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Artykuły w czasopismach na temat "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 i D. Craig Rudolph. "Searching for rare and secretive snakes: are camera-trap and box-trap methods interchangeable?" Wildlife Research 47, nr 6 (2020): 476. http://dx.doi.org/10.1071/wr19230.
Pełny tekst źródłaMcIntyre, T., T. L. Majelantle, D. J. Slip i R. G. Harcourt. "Quantifying imperfect camera-trap detection probabilities: implications for density modelling". Wildlife Research 47, nr 2 (2020): 177. http://dx.doi.org/10.1071/wr19040.
Pełny tekst źródłaWelsh, Taylor J., Daniel Bentall, Connor Kwon i Flore Mas. "Automated Surveillance of Lepidopteran Pests with Smart Optoelectronic Sensor Traps". Sustainability 14, nr 15 (4.08.2022): 9577. http://dx.doi.org/10.3390/su14159577.
Pełny tekst źródłaStokeld, Danielle, Anke S. K. Frank, Brydie Hill, Jenni Low Choy, Terry Mahney, Alys Stevens, Stuart Young, Djelk Rangers, Warddeken Rangers i 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, nr 8 (2015): 642. http://dx.doi.org/10.1071/wr15083.
Pełny tekst źródłaWilton, Clay M., Jeff Beringer, Emily E. Puckett, Lori S. Eggert i Jerrold L. Belant. "Spatiotemporal factors affecting detection of black bears during noninvasive capture–recapture surveys". Journal of Mammalogy 97, nr 1 (16.11.2015): 266–73. http://dx.doi.org/10.1093/jmammal/gyv176.
Pełny tekst źródłaHahn, Federico, Salvador Valle, Roberto Rendón, Oneyda Oyorzabal i Alondra Astudillo. "Mango Fruit Fly Trap Detection Using Different Wireless Communications". Agronomy 13, nr 7 (28.06.2023): 1736. http://dx.doi.org/10.3390/agronomy13071736.
Pełny tekst źródłaMoll, Remington J., Waldemar Ortiz-Calo, Jonathon D. Cepek, Patrick D. Lorch, Patricia M. Dennis, Terry Robison i Robert A. Montgomery. "The effect of camera-trap viewshed obstruction on wildlife detection: implications for inference". Wildlife Research 47, nr 2 (2020): 158. http://dx.doi.org/10.1071/wr19004.
Pełny tekst źródłaLevi-Zada, A., A. Sadowsky, S. Dobrinin, T. Ticuchinski, M. David, D. Fefer, E. Dunkelblum i J. A. Byers. "Monitoring and mass-trapping methodologies using pheromones: the lesser date moth Batrachedra amydraula". Bulletin of Entomological Research 108, nr 1 (11.05.2017): 58–68. http://dx.doi.org/10.1017/s0007485317000487.
Pełny tekst źródłaHuang, Renjie, Tingshan Yao, Cheng Zhan, Geng Zhang i Yongqiang Zheng. "A Motor-Driven and Computer Vision-Based Intelligent E-Trap for Monitoring Citrus Flies". Agriculture 11, nr 5 (19.05.2021): 460. http://dx.doi.org/10.3390/agriculture11050460.
Pełny tekst źródłaRamsey, Dave, Murray Efford, Steve Ball i Graham Nugent. "The evaluation of indices of animal abundance using spatial simulation of animal trapping". Wildlife Research 32, nr 3 (2005): 229. http://dx.doi.org/10.1071/wr03119.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaMurray, Jacolin Ann. "High Flow Air Sampling for Field Detection Using Gas Chromatography-Mass Spectrometry". BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2414.
Pełny tekst źródłaSudholz, 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.
Pełny tekst źródłaGoeders, James E. "Resolved sideband spectroscopy for the detection of weak optical transitions". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49082.
Pełny tekst źródłaKracke, 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.
Pełny tekst źródłaArnesson, Pontus, i 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.
Pełny tekst źródłaCummings, 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.
Pełny tekst źródłaHeck, Michael [Verfasser], i 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.
Pełny tekst źródłaChalkha, 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.
Pełny tekst źródłaAnđelković, 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.
Pełny tekst źródłaKsiążki na temat "Trap detection"
Cross, Amanda. A trap for fools. New York, USA: Ballantine, 1990.
Znajdź pełny tekst źródłaCross, Amanda. A trap for fools. Boston, Mass: G.K. Hall, 1990.
Znajdź pełny tekst źródłaCross, Amanda. A trap for fools. New York: Dutton, 1989.
Znajdź pełny tekst źródłaSprings, David W. How to outfox the bears: Beating the radar speed trap. Osceola, Wis., USA: Motorbooks International, 1987.
Znajdź pełny tekst źródłaH, LaGasa Eric, Washington (State). Dept. of Agriculture. Laboratory Services Division. i Washington State Library. Electronic State Publications., red. 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.
Znajdź pełny tekst źródłaH, LaGasa Eric, Washington (State). Plant Protection Division. i Washington State Library. Electronic State Publications., red. 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.
Znajdź pełny tekst źródłaH, LaGasa Eric, Washington (State). Plant Protection Division. i Washington State Library. Electronic State Publications., red. 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.
Znajdź pełny tekst źródłaLaGasa, 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.
Znajdź pełny tekst źródłaUnited States. Animal and Plant Health Inspection Service. Plant Protection and Quarantine Programs., red. Exotic pest detection manual. [Beltsville, Md.?]: APHIS Plant Protection and Quarantine, 1986.
Znajdź pełny tekst źródłaNixon, Joan Lowery. The Trap. New York: Delacorte Press, 2002.
Znajdź pełny tekst źródłaCzęści książek na temat "Trap detection"
He, Shibo, Jiming Chen, Junkun Li i Youxian Sun. "Energy-Efficient Trap Coverage in Sensor Networks". W 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.
Pełny tekst źródłaWang, Chun-Chia, H. W. Lin, Timothy K. Shih i Wonjun Lee. "Automatic Trap Detection of Ubiquitous Learning on SCORM Sequencing". W Ubiquitous Intelligence and Computing, 1164–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_117.
Pełny tekst źródłaFigueroa, Karina, Antonio Camarena-Ibarrola, Jonathan García i Héctor Tejeda Villela. "Fast Automatic Detection of Wildlife in Images from Trap Cameras". W Advanced Information Systems Engineering, 940–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_114.
Pełny tekst źródłaMeats, A. "Fruit Fly Detection Programs: The Potentials and Limitations of Trap Arrays". W 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.
Pełny tekst źródłaBrockerhoff, Eckehard G., Juan C. Corley, Hervé Jactel, Daniel R. Miller, Robert J. Rabaglia i Jon Sweeney. "Monitoring and Surveillance of Forest Insects". W Forest Entomology and Pathology, 669–705. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11553-0_19.
Pełny tekst źródłaAnand, P. Mohan, P. V. Sai Charan, Hrushikesh Chunduri i Sandeep K. Shukla. "RTR-Shield: Early Detection of Ransomware Using Registry and Trap Files". W Information Security Practice and Experience, 209–29. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7032-2_13.
Pełny tekst źródłaBlaum, Klaus, i Günter Werth. "Precision Physics in Penning Traps Using the Continuous Stern-Gerlach Effect". W 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.
Pełny tekst źródłaTonouchi, M., M. Hangyo, J. Ramos, R. Ijsselsteijn, V. Schultze, H. G. Meyer i H. E. Hoenig. "Design of Superconductive Optical Flux Trap Memory for Femtosecond Laser Pulse Detection". W Advances in Superconductivity XI, 1297–300. Tokyo: Springer Japan, 1999. http://dx.doi.org/10.1007/978-4-431-66874-9_304.
Pełny tekst źródłaBrandl, Martin, M. Mayer, C. Fabian i D. Falkenhagen. "Optical detection of ferromagnetic and fluorescently labeled microparticles, simulation of a magnetic trap". W 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.
Pełny tekst źródłaWhitley, Kevin D., Matthew J. Comstock i Yann R. Chemla. "High-Resolution “Fleezers”: Dual-Trap Optical Tweezers Combined with Single-Molecule Fluorescence Detection". W Optical Tweezers, 183–256. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6421-5_8.
Pełny tekst źródłaStreszczenia konferencji na temat "Trap detection"
Ramkaow, Tanutpong, Surangkana Philaphang, Peerapakorn Phornphikun i Jirawath Parnklang. "Mosquitoes Flapping Detection Electrocuting Trap". W 2022 7th International Conference on Control and Robotics Engineering (ICCRE). IEEE, 2022. http://dx.doi.org/10.1109/iccre55123.2022.9770258.
Pełny tekst źródłaXu, Zhongke, Liang Sun, Xinwei Wang, Han Dong, Pingshun Lei i Yan Zhou. "Binocular camera trap for wildlife detection". W Optoelectronic Imaging and Multimedia Technology VI, redaktorzy Qionghai Dai, Tsutomu Shimura i Zhenrong Zheng. SPIE, 2019. http://dx.doi.org/10.1117/12.2537428.
Pełny tekst źródłaN, Veena, Mahalakshmi S i OmBhargava. "Human Trap Detection using Convolution Neural Networks". W 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2023. http://dx.doi.org/10.1109/iccmc56507.2023.10083927.
Pełny tekst źródłaGu, Tong, Min Han, Songlin He i Xiaotong Chen. "Trap Contract Detection in Blockchain with Improved Transformer". W GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10437216.
Pełny tekst źródłaLoos, Alexander, Christian Weigel i Mona Koehler. "Towards Automatic Detection of Animals in Camera-Trap Images". W 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553439.
Pełny tekst źródłaChunlong, Fan, Yu Zhouhua i Xu Lei. "An evaluating method of spider detection techniques by trap". W 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497315.
Pełny tekst źródłaLermer, N., M. D. Barnes, C.-Y. Kung, W. B. Whitten i J. M. Ramsey. "High-Speed Single Molecule Detection in Microdroplet Streams". W Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/lacea.1996.lwb.7.
Pełny tekst źródłaTekeli, Ulas, i Yalin Bastanlar. "Detection of images with animals in raw camera-trap data". W 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404214.
Pełny tekst źródłaSchneider, Stefan, Graham W. Taylor i Stefan Kremer. "Deep Learning Object Detection Methods for Ecological Camera Trap Data". W 2018 15th Conference on Computer and Robot Vision (CRV). IEEE, 2018. http://dx.doi.org/10.1109/crv.2018.00052.
Pełny tekst źródłaXu, Xiaoxiao, Zhenyu Li, Nalinikanth Kotagiri, Pinaki Sarder, Samuel Achilefu i Arye Nehorai. "Microfluidic microsphere-trap arrays for simultaneous detection of multiple targets". W SPIE MOEMS-MEMS, redaktorzy Holger Becker i Bonnie L. Gray. SPIE, 2013. http://dx.doi.org/10.1117/12.2006628.
Pełny tekst źródłaRaporty organizacyjne na temat "Trap detection"
Lammert, S. A., R. Merriweather, E. W. Sarver i M. B. Wasseman. Detection of chemical agents, precursors and by-products using ion trap technology. Office of Scientific and Technical Information (OSTI), grudzień 1994. http://dx.doi.org/10.2172/34294.
Pełny tekst źródłaErnest 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), sierpień 2006. http://dx.doi.org/10.2172/907881.
Pełny tekst źródłaErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. US: University Of Alabama, marzec 2004. http://dx.doi.org/10.2172/898354.
Pełny tekst źródłaErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. US: University Of Alabama, grudzień 2004. http://dx.doi.org/10.2172/898355.
Pełny tekst źródłaErnest A. Mancini, William C. Parcell i 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), marzec 2006. http://dx.doi.org/10.2172/877656.
Pełny tekst źródłaErnest 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), wrzesień 2004. http://dx.doi.org/10.2172/834185.
Pełny tekst źródłaErnest A. Mancini, William C. Parcell i 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), marzec 2004. http://dx.doi.org/10.2172/840256.
Pełny tekst źródłaErnest 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), czerwiec 2004. http://dx.doi.org/10.2172/829959.
Pełny tekst źródłaErnest 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), czerwiec 2005. http://dx.doi.org/10.2172/840803.
Pełny tekst źródłaErnest A. Mancini, William C. Parcell i 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), wrzesień 2005. http://dx.doi.org/10.2172/859241.
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