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Relevant bibliographies by topics / FOV PREDICTION

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Academic literature on the topic 'FOV PREDICTION'

Author: Grafiati

Published: 11 September 2023

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Books on the topic "FOV PREDICTION"

1

Houston, Walter. Central prediction systems for predicting specific course grades. American College Testing Program, 1988.

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2

Predicting Prehistory: Predictive models and field research methods for detecting prehistoric contexts. Museo e istituto fiorentino di preistoria "Paolo Graziosi,", 2015.

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3

Cherdanceva, Tat'yana, Vladimir Klimechev, and Igor' Bobrov. Pathological and molecular biological analysis of renal cell carcinoma. Diagnosis and prognosis. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1020785.

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The monograph is devoted to the study of pathomorphological and molecular-biological characteristics of renal cell carcinoma and peritumoral zone depending on the degree of malignancy, and determine prognostic significance of criteria for predicting the postoperative survival of patients. Of interest to urologists, oncologists, pathologists, researchers, graduate students, dealing with the diagnosis of renal cell carcinoma and subsequent prediction of postoperative survival of patients.

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4

Altmisdort, F. Nadir. Development of a new prediction algorithm and a simulator for the Predictive Read Cache (PRC). Naval Postgraduate School, 1996.

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5

Casey, Douglas R. Predictions for 1988. 2nd ed. KCI Communications, 1988.

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6

United States. National Weather Service, ed. National Centers for Environmental Prediction. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1996.

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7

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.

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8

Rathore, Santosh Singh, and Sandeep Kumar. Fault Prediction Modeling for the Prediction of Number of Software Faults. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7131-8.

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9

Hanson, R. Karl. Prediction statistics for psychological assessment. American Psychological Association, 2022. http://dx.doi.org/10.1037/0000275-000.

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10

Bolfarine, Heleno, and Shelemyahu Zacks. Prediction Theory for Finite Populations. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2904-9.

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