". Agronomy 13, n.º 7 (28 de junio de 2023): 1736. http://dx.doi.org/10.3390/agronomy13071736.
Texto completoMoll, Remington J., Waldemar Ortiz-Calo, Jonathon D. Cepek, Patrick D. Lorch, Patricia M. Dennis, Terry Robison y Robert A. Montgomery. "The effect of camera-trap viewshed obstruction on wildlife detection: implications for inference". Wildlife Research 47, n.º 2 (2020): 158. http://dx.doi.org/10.1071/wr19004.
Texto completoLevi-Zada, A., A. Sadowsky, S. Dobrinin, T. Ticuchinski, M. David, D. Fefer, E. Dunkelblum y J. A. Byers. "Monitoring and mass-trapping methodologies using pheromones: the lesser date moth Batrachedra amydraula". Bulletin of Entomological Research 108, n.º 1 (11 de mayo de 2017): 58–68. http://dx.doi.org/10.1017/s0007485317000487.
Texto completoHuang, Renjie, Tingshan Yao, Cheng Zhan, Geng Zhang y Yongqiang Zheng. "A Motor-Driven and Computer Vision-Based Intelligent E-Trap for Monitoring Citrus Flies". Agriculture 11, n.º 5 (19 de mayo de 2021): 460. http://dx.doi.org/10.3390/agriculture11050460.
Texto completoRamsey, Dave, Murray Efford, Steve Ball y Graham Nugent. "The evaluation of indices of animal abundance using spatial simulation of animal trapping". Wildlife Research 32, n.º 3 (2005): 229. http://dx.doi.org/10.1071/wr03119.
Texto completoTesis sobre el tema "Trap detection"
Örn, Fredrik. "Computer Vision for Camera Trap Footage : Comparing classification with object detection". Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447482.
Texto completoMurray, Jacolin Ann. "High Flow Air Sampling for Field Detection Using Gas Chromatography-Mass Spectrometry". BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2414.
Texto completoSudholz, Ashlee. "Machine learning for the automated detection of deer in drone and camera trap imagery". Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/212981/1/Ashlee_Sudholz_Thesis.pdf.
Texto completoGoeders, James E. "Resolved sideband spectroscopy for the detection of weak optical transitions". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49082.
Texto completoKracke, Holger [Verfasser]. "Detection of individual spin transitions of a single proton confined in a cryogenic Penning trap / Holger Kracke". Mainz : Universitätsbibliothek Mainz, 2013. http://d-nb.info/1032368268/34.
Texto completoArnesson, Pontus y Johan Forslund. "Edge Machine Learning for Wildlife Conservation : Detection of Poachers Using Camera Traps". Thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177483.
Texto completoCummings, Elizabeth Ann. "Optical Detection of Ultracold Neutral Calcium Plasmas". Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd692.pdf.
Texto completoHeck, Michael [Verfasser] y Klaus [Akademischer Betreuer] Blaum. "Investigation of various excitation and detection schemes of stored ions in a Penning trap / Michael Heck ; Betreuer: Klaus Blaum". Heidelberg : Universitätsbibliothek Heidelberg, 2013. http://d-nb.info/1177148544/34.
Texto completoChalkha, Achouak. "Glow discharge electron impact ionisation and improvements of linear ion trap operating mode for in-the-field detection of illegal substances". Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4704/document.
Texto completoAnđelković, Zoran [Verfasser]. "Setup of a Penning trap for precision laser spectroscopy at HITRAP : trapping, cooling and electronic detection of externally produced ions / Zoran Andelkovic". Mainz : Universitätsbibliothek Mainz, 2012. http://d-nb.info/1023187825/34.
Texto completoLibros sobre el tema "Trap detection"
Cross, Amanda. A trap for fools. New York, USA: Ballantine, 1990.
Buscar texto completoCross, Amanda. A trap for fools. Boston, Mass: G.K. Hall, 1990.
Buscar texto completoCross, Amanda. A trap for fools. New York: Dutton, 1989.
Buscar texto completoSprings, David W. How to outfox the bears: Beating the radar speed trap. Osceola, Wis., USA: Motorbooks International, 1987.
Buscar texto completoH, LaGasa Eric, Washington (State). Dept. of Agriculture. Laboratory Services Division. y Washington State Library. Electronic State Publications., eds. 2001 Western Washington exotic pest detection survey: A pheromone-trap survey for proeulia spp. (lepidoptera: tortricidae). [Olympia, Wash.]: Laboratory Services Division, Pest Program, Washington State Dept. of Agriculture, 2001.
Buscar texto completoH, LaGasa Eric, Washington (State). Plant Protection Division. y Washington State Library. Electronic State Publications., eds. 2002 pheromone-trap detection survey for leek moth, acrolepiopsis assectella (Zeller, 1893) (lepidoptera: acrolepiidae), an exotic pest of allium spp. [Olympia, Wash.]: Plant Protection Divison, Pest Program, Washington State Dept. of Agriculture, 2003.
Buscar texto completoH, LaGasa Eric, Washington (State). Plant Protection Division. y Washington State Library. Electronic State Publications., eds. 2002 pheromone-trap detection survey for plum fruit moth, grapholita funebrana (Treitschke, 1835) (lepidoptera: tortricidae), an exotic pest of prunus spp. [Olympia, Wash.]: Plant Protection Divison, Pest Program, Washington State Dept. of Agriculture, 2003.
Buscar texto completoLaGasa, Eric H. 2002 light-trap detection survey for European chafer, rhizotrogus majalis (raz.) (coleoptera: scarabeidae), a turf and grain pest recently found in B.C., Canada. [Olympia, Wash.]: Plant Protection Divison, Pest Program, Washington State Dept. of Agriculture, 2003.
Buscar texto completoUnited States. Animal and Plant Health Inspection Service. Plant Protection and Quarantine Programs., ed. Exotic pest detection manual. [Beltsville, Md.?]: APHIS Plant Protection and Quarantine, 1986.
Buscar texto completoThe Trap. New York: Delacorte Press, 2002.
Buscar texto completoCapítulos de libros sobre el tema "Trap detection"
He, Shibo, Jiming Chen, Junkun Li y Youxian Sun. "Energy-Efficient Trap Coverage in Sensor Networks". En Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks, 35–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04648-8_3.
Texto completoWang, Chun-Chia, H. W. Lin, Timothy K. Shih y Wonjun Lee. "Automatic Trap Detection of Ubiquitous Learning on SCORM Sequencing". En Ubiquitous Intelligence and Computing, 1164–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_117.
Texto completoFigueroa, Karina, Antonio Camarena-Ibarrola, Jonathan García y Héctor Tejeda Villela. "Fast Automatic Detection of Wildlife in Images from Trap Cameras". En Advanced Information Systems Engineering, 940–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_114.
Texto completoMeats, A. "Fruit Fly Detection Programs: The Potentials and Limitations of Trap Arrays". En Trapping and the Detection, Control, and Regulation of Tephritid Fruit Flies, 253–75. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9193-9_8.
Texto completoBrockerhoff, Eckehard G., Juan C. Corley, Hervé Jactel, Daniel R. Miller, Robert J. Rabaglia y Jon Sweeney. "Monitoring and Surveillance of Forest Insects". En Forest Entomology and Pathology, 669–705. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11553-0_19.
Texto completoAnand, P. Mohan, P. V. Sai Charan, Hrushikesh Chunduri y Sandeep K. Shukla. "RTR-Shield: Early Detection of Ransomware Using Registry and Trap Files". En Information Security Practice and Experience, 209–29. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7032-2_13.
Texto completoBlaum, Klaus y Günter Werth. "Precision Physics in Penning Traps Using the Continuous Stern-Gerlach Effect". En Molecular Beams in Physics and Chemistry, 247–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63963-1_13.
Texto completoTonouchi, M., M. Hangyo, J. Ramos, R. Ijsselsteijn, V. Schultze, H. G. Meyer y H. E. Hoenig. "Design of Superconductive Optical Flux Trap Memory for Femtosecond Laser Pulse Detection". En Advances in Superconductivity XI, 1297–300. Tokyo: Springer Japan, 1999. http://dx.doi.org/10.1007/978-4-431-66874-9_304.
Texto completoBrandl, Martin, M. Mayer, C. Fabian y D. Falkenhagen. "Optical detection of ferromagnetic and fluorescently labeled microparticles, simulation of a magnetic trap". En 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, 591–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68017-8_148.
Texto completoWhitley, Kevin D., Matthew J. Comstock y Yann R. Chemla. "High-Resolution “Fleezers”: Dual-Trap Optical Tweezers Combined with Single-Molecule Fluorescence Detection". En Optical Tweezers, 183–256. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6421-5_8.
Texto completoActas de conferencias sobre el tema "Trap detection"
Ramkaow, Tanutpong, Surangkana Philaphang, Peerapakorn Phornphikun y Jirawath Parnklang. "Mosquitoes Flapping Detection Electrocuting Trap". En 2022 7th International Conference on Control and Robotics Engineering (ICCRE). IEEE, 2022. http://dx.doi.org/10.1109/iccre55123.2022.9770258.
Texto completoXu, Zhongke, Liang Sun, Xinwei Wang, Han Dong, Pingshun Lei y Yan Zhou. "Binocular camera trap for wildlife detection". En Optoelectronic Imaging and Multimedia Technology VI, editado por Qionghai Dai, Tsutomu Shimura y Zhenrong Zheng. SPIE, 2019. http://dx.doi.org/10.1117/12.2537428.
Texto completoN, Veena, Mahalakshmi S y OmBhargava. "Human Trap Detection using Convolution Neural Networks". En 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2023. http://dx.doi.org/10.1109/iccmc56507.2023.10083927.
Texto completoGu, Tong, Min Han, Songlin He y Xiaotong Chen. "Trap Contract Detection in Blockchain with Improved Transformer". En GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10437216.
Texto completoLoos, Alexander, Christian Weigel y Mona Koehler. "Towards Automatic Detection of Animals in Camera-Trap Images". En 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553439.
Texto completoChunlong, Fan, Yu Zhouhua y Xu Lei. "An evaluating method of spider detection techniques by trap". En 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497315.
Texto completoLermer, N., M. D. Barnes, C.-Y. Kung, W. B. Whitten y J. M. Ramsey. "High-Speed Single Molecule Detection in Microdroplet Streams". En Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/lacea.1996.lwb.7.
Texto completoTekeli, Ulas y Yalin Bastanlar. "Detection of images with animals in raw camera-trap data". En 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404214.
Texto completoSchneider, Stefan, Graham W. Taylor y Stefan Kremer. "Deep Learning Object Detection Methods for Ecological Camera Trap Data". En 2018 15th Conference on Computer and Robot Vision (CRV). IEEE, 2018. http://dx.doi.org/10.1109/crv.2018.00052.
Texto completoXu, Xiaoxiao, Zhenyu Li, Nalinikanth Kotagiri, Pinaki Sarder, Samuel Achilefu y Arye Nehorai. "Microfluidic microsphere-trap arrays for simultaneous detection of multiple targets". En SPIE MOEMS-MEMS, editado por Holger Becker y Bonnie L. Gray. SPIE, 2013. http://dx.doi.org/10.1117/12.2006628.
Texto completoInformes sobre el tema "Trap detection"
Lammert, S. A., R. Merriweather, E. W. Sarver y M. B. Wasseman. Detection of chemical agents, precursors and by-products using ion trap technology. Office of Scientific and Technical Information (OSTI), diciembre de 1994. http://dx.doi.org/10.2172/34294.
Texto completoErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. Office of Scientific and Technical Information (OSTI), agosto de 2006. http://dx.doi.org/10.2172/907881.
Texto completoErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. US: University Of Alabama, marzo de 2004. http://dx.doi.org/10.2172/898354.
Texto completoErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. US: University Of Alabama, diciembre de 2004. http://dx.doi.org/10.2172/898355.
Texto completoErnest A. Mancini, William C. Parcell y Bruce S. Hart. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. Office of Scientific and Technical Information (OSTI), marzo de 2006. http://dx.doi.org/10.2172/877656.
Texto completoErnest A. Mancini. T-R CYCLE CHARACTERIZATION AND IMAGING: ADVANCED DIAGNOSTIC METHODOLOGY FOR PETROLEUM RESERVOIR AND TRAP DETECTION AND DELINEATION. Office of Scientific and Technical Information (OSTI), septiembre de 2004. http://dx.doi.org/10.2172/834185.
Texto completoErnest A. Mancini, William C. Parcell y Bruce S. Hart. T-R CYCLE CHARACTERIZATION AND IMAGING: ADVANCED DIAGNOSTIC METHODOLOGY FOR PETROLEUM RESERVOIR AND TRAP DETECTION AND DELINEATION. Office of Scientific and Technical Information (OSTI), marzo de 2004. http://dx.doi.org/10.2172/840256.
Texto completoErnest A. Mancini. T-R CYCLE CHARACTERIZATION AND IMAGING: ADVANCED DIAGNOSTIC METHODOLOGY FOR PETROLEUM RESERVOIR AND TRAP DETECTION AND DELINEATION. Office of Scientific and Technical Information (OSTI), junio de 2004. http://dx.doi.org/10.2172/829959.
Texto completoErnest A. Mancini. T-R CYCLE CHARACTERIZATION AND IMAGING: ADVANCED DIAGNOSTIC METHODOLOGY FOR PETROLEUM RESERVOIR AND TRAP DETECTION AND DELINEATION. Office of Scientific and Technical Information (OSTI), junio de 2005. http://dx.doi.org/10.2172/840803.
Texto completoErnest A. Mancini, William C. Parcell y Bruce S. Hart. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. Office of Scientific and Technical Information (OSTI), septiembre de 2005. http://dx.doi.org/10.2172/859241.
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