Academic literature on the topic 'Snails – Classification'
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Journal articles on the topic "Snails – Classification"
Oso, Opeyemi G., and Alex B. Odaibo. "Land use/land cover change, physico-chemical parameters and freshwater snails in Yewa North, Southwestern Nigeria." PLOS ONE 16, no. 2 (February 8, 2021): e0246566. http://dx.doi.org/10.1371/journal.pone.0246566.
Full textOkon, B., L. A. Ibom, A. Dauda, A. E. Bassey, M. O. Awodiran, and M. O. Etukudo. "Chromosome numbers, evolutionary relationships and divergence among three breeds of giant african land snails in Nigeria." Nigerian Journal of Animal Production 44, no. 4 (December 27, 2020): 1–10. http://dx.doi.org/10.51791/njap.v44i4.614.
Full textWhitin, David J., Heidi Mills, and Timothy O'Keefe. "Links to Literature: Exploring Subject Areas with a Counting Book." Teaching Children Mathematics 1, no. 3 (November 1994): 170–74. http://dx.doi.org/10.5951/tcm.1.3.0170.
Full textBRATT, ALBERTUS D., LLOYD V. KNUTSON, WILLIAM L. MURPHY, and ANTHONY A. DANIELS. "Biology, immature stages, and systematics of snail-killing flies of the genus Colobaea (Diptera: Sciomyzidae), with overviews of aspects of the tribe Sciomyzini." Zootaxa 4840, no. 1 (August 31, 2020): 1–64. http://dx.doi.org/10.11646/zootaxa.4840.1.1.
Full textAfiukwa, F. N., D. E. Nwele, O. E. Uguru, G. A. Ibiam, C. S. Onwe, A. U. Ikpo, N. B. Agumah, and O. F. Odoemena. "Transmission Dynamics of Urogenital Schistosomiasis in the Rural Community of Ebonyi State, South Eastern Nigeria." Journal of Parasitology Research 2019 (January 1, 2019): 1–8. http://dx.doi.org/10.1155/2019/7596069.
Full textPuillandre, N., T. F. Duda, C. Meyer, B. M. Olivera, and P. Bouchet. "One, four or 100 genera? A new classification of the cone snails." Journal of Molluscan Studies 81, no. 1 (September 5, 2014): 1–23. http://dx.doi.org/10.1093/mollus/eyu055.
Full textBaker, Frank Collins. "33. The Classification of the Large Planorboid Snails of Europe and America." Proceedings of the Zoological Society of London 101, no. 2 (August 21, 2009): 575–92. http://dx.doi.org/10.1111/j.1096-3642.1931.tb01033.x.
Full textApostolou, Konstantinos, Alexandra Staikou, Smaragda Sotiraki, and Marianthi Hatziioannou. "An Assessment of Snail-Farm Systems Based on Land Use and Farm Components." Animals 11, no. 2 (January 21, 2021): 272. http://dx.doi.org/10.3390/ani11020272.
Full textSullivan, Robert M. "Phylogenetic relationships among subclades within the Trinity bristle snail species complex, riverine barriers, and re-classification." California Fish and Wildlife Journal, CESA Special Issue (July 6, 2021): 107–45. http://dx.doi.org/10.51492/cfwj.cesasi.6.
Full textStelbrink, Björn, Romy Richter, Frank Köhler, Frank Riedel, Ellen E. Strong, Bert Van Bocxlaer, Christian Albrecht, et al. "Global Diversification Dynamics Since the Jurassic: Low Dispersal and Habitat-Dependent Evolution Explain Hotspots of Diversity and Shell Disparity in River Snails (Viviparidae)." Systematic Biology 69, no. 5 (February 15, 2020): 944–61. http://dx.doi.org/10.1093/sysbio/syaa011.
Full textDissertations / Theses on the topic "Snails – Classification"
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 textNaranjo-Garcia, Edna. "Systematics and biogeography of the Helminthoglyptidae of Sonora." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184460.
Full textPyron, 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 textPrévot, Vanya. "Exploring the taxonomy of a facultative selfing, polymorphic land snail: the genus Rumina, Gastropoda Pulmonata." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209873.
Full textDoctorat en Sciences
info:eu-repo/semantics/nonPublished
Kienel, 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 textMondal, Sukanta. "Contributions To Venominformatics : Sequence-Structure-Function Studies Of Toxins From Marine Cone Snails. Application Of Order-Statistics Filters For Detecting Membrane-Spanning Helices." Thesis, 2007. http://hdl.handle.net/2005/566.
Full textchang, chia-hao, and 張家豪. "Using Spatial Information System for Aquatic Microhabitat Selection and Classification of Semi-aquatic snakes." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/09882874596258789327.
Full text華梵大學
環境與防災設計學系碩士班
94
Due to highly disturbances from human developments, wetlands that are rich in ecological values are being destroyed and the number of related organisms is reduced. Analyzing the sensitive species and their habitat can improvement not only the understandings of how those sensitive species choose their microhabitat but also reflect minor changes of the environment resulting from human disturbances, hence, achieves the goal of monitoring environmental changes. This research used the semi-aquatic snakes’ survey data and the aquatic microhabitat factors to analyze the spatial distribution and the micro-habitat selection of semi-aquatic snakes. We also estimated the benefit of using multi-spectral images in aquatic microhabitat classification. Study area was located in Tau-Yuan County, where two kinds of funnel traps were set up in bogs and ponds. A total of 105 funnel traps including 15 sinking funnel traps and 90 floating funnel traps were used for capture of semi-aquatic snakes. From Sep. 2004 to Sep. 2005, a total of 49 male and 34 female Xenochrophis piscator, a total of 181 individuals, were captured. And 33 male and 36 female Sinonatrix annularis, a total of 118 individuals, were captured. Physical microhabitat factors such as water depth, mud thickness, aquatic vegetation coverage, canopy closure, grass height were measured 1 m2 around traps. The geographic information system (GIS) were used to calculate disturbance factors such as distance to lands, distance to shores, distance to houses, distance to roads, and distance to farmlands. The multivariate analyses were conducted to understand the relationship between these ten microhabitat factors and semi-aquatic snakes’ appearance frequency. Results showed that in the ponds, water depth, aquatic vegetation coverage, and distance to houses were the main microhabitat factors for X. piscator, and water depth and canopy closure were the main factors for S. annularis. In bogs, canopy closure and distance to houses were the main factors that influenced X. piscator’s microhabitat selection and water depth and distance to houses were the main factors that influenced S. annularis’s habitat selection. If the two habitat types were combined, only water depth was highly related to the appearance frequencies of the two surveyed semi-aquatic snakes. Therefore, the water depth alone was used to classify microhabitat types for ponds. Two algorisms, i.e., the maximum likely hood and minimum distance, were used for supervised classifications of multi-spectral images. The classification result showed that when few spatial pixels were available, the maximum likely hood cannot be performed. The overall accuracy of minimum distance was 70%. Different water depths were successfully classified into classes such as shallow water (water depth under 30cm), middle water (water depth 30cm~60cm), and deep water (90cm~120cm) with accuracies of 66.67%, 85.71% and 100%, respectively. Overall, the depth of water was the main microhabitat factor for both X. piscator and S. annularis in wetland habitat as a whole. Canopy coverage and aquatic vegetation may have played a minor role in microhabitat selection for X. piscator and S. annularis in different area. Both X. piscator and S. annularis appeared in the same location but may have occupied different depth of water. The human disturbances may have decreased X. piscator but increase S. annularis population. If the water depth were to be used as the major microhabitat classification factor, the multi-spectral images can be used to classify area microhabitat successfully.
Books on the topic "Snails – Classification"
G, Thompson Fred. Land snails of the genus Coelocentrum from northeastern Mexico. Gainesville: University of Florida, 1994.
Find full textMitra, S. C. Indian land snails: S[e]lected species : pictorial handbook. Kolkata: Zoological Survey of India, 2005.
Find full textG, Thompson Fred. The hollow-ribbed land snails of the genus Coelostemma of the southwestern United States and Mexico. Gainesville: University of Florida, 1988.
Find full textThompson, Fred G. Giant carnivorous land snails from Mexico and Central America. Gainesville, FL: University of Florida, 1987.
Find full textRamakrishna. Annotated checklist of Indian land molluscs. Kolkata: Zoological Survey of India, 2010.
Find full textRoth, Barry. Checklist of the land snails and slugs of California. 2nd ed. Santa Barbara, CA: Santa Barbara Museum of Natural History, 2007.
Find full textRoth, Barry. Checklist of the land snails and slugs of California. 2nd ed. Santa Barbara, Calif: Santa Barbara Museum of Natural History, 2006.
Find full textHershler, Robert. Annotated checklist of freshwater truncatelloidean gastropods of the western United States, with an illustrated key to the genera. Denver, Colorado: Bureau of Land Management National Operation Center, Information and Publishing Services Section, 2017.
Find full textW, Taylor D. Pecosorbis, a new genus of fresh-water snails (Planorbidae) from New Mexico. Socorro: New Mexico Bureau of Mines & Mineral Resources, 1985.
Find full textG, Thompson Fred. A review of the land snails of Mona Island, West Indies. Gainesville, Fla: Florida State Museum, University of Florida, 1987.
Find full textBook chapters on the topic "Snails – Classification"
Sejdić, 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 textWest-Eberhard, Mary Jane. "Heterochrony." In Developmental Plasticity and Evolution. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195122343.003.0019.
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 textConference papers on the topic "Snails – Classification"
Alzu'bi, Shadi, Omar Badarneh, Bilal Hawashin, Mahmoud Al-Ayyoub, Nouh Alhindawi, and Yaser Jararweh. "Multi-Label Emotion Classification for Arabic Tweets." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931715.
Full textRazaque, Abdul, A. Kanapina, M. Sailaubek, D. Tsoy, Z. Turganov, Muder Almiani, Fathi Amsaad, and Mohammad Adnan Almahamed. "Pair Data Division Algorithm For Handling Data Classification." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931871.
Full textElbes, Mohammed, Amal Aldajah, and Odai Sadaqa. "P-Stemmer or NLTK Stemmer for Arabic Text Classification?" In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931818.
Full textStoehr, Niklas, Luis Sanchez, Daniil Gannota, and Fabian Falck. "From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931853.
Full textYue, Wang, and Lei Li. "Sentiment Analysis using Word2vec-CNN-BiLSTM Classification." In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020. http://dx.doi.org/10.1109/snams52053.2020.9336549.
Full textSheikh, Nasrullah, Zekarias T. Kefato, and Alberto Montresor. "Semi-Supervised Heterogeneous Information Network Embedding for Node Classification Using 1D-CNN." In 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2018. http://dx.doi.org/10.1109/snams.2018.8554840.
Full textAl Kilani, Nadeem, Rami Tailakh, and Abualsoud Hanani. "Automatic Classification of Apps Reviews for Requirement Engineering: Exploring the Customers Need from Healthcare Applications." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931820.
Full textSalesi, Sadegh, Ali A. Alani, and Georgina Cosma. "A Hybrid Model for Classification of Biomedical Data Using Feature Filtering and a Convolutional Neural Network." In 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2018. http://dx.doi.org/10.1109/snams.2018.8554958.
Full textZarzour, Hafed, Bashar Al shboul, Mahmoud Al-Ayyoub, and Yaser Jararweh. "A convolutional neural network-based reviews classification method for explainable recommendations." In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020. http://dx.doi.org/10.1109/snams52053.2020.9336529.
Full textPeluso, Valentino, Roberto G. Rizzo, Antonio Cipolletta, and Andrea Calimera. "Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets." In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2019. http://dx.doi.org/10.1109/snams.2019.8931889.
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