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Thematische Bibliographien / Skinks Classification

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Auswahl der wissenschaftlichen Literatur zum Thema „Skinks Classification“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 31. Januar 2023

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Zeitschriftenartikel zum Thema "Skinks Classification"

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Freitas, Elyse S., Aniruddha Datta-Roy, Praveen Karanth, L. Lee Grismer, and Cameron D. Siler. "Multilocus phylogeny and a new classification for African, Asian and Indian supple and writhing skinks (Scincidae: Lygosominae)." Zoological Journal of the Linnean Society 186, no. 4 (April 5, 2019): 1067–96. http://dx.doi.org/10.1093/zoolinnean/zlz001.

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AbstractThe genera Lepidothyris, Lygosoma and Mochlus comprise the writhing or supple skinks, a group of semi-fossorial, elongate-bodied skinks distributed across the Old World Tropics. Due to their generalized morphology and lack of diagnostic characters, species- and clade-level relationships have long been debated. Recent molecular phylogenetic studies of the group have provided some clarification of species-level relationships, but a number of issues regarding higher level relationships among genera still remain. Here we present a phylogenetic estimate of relationships among species in Lyg

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HEDGES, S. BLAIR. "The high-level classification of skinks (Reptilia, Squamata, Scincomorpha)." Zootaxa 3765, no. 4 (February 19, 2014): 317. http://dx.doi.org/10.11646/zootaxa.3765.4.2.

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SHEA, GLENN M. "Nomenclature of supra-generic units within the Family Scincidae (Squamata)." Zootaxa 5067, no. 3 (November 11, 2021): 301–51. http://dx.doi.org/10.11646/zootaxa.5067.3.1.

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The modern classification of skinks is based on a nomenclature that dates to the 1970s. However, there are a number of earlier names in the family group that have been overlooked by recent workers. These names are identified and their validity with respect to the International Code of Zoological Nomenclature investigated, along with their type genera. In most cases, use of these names to supplant junior synonyms in modern day use is avoidable by use of the Reversal of Precedence articles of the Code, but the names remain available in case of future divisions at the tribe and subtribe level. Ot

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Prokof’eva, Tatiana V. "Experience of the teaching of soil classification systems to students at different stages of education (Faculty of Soil Science, LMSU, Russia)." Bulletin of Geography. Physical Geography Series 14, no. 1 (June 1, 2018): 85–90. http://dx.doi.org/10.2478/bgeo-2018-0008.

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Abstract Soil classification systems provide a common language for scientific communication, represent the diversity of soils and create a scientific basis for soil management, monitoring and conservation. There are several soil classifications currently in use in Russia. Teaching soil systematics to students at the Faculty of Soil Science of the LMSU has developed over the years to meet specific requirements at different stages of education. Students learn to use and correlate different classification systems. Bachelor’s students study classifications to enable professional communication and

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Nuriddinova, Madinabonu. "Classification Of Genres In Multimedia Journalism." American Journal of Social Science and Education Innovations 02, no. 11 (November 23, 2020): 112–18. http://dx.doi.org/10.37547/tajssei/volume02issue11-19.

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Тhe article focuses on multimedia issues that are gaining popularity in journalism. It also includes analysis of increasingly popular multimedia articles online, classification of multimedia genres, and transformation issues. Online format of data journalism, journalistic skills, classification online data materials are also covered in it. The virtual network genres are covered with a basis of extensive examples.

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Rohman, Abdul. "Implementasi Teori Pembelajaran Blended Learning dalam Menyeimbangkan Kapabilitas Belajar pada Era Digital (Studi Kasus di Prodi PAI Universitas Alma Ata Yogyakarta)." An-Nuha : Jurnal Kajian Islam, Pendidikan, Budaya dan Sosial 7, no. 1 (July 15, 2020): 33–51. http://dx.doi.org/10.36835/annuha.v7i1.343.

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Blended learning learning pattern is a combination of conventional learning patterns and e-learning. The concept of blended learning applied at the University of Alma-ata uses the WEB system with a composition of blended learning patterns, 75% for conventional learning and 25% for e-learning. The implementation of the blended learning theory in balancing learning capabilities includes two classifications. Learning capabilities include five aspects, namely verbal information, cognitive strategies, intellectual skills, attitudes and motor skills. The five capabilities are divided into two classi

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Lavrentyeva, O. O. "TO THE CLASSIFICATION OF SKILLS." Educational Dimension 4 (December 26, 2002): 364–70. http://dx.doi.org/10.31812/educdim.5121.

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Author o f the article analyses the formation etymology such as action, operation, reception, skills basing on activity approach. By author's opinion intellectual skills are the special class in structure of people experience and can’t be interpreted neither as mental nor as thought.

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Belogurov, Anatoly, and Margarita Marushina. "Classification of corporate Executive training programs and clusters of competencies developed in them." KANT 35, no. 2 (June 2020): 189–95. http://dx.doi.org/10.24923/2222-243x.2020-35.39.

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The purpose of this paper is to propose a classification of corporate education programs for executives and talent reserve based on the revealed characteristics of such programs. The study explores existing Russian and foreign research literature, is based on authors' experience in development and implementation of such programs in a corporate academy, a business-school and in corporate universities, and also analyzes the content of other executive education programs provided by leading Russian corporate education organizations. Analysis of executive education programs classifications in forei

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Sriwong, Kittipat, Supaporn Bunrit, Kittisak Kerdprasop, and Nittaya Kerdprasop. "Dermatological Classification Using Deep Learning of Skin Image and Patient Background Knowledge." International Journal of Machine Learning and Computing 9, no. 6 (December 2019): 862–67. http://dx.doi.org/10.18178/ijmlc.2019.9.6.884.

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BEKTAŞ, Nurettin, Sümeyra BEKTAŞ, and Arda ÖZTÜRK. "INVESTIGATION OF THE PROBLEM SOLVING AND DECISION-MAKING SKILLS OF KARATE REFEREES." International Refereed Journal of Humanities and Academic Sciences, no. 27 (2022): 0. http://dx.doi.org/10.17368/uhbab.2022.27.01.

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Aim: The aim of this research is to examine the problem-solving skills and decision-making levels of karate referees. Method: The research group consists of 410 (161 female and 249 male) karate referees from different classifications who worked in the Turkish Karate Federation in the 2020-2021 season. As a data collection tool, the 35-item “Problem Solving Inventory” developed by Heppner and Petersen (1982) and adapted into Turkish by Taylan (1990) and the original Mann. et al. (1998) and adapted into Turkish by Deniz (2004) "Melbourne Decision Making Scale I-II" (MKVÖ) was used. Independent S

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Dissertationen zum Thema "Skinks Classification"

1

Al-Anezi, Yousuf. "Computer based learning environment for mathematical classification skills." Thesis, University of Leeds, 1994. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666890.

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Viana, Joaquim Mesquita da Cunha. "Classification of skin tumours through the analysis of unconstrained images." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/2400.

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Skin cancer is the most frequent malignant neoplasm for Caucasian individuals. According to the Skin Cancer Foundation, the incidence of melanoma, the most malignant of skin tumours, and resultant mortality, have increased exponentially during the past 30 years, and continues to grow. [1]. Although often intractable in advanced stages, skin cancer in general and melanoma in particular, if detected in an early stage, can achieve cure ratios of over 95% [1,55]. Early screening of the lesions is, therefore, crucial, if a cure is to be achieved. Most skin lesions classification systems rely on a h

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Wan, Fengkai. "Deep Learning Method used in Skin Lesions Segmentation and Classification." Thesis, KTH, Medicinsk teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233467.

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Malignant melanoma (MM) is a type of skin cancer that is associated with a very poor prognosis and can often lead to death. Early detection is crucial in order to administer the right treatment successfully but currently requires the expertise of a dermatologist. In the past years, studies have shown that automatic detection of MM is possible through computer vision and machine learning methods. Skin lesion segmentation and classification are the key methods in supporting automatic detection of different skin lesions. Compared with traditional computer vision as well as other machine learning

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Dhinagar, Nikhil J. "Non-Invasive Skin Cancer Classification from Surface Scanned Lesion Images." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1366384987.

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Moulis, Armand. "Automatic Detection and Classification of Permanent and Non-Permanent Skin Marks." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138132.

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When forensic examiners try to identify the perpetrator of a felony, they use individual facial marks when comparing the suspect with the perpetrator. Facial marks are often used for identification and they are nowadays found manually. To speed up this process, it is desired to detect interesting facial marks automatically. This master thesis describes a method to automatically detect and separate permanent and non-permanent marks. It uses a fast radial symmetry algorithm as a core element in the mark detector. After candidate skin mark extraction, the false detections are removed depending on

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Ridell, Patric, and Henning Spett. "Training Set Size for Skin Cancer Classification Using Google’s Inception v3." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209443.

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Today, computer aided diagnosis (CADx) is a common occurrence in hospitals. With image recognition, computers are able to detect signs of breast cancer and different kinds of lung diseases. For a convolutional neural network (CNN) that classifies images, the accuracy depends on the amount of data it is trained on and performs better as the amount of training data increase. This introduces a need for relevant images for the classes the classifier is supposed to differentiate between. However, when input data is increased, so does the computational cost, leading to a trade-off between accuracy a

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Boman, Joakim, and Alexander Volminger. "Evaluating a deep convolutional neural network for classification of skin cancer." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229740.

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Computer-aided diagnosis (CAD) has become an important part of themedical field. Skin cancer is a common and deadly disease that a CADsystem could potentially detect. It is clearly visible on the skin andtherefore only images of skin lesions could be used in order to pro-vide a diagnosis. In 2017, a research group at Stanford University de-veloped a deep convolutional neural network (CNN) that performedbetter than dermatologists during classification of skin lesions.This thesis makes an attempt at implementing the method pro-vided in the Stanford report and evaluate the performance of the CNNd

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Sahlgren, Michaela, and Nour Alhunda Almajni. "Skin Cancer Image Classification with Pre-trained Convolutional Neural Network Architectures." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259622.

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In this study we compare the performance of different pre-trained deep convolutional neural network architectures on classification of skin lesion images. We analyse the ISIC skin cancer image dataset. Our results indicate that the architectures analyzed achieve similar performance, with each algorithm reaching a mean five-fold cross-validation ROC AUC value between 0.82 and 0.89. The VGG-11 architecture achieved highest performance, with a mean ROC AUC value of 0.89, despite the fact that it performs considerably worse than some of other architectures on the ILSVRC task. Overall, our results

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Almasiri, osamah A. "SKIN CANCER DETECTION USING SVM-BASED CLASSIFICATION AND PSO FOR SEGMENTATION." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5489.

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Various techniques are developed for detecting skin cancer. However, the type of maligned skin cancer is still an open problem. The objective of this study is to diagnose melanoma through design and implementation of a computerized image analysis system. The dataset which is used with the proposed system is Hospital Pedro Hispano (PH²). The proposed system begins with preprocessing of images of skin cancer. Then, particle swarm optimization (PSO) is used for detecting the region of interest (ROI). After that, features extraction (geometric, color, and texture) is taken from (ROI). Lastly, feat

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Inal, Aydin. "Practical science process skills in physics, with special reference to test item assessment and classification." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/11566.

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Bibliography: leaves 207-218.<br>This study describes the development, validation, classification, administration and assessment of a compact programme of ten core practical task items chosen from a pool of 33 practical tasks developed for the purpose of this study in basic school physical science. The practical items encouraged and measured various science process skills laid out in the South African Revised National Curriculum Statement Draft. The derivation and classification of the specially designed diagnostic practical task items by experienced lecturers, teachers and academics constitut

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Bücher zum Thema "Skinks Classification"

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Ouboter, Paul E. A revision of the genus Scincella (Reptilia, Sauria, Scincidae) of Asia, with some notes on its evolution. Leiden: Rijksmuseum van Natuurlijke Historie, 1986.

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Towns, D. R. A field guide to the lizards of New Zealand. 2nd ed. Wellington: Dept. of Conservation, 1988.

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Zug, George R. Systematics of the Carlia "fusca" lizards (Squamata:Scincidae) of New Guinea and nearby islands. Honolulu: Bishop Museum Press, 2004.

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Zug, George R. Systematics of the Carlia "fusca" lizards (Squamata: Scincidae) of New Guinea and nearby islands. Honolulu: Bishop Museum Press, 2004.

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Fortune, Christopher Joseph. The investigation and classification of measurement skills. Salford: University of Salford, 1993.

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Claybourne, Anna. Can you tell a skink from a salamander?: Classification. Chicago, Ill: Raintree, 2005.

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Zanzibar. Wizara ya Elimu, Utamaduni na Michezo. Second status report: Occupational analyses : technical support services for the establishment and operation skills development centres in Zanzibar. Zanzibar: Ministry of Education, Culture, and Sports, 2005.

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Claybourne, Anna. Can you tell a skink from a salamander? Oxford: Raintree, 2006.

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Roper, Clyde F. E. Comparative morphology and function of dermal structures in oceanic squids (Cephalopoda). Washington, D.C: Smithsonian Institution Press, 1990.

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Goyhman, Oskar. Organization and holding of events. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1071381.

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Every day around the world held a lot of events: exhibitions, conferences, presentations, festivals, etc. which requires professional skills, communication skills and creativity. In the textbook are given classification of activities, the technology for phased development and examples of some of them. Meets the requirements of Federal state educational standards of higher education of the last generation. Designed for students on specialties and directions of the service sector, and also for teachers, professionals, various agencies and all who have to organize events.

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Buchteile zum Thema "Skinks Classification"

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Obagi, Zein E. "Skin Classification." In Obagi Skin Health Restoration and Rejuvenation, 65–85. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-0-387-21801-4_5.

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Hermanek, P., and L. H. Sobin. "Skin Tumours." In TNM Classification of Malignant Tumours, 83–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-82982-6_6.

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Zhang, Susu, Jeff Douglas, Shiyu Wang, and Steven Andrew Culpepper. "Reduced Reparameterized Unified Model Applied to Learning Spatial Rotation Skills." In Handbook of Diagnostic Classification Models, 503–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05584-4_24.

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Hassan, Rola, Hanan Faruqui, Reem Alquraa, Ayman Eissa, Fatma Alshaiki, and Mohamed Cheikh. "Classification Criteria and Clinical Practice Guidelines for Rheumatic Diseases." In Skills in Rheumatology, 521–66. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8323-0_25.

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AbstractRheumatic diseases have many classification criteria and management guidelines that are continuously being updated in order to improve the quality of healthcare provision. With these ever-evolving criteria and guidelines, practicing clinicians need an easy way to get to the core of these updates and to retain them in an easy and memorable way. Classification criteria are meant to differentiate between similar diseases and also to confirm or rule out a certain disease based on inclusion and exclusion criteria. The diagnosis of rheumatic diseases can be challenging since many clinical signs and symptoms as well as many laboratory markers are not specific and can be positive in many diseases.

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Hexsel, Doris, Camile L. Hexsel, and Fernanda Naspolini Bastos. "Cellulite: Classification and Scoring." In Measuring the Skin, 1–5. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26594-0_93-1.

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Humbert, Philippe. "Classification of Facial Wrinkling." In Measuring the skin, 698–703. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08585-1_74.

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Hexsel, Doris, Camile L. Hexsel, and Fernanda Naspolini Bastos. "Cellulite: Classification and Scoring." In Agache's Measuring the Skin, 1385–89. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32383-1_93.

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Xu, Xueli, and Matthias von Davier. "Applying the General Diagnostic Model to Proficiency Data from a National Skills Survey." In Handbook of Diagnostic Classification Models, 489–501. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05584-4_23.

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Manzato, Emilia. "Classification of Eating Disorders." In Eating Disorders and the Skin, 3–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29136-4_1.

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Bonham, Mary Ben. "Double-Skin Façade Classifications." In Bioclimatic Double-Skin Façades, 41–75. New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9781315661384-3.

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Konferenzberichte zum Thema "Skinks Classification"

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Zhmakina, N. L., and K. S. Zdorovenko. "THE THEORETICAL STUDY OF THIRD-GRADERS’ COGNITIVE UNIVERSAL LEARNING SKILLS FORMATION TO SOLVE PROBLEMS IN MATH LESSONS." In Культура, наука, образование: проблемы и перспективы. Нижневартовский государственный университет, 2021. http://dx.doi.org/10.36906/ksp-2021/48.

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This article shows the theoretical basis of third-graders’ cognitive universal learning skills formation to solve problems. It describes the structure of problem-solving skills, classification of problems, solutions of problems, techniques that are used by primary school teachers, coordination between cognitive universal learning skills, and stages of problem-solving.

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Kumar, Ayushi, Ari Kapelyan, and Avimanyou K. Vatsa. "Classification of Skin Phenotype: Melanoma Skin Cancer." In 2021 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2021. http://dx.doi.org/10.1109/isec52395.2021.9763999.

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Ginigaddara, B., S. Perera, Y. Feng, and P. Rahnamayiezekavat. "Offsite construction skills prediction: A conceptual model." In 10th World Construction Symposium. Building Economics and Management Research Unit (BEMRU), University of Moratuwa, 2022. http://dx.doi.org/10.31705/wcs.2022.52.

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Industry 4.0 driven technological advancements have accelerated the uptake of Offsite Construction (OSC), causing the need for re-skilling, up-skilling, and multi-skilling traditional onsite construction skills and competencies. The purpose of this paper is to develop a conceptual model that predicts OSC skills as a response to the OSC demand. The paper is a theoretical presentation of a skill profile prediction model which introduces the key concepts, OSC typology, OSC skill classification and their relationships. Components, panels, pods, modules, and complete buildings represent the OSC typ

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Bissoto, Alceu, and Sandra Avila. "Improving Skin Lesion Analysis with Generative Adversarial Networks." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12986.

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Melanoma is the most lethal type of skin cancer. Early diagnosis is crucial to increase the survival rate of those patients due to the possibility of metastasis. Automated skin lesion analysis can play an essential role by reaching people that do not have access to a specialist. However, since deep learning became the state-of-the-art for skin lesion analysis, data became a decisive factor in pushing the solutions further. The core objective of this M.Sc. dissertation is to tackle the problems that arise by having limited datasets. In the first part, we use generative adversarial networks to g

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Dubal, Pratik, Sankirtan Bhatt, Chaitanya Joglekar, and Sonali Patil. "Skin cancer detection and classification." In 2017 6th International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2017. http://dx.doi.org/10.1109/iceei.2017.8312419.

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Gouda, Niharika, and J. Amudha. "Skin Cancer Classification using ResNet." In 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA). IEEE, 2020. http://dx.doi.org/10.1109/iccca49541.2020.9250855.

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Ojha, Mritunjay Kumar, Dilrose Reji Karakattil, Akshat Devendra Sharma, and Sneha Mary Bency. "Skin Disease Detection and Classification." In 2022 IEEE India Council International Subsections Conference (INDISCON). IEEE, 2022. http://dx.doi.org/10.1109/indiscon54605.2022.9862834.

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Chen, Wei, Mohsen Ardabilian, Abdelmalek Zine, and Hassan Zahouani. "Reflectance spectra based skin and non-skin classification." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7350900.

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Yoon, Sangho, Michael Harville, Harlyn Baker, and Nina Bhatii. "Automatic Skin Pixel Selection and Skin Color Classification." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.312630.

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Guo, Jiexin, and Prahlad G. Menon. "Feature Based Classification of Melanoma From Skin Images." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50055.

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Melanoma is one of the most deadly skin cancers and amounts for ∼79% of skin cancer deaths. Early detection and timely therapeutic action can reduce mortality owing to melanoma. In this study, we demonstrate the feasibility of our in-house skin image classification framework, trained based on a library of normal as well as pathological skin images, for automatic feature extraction and detection of melanoma. The described framework begins with active contour segmentation the skin images followed by extraction of both color and texture features from the segmented image and employs a neural netwo

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Berichte der Organisationen zum Thema "Skinks Classification"

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Sheehan, Kathleen, Kikumi Tatsuoka, and Charles Lewis. A Diagnostic Classification Model for Document Processing Skills. Fort Belvoir, VA: Defense Technical Information Center, October 1993. http://dx.doi.org/10.21236/ada273790.

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Altamirano, Álvaro, and Nicole Amaral. A Skills Taxonomy for LAC: Lessons Learned and a Roadmap for Future Users. Inter-American Development Bank, November 2020. http://dx.doi.org/10.18235/0002898.

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This note brings together lessons from the IDBs and other institutions efforts to adapt a skills taxonomy for Latin America and the Caribbean countries. These efforts have focused primarily on the ability to gather and make use of labor market information on skills demand from non-traditional data sources like online job vacancies. Most of these efforts have used the European Skills, Competences, Qualifications and Occupations (ESCO) taxonomy to underpin the identification and classification of skills. This note is intended to be a starting point and set of considerations for policymakers who

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Evans, Julie, Kendra Sikes, and Jamie Ratchford. Vegetation classification at Lake Mead National Recreation Area, Mojave National Preserve, Castle Mountains National Monument, and Death Valley National Park: Final report (Revised with Cost Estimate). National Park Service, October 2020. http://dx.doi.org/10.36967/nrr-2279201.

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Vegetation inventory and mapping is a process to document the composition, distribution and abundance of vegetation types across the landscape. The National Park Service’s (NPS) Inventory and Monitoring (I&M) program has determined vegetation inventory and mapping to be an important resource for parks; it is one of 12 baseline inventories of natural resources to be completed for all 270 national parks within the NPS I&M program. The Mojave Desert Network Inventory & Monitoring (MOJN I&M) began its process of vegetation inventory in 2009 for four park units as follows: Lake Mead

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Nechypurenko, Pavlo, Tetiana Selivanova, and Maryna Chernova. Using the Cloud-Oriented Virtual Chemical Laboratory VLab in Teaching the Solution of Experimental Problems in Chemistry of 9th Grade Students. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3175.

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The article discusses the importance of the skills of primary school students to solve experimental problems in chemistry and the conditions for the use of virtual chemical laboratories in the process of the formation of these skills. The concept of “experimental chemical problem” was analyzed, classifications were considered, and methodological conditions for using experimental chemical problems in the process of teaching chemistry were described. The essence of the concept of “virtual chemical laboratories” is considered and their main types, advantages and disadvantages that define the meth

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Kumar, Indraneel, Lionel Beaulieu, Annie Cruz-Porter, Chun Song, Benjamin St. Germain, and Andrey Zhalnin. An Assessment of the Workforce and Occupations in the Highway, Street, and Bridge Construction Industries in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284315018.

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This project explores workforce and occupations within the highway, street, and bridge construction industries (NAICS 237310) in Indiana. There are five specific deliverable comprised of three data reports, one policy document, and a website. The first data report includes an assessment of the workforce based on the eight-part framework, which are industry, occupations, job postings, hard-to-fill jobs, Classification of Instructional Programs (CIP), GAP Analysis, compatibility, and automation. The report defines a cluster followed by a detailed analysis of the occupations, skills, job postings

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Kiianovska, N. M. The development of theory and methods of using cloud-based information and communication technologies in teaching mathematics of engineering students in the United States. Видавничий центр ДВНЗ «Криворізький національний університет», December 2014. http://dx.doi.org/10.31812/0564/1094.

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The purpose of the study is the analysis of the development of the theory and methods of ICT usage while teaching higher mathematics engineering students in the United States. It was determined following tasks: to analyze the problem source, to identify the state of its elaboration, to identify key trends in the development of theory and methods of ICT usage while teaching higher mathematics engineering students in the United States, the object of study – the use of ICT in teaching engineering students, the research methods are: analysis of scientific, educational, technical, historical source

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