Academic literature on the topic 'Trap detection'

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Journal articles on the topic "Trap detection"

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Devine, Sarah M., Everett G. Booth, Miriam F. Cooperband, et al. "A “Sconce” Trap for Sampling Egg Masses of Spotted Lanternfly, Lycorma delicatula." Insects 16, no. 7 (2025): 689. https://doi.org/10.3390/insects16070689.

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Survey and detection of the spotted lanternfly, Lycorma delicatula (White), rely either on traps that exploit the insect’s behavior as it navigates its environment, or on visual surveys of either its mobile life stages or egg masses. A recently described egg mass trap, coined the “lampshade” trap, can assist with early detection in newly infested areas, provide egg masses for researchers, and potentially facilitate spotted lanternfly population reduction by removal of egg masses from the environment. Here, we describe a modified lampshade trap, the sconce trap, that uses less material, can be
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Neuharth, Dalton B., Wade A. Ryberg, Connor S. Adams, et al. "Searching for rare and secretive snakes: are camera-trap and box-trap methods interchangeable?" Wildlife Research 47, no. 6 (2020): 476. http://dx.doi.org/10.1071/wr19230.

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Abstract ContextAdvancements in camera-trap technology have provided wildlife researchers with a new technique to better understand their study species. This improved method may be especially useful for many conservation-reliant snake species that can be difficult to detect because of rarity and life histories with secretive behaviours. AimsHere, we report the results of a 6-month camera-trapping study using time lapse-triggered camera traps to detect snakes, in particular the federally listed Louisiana pinesnake (Pituophis ruthveni) in eastern Texas upland forests in the USA. MethodsSo as to
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McIntyre, T., T. L. Majelantle, D. J. Slip, and R. G. Harcourt. "Quantifying imperfect camera-trap detection probabilities: implications for density modelling." Wildlife Research 47, no. 2 (2020): 177. http://dx.doi.org/10.1071/wr19040.

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Abstract ContextData obtained from camera traps are increasingly used to inform various population-level models. Although acknowledged, imperfect detection probabilities within camera-trap detection zones are rarely taken into account when modelling animal densities. AimsWe aimed to identify parameters influencing camera-trap detection probabilities, and quantify their relative impacts, as well as explore the downstream implications of imperfect detection probabilities on population-density modelling. MethodsWe modelled the relationships between the detection probabilities of a standard camera
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Welsh, Taylor J., Daniel Bentall, Connor Kwon, and Flore Mas. "Automated Surveillance of Lepidopteran Pests with Smart Optoelectronic Sensor Traps." Sustainability 14, no. 15 (2022): 9577. http://dx.doi.org/10.3390/su14159577.

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Several lepidopterans are pests in horticulture and pose biosecurity risks to trading countries worldwide. Efficient species-specific semiochemical lures are available for some of these pests, facilitating the implementation of surveillance programmes via trapping networks. These networks have a long history of success in detecting incursions of invasive species; however, their reliance on manual trap inspections makes these surveillance programmes expensive to run. Novel smart traps integrating sensor technology are being developed to detect insects automatically but are so far limited to exp
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Berry, Nicholas, Will O'connor, Marc W. Holderied, and Gareth Jones. "Detection and Avoidance of Harp Traps by Echolocating Bats." Acta Chiropterologica 6, no. 2 (2004): 335–46. https://doi.org/10.5281/zenodo.13520437.

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(Uploaded by Plazi for the Bat Literature Project) Researchers often use harp traps and mist nets to capture bats, and need to be aware of factors that affect trap capture efficiency. Ultrasound reflects from small targets in a frequency-dependent manner, so we predicted that higher frequency sound pulses would return stronger echoes from the fine wires and net of bat traps than would lower frequency signals. We also predicted that mist nets would return stronger echoes than harp traps because mist nets are made of a higher density (and often diameter) of material. Ensonification experiments w
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Berry, Nicholas, Will O'connor, Marc W. Holderied, and Gareth Jones. "Detection and Avoidance of Harp Traps by Echolocating Bats." Acta Chiropterologica 6, no. 2 (2004): 335–46. https://doi.org/10.5281/zenodo.13520437.

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(Uploaded by Plazi for the Bat Literature Project) Researchers often use harp traps and mist nets to capture bats, and need to be aware of factors that affect trap capture efficiency. Ultrasound reflects from small targets in a frequency-dependent manner, so we predicted that higher frequency sound pulses would return stronger echoes from the fine wires and net of bat traps than would lower frequency signals. We also predicted that mist nets would return stronger echoes than harp traps because mist nets are made of a higher density (and often diameter) of material. Ensonification experiments w
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Berry, Nicholas, Will O'connor, Marc W. Holderied, and Gareth Jones. "Detection and Avoidance of Harp Traps by Echolocating Bats." Acta Chiropterologica 6, no. 2 (2004): 335–46. https://doi.org/10.5281/zenodo.13520437.

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(Uploaded by Plazi for the Bat Literature Project) Researchers often use harp traps and mist nets to capture bats, and need to be aware of factors that affect trap capture efficiency. Ultrasound reflects from small targets in a frequency-dependent manner, so we predicted that higher frequency sound pulses would return stronger echoes from the fine wires and net of bat traps than would lower frequency signals. We also predicted that mist nets would return stronger echoes than harp traps because mist nets are made of a higher density (and often diameter) of material. Ensonification experiments w
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Berry, Nicholas, Will O'connor, Marc W. Holderied, and Gareth Jones. "Detection and Avoidance of Harp Traps by Echolocating Bats." Acta Chiropterologica 6, no. 2 (2004): 335–46. https://doi.org/10.5281/zenodo.13520437.

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(Uploaded by Plazi for the Bat Literature Project) Researchers often use harp traps and mist nets to capture bats, and need to be aware of factors that affect trap capture efficiency. Ultrasound reflects from small targets in a frequency-dependent manner, so we predicted that higher frequency sound pulses would return stronger echoes from the fine wires and net of bat traps than would lower frequency signals. We also predicted that mist nets would return stronger echoes than harp traps because mist nets are made of a higher density (and often diameter) of material. Ensonification experiments w
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Sweeney, Jon, Wentao Gao, Jerzy M. Gutowski, et al. "Diversity in trap color and height increases species richness of bark and woodboring beetles detected in multiple funnel traps." PLOS One 20, no. 5 (2025): e0322412. https://doi.org/10.1371/journal.pone.0322412.

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Early detection of non-native, potentially invasive bark beetles and woodboring beetles (BBWB) (Coleoptera: Buprestidae, Cerambycidae, Disteniidae; Curculionidae: Scolytinae) inadvertently introduced to new habitats via global trade is a critical issue for regulatory agencies in numerous countries. We conducted trapping experiments to evaluate the effects of trap color (black vs. green vs. purple) and trap height (canopy vs. understory) on detection of BBWB in Canada, Poland, USA, and China, using Fluon-treated 12-unit multiple-funnel traps. Each trap was baited with the same pheromone and eth
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Stokeld, Danielle, Anke S. K. Frank, Brydie Hill, et al. "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, no. 8 (2015): 642. http://dx.doi.org/10.1071/wr15083.

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Context Feral cats are a major cause of mammal declines and extinctions in Australia. However, cats are elusive and obtaining reliable ecological data is challenging. Although camera traps are increasingly being used to study feral cats, their successful use in northern Australia has been limited. Aims We evaluated the efficacy of camera-trap sampling designs for detecting cats in the tropical savanna of northern Australia. We aimed to develop a camera-trapping method that would yield detection probabilities adequate for precise occupancy estimates. Methods First, we assessed the influence of
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Dissertations / Theses on the topic "Trap detection"

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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.

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Monitoring wildlife is of great interest to ecologists and is arguably even more important in the Arctic, the region in focus for the research network INTERACT, where the effects of climate change are greater than on the rest of the planet. This master thesis studies how artificial intelligence (AI) and computer vision can be used together with camera traps to achieve an effective way to monitor populations. The study uses an image data set, containing both humans and animals. The images were taken by camera traps from ECN Cairngorms, a station in the INTERACT network. The goal of the project
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Murray, Jacolin Ann. "High Flow Air Sampling for Field Detection Using Gas Chromatography-Mass Spectrometry." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2414.

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The ability to rapidly detect and identify hazardous analytes in the field has become increasingly important. One of the most important analytical detection methods in the field is gas chromatography-mass spectrometry (GC-MS). In this work, a hand-portable GC-MS system is described that contains a miniature toroidal ion trap mass analyzer and a low thermal mass GC. The system is self-contained within the dimensions of 47 x 36 x 18 cm and weighs less than 13 kg. Because the instrument has a small footprint, it was used as the detector for an automated near-real-time permeation testing system. I
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Sudholz, 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.

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To effectively manage the growing population of invasive deer in Australia, adequate monitoring techniques are essential. Traditional methods of detecting and monitoring deer such as scat surveys, spotlighting, or piloted aerial surveys can be expensive and time consuming. To overcome these issues, camera traps and remotely piloted aircraft systems (RPAS or drones) are increasingly being used to detect and monitor deer populations. This thesis presents a new method for assessing the imagery provided by RPAS and camera traps using Machine Learning, reducing the time and cost of assessing deer p
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Goeders, James E. "Resolved sideband spectroscopy for the detection of weak optical transitions." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49082.

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This thesis reports on the setup of a new ion trap apparatus designed for experiments with single ⁴⁰Ca⁺ ions to perform molecular spectroscopy. The calcium ion is laser cooled, allowing for sympathetic cooling of the nonfluorescing molecular ion. The aim of these experiments is to explore loading and identifying molecular ions in RF-Paul traps, as well as developing new spectroscopic tools to measure transitions of molecular ions via the fluorescence of co-trapped ⁴⁰Ca⁺ ions. Ground state cooling of a mixed ion pair is implemented as a first step towards increasing the sensitivity of our tec
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Kracke, 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.

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Arnesson, Pontus, and 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.

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This thesis presents how deep learning can be utilized for detecting humans ina wildlife setting using image classification. Two different solutions have beenimplemented where both of them use a camera-equipped microprocessor to cap-ture the images. In one of the solutions, the deep learning model is run on themicroprocessor itself, which requires the size of the model to be as small as pos-sible. The other solution sends images from the microprocessor to a more pow-erful computer where a larger object detection model is run. Both solutions areevaluated using standard image classification metr
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Cummings, 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.

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Heck, Michael [Verfasser], and 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.

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Chalkha, 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.

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Anđelković, 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.

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Books on the topic "Trap detection"

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Cross, Amanda. A trap for fools. G.K. Hall, 1990.

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Springs, David W. How to outfox the bears: Beating the radar speed trap. Motorbooks International, 1987.

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H, LaGasa Eric, Washington (State). Dept. of Agriculture. Laboratory Services Division., and Washington State Library. Electronic State Publications., eds. 2001 Western Washington exotic pest detection survey: A pheromone-trap survey for proeulia spp. (lepidoptera: tortricidae). Laboratory Services Division, Pest Program, Washington State Dept. of Agriculture, 2001.

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H, LaGasa Eric, Washington (State). Plant Protection Division., and 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. Plant Protection Divison, Pest Program, Washington State Dept. of Agriculture, 2003.

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H, LaGasa Eric, Washington (State). Plant Protection Division., and 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. Plant Protection Divison, Pest Program, Washington State Dept. of Agriculture, 2003.

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LaGasa, 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. Plant Protection Divison, Pest Program, Washington State Dept. of Agriculture, 2003.

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United States. Animal and Plant Health Inspection Service. Plant Protection and Quarantine Programs., ed. Exotic pest detection manual. APHIS Plant Protection and Quarantine, 1986.

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Peter, O'Donnell. Cobra Trap. Souvenir Press, 2006.

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Peter, O'Donnell. Cobra Trap. Ulverscroft, 2001.

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Peter, O'Donnell. Cobra Trap. Penguin Books India, 2007.

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Book chapters on the topic "Trap detection"

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He, Shibo, Jiming Chen, Junkun Li, and Youxian Sun. "Energy-Efficient Trap Coverage in Sensor Networks." In Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04648-8_3.

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Brodbelt, Jennifer S. "Effects of Collisional Cooling on Ion Detection." In Practical Aspects of Ion Trap Mass Spectrometry, Volume I. CRC Press, 2024. http://dx.doi.org/10.1201/9781003574200-7.

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Wang, Chun-Chia, H. W. Lin, Timothy K. Shih, and Wonjun Lee. "Automatic Trap Detection of Ubiquitous Learning on SCORM Sequencing." In Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_117.

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Figueroa, Karina, Antonio Camarena-Ibarrola, Jonathan García, and Héctor Tejeda Villela. "Fast Automatic Detection of Wildlife in Images from Trap Cameras." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_114.

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Meats, A. "Fruit Fly Detection Programs: The Potentials and Limitations of Trap Arrays." In Trapping and the Detection, Control, and Regulation of Tephritid Fruit Flies. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9193-9_8.

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Brockerhoff, Eckehard G., Juan C. Corley, Hervé Jactel, Daniel R. Miller, Robert J. Rabaglia, and Jon Sweeney. "Monitoring and Surveillance of Forest Insects." In Forest Entomology and Pathology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11553-0_19.

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AbstractMonitoring of insect populations is widely used in forest entomology in the context of biodiversity studies, as an aspect of pest management, and for the detection and surveillance of non-native invasive species. In particular, monitoring is undertaken to obtain information on the presence or abundance of particular species, to study their phenology (e.g. the time of oviposition or flight periods), to predict pest population size, spread and damage, or to determine if pest management activities are required. A wide variety of methods are being used for these purposes including physical
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Anand, P. Mohan, P. V. Sai Charan, Hrushikesh Chunduri, and Sandeep K. Shukla. "RTR-Shield: Early Detection of Ransomware Using Registry and Trap Files." In Information Security Practice and Experience. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7032-2_13.

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Blaum, Klaus, and Günter Werth. "Precision Physics in Penning Traps Using the Continuous Stern-Gerlach Effect." In Molecular Beams in Physics and Chemistry. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63963-1_13.

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Abstract“A single atomic particle forever floating at rest in free space” (H. Dehmelt) would be the ideal object for precision measurements of atomic properties and for tests of fundamental theories. Such an ideal, of course, can ultimately never be achieved. A very close approximation to this ideal is made possible by ion traps, where electromagnetic forces are used to confine charged particles under well-controlled conditions for practically unlimited time. Concurrently, sensitive detection methods have been developed to allow observation of single stored ions. Various cooling methods can be
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Tonouchi, M., M. Hangyo, J. Ramos, et al. "Design of Superconductive Optical Flux Trap Memory for Femtosecond Laser Pulse Detection." In Advances in Superconductivity XI. Springer Japan, 1999. http://dx.doi.org/10.1007/978-4-431-66874-9_304.

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de Sousa, Ester Marques, Rodrigo Luiz Ximenes, Miguel Francisco de Souza-Filho, and Talía Simões dos Santos Ximenes. "Detection and Counting of Fruit Flies (Diptera: Tephritidae) in a Smart Trap." In Smart Innovation, Systems and Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66961-3_7.

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Conference papers on the topic "Trap detection"

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Wang, Yizhen, Junlin Wang, and Yi Shang. "New Methods for Animal Detection in Camera Trap Image Sequences." In 2024 IEEE Intelligent Mobile Computing (MobileCloud). IEEE, 2024. http://dx.doi.org/10.1109/mobilecloud62079.2024.00012.

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Kapetas, Dimitrios, Panagiotis Christakakis, Valerio Goglia, and Eleftheria Maria Pechlivani. "AI-based robotic trap for real-time insect detection, monitoring and population prediction." In 2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS). IEEE, 2025. https://doi.org/10.1109/ipas63548.2025.10924486.

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Serate, Duane, Jeffrey Lindmark, Simon Yuen, et al. "Crack Detection of Hydrocracker Feed/Effluent Heat Exchanger Tubes." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00192.

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Abstract Non-ferromagnetic heat exchanger tubes are typically inspected using conventional eddy current bobbin probes to gather data on the integrity of the tubes. This technique provides operators with useful information on pitting and longitudinal cracks, but technical limitations of the conventional eddy current process leaves operators with limited ability to detect circumferential flaws and cracks. In this paper, extensive circumferential chloride stress corrosion cracks, originating from the tube outside diameter, were found by Eddy Current Array (ECA) in the front portion of SA 213 TP 3
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Donlan, Rodney M. "Correlation between Sulfate Reducing Bacterial Colonization and Metabolic Activity on Selected Metals in a Recirculating Cooling Water System." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92183.

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Abstract Stainless steel, mild steel, 90/10 copper nickel, and admiralty brass test surfaces were exposed in a power plant recirculating water system using a newly designed side stream test device to determine the influence of biofilm formation on sulfate reducing bacterial colonization and metabolic activity. Biofilm formation was determined by direct cell counts and scanning electron microscopy (SEM), and SRB parameters were determined using culture techniques, enzyme assays, and metabolic activity measurements. Biofilm formation occurred on all 4 metals, was patchy in nature, and these biof
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Pinappu, Sai Reddy, Kwadwo Sarpong, Corina Sandu, and Zhenning Gu. "Fast On-Site Quantification and Monitoring of Monoethanolamine in Crude Oils Using Field Asymmetric Ion Mobility Spectrometry." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-05630.

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Abstract Triazine-based hydrogen sulfide (H2S) scavengers are the most commonly used additives in the oil and gas industry. One of the reaction products of the scavenging process is an organic amine. The organic amine by-product, together with amines in slop oil and the desalter wash water, are collectively referred to as “tramp amines.” The most-common tramp amines from the H2S scavenging process are mono-ethanolamine (MEA) and methylamine (MA). These tramp amines have the potential to react with hydrochloric acid (HCl) to form corrosive amine hydrochloride salts in the crude atmospheric dist
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Ramkaow, Tanutpong, Surangkana Philaphang, Peerapakorn Phornphikun, and 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.

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Xu, Zhongke, Liang Sun, Xinwei Wang, Han Dong, Pingshun Lei, and Yan Zhou. "Binocular camera trap for wildlife detection." In Optoelectronic Imaging and Multimedia Technology VI, edited by Qionghai Dai, Tsutomu Shimura, and Zhenrong Zheng. SPIE, 2019. http://dx.doi.org/10.1117/12.2537428.

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N, Veena, Mahalakshmi S, and 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.

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Gu, Tong, Min Han, Songlin He, and 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.

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Loos, Alexander, Christian Weigel, and 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.

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Reports on the topic "Trap detection"

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Emma, Olsson. Kolinlagring med biokol : Att nyttja biokol och hydrokol som kolsänka i östra Mellansverige. Linköping University Electronic Press, 2025. https://doi.org/10.3384/9789180759496.

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Pest inventory of a field is a way of knowing when the thresholds for pest control is reached. It is of increasing interest to use machine learning to automate this process, however, many challenges arise with detection of small insects both in traps and on plants. This thesis investigates the prospects of developing an automatic warning system for notifying a user of when certain pests are detected in a trap. For this, sliding window with histogram of oriented gradients based support vector machine were implemented. Trap detection with neural network models and a check size function were test
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Lammert, S. A., R. Merriweather, E. W. Sarver, and M. B. Wasseman. Detection of chemical agents, precursors and by-products using ion trap technology. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/34294.

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Ernest 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), 2006. http://dx.doi.org/10.2172/907881.

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Ernest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. University Of Alabama, 2004. http://dx.doi.org/10.2172/898354.

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Ernest A. Mancini. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation. University Of Alabama, 2004. http://dx.doi.org/10.2172/898355.

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Ernest A. Mancini, William C. Parcell, and 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), 2006. http://dx.doi.org/10.2172/877656.

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Ernest 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), 2004. http://dx.doi.org/10.2172/834185.

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Ernest A. Mancini, William C. Parcell, and 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), 2004. http://dx.doi.org/10.2172/840256.

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Ernest 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), 2004. http://dx.doi.org/10.2172/829959.

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Ernest 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), 2005. http://dx.doi.org/10.2172/840803.

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