Auswahl der wissenschaftlichen Literatur zum Thema „Trap detection“
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Zeitschriftenartikel zum Thema "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 und 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.
Der volle Inhalt der QuelleMcIntyre, T., T. L. Majelantle, D. J. Slip und 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.
Der volle Inhalt der QuelleWelsh, Taylor J., Daniel Bentall, Connor Kwon und Flore Mas. „Automated Surveillance of Lepidopteran Pests with Smart Optoelectronic Sensor Traps“. Sustainability 14, Nr. 15 (04.08.2022): 9577. http://dx.doi.org/10.3390/su14159577.
Der volle Inhalt der QuelleStokeld, Danielle, Anke S. K. Frank, Brydie Hill, Jenni Low Choy, Terry Mahney, Alys Stevens, Stuart Young, Djelk Rangers, Warddeken Rangers und 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.
Der volle Inhalt der QuelleWilton, Clay M., Jeff Beringer, Emily E. Puckett, Lori S. Eggert und 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.
Der volle Inhalt der QuelleHahn, Federico, Salvador Valle, Roberto Rendón, Oneyda Oyorzabal und 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.
Der volle Inhalt der QuelleMoll, Remington J., Waldemar Ortiz-Calo, Jonathon D. Cepek, Patrick D. Lorch, Patricia M. Dennis, Terry Robison und 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.
Der volle Inhalt der QuelleLevi-Zada, A., A. Sadowsky, S. Dobrinin, T. Ticuchinski, M. David, D. Fefer, E. Dunkelblum und 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.
Der volle Inhalt der QuelleHuang, Renjie, Tingshan Yao, Cheng Zhan, Geng Zhang und 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.
Der volle Inhalt der QuelleRamsey, Dave, Murray Efford, Steve Ball und 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.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleMurray, Jacolin Ann. „High Flow Air Sampling for Field Detection Using Gas Chromatography-Mass Spectrometry“. BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2414.
Der volle Inhalt der QuelleSudholz, 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.
Der volle Inhalt der QuelleGoeders, James E. „Resolved sideband spectroscopy for the detection of weak optical transitions“. Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49082.
Der volle Inhalt der QuelleKracke, 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.
Der volle Inhalt der QuelleArnesson, Pontus, und 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.
Der volle Inhalt der QuelleCummings, 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.
Der volle Inhalt der QuelleHeck, Michael [Verfasser], und 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.
Der volle Inhalt der QuelleChalkha, 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.
Der volle Inhalt der QuelleAnđelković, 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.
Der volle Inhalt der QuelleBücher zum Thema "Trap detection"
Cross, Amanda. A trap for fools. New York, USA: Ballantine, 1990.
Den vollen Inhalt der Quelle findenCross, Amanda. A trap for fools. Boston, Mass: G.K. Hall, 1990.
Den vollen Inhalt der Quelle findenCross, Amanda. A trap for fools. New York: Dutton, 1989.
Den vollen Inhalt der Quelle findenSprings, David W. How to outfox the bears: Beating the radar speed trap. Osceola, Wis., USA: Motorbooks International, 1987.
Den vollen Inhalt der Quelle findenH, LaGasa Eric, Washington (State). Dept. of Agriculture. Laboratory Services Division. und Washington State Library. Electronic State Publications., Hrsg. 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.
Den vollen Inhalt der Quelle findenH, LaGasa Eric, Washington (State). Plant Protection Division. und Washington State Library. Electronic State Publications., Hrsg. 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.
Den vollen Inhalt der Quelle findenH, LaGasa Eric, Washington (State). Plant Protection Division. und Washington State Library. Electronic State Publications., Hrsg. 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.
Den vollen Inhalt der Quelle findenLaGasa, 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.
Den vollen Inhalt der Quelle findenUnited States. Animal and Plant Health Inspection Service. Plant Protection and Quarantine Programs., Hrsg. Exotic pest detection manual. [Beltsville, Md.?]: APHIS Plant Protection and Quarantine, 1986.
Den vollen Inhalt der Quelle findenThe Trap. New York: Delacorte Press, 2002.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Trap detection"
He, Shibo, Jiming Chen, Junkun Li und Youxian Sun. „Energy-Efficient Trap Coverage in Sensor Networks“. In 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.
Der volle Inhalt der QuelleWang, Chun-Chia, H. W. Lin, Timothy K. Shih und Wonjun Lee. „Automatic Trap Detection of Ubiquitous Learning on SCORM Sequencing“. In Ubiquitous Intelligence and Computing, 1164–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_117.
Der volle Inhalt der QuelleFigueroa, Karina, Antonio Camarena-Ibarrola, Jonathan García und Héctor Tejeda Villela. „Fast Automatic Detection of Wildlife in Images from Trap Cameras“. In Advanced Information Systems Engineering, 940–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_114.
Der volle Inhalt der QuelleMeats, A. „Fruit Fly Detection Programs: The Potentials and Limitations of Trap Arrays“. In 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.
Der volle Inhalt der QuelleBrockerhoff, Eckehard G., Juan C. Corley, Hervé Jactel, Daniel R. Miller, Robert J. Rabaglia und Jon Sweeney. „Monitoring and Surveillance of Forest Insects“. In Forest Entomology and Pathology, 669–705. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11553-0_19.
Der volle Inhalt der QuelleAnand, P. Mohan, P. V. Sai Charan, Hrushikesh Chunduri und Sandeep K. Shukla. „RTR-Shield: Early Detection of Ransomware Using Registry and Trap Files“. In Information Security Practice and Experience, 209–29. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7032-2_13.
Der volle Inhalt der QuelleBlaum, Klaus, und Günter Werth. „Precision Physics in Penning Traps Using the Continuous Stern-Gerlach Effect“. In 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.
Der volle Inhalt der QuelleTonouchi, M., M. Hangyo, J. Ramos, R. Ijsselsteijn, V. Schultze, H. G. Meyer und H. E. Hoenig. „Design of Superconductive Optical Flux Trap Memory for Femtosecond Laser Pulse Detection“. In Advances in Superconductivity XI, 1297–300. Tokyo: Springer Japan, 1999. http://dx.doi.org/10.1007/978-4-431-66874-9_304.
Der volle Inhalt der QuelleBrandl, Martin, M. Mayer, C. Fabian und D. Falkenhagen. „Optical detection of ferromagnetic and fluorescently labeled microparticles, simulation of a magnetic trap“. In 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.
Der volle Inhalt der QuelleWhitley, Kevin D., Matthew J. Comstock und Yann R. Chemla. „High-Resolution “Fleezers”: Dual-Trap Optical Tweezers Combined with Single-Molecule Fluorescence Detection“. In Optical Tweezers, 183–256. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6421-5_8.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Trap detection"
Ramkaow, Tanutpong, Surangkana Philaphang, Peerapakorn Phornphikun und Jirawath Parnklang. „Mosquitoes Flapping Detection Electrocuting Trap“. In 2022 7th International Conference on Control and Robotics Engineering (ICCRE). IEEE, 2022. http://dx.doi.org/10.1109/iccre55123.2022.9770258.
Der volle Inhalt der QuelleXu, Zhongke, Liang Sun, Xinwei Wang, Han Dong, Pingshun Lei und Yan Zhou. „Binocular camera trap for wildlife detection“. In Optoelectronic Imaging and Multimedia Technology VI, herausgegeben von Qionghai Dai, Tsutomu Shimura und Zhenrong Zheng. SPIE, 2019. http://dx.doi.org/10.1117/12.2537428.
Der volle Inhalt der QuelleN, Veena, Mahalakshmi S und OmBhargava. „Human Trap Detection using Convolution Neural Networks“. In 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2023. http://dx.doi.org/10.1109/iccmc56507.2023.10083927.
Der volle Inhalt der QuelleGu, Tong, Min Han, Songlin He und Xiaotong Chen. „Trap Contract Detection in Blockchain with Improved Transformer“. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10437216.
Der volle Inhalt der QuelleLoos, Alexander, Christian Weigel und Mona Koehler. „Towards Automatic Detection of Animals in Camera-Trap Images“. In 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553439.
Der volle Inhalt der QuelleChunlong, Fan, Yu Zhouhua und Xu Lei. „An evaluating method of spider detection techniques by trap“. In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497315.
Der volle Inhalt der QuelleLermer, N., M. D. Barnes, C.-Y. Kung, W. B. Whitten und J. M. Ramsey. „High-Speed Single Molecule Detection in Microdroplet Streams“. In Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/lacea.1996.lwb.7.
Der volle Inhalt der QuelleTekeli, Ulas, und Yalin Bastanlar. „Detection of images with animals in raw camera-trap data“. In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404214.
Der volle Inhalt der QuelleSchneider, Stefan, Graham W. Taylor und Stefan Kremer. „Deep Learning Object Detection Methods for Ecological Camera Trap Data“. In 2018 15th Conference on Computer and Robot Vision (CRV). IEEE, 2018. http://dx.doi.org/10.1109/crv.2018.00052.
Der volle Inhalt der QuelleXu, Xiaoxiao, Zhenyu Li, Nalinikanth Kotagiri, Pinaki Sarder, Samuel Achilefu und Arye Nehorai. „Microfluidic microsphere-trap arrays for simultaneous detection of multiple targets“. In SPIE MOEMS-MEMS, herausgegeben von Holger Becker und Bonnie L. Gray. SPIE, 2013. http://dx.doi.org/10.1117/12.2006628.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Trap detection"
Lammert, S. A., R. Merriweather, E. W. Sarver und M. B. Wasseman. Detection of chemical agents, precursors and by-products using ion trap technology. Office of Scientific and Technical Information (OSTI), Dezember 1994. http://dx.doi.org/10.2172/34294.
Der volle Inhalt der QuelleErnest 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), August 2006. http://dx.doi.org/10.2172/907881.
Der volle Inhalt der QuelleErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. US: University Of Alabama, März 2004. http://dx.doi.org/10.2172/898354.
Der volle Inhalt der QuelleErnest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. US: University Of Alabama, Dezember 2004. http://dx.doi.org/10.2172/898355.
Der volle Inhalt der QuelleErnest A. Mancini, William C. Parcell und 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), März 2006. http://dx.doi.org/10.2172/877656.
Der volle Inhalt der QuelleErnest 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), September 2004. http://dx.doi.org/10.2172/834185.
Der volle Inhalt der QuelleErnest A. Mancini, William C. Parcell und 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), März 2004. http://dx.doi.org/10.2172/840256.
Der volle Inhalt der QuelleErnest 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), Juni 2004. http://dx.doi.org/10.2172/829959.
Der volle Inhalt der QuelleErnest 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), Juni 2005. http://dx.doi.org/10.2172/840803.
Der volle Inhalt der QuelleErnest A. Mancini, William C. Parcell und 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), September 2005. http://dx.doi.org/10.2172/859241.
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