Relevant bibliographies by topics / Angle Classification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Angle Classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Angle Classification"

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Weinberger, Tom. "Angle classification." American Journal of Orthodontics and Dentofacial Orthopedics 103, no. 4 (April 1993): 26A—28A. http://dx.doi.org/10.1016/s0889-5406(05)80388-9.

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Katz, Morton I. "Angle classification revisited 2: A modified Angle classification." American Journal of Orthodontics and Dentofacial Orthopedics 102, no. 3 (September 1992): 277–84. http://dx.doi.org/10.1016/s0889-5406(05)81064-9.

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Barroco, Rui dos Santos, Bruno Rodrigues de Miranda, Herbert Amantéa Fernandes, Gregory Bittar Pessoa, Danilo Ryuko Cândido Nishikawa, Leticia Zaccaria Prates de Oliveira, Álvaro Diego Pupa De Freitas, and Caio Ivo de Almeida. "Inter-rater reliability of Böhler and Gissane angles in different calcaneal fracture according to the Essex-Lopresti and Sanders classifications." Journal of the Foot & Ankle 15, no. 2 (August 31, 2021): 133–39. http://dx.doi.org/10.30795/jfootankle.2021.v15.1535.

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Objective: To evaluate the inter-rater reliability and intra-class correlation coefficients (ICC) of Böhler’s angle and the critical angle of Gissane in calcaneal fractures, stratified by severity and by the Essex-Lopresti and Sanders classifications. Methods: Retrospective study of radiographs obtained from 97 patients: 67 with calcaneal fractures and 30 with normal lateral radiographs (used as a control group). Böhler’s angle and the angle of Gissane were measured by six raters: two orthopedic surgery residents, two musculoskeletal radiologists, a foot and ankle surgery fellow, and a senior consultant in foot surgery. Statistical analysis of inter-rater reliability was performed for the two angles, in the sample overall and stratified by the different radiographic and CT subtypes of calcaneal fractures. Results: For the angle of Gissane, the ICC was at best 0.400 (95% CI: 0.250 to 0.581) for normal radiographs, with poor agreement across all classifications and severity stratifications. For Böhler’s angle, the ICC values indicated weak to moderate agreement, with the best reproducibility obtained for the overall sample (0.740; 95% CI: 0.673 to 0.801). In Sanders type 1 fractures, the ICC was 0.704 (95% CI: 0.397 to 0.940), and in Sanders type 2 fractures, 0.762 (95% CI: 0.634 to 0.870). Conclusion: Böhler’s angle is more reproducible than the critical angle of Gissane, with greater inter-rater reliability among fractures deemed less severe on the Sanders classification, although the overall ICC ranged from weak to moderate at best. Level of Evidence III; Case Control Study; Diagnostic Studies.
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Li, Zijia, and Josef Schicho. "Classification of angle-symmetric 6R linkages." Mechanism and Machine Theory 70 (December 2013): 372–79. http://dx.doi.org/10.1016/j.mechmachtheory.2013.08.002.

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Zhang, C., and Y. Liu. "Multicategory angle-based large-margin classification." Biometrika 101, no. 3 (July 23, 2014): 625–40. http://dx.doi.org/10.1093/biomet/asu017.

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Roberts, Paul L. D., and Jules S. Jaffe. "Multiple angle acoustic classification of zooplankton." Journal of the Acoustical Society of America 121, no. 4 (April 2007): 2060–70. http://dx.doi.org/10.1121/1.2697471.

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Sihota, Ramanjit. "Classification of primary angle closure disease." Current Opinion in Ophthalmology 22, no. 2 (March 2011): 87–95. http://dx.doi.org/10.1097/icu.0b013e328343729f.

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Yang, Yi, Yuxuan Guo, and Xiangyu Chang. "Angle-based cost-sensitive multicategory classification." Computational Statistics & Data Analysis 156 (April 2021): 107107. http://dx.doi.org/10.1016/j.csda.2020.107107.

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Kowsher, Md, Imran Hossen, Anik Tahabilder, Nusrat Jahan Prottasha, Md Murad Hossain Sarker, Nazmul Ahasan, and Md Imdadul Hoque. "SDSV: Angle Measurement for Supervised Classification." Procedia Computer Science 189 (2021): 216–23. http://dx.doi.org/10.1016/j.procs.2021.05.085.

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Kim, Seok Kwun, Jae Jung Han, and Jeong Tae Kim. "Classification and Treatment of Prominent Mandibular Angle." Aesthetic Plastic Surgery 25, no. 5 (September 2001): 382–87. http://dx.doi.org/10.1007/s002660010150.

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Dissertations / Theses on the topic "Angle Classification"

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Prasert, Sunyaruk. "Multi angle imaging with spectral remote sensing for scene classification." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FPrasert.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2005.
Thesis Advisor(s): Richard C. Olsen. Includes bibliographical references (p. 95-97). Also available online.
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Dungan, Kerry Edward. "Feature-based Vehicle Classification in Wide-angle Synthetic Aperture Radar." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274402314.

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HIRIART, JEAN. "Existe-t-il une typologie cranio-faciale correspondant a la classification d'angle." Paris 5, 1990. http://www.theses.fr/1990PA05M143.

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Liu, Yunan. "Intermediary System Using Image Classification for Online Shopping." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6015.

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Online shopping is becoming a popular option for consumers. Currently, the most common product searching method that online shopping websites provide is keyword search. Most shoppers have to carefully select relevant keywords to search for their favorite products. Finding desired products using a query image for online shopping is currently not available. Image has been used for searching similar images in the database but they are usually not well annotated. Research effort has been devoted to developing reliable image-based retrieval systems for applications such as medical image retrieval and trademark search. None of these developments focuses on improving online shopping experiences for consumers. This thesis reports the development of an image retrieval system to provide better online shopping experience for consumers. The system searches products with similar appearance such as shape and textures to the query images the user provides. Turn angle is a contour based shape descriptor. It has many unique properties that make it a perfect shape matching method for image retrieval. The best matching image has the shortest shape distance to the query shape. Turn angle, however, could fail with slightly stretched shapes. Dynamic programming is used to help turn angle match slightly deformed shapes. Another technique called centroid distance is also included as a restriction for shape matching in order to avoid retrieving irrelevant or disparate shapes. With a well-built database, the enhanced turn angle descriptor that includes dynamic programming and centroid distance is able to reach a high accuracy rate.Shape matching alone is usually not sufficient for a powerful retrieval system. Products with similar shape but very different textures will not be distinguished based solely on shape matching. Edge histogram is a robust shape descriptor for texture matching. It can be implemented to construct either global or local histogram for this purpose. Global edge histogram uses only 5 bins, which is simple but ignores detail texture information. Local and semi-global edge histograms are more complex but retains detail texture information. A hierarchical matching system is built to combine the shape and texture descriptors for better retrieval accuracy.Easy access to the shopping system is desired. An Android Application is developed to provide consumers a convenient and friendly tool to use the system. Grab cut is applied to the captured image to segment the object from the background. The segmentation provides the retrieval system the required contour information for shape matching. The Android Application submits the captured image along with the segmented contour to the server. After the retrieval process is completed, the server sends retrieved images of similar products back to the Android App for the user to consider. Using the retrieval system via a handheld device provides a user-friendly online shopping experience.
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Forrest, J. I. M. "Classification of microalgal cells in flow cytometry : The potential of multiple angle light scatter measurements." Thesis, University of Strathclyde, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371972.

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Drechsel, Dieter. "The evolution seen from the angle of quantum physics." Dieter Drechsel, 2021. https://slub.qucosa.de/id/qucosa%3A73998.

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In previous publications [1,7] the author described the base rivalry in monotonous DNA sequences and their effect on the DNA repair mechanism. According to this theory, many base building blocks compete for the occupancy of the newly released base site in the replication of monotonous DNA sequences in the elongation phase. This gives them more and more kinetic energy from replication position to next position. Thus, there is a probability that a tautomeric base pair is formed behind the end of the monotonic sequence because of the tunneling effect. After its replication a different, irreparable base pair develops from the tautomeric base pair, when the rivalry - energy leads to a very strong hydrogen bond. This happens, however, by chance. In the following, we will describe the 3 phenomena: The tunnel probability (section 2), the probability for coming up of a high – energy – base building block (Elitist, section 3),and the combination of both phenomena (section 4). The result of these calculations is the equation (28). It is remarkable that follows from these calculations that the length of the monotonous sequences, and also the length of DNA increases itself in the course of evolution (section 5). (Read up all detailed computations in [7].) [... from introduction]
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Kramberger, Christian. "Angle resolved dielectric response in carbon nanotubes." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1215697970004-33212.

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The thesis "Anlre resolved dielectric response in carbon nanotubes" is dedicated to expounding the the anisotropy in the fundamental dielectric response of carbon nanotubes. While nanotubes are along their axis essentially planar graphene, the rolled up topology gives rise to entirely new features for perpendicular polarizations.
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Nawathe, Piyush. "Neural Network Trees and Simulation Databases: New Approaches for Signalized Intersection Crash Classification and Prediction." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4067.

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Intersection related crashes form a significant proportion of the crashes occurring on roadways. Many organizations such as the Federal Highway Administration (FHWA) and American Association of State Highway and Transportation Officials (AASHTO) are considering intersection safety improvement as one of their top priority areas. This study contributes to the area of safety of signalized intersections by identifying the traffic and geometric characteristics that affect the different types of crashes. The first phase of this thesis was to classify the crashes occurring at signalized intersections into rear-end, angle, turn and sideswipe crash types based on the traffic and geometric properties of the intersections and the conditions at the time of the crashes. This was achieved by using an innovative approach developed in this thesis "Neural Network Trees". The first neural network model built in the Neural Network tree classified the crashes either into rear end and sideswipe or into angle and turn crashes. The next models further classified the crashes into their individual types. Two different neural network methods (MLP and PNN) were used in classification, and the neural network with a better performance was selected for each model. For these models, the significant variables were identified using the forward sequential selection method. Then a large simulation database was built that contained all possible combinations of intersections subjected to various crash conditions. The collision type of crashes was predicted for this simulation database and the output obtained was plotted along with the input variables to obtain a relationship between the input and output variables. For example, the analysis showed that the number of rear end and sideswipe crashes increase relative to the angle and turn crashes when there is an increase in the major and minor roadways' AADT and speed limits, surface conditions, total left turning lanes, channelized right turning lanes for the major roadway and the protected left turning lanes for the minor roadway, but decrease when the light conditions are dark. The next phase in this study was to predict the frequency of different types of crashes at signalized intersections by using the geometric and traffic characteristics of the intersections. A high accuracy in predicting the crash frequencies was obtained by using another innovative method where the intersections were first classified into two different types named the "safe" and "unsafe" intersections based on the total number of lanes at the intersections and then the frequency of crashes was predicted for each type of intersections separately. This method consisted of identifying the best neural network for each step of the analysis, selecting significant variables, using a different simulation database that contained all possible combinations of intersections and then plotting each input variable with the average output to obtain the pattern in which the frequency of crashes will vary based on the changes in the geometric and traffic characteristics of the intersections. The patterns indicated that an increase in the number of lanes of the major roadway, lanes of the minor roadway and the AADT on the major roadway leads to an increased crashes of all types, whereas an increase in protected left turning lanes on the major road increases the rear end and sideswipe crashes but decreases the angle, turning and overall crash frequencies. The analyses performed in this thesis were possible due to a diligent data collection effort. Traffic and geometric characteristics were obtained from multiple sources for 1562 signalized intersections in Brevard, Hillsborough, Miami-Dade, Seminole and Orange counties and the city of Orlando in Florida. The crash database for these intersections contained 27,044 crashes. This research sheds a light on the characteristics of different types of crashes. The method used in classifying crashes into their respective collision types provides a deeper insight on the characteristics of each type of crash and can be helpful in mitigating a particular type of crash at an intersection. The second analysis carried out has a three fold advantage. First, it identifies if an intersection can be considered safe for different crash types. Second, it accurately predicts the frequencies of total, rear end, angle, sideswipe and turn crashes. Lastly, it identifies the traffic and geometric characteristics of signalized intersections that affect each of these crash types. Thus the models developed in this thesis can be used to identify the specific problems at an intersection, and identify the factors that should be changed to improve its safety
M.S.C.E.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Civil Engineering
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Feldkamp, Jan Moritz. "Scanning Small-Angle X-Ray Scattering Tomography." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-24925.

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The techniques of small-angle x-ray scattering (SAXS) and grazing-incidence small-angle x-ray scattering (GISAXS) have successfully been used for many years in the analysis of nanostructures in non-crystalline samples, e.g., polymers, metallic alloys, ceramics, and glasses. In many specimens, however, the nanostructure is not distributed homogeneously, but instead varies as a function of position in the sample. Conventional SAXS or GISAXS measurements on such heterogeneous samples merely yield an averaged scattering pattern of all the different structures present along the x-ray beam path. In this thesis, scanning tomography is combined with SAXS and GISAXS, revealing the individual local scattering cross section at each position on a virtual section through the sample. The technique thereby offers unique analytical possibilities in heterogeneous specimens. A brief review of the physics of x rays and x-ray scattering is given, before the methods of tomographic SAXS and GISAXS are introduced. Experimental requirements and limitations of both methods are discussed, including aspects of sampling, local rotational invariance and x-ray beam coherence. Experiments performed at the beamline BW4 at HASYLAB at DESY, Hamburg, Germany are described, illustrating the capabilities of the method. Finally, an outlook on possible future developments in tomographic small-angle x-ray scattering is given
Die Methoden der Röntgenkleinwinkelstreuung (SAXS) und Röntgenkleinwinkelstreuung unter streifendem Einfall (GISAXS) werden seit vielen Jahren erfolgreich eingesetzt zur Analyse von Nanostrukturen in nicht-kristallinen Proben, z.B. Polymeren, metallischen Legierungen, Keramiken und Gläsern. In vielen Proben ist die Nanostruktur allerdings nicht homogen verteilt, sondern variiert als Funktion des Ortes in der Probe. Konventionelle SAXS- oder GISAXS-Messungen an solch heterogenen Proben liefern lediglich ein über alle unterschiedlichen Strukturen entlang des Röntgenstrahls gemitteltes Streubild. In dieser Arbeit wird Rastertomographie mit SAXS und GISAXS kombiniert und so der lokale Streuquerschnitt an jedem Ort auf einem virtuellen Schnitt durch die Probe gewonnen. Diese Technik bietet so einzigartige Analysemöglichkeiten von heterogenen Proben. Es wird zunächst ein kurzer Überblick über die Physik der Röntgenstrahlung und Röntgenstreuung gegeben, bevor die Methoden der SAXS- und GISAXS-Tomographie eingeführt werden. Die experimentellen Anforderungen und Grenzen beider Methoden werden besprochen, wobei Aspekte der Abtastung, der lokalen Rotationsinvarianz und der Kohärenz im Röntgenstrahl eine Rolle spielen. Experimente, die an der Messstrecke BW4 am HASYLAB bei DESY, Hamburg, durchgeführt wurden, werden beschrieben, um die Möglichkeiten der Methode zu illustrieren. Schließlich wird ein Ausblick auf mögliche zukünftige Entwicklungen der Kleinwinkelstreutomographie gegeben
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Lam-Médioni, Régina. "Etude de l'angle goniaque sur des teleradiographies de 151 cas de faces longues en classe ii et iii d'angle." Paris 7, 1988. http://www.theses.fr/1988PA071052.

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Books on the topic "Angle Classification"

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Taylor, Arlene G. Introduction to cataloging and classification. Westport, Conn: Libraries Unlimited, 2006.

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Taylor, Arlene G. Wynar's introduction to cataloging and classification. 9th ed. Englewood, Colo: Libraries Unlimited, 2000.

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Taylor, Arlene G. Wynar's introduction to cataloging and classification. 9th ed. Westport, Conn: Libraries Unlimited, 2004.

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1941-, Taylor Arlene G., ed. Introduction to cataloging and classification. 7th ed. Littleton, Colo: Libraries Unlimited, 1985.

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1941-, Taylor Arlene G., ed. Introduction to cataloging and classification. 8th ed. Englewood, Colo: Libraries Unlimited, 1992.

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Williams, David. Late Saxon stirrup-strap mounts: A classification and catalogue : a contribution to the study of Late Saxon ornamental metalwork. York: Council for British Archaeology, 1997.

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Cataloging sheet maps: The basics. New York: Haworth Information Press, 2003.

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L, Maxwell Robert. Maxwell's handbook for AACR2: Explaining and illustrating the Anglo-American cataloguing rules through the 2003 update. 4th ed. Chicago: American Library Association, 2004.

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L, Maxwell Robert. Maxwell's handbook for AACR2R: Explaining and illustrating the Anglo-American cataloguing rules and the 1993 amendments. Chicago, IL: American Library Association, 1997.

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Olson, Nancy B. The complete cataloging reference set: Collected manuals of the Minnesota AACR 2 Trainers. DeKalb, Ill: Minnesota Scholarly Press, 1988.

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Book chapters on the topic "Angle Classification"

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Mallick, Mahendra, Mark Morelande, Lyudmila Mihaylova, Sanjeev Arulampalam, and Yanjun Yan. "Angle-Only Filtering in Three Dimensions." In Integrated Tracking, Classification, and Sensor Management, 1–42. Hoboken, New Jersey: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118450550.ch01.

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Belachew, Arasho, Tumul Chowdhury, Toma Spiriev, Nora Sandu, and Bernhard Schaller. "Classification of Meningiomas in the Cerebellopontine Angle." In Tumors of the Central Nervous System, 43–53. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7224-2_5.

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Aji, Sani, Poom Kumam, Punnarai Siricharoen, and Ali Maina Bukar. "Automatic Classification of Low-Angle Fuze-Quick Craters Using Deep Learning." In Machine Learning, Optimization, and Data Science, 436–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64580-9_36.

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Hao, Huaying, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, and Yitian Zhao. "Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 715–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59722-1_69.

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Su, Xiu, Xiang Wang, Derui Song, Jianhua Zhao, Jianchao Fan, and Zhengxian Yang. "Improved Spectral Angle Mapper Applications for Mangrove Classification Using SPOT5 Imagery." In Lecture Notes in Electrical Engineering, 1232–43. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_162.

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Chowdhary, Ramandeep Singh, and Mainak Basu. "Classification of Walkers Based on Back Angle Measurements Using Wireless Sensor Node." In Sustainable Communication Networks and Application, 399–411. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34515-0_43.

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Al-Mulla, Mohamed R., Francisco Sepulveda, and Mohammad Suoud. "Optimal Elbow Angle for MMG Signal Classification of Biceps Brachii during Dynamic Fatiguing Contraction." In Bioinformatics and Biomedical Engineering, 303–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16483-0_31.

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Lasanianos, Nick G., and Nikolaos K. Kanakaris. "Ankle Fractures." In Trauma and Orthopaedic Classifications, 367–70. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6572-9_84.

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Matsushima, Toshio. "Meningiomas of the Cerebellopontine Angle: Classification and Differences in the Surgical Removal of Each Type Through the Lateral Suboccipital Retrosigmoid Approach." In Microsurgical Anatomy and Surgery of the Posterior Cranial Fossa, 189–205. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54183-7_15.

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Branca, Alberto, Marco Merlo, Clara Terzaghi, and Cecilia Pasquali. "Classification, Treatment, and Arthroscopic Procedures." In Ankle Joint Arthroscopy, 117–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29231-7_14.

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Conference papers on the topic "Angle Classification"

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Isobe, Shinnosuke, Satoshi Tamura, Satoru Hayamizu, Yuuto Gotoh, and Masaki Nose. "Multi-angle lipreading using angle classification and angle-specific feature integration." In 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA). IEEE, 2021. http://dx.doi.org/10.1109/iccspa49915.2021.9385743.

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Chlewicki, W., P. Baniukiewicz, T. Chady, A. Brykalski, Donald O. Thompson, and Dale E. Chimenti. "CLASSIFICATION PROCEDURE IN LIMITED ANGLE TOMOGRAPHY SYSTEM." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Volume 30A; Volume 30B. AIP, 2011. http://dx.doi.org/10.1063/1.3592122.

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Longbotham, Nathan, Chad Bleiler, Chuck Chaapel, Chris Padwick, William Emery, and Fabio Pacifici. "Spatial classification of WorldView-2 multi-angle sequence." In 2011 Joint Urban Remote Sensing Event (JURSE). IEEE, 2011. http://dx.doi.org/10.1109/jurse.2011.5764730.

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Longbotham, Nathan, Chad Bleiler, Chuck Chaapel, Chris Padwick, William Emery, and Fabio Pacifici. "Spectral classification of WorldView-2 multi-angle sequence." In 2011 Joint Urban Remote Sensing Event (JURSE). IEEE, 2011. http://dx.doi.org/10.1109/jurse.2011.5764731.

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Prateek, G. V., K. Nijil, and K. V. S. Hari. "Classification of Vehicles Using Magnetic Field Angle Model." In 2013 Fourth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2013). IEEE, 2013. http://dx.doi.org/10.1109/isms.2013.60.

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Karabacak, C., S. Z. Gürbüz, M. B. Guldogan, and A. C. Gürbüz. "Multi-aspect angle classification of human radar signatures." In SPIE Defense, Security, and Sensing, edited by G. Charmaine Gilbreath and Chadwick Todd Hawley. SPIE, 2013. http://dx.doi.org/10.1117/12.2017709.

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Canning, Anat, and Alex Malkin. "Classification of AVO data using “Angle plot” crossplots." In SEG Technical Program Expanded Abstracts 2002. Society of Exploration Geophysicists, 2002. http://dx.doi.org/10.1190/1.1817117.

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Dungan, Kerry E., and Lee C. Potter. "Effects of polarization on wide-angle SAR classification performance." In NAECON 2010 - IEEE National Aerospace and Electronics Conference. IEEE, 2010. http://dx.doi.org/10.1109/naecon.2010.5712923.

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Lladó, X., A. Oliver, M. Petrou, J. Freixenet, and J. Martí. "Simultaneous surface texture classification and illumination tilt angle prediction." In British Machine Vision Conference 2003. British Machine Vision Association, 2003. http://dx.doi.org/10.5244/c.17.77.

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Katayama, Nishiki, and Satoshi Yamane. "Angle Estimation Network Using Polar Transformation for Object Classification." In 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE). IEEE, 2020. http://dx.doi.org/10.1109/gcce50665.2020.9291937.

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