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Relevant bibliographies by topics / Automatic threshold

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Academic literature on the topic 'Automatic threshold'

Author: Grafiati

Published: 11 September 2023

Last updated: 26 July 2025

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Journal articles on the topic "Automatic threshold"

1

Waller, James K. "Intelligent automatic threshold circuit." Journal of the Acoustical Society of America 96, no. 1 (1994): 616. http://dx.doi.org/10.1121/1.410401.

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Zhao, Shuang Ping, Xiang Wei Li, Jing Hong Xing, and Gong Zheng. "An Wavelet Image Automatic Threshold Selection Denoising Method." Advanced Materials Research 482-484 (February 2012): 780–83. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.780.

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A wavelet image automatic threshold selection denoising method based on wavelet transform and genetic algorithm. Firstly, wavelet transition is introduced to an original signal and selecting a wavelet and a level of wavelet decomposition. Secondly, the automatic thresholds of every level of wavelet resolved are obtained by using genetic algorithms. At the same time, the high coefficients of every level were quantized. Thirdly, inverse transition of the coefficients was processed and achieves the final resulting signals. Compared to traditional threshold methods, the proposed method has advanta

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Midena, E., P. P. Radin, E. Convento, and F. Cavarzeran. "Macular Automatic Fundus Perimetry Threshold versus Standard Perimetry Threshold." European Journal of Ophthalmology 17, no. 1 (2007): 63–68. http://dx.doi.org/10.1177/112067210701700109.

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Wan, Yan, Li Yao, and Bugao Xu. "Automatic Segmentation of Fiber Cross Sections by Dual Thresholding." Journal of Engineered Fibers and Fabrics 7, no. 1 (2012): 155892501200700. http://dx.doi.org/10.1177/155892501200700113.

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In a microscopic image, fiber cross sections are often surrounded by borders distinctively darker than their bodies and the background. Fiber borders can be utilized to separate cross-sections properly so that accurate fiber shape and size information can be obtained. Hence, locating correct fiber borders is one of the most critical steps in cross-sectional analysis for fiber characterization and identification. This paper introduces a dual-thresholding algorithm that performs automatic fiber border segmentation from noisy cross-sectional images. The dual thresholds include a low threshold cal

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Adali, Tulay. "Automatic threshold selection using histogram quantization." Journal of Biomedical Optics 2, no. 2 (1997): 211. http://dx.doi.org/10.1117/12.268965.

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Lopes, N. V., P. A. Mogadouro do Couto, H. Bustince, and P. Melo-Pinto. "Automatic Histogram Threshold Using Fuzzy Measures." IEEE Transactions on Image Processing 19, no. 1 (2010): 199–204. http://dx.doi.org/10.1109/tip.2009.2032349.

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Jablonski, Adam, and Krzysztof Mendrok. "Automatic threshold setting for anomaly detection." Mechanical Systems and Signal Processing 228 (April 2025): 112462. https://doi.org/10.1016/j.ymssp.2025.112462.

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KANATANI, KENICHI, and YASUSHI KANAZAWA. "AUTOMATIC THRESHOLDING FOR CORRESPONDENCE DETECTION." International Journal of Image and Graphics 04, no. 01 (2004): 21–33. http://dx.doi.org/10.1142/s0219467804001270.

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We study the problem of thresholding the residual of template matching as a preprocess for selecting the correct matches between feature points in two images. In order to determine the threshold dynamically, we introduce a statistical model of the residual and compute an optimal threshold according to that model. The model parameters are estimated from the histogram of the residuals of candidate matches. Using real images, we show that our method can substantially upgrade the quality of the initial matches by simply adjusting the threshold.

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Taro Takei and Hiroki Horita. "Analysis of Business Processes with Automatic Detection of KPI Thresholds and Process Discovery Based on Trace Variants." Research Briefs on Information and Communication Technology Evolution 9 (September 5, 2023): 59–76. http://dx.doi.org/10.56801/rebicte.v9i.157.

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One effective way to analyze an event log of a complex business process is to filter the event log by a KPI threshold and then use an analysis algorithm. Event logs filtered by KPI thresholds are simpler and easier to understand than the original business process. KPI thresholds have conventionally had to be set through a trial-and-error process, but existing research has proposed an automatic KPI threshold detection method that reduces the time and effort required to search for a threshold value. In the existing method, an event log is first divided by an arbitrary number k, and a business pr

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Ejofodomi, O'tega, and Godswill Ofualagba. "Design of a Real Time Feedback Automation Irrigation System." European Journal of Engineering Research and Science 4, no. 12 (2019): 117–20. http://dx.doi.org/10.24018/ejers.2019.4.12.1685.

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This paper presents the design of a real time feedback control automated irrigation systems that consists of monitoring units, control units, irrigation pipeline valves, and a network of irrigation pipeline. The monitoring units continuously measure the soil moisture content in the irrigation blocks, and if the moisture content drops below a predetermined threshold for the particular crop under production, it sends a wireless message to the control units controlling the pipeline valves along the water flow channel, causing the control units to open the valves leading to the water source and co

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Dissertations / Theses on the topic "Automatic threshold"

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Braseth, Jørgen. "Automatic Configuration for Collective Construction : Automatic parameter setting for response threshold agents in collective construction." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8748.

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Xie, Kaicheng. "Automatic Utility Meter Reading." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1270587412.

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Jeuthe, Julius. "Automatic Tissue Segmentation of Volumetric CT Data of the Pelvic Region." Thesis, Linköpings universitet, Medicinsk informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133153.

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Automatic segmentation of human organs allows more accurate calculation of organ doses in radiationtreatment planning, as it adds prior information about the material composition of imaged tissues. For instance, the separation of tissues into bone, adipose tissue and remaining soft tissues allows to use tabulated material compositions of those tissues. This approximation is not perfect because of variability of tissue composition among patients, but is still better than no approximation at all. Another use for automated tissue segmentationis in model based iterative reconstruction algorithms.

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SILVA, Joberth de Nazaré. "Detecção automática de massas em mamografias digitais usando Quality Threshold clustering e MVS." Universidade Federal do Maranhão, 2013. http://tedebc.ufma.br:8080/jspui/handle/tede/1834.

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Submitted by Rosivalda Pereira (mrs.pereira@ufma.br) on 2017-08-16T18:29:06Z No. of bitstreams: 1 JoberthSilva.pdf: 6383640 bytes, checksum: f18918eb45c49cb426b560e4daddf994 (MD5)<br>Made available in DSpace on 2017-08-16T18:29:06Z (GMT). No. of bitstreams: 1 JoberthSilva.pdf: 6383640 bytes, checksum: f18918eb45c49cb426b560e4daddf994 (MD5) Previous issue date: 2013-02-20<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Breast cancer is worldwide the most common form of cancer affecting woman, sometimes in their lives, at the proportion of either one to nine or one to

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Zhang, Zai Yong. "Simultaneous fault diagnosis of automotive engine ignition systems using pairwise coupled relevance vector machine, extracted pattern features and decision threshold optimization." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2493967.

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Anderson, Foery Kristen R. "Triggering the Lombard effect: Examining automatic thresholds." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1460856.

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Schairer, Kim, Elizabeth Kolberg, Douglas H. Keefe, Denis Fitzpatrick, Daniel Putterman, and Patrick Feeney. "Automated Wideband Acoustic Reflex Threshold Test." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/1803.

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Acoustic reflex thresholds (ARTs) are used clinically as a cross check for behavioral results and as a measure of 7th and 8th cranial nerve function. In clinical test batteries, ARTs are measured as a change in middle ear admittance of a pure tone probe in the presence of a pure tone or broadband noise (BBN) reflex activator. ARTs measured using a wideband probe may yield lower thresholds because the criterion change for 'present' reflexes can be observed across a range of frequencies rather than at a single frequency. ARTs were elicited in a group of 25 adults with normal hearing using a 226-

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Djiallis, Caroline Helen. "Variability of the automated perimetric threshold response." Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/54548/.

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The thesis investigated aspects of the perimetric threshold estimate with the aim of facilitating the outcome of the visual field examination. The difference in performance of the three current short-duration commercially available algorithms, SITA Standard, SITA Fast and TOP was investigated, relative to their respective 'gold standards' and to each other, in two separate studies of normal individuals and of patients with open angle glaucoma (OAG). The results for the normal individuals suggested that the TOP algorithm will overestimate the severity of the field loss relative to the Octopus T

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Van, Tonder Jessica Jacqueline. "Automated smartphone threshold audiometry : validity and time-efficiency." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/60435.

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Automated smartphone-based threshold audiometry has the potential to provide affordable audiometric services in underserved contexts where adequate resources and infrastructure are lacking. This study investigated the validity of the threshold version (hearTest) of the hearScreen™ smartphone-based application using inexpensive smartphones (Android OS) and calibrated supra-aural headphones. A repeated-measures, within-subject, study design was employed, comparing automated smartphone audiometry air conduction thresholds (0.5 to 8 kHz) to conventional audiometry thresholds. A total of 95 partic

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Pierce, Luke. "NANOPIPELINED THRESHOLD SYNTHESIS USING GATE REPLICATION." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/694.

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Threshold logic gates allow for complex multi-input functions to be implemented using a single gate reducing the power and area of the circuit. Clocked based threshold gates have the additional advantage of its capability of being nanopipelined to increase network throughput. To produce a threshold network the proposed algorithm accepts a traditional algebraic boolean network as an input and resynthesizes it into a nanopipelined threshold logic network. The algorithm is the first to our knowledge that synthesizes in a manner to not only minimize the number of clusters produced from synthesizi

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Books on the topic "Automatic threshold"

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Fortinsky, Michael. Eye-movements and automated threshold perimetry. National Library of Canada, 1990.

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Bragg, Eric W. At the Threshold of Liquid Geology: And Other Automatic Tales. Writers Advantage, 2002.

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Rimašauskas, Marius, Rūta Rimašauskienė, and Tomas Kuncius. Additive Manufacturing. Guidelines for Laboratory Works. KTU leidykla „Technologija“, 2022. http://dx.doi.org/10.5755/e01.9786090217979.

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We are currently on the threshold of the fourth industrial revolution. As the consumers’ expectations are rising, each and every consumer will be able not only to participate in the product development and production processes, but also to propose their ideas, wishes and comments. Due to the changing global production trends, it is clear that the ‘usual’ production will not be able to meet all of its challenges. The development of new shapes, automation, novel non-standard materials, the freedom of design and production, the ability to reorient and react flexibly to the changing conditions are

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Mann, Elizabeth C. L. An investigation into test frequency effects on the corrosion fatigue crack growth threshold of 7075-T6 aluminium-alloy using a personal computer based automated system. 1985.

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Financial management: DOD needs to lower the disbursement prevalidation threshold : report to congressional requesters. The Office, 1996.

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Gajewski, Zbigniew. Prognozowanie wystąpień faz fenologicznych pierwiosnki omączonej Primula farinosa L. (Primulaceae) – krytycznie zagrożonego gatunku - w odniesieniu do fenologii innych składników lokalnej flory i panujących warunków termicznych. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-32-8.

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In Poland, the bird’s-eye primrose (P. farinosa) is a rare and critically endangered species. Currently, it occurs only in one location in the area of the Jaworki village in Radziejowa Range (of Beskid Sądecki mountains). This is the last of the nine previously existing locations, and the only one occurring in the mountains. To maintain the species, as well as the moutain fen on which it grows, a multiannual conservation program has been implemented, including, among other measures, conducting environmental monitoring and performing active protection procedures. In 2012–2014, studies were carr

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Book chapters on the topic "Automatic threshold"

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Wilkinson, Michael H. F. "Gaussian-Weighted Moving-Window Robust Automatic Threshold Selection." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45179-2_46.

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Xie, Pengyi, Jiangbin Zheng, Qianru Wei, and Yuke Wang. "Automatic Threshold Selection Method for SAR Edge Detection." In Advances in Brain Inspired Cognitive Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39431-8_51.

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Riu, Clément, Vincent Nozick, and Pascal Monasse. "Automatic Threshold RanSaC Algorithms for Pose Estimation Tasks." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45725-8_1.

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Whitehead, Anthony, Prosenjit Bose, and Robert Laganiere. "Feature Based Cut Detection with Automatic Threshold Selection." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27814-6_49.

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Park, Seung-Jin, Kyung-Sik Seo, and Jong-An Park. "Automatic Hepatic Tumor Segmentation Using Statistical Optimal Threshold." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11428831_116.

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Hu, Jianping, and Jindan Chen. "Near-Threshold XOR and XNOR Circuits." In 2011 International Conference in Electrics, Communication and Automatic Control Proceedings. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8849-2_217.

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Baumeister, Tom, Paul Eichler, Swen Jacobs, Mouhammad Sakr, and Marcus Völp. "Parameterized Verification of Round-Based Distributed Algorithms via Extended Threshold Automata." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71162-6_33.

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AbstractThreshold automata are a computational model that has proven to be versatile in modeling threshold-based distributed algorithms and enabling their completely automatic parameterized verification. We present novel techniques for the verification of threshold automata, based on well-structured transition systems, that allow us to extend the expressiveness of both the computational model and the specifications that can be verified. In particular, we extend the model to allow decrements and resets of shared variables, possibly on cycles, and the specifications to general coverability. Whil

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Joaquín, Pérez, Pazos Rodolfo, Velez Laura, and Guillermo Rodríguez. "Automatic Generation of Control Parameters for the Threshold Accepting Algorithm." In MICAI 2002: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46016-0_13.

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M.D., Arpitha, Megha P. Arakeri, and G. Ram Mohan Reddy. "An Approach for Color Edge Detection with Automatic Threshold Detection." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29280-4_13.

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Lorbeer, Boris, Ana Kosareva, Bersant Deva, Dženan Softić, Peter Ruppel, and Axel Küpper. "A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm." In Advances in Big Data. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47898-2_18.

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Conference papers on the topic "Automatic threshold"

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He, Jintao, and Jiaying Yu. "Research on vehicle license plate detection and recognition system based on threshold segmentation." In Third International Conference on Machine Vision, Automatic Identification and Detection, edited by Renchao Jin. SPIE, 2024. http://dx.doi.org/10.1117/12.3035574.

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Kurup, Hemanth, and Shalu Murali. "A Variance Threshold and Clustering Based Approach for Automatic Marine Target Recognition for Synthetic Aperture Radars." In 2024 Fourth International Conference on Multimedia Processing, Communication & Information Technology (MPCIT). IEEE, 2024. https://doi.org/10.1109/mpcit62449.2024.10892695.

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de Azevedo, D. F. G., S. Helegda, F. Glock, and T. Russomano. "Automatic DarkAdaptation Threshold Detection Algorithm." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616844.

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Mahmood, Z., G. Thoonen, and P. Scheunders. "Automatic threshold selection for morphological attribute profiles." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6352502.

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Chang, Ku-Yaw, Hao-Han Zhang, Shao-Jer Chen, Lih-Shyang Chen, and Jia-Hong Chen. "Automatic Colon Segmentation Using Isolated-Connected Threshold." In 2011 First International Conference on Robot, Vision and Signal Processing (RVSP). IEEE, 2011. http://dx.doi.org/10.1109/rvsp.2011.65.

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Subramanian, R., and Rajiv Mehrotra. "Automatic Threshold Selection Based On Information Gain." In SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, edited by Wayne Wiitanen. SPIE, 1988. http://dx.doi.org/10.1117/12.947682.

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Zhang, Tianxu, Xinsai Wang, and Yuehuan Wang. "Automatic threshold estimation for gradient image segmentation." In Multispectral Image Processing and Pattern Recognition, edited by Tianxu Zhang, Bir Bhanu, and Ning Shu. SPIE, 2001. http://dx.doi.org/10.1117/12.441435.

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Bejinariu, Silviu-Ioan, Hariton Costin, Florin Rotaru, Ramona Luca, and Cristina Diana Nita. "Automatic multi-threshold image segmentation using metaheuristic algorithms." In 2015 International Symposium on Signals, Circuits and Systems (ISSCS). IEEE, 2015. http://dx.doi.org/10.1109/isscs.2015.7204016.

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Kiwanuka, Fred N., and Michael H. F. Wilkinson. "Automatic Attribute Threshold Selection for Blood Vessel Enhancement." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.566.

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Lu, Zhang. "Improved automatic white balance based on Otsu threshold." In 2012 National Conference on Computing and Communication Systems (NCCCS). IEEE, 2012. http://dx.doi.org/10.1109/ncccs.2012.6412996.

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Reports on the topic "Automatic threshold"

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Chang, Han-Shu. Automatic threshold computation for traffic incident detection using INRIX. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-270.

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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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Lasko, Kristofer, Francis O’Neill, and Elena Sava. Automated mapping of land cover type within international heterogenous landscapes using Sentinel-2 imagery with ancillary geospatial data. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49367.

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A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-class land cover using two dates of a Sentinel-2 granule across seven international sites. The approach uses a series of spectral, textural, and distance decision functions combined with modified ancillary layers to create binary masks from which to generate a balanced set of training data applied to a random forest classifier. For the land cover m

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Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to s

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Fernández Gil, Oliver, and Pavlos Marantidis. Towards Extending the Description Logic FL0 with Threshold Concepts Using Weighted Tree Automata. Technische Universität Dresden, 2023. http://dx.doi.org/10.25368/2024.241.

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Baader, Franz, Oliver Fernández Gil, and Pavlos Marantidis. Approximation in Description Logics: How Weighted Tree Automata Can Help to Define the Required Concept Comparison Measures in FL₀. Technische Universität Dresden, 2016. http://dx.doi.org/10.25368/2022.230.

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Recently introduced approaches for relaxed query answering, approximately defining concepts, and approximately solving unification problems in Description Logics have in common that they are based on the use of concept comparison measures together with a threshold construction. In this paper, we will briefly review these approaches, and then show how weighted automata working on infinite trees can be used to construct computable concept comparison measures for FL₀ that are equivalence invariant w.r.t. general TBoxes. This is a first step towards employing such measures in the mentioned approxi

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Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42003.

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Tree cover maps derived from satellite and aerial imagery directly support civil and military operations. However, distinguishing tree cover from other vegetative land covers is an analytical challenge. While the commonly used Normalized Difference Vegetation Index (NDVI) can identify vegetative cover, it does not consistently distinguish between tree and low-stature vegetation. The Forest Cover Index (FCI) algorithm was developed to take the multiplicative product of the red and near infrared bands and apply a threshold to separate tree cover from non-tree cover in multispectral imagery (MSI)

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Roth, Christian. Evaluation of the In-vehicle Experience. SAE International, 2023. http://dx.doi.org/10.4271/epr2023009.

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<div class="section abstract"><div class="htmlview paragraph">Modern in-vehicle experiences are brimming with functionalities and convenience driven by automation, digitalization, and electrification. While automotive manufacturers are competing to provide the best systems to their customers, there is no common ground to evaluate these in-vehicle experiences as they become increasingly complex. Existing automotive guidelines do not offer thresholds for cognitive distraction, or—more appropriately—“disengagement.” What can researchers can do to change this?</div><div class=

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Chapman, Sam. PPR2017 Automated Vehicle Safety Assurance - In-use Safety and Security Monitoring - Task 2: Minimum Dataset Specification. TRL, 2022. http://dx.doi.org/10.58446/nksn4732.

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This report reviews in-use data recording practices and regulation for monitoring transport operational safety. It looks beyond just road vehicle in-use risk monitoring to also explore established regulation and approaches developed over time within; air, rail and marine vehicles. This wider basis of review seeks to identify potentially transferable good practice for application to Low Speed Automated Vehicle (LSAV) in-use monitoring. Across all approaches two core classes of in-use monitoring are detailed: lagging measures and leading measures. Lagging measures have higher accuracy focusing o

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Korinek, Anton, and Joseph Stiglitz. Steering Technological Progress. Institute for New Economic Thinking Working Paper Series, 2025. https://doi.org/10.36687/inetwp232.

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Rapid progress in new technologies such as AI has led to widespread anxiety about adverse labor market impacts. This paper asks how to guide innovative efforts so as to increase labor demand and create better paying jobs while also evaluating the limitations of such an approach. We develop a theoretical framework to identify the properties that make an innovation desirable from the perspective of workers, including its technological complementarity to labor, the factor share of labor in producing the goods involved, and the relative income of the affected workers. Applications include robot ta

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