Academic literature on the topic 'Snakes – Classification'
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Journal articles on the topic "Snakes – Classification"
Pamungkas, Yoga Widi, Adiwijaya Adiwijaya, and Dody Qori Utama. "Klasifikasi Gambar Gigitan Ular Menggunakan Regionprops dan Algoritma Decision Tree." Jurnal Sistem Komputer dan Informatika (JSON) 1, no. 2 (January 25, 2020): 69. http://dx.doi.org/10.30865/json.v1i2.1789.
Full textRIEPPEL, O. "Pattern and process: the early classification of snakes." Biological Journal of the Linnean Society 31, no. 4 (August 1987): 405–20. http://dx.doi.org/10.1111/j.1095-8312.1987.tb02000.x.
Full textLbova, Lyudmila. "Malta Bestiary: Birds, Snakes and Others…" Stratum plus. Archaeology and Cultural Anthropology, no. 1 (February 26, 2021): 57–73. http://dx.doi.org/10.55086/sp2115773.
Full textWhite, Julian. "The generic classification of the Australian terrestrial elapid snakes." Toxicon 30, no. 8 (August 1992): 942. http://dx.doi.org/10.1016/0041-0101(92)90416-3.
Full textChaaithanya, Itta Krishna, Dipak Abnave, Himmatrao Bawaskar, Ujwal Pachalkar, Sandip Tarukar, Neha Salvi, Prabhakar Bhoye, Arun Yadav, Smita D. Mahale, and Rahul K. Gajbhiye. "Perceptions, awareness on snakebite envenoming among the tribal community and health care providers of Dahanu block, Palghar District in Maharashtra, India." PLOS ONE 16, no. 8 (August 5, 2021): e0255657. http://dx.doi.org/10.1371/journal.pone.0255657.
Full textPatel, Anika, Lisa Cheung, Nandini Khatod, Irina Matijosaitiene, Alejandro Arteaga, and Joseph W. Gilkey. "Revealing the Unknown: Real-Time Recognition of Galápagos Snake Species Using Deep Learning." Animals 10, no. 5 (May 6, 2020): 806. http://dx.doi.org/10.3390/ani10050806.
Full textRieppel, O. "A cladistic classification of primitive snakes based on skull structure." Journal of Zoological Systematics and Evolutionary Research 17, no. 2 (April 27, 2009): 140–50. http://dx.doi.org/10.1111/j.1439-0469.1979.tb00696.x.
Full textHEDGES, S. BLAIR. "The type species of the threadsnake genus Tricheilostoma Jan revisited (Squamata, Leptotyphlopidae)." Zootaxa 3027, no. 1 (September 14, 2011): 63. http://dx.doi.org/10.11646/zootaxa.3027.1.7.
Full textHEDGES, S. BLAIR, ARNAUD COULOUX, and NICOLAS VIDAL. "Molecular phylogeny, classification, and biogeography of West Indian racer snakes of the Tribe Alsophiini (Squamata, Dipsadidae, Xenodontinae)." Zootaxa 2067, no. 1 (April 8, 2009): 1–28. http://dx.doi.org/10.11646/zootaxa.2067.1.1.
Full textKhunteta, Ajay, and D. Ghosh. "Object Boundary Detection Using Active Contour Model via Multiswarm PSO with Fuzzy-Rule Based Adaptation of Inertia Factor." Advances in Fuzzy Systems 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/6179576.
Full textDissertations / Theses on the topic "Snakes – Classification"
Pyron, R., Frank Burbrink, and John Wiens. "A phylogeny and revised classification of Squamata, including 4161 species of lizards and snakes." BioMed Central, 2013. http://hdl.handle.net/10150/610383.
Full textKienel, Enrico, and Guido Brunnett. "GPU-Accelerated Contour Extraction on Large Images Using Snakes." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200900358.
Full textKienel, Enrico. "Algorithmen der Bildanalyse und -synthese für große Bilder und Hologramme." Doctoral thesis, Universitätsverlag der Technischen Universität Chemnitz, 2012. https://monarch.qucosa.de/id/qucosa%3A19815.
Full textTindale, Adam. "Classification of snare drum sounds using neural networks." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81515.
Full textChance, Eric Wilson. "Irrigator Responses to Changes in Water Availability in Idaho's Snake River Plain." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78361.
Full textMaster of Science
Ho, Wai-hoong, and 何慧紅. "The taxonomy and ecology of land snails in Hong Kong, with particular reference to factors affecting their distribution and populationdynamics." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31211458.
Full textFox, Nathaniel S. III. "Analysis of Snake Creek Burial Cave Mustela fossils using Linear & Landmark-based Morphometrics: Implications for Weasel Classification & Black-footed Ferret Conservation." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2339.
Full textHaj, Hassan Hawraa. "Détection et classification temps réel de biocellules anormales par technique de segmentation d’images." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0043.
Full textDevelopment of methods for help diagnosis of the real time detection of abnormal cells (which can be considered as cancer cells) through bio-image processing and detection are most important research directions in information science and technology. Our work has been concerned by developing automatic reading procedures of the normal and abnormal bio-images tissues. Therefore, the first step of our work is to detect a certain type of abnormal bio-images associated to many types evolution of cancer within a Microscopic multispectral image, which is an image, repeated in many wavelengths. And using a new segmentation method that reforms itself in an iterative adaptive way to localize and cover the real cell contour, using some segmentation techniques. It is based on color intensity and can be applied on sequences of objects in the image. This work presents a classification of the abnormal tissues using the Convolution neural network (CNN), where it was applied on the microscopic images segmented using the snake method, which gives a high performance result with respect to the other segmentation methods. This classification method reaches high performance values, where it reaches 100% for training and 99.168% for testing. This method was compared to different papers that uses different feature extraction, and proved its high performance with respect to other methods. As a future work, we will aim to validate our approach on a larger datasets, and to explore different CNN architectures and the optimization of the hyper-parameters, in order to increase its performance, and it will be applied to relevant medical imaging tasks including computer-aided diagnosis
Naranjo-Garcia, Edna. "Systematics and biogeography of the Helminthoglyptidae of Sonora." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184460.
Full textvon, Wenckstern Michael. "Web applications using the Google Web Toolkit." Master's thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2013. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-115009.
Full textDiese Diplomarbeit beschreibt die Erzeugung desktopähnlicher Anwendungen mit dem Google Web Toolkit und die Umwandlung klassischer Java-Programme in diese. Das Google Web Toolkit ist eine Open-Source-Entwicklungsumgebung, die Java-Code in browserunabhängiges als auch in geräteübergreifendes HTML und JavaScript übersetzt. Vorgestellt wird der Großteil des GWT Frameworks inklusive des Java zu JavaScript-Compilers sowie wichtige Sicherheitsaspekte von Internetseiten. Um zu zeigen, dass auch komplizierte graphische Oberflächen mit dem Google Web Toolkit erzeugt werden können, wird das bekannte Brettspiel Agricola mittels Model-View-Presenter Designmuster implementiert. Zur Ermittlung der richtigen Technologie für das nächste Webprojekt findet ein Vergleich zwischen dem Google Web Toolkit und JavaServer Faces statt
Books on the topic "Snakes – Classification"
Lang, Ruud de. The snakes of the Lesser Sunda Islands (Nusa Tenggara), Indonesia: A field guide to the terrestrial and semi-aquatic snakes of the Lesser Sunda Islands with identification key. Frankfurt am Main: Edition Chimaira, 2011.
Find full textGolay, Philippe. Checklist and keys to the terrestrial proteroglyphs of the World (Serpentes: Elapidae - Hydrophiidae). Genève: Elapsoïdea fondation culturelle, 1985.
Find full textWelch, K. R. G. Snakes of the world: A checklist. Taunton: R. & A. Research & Information, 1994.
Find full textCampbell, Jonathan A. Comments on the identities of certain Tantilla (Squamata: Colubridae) from Guatemala, with the descriptions of two new species. Lawrence, Kan: Natural History Museum, The University of Kansas, 1998.
Find full textWelch, Kenneth R. G. Snakes of the world: A checklist. [S.l.]: R & A Research and Information., 1994.
Find full textforeword, Savage Jay Mathers, ed. The snakes of Honduras: Systematics, distribution, and conservation. Ithaca, N.Y: Society for the Study Of Amphibians, 2011.
Find full text1912-, Smith Hobart Muir, ed. Ofidiofauna de Veracruz: Análisis taxonómico y zoogeográfico = Ophidiofauna of Veracruz : taxonomical and zoogeographical analysis. México, D.F: Universidad Nacional Autónoma de México, Instituto de Biología, 1991.
Find full textSystematics of snakes of the Dipsas oreas complex (Colubridae: Dipsadinae) in western Ecuador and Peru, with revalidation of D. elegans (Boulenger) and D. ellipsifera (Boulenger). Cambridge, Mass: Museum of Comparative Zoology, Harvard University, 2005.
Find full textMcDiarmid, Roy W. Snake species of the world: A taxonomic and geographic reference. Washington, DC: Herpetologists' League, 1999.
Find full textLema, Thales de. Os répteis do Rio Grande do Sul: Atuais e fósseis, biogeografia, ofidismo. Porto Alegre: EDIPUCRS, 2002.
Find full textBook chapters on the topic "Snakes – Classification"
Amir, Amiza, Nik Adilah Hanin Zahri, Naimah Yaakob, and R. Badlishah Ahmad. "Image Classification for Snake Species Using Machine Learning Techniques." In Advances in Intelligent Systems and Computing, 52–59. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48517-1_5.
Full textVan Steelant, Dirk, Koen Tanghe, Sven Degroeve, Bernard De Baets, Marc Leman, and Jean-Pierre Martens. "Support Vector Machines for Bass and Snare Drum Recognition." In Studies in Classification, Data Analysis, and Knowledge Organization, 616–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-28084-7_73.
Full textProgga, Nagifa Ilma, Noortaz Rezoana, Mohammad Shahadat Hossain, Raihan Ul Islam, and Karl Andersson. "A CNN Based Model for Venomous and Non-venomous Snake Classification." In Applied Intelligence and Informatics, 216–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82269-9_17.
Full textLakshmi, D., Ramesh Chandra Panda, Amrita, and Abhinav Prakash. "Life-Saving APP: Snake Classification ‘Venomous and Non-venomous’ Using fast.ai Based on Indian Species." In Artificial Intelligence Systems and the Internet of Things in the Digital Era, 109–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77246-8_11.
Full textSejdić, E., and E. Veledar. "An Algorithm for Classification of Opening Snaps and Third Heart Sounds Based on Wavelet Decomposition." In IFMBE Proceedings, 404–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23508-5_105.
Full textBoundy, Jeff. "Classification." In Snakes of the World, 9–12. CRC Press, 2020. http://dx.doi.org/10.1201/9780429461354-5.
Full text"Classification of snakes." In Science Spectra, 51–64. CRC Press, 2003. http://dx.doi.org/10.1201/9780203422670.ch6.
Full textBoundy, Jeff. "Classification and List of Genera." In Snakes of the World, 13–16. CRC Press, 2020. http://dx.doi.org/10.1201/9780429461354-6.
Full textFlower, Harriet I. "Lar(es)/Genius and Juno/Snake(s)." In The Dancing Lares and the Serpent in the Garden. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691175003.003.0001.
Full textSchram, Frederick R., and Stefan Koenemann. "Amphipoda and Ingolfiellida." In Evolution and Phylogeny of Pancrustacea, 418–49. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780195365764.003.0033.
Full textConference papers on the topic "Snakes – Classification"
Niteesh., I., Mohith Sai Venkat.A, Sk Vahed., Naga Dattu.P, and M. Srilatha. "Classification and Prediction of Snake Species based on Snakes’ Visual Features using Machine Learning." In 2021 2nd Global Conference for Advancement in Technology (GCAT). IEEE, 2021. http://dx.doi.org/10.1109/gcat52182.2021.9587711.
Full textLi, Wei, and Deren Li. "Cloud detection in MODIS data based on spectrum analysis and snake model." In Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2008. http://dx.doi.org/10.1117/12.813237.
Full textThomas, Roy, Andrew DeSpirito, and Roy Bleiberg. "The Application of Classification to the U.S. Navy Submarine Rescue System." In SNAME Maritime Convention. SNAME, 2008. http://dx.doi.org/10.5957/smc-2008-088.
Full textAbeysinghe, Chamath, Anuradha Welivita, and Indika Perera. "Snake Image Classification using Siamese Networks." In ICGSP '19: 2019 The 3rd International Conference on Graphics and Signal Processing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3338472.3338476.
Full textGarzke, William, Dominick Cimino, and Matthew D. Yoder. "Improvements and Guidance to the Weight Classification using Expanded Ship Work Breakdown Structure (ESWBS)." In SNAME Maritime Convention. SNAME, 2014. http://dx.doi.org/10.5957/smc-2014-p49.
Full textYang, Zihan, and Richard Sinnott. "Snake Detection and Classification using Deep Learning." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2021. http://dx.doi.org/10.24251/hicss.2021.148.
Full textDowling, Meg, Timothy Meyers, Domenic Carlucci, and Richard Delpizzo. "Hydrogen for Marine Power and Propulsion: Regulatory and Classification Considerations." In SNAME Maritime Convention. SNAME, 2022. http://dx.doi.org/10.5957/smc-2022-045.
Full textReynolds, Kevin J., Peter F. Weber, Rudy Mato, and Charles Dorchak. "Ballast Water Treatment Technology: Design, Risk Assessment, and Installation on a Tank Ship." In SNAME Maritime Convention. SNAME, 2008. http://dx.doi.org/10.5957/smc-2008-027.
Full textShi, Bill, Donald Liu, and Christopher Wiernicki. "Dynamic Loading Approach for Structural Evaluation of Ultra Large Container Carriers." In SNAME Maritime Convention. SNAME, 2005. http://dx.doi.org/10.5957/smc-2005-d47.
Full textCard, James C., Clifford C. Baker, Kevin P. McSweeney, and Denise B. McCafferty. "Human Factors in Classification and Certification." In SNAME Maritime Convention. SNAME, 2005. http://dx.doi.org/10.5957/smc-2005-d20.
Full textReports on the topic "Snakes – Classification"
Agricultural land-use classification using landsat imagery data, and estimates of irrigation water use in Gooding, Jerome, Lincoln, and Minidoka counties, 1992 water year, Upper Snake River basin, Idaho and western Wyoming. US Geological Survey, 1997. http://dx.doi.org/10.3133/wri974115.
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