Relevant bibliographies by topics / Age estimation

Contents

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

Academic literature on the topic 'Age estimation'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Age estimation"

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KRYVENCHUK, Yurii, and Roman YAKYMIV. "CREATION OF AGE ESTIMATION SYSTEM." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (2022): 66–69. http://dx.doi.org/10.31891/2307-5732-2022-309-3-66-69.

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We are surrounded by different transmitting and processing information devices on a daily basis. Analysis of certain selected characteristics of each person allows humanity to achieve previously unthinkable technological development. In particular, the human face. We can predict a person’s age, determine his mood or identify someone in the crowd using modern algorithms. As a “window to the soul”, the human face provides important information related to its individual traits. With the help of this information, a person can determine such characteristics as ethnic origin, gender, age, and emotio
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Liversidge, Helen M., Jo Buckberry, and Nicholas Marquez-Grant. "Age estimation." Annals of Human Biology 42, no. 4 (2015): 299–301. http://dx.doi.org/10.3109/03014460.2015.1089627.

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Schmeling, A., G. Geserick, W. Reisinger, and A. Olze. "Age estimation." Forensic Science International 165, no. 2-3 (2007): 178–81. http://dx.doi.org/10.1016/j.forsciint.2006.05.016.

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Nanjundan, G. "A Note on the Estimation of the Age of a Galton-Watson Process." Mapana - Journal of Sciences 2, no. 1 (2003): 38–42. http://dx.doi.org/10.12723/mjs.3.4.

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Dr., Bilal Mukhtar Dr. Muddasar Hussain Dr. Usman Ali. "DIFFERENT METHODS OF AGE DETERMINATION." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 11 (2018): 13265–71. https://doi.org/10.5281/zenodo.1560598.

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<em>Age estimation provides a valuable tool in forensic cases. Various methods like morphological age, secondary sexual characters, skeletal age indicators and dental age indicators are used in the forensic investigation as well as in medico-legal cases. Morphological age and secondary sexual characters are not reliable factors for age estimation whereas skeletal age and dental age indicators provide valuable information. This article explains different methods of age estimation.</em> <strong><em>Keywords:</em></strong><em> Age estimation, Morphological age, Secondary Sexual Characters, Skelet
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Nayak, Dr Shruti D., Dr Renjith George, Dr Amarnath Shenoy, and Dr B. Shivapathasundaram Dr. B. Shivapathasundaram. "Age Estimation in Forensic Dentistry- A Review." International Journal of Scientific Research 3, no. 4 (2012): 333–38. http://dx.doi.org/10.15373/22778179/apr2014/117.

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Verma, Vivek, Dilip C. Nath, and S. N. Dwivedi. "Bayesian estimation of fertility rates under imperfect age reporting." Statistics in Transition new series 24, no. 2 (2023): 39–57. http://dx.doi.org/10.59170/stattrans-2023-019.

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This article outlines the application of the Bayesian method of parameter estimation to situations where the probability of age misreporting is high, leading to transfers of an individual from one age group to another. An essential requirement for Bayesian estimation is prior distribution, derived for both perfect and imperfect age reporting. As an alternative to the Bayesian methodology, a classical estimator based on the maximum likelihood principle has also been discussed. Here, the age misreporting probability matrix has been constructed using a performance indicator, which incorporates th
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Zhang, Huiying, Xin Geng, Yu Zhang, and Fanyong Cheng. "Recurrent age estimation." Pattern Recognition Letters 125 (July 2019): 271–77. http://dx.doi.org/10.1016/j.patrec.2019.05.002.

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Lanitis, Andreas. "Facial Age Estimation." Scholarpedia 5, no. 1 (2010): 9701. http://dx.doi.org/10.4249/scholarpedia.9701.

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Shang, Yanjie, Yakai Feng, Lipin Ren, et al. "Pupal Age Estimation of Sarcophaga peregrina (Diptera: Sarcophagidae) at Different Constant Temperatures Utilizing ATR-FTIR Spectroscopy and Cuticular Hydrocarbons." Insects 14, no. 2 (2023): 143. http://dx.doi.org/10.3390/insects14020143.

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Sarcophaga peregrina (Robineau-Desvoidy, 1830) (Diptera: Sarcophagidae) is a forensically important flesh fly that has potential value in estimating the PMImin. The precise pupal age estimation has great implications for PMImin estimation. During larval development, the age determination is straightforward by the morphological changes and variation of length and weight, however, the pupal age estimation is more difficult due to anatomical and morphological changes not being visible. Thus, it is necessary to find new techniques and methods that can be implemented by standard experiments for acc
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Dissertations / Theses on the topic "Age estimation"

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Khan, Muhammad Aurangzeb. "Automatic facial age estimation." Thesis, Lancaster University, 2015. http://eprints.lancs.ac.uk/76420/.

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The reliability of automatically estimating human ages, by processing input facial images, has generally been found to be poor. On other hand, various real world applications, often relating to safety and security, depend on an accurate estimate of a person’s age. In such situations, Face Image based Automatic Age Estimation (FI-AAE) systems which are more reliable and may ideally surpass human ability, are of importance as and represent a critical pre-requisite technology. Unfortunately, in terms of estimation accuracy and thus performance, contemporary FI-AAE systems are impeded by challenge
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Danielsson, Oscar. "Multimodal Brain Age Estimation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281834.

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Machine learning models trained on MRI brain scans of healthy subjects can be used to predict age. Accurate estimation of brain age is important for reliably detecting abnormal aging in the brain. One way to increase the accuracy of predicted brain age is through using multimodal data. Previous research using multimodal data has largely been non-deep learning-based; in this thesis, we examine a deep learning model that can effectively utilize several modalities. Three baseline models were trained. Two used T1-weighted and T2- weighted data, respectively. The third model was trained on both T1-
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Buckberry, Jo, and M. Brickley. "Estimation of juvenile age at death." CIFA, 2018. http://hdl.handle.net/10454/17519.

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CASTRO, JOSE DAVID BERMUDEZ. "AGE ESTIMATION FROM FACIALS IMAGES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25755@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Esta dissertação tem por objetivo investigar métodos de estimação da idade a partir de imagens faciais. Avalia-se o impacto de distintos fatores sobre a acurácia da estimativa, especificamente, a acurácia da localização de pontos fiduciais, métodos de extração de atributos, de redução de dimensionalidade, e técnicas de regressão. Adicionalmente, foi estudada a influência da raça e do sexo na acurácia da estimação da idade desenvolvido. Consid
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Heydenrych, Matthew James. "Epigenetic age estimation of cetaceans." Thesis, Curtin University, 2021. http://hdl.handle.net/20.500.11937/84801.

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Age is an important biological parameter which can be used to guide conservation. It is difficult to assess in wild populations, however, and especially in many cetacean species. Epigenetic analyses now offer an alternative for age estimation. In this thesis, I identified the benefits and considerations of epigenetic age estimators for cetaceans, developed a novel high-throughput sequencing workflow for homology-based epigenetic analyses, and successfully built age estimation assays for both sperm and Southern right whales.
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Wu, Yang-Huang. "Sequential estimation of age replacement policies." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA226614.

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Thesis (M.S. in Operations Research)-- Naval Postgraduate School, March 1990.<br>Thesis Advisor(s): Whitaker, Lyn R. Second Reader: Esary, James D. "March 1990." Description based on signature page as viewed on August 26, 2009. Author(s) subject terms: Sequential Estimation Procedure, Age Replacement Policy, Optimal Replacement, Preventive Maintenance. Includes bibliographical references (p. 54-55). Also available online.
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Ng, Choon Ching. "Face age estimation using wrinkle patterns." Thesis, Manchester Metropolitan University, 2015. http://e-space.mmu.ac.uk/595499/.

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Face age estimation is a challenging problem due to the variation of craniofacial growth, skin texture, gender and race. With recent growth in face age estimation research, wrinkles received attention from a number of research, as it is generally perceived as aging feature and soft biometric for person identification. In a face image, wrinkle is a discontinuous and arbitrary line pattern that varies in different face regions and subjects. Existing wrinkle detection algorithms and wrinkle-based features are not robust for face age estimation. They are either weakly represented or not validated
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Dissanayake, Lekamlage Dilukshi Charitha Subashini Dissanayake, and Fabia Afzal. "AI-based Age Estimation from Mammograms." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20108.

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Background: Age estimation has attracted attention because of its various clinical and medical applications. There are many studies on human age estimation from biomedical images such as X-ray images, MRI, facial images, dental images etc. However, there is no research done on mammograms for age estimation. Therefore, in our research, we focus on age estimation from mammogram images. Objectives: The purpose of this study is to make an AI-based model for estimating age from mammogram images based on the pectoral muscle segment and check its accuracy. At first, we segment the pectoral muscle fro
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Hackman, S. Lucina M. R. "Age estimation in the living : a test of 6 radiographic methods." Thesis, University of Dundee, 2012. https://discovery.dundee.ac.uk/en/studentTheses/b8281974-f44c-444d-b958-001ccfea451f.

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There is a growing recognition that there is a requirement for methods of age estimation of the living to be rigorously tested to ensure that they are accurate, reliable and valid for use in forensic and humanitarian age estimation. The necessity for accurate and reliable methods of age estimation are driven both by humanitarian, political and judicial need. Age estimation methods commonly in use today are based on the application of reference standards, known as atlases, which were developed using data collected from children who participated in longitudinal studies in the early to mid-1900s.
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Kemp, Bryn. "Gestational age estimation in resource poor settings." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:d9ce6416-c6b6-4c06-9992-90ddeaec14e7.

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<strong>Background and objectives:</strong> The incidence of preterm birth (PTB), and the extent to which it results in perinatal mortality in sub-Saharan Africa (sSA) is unclear, partly because reliable estimates of gestational age (GA) at birth are lacking. This research: 1) Describes how clinical and ultrasound (US) estimates of gestational age (GA) influence PTB rates and perinatal mortality amongst a population in Kilifi, Kenya; 2) Implements a novel PTB classification system as proof of concept that such systems are feasible in low-income settings, and 3) Presents two novel approaches fo
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Books on the topic "Age estimation"

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Black, Sue, Jason Payne-James, and Anil Aggrawal, eds. Age Estimation in the Living. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669785.

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Gwen, Robbins, and University of Allahabad. Dept. of Ancient History, Culture, and Archaeology., eds. Mesolithic Damdama, dental histology and age estimation. Dept. of Ancient History, Culture & Archaeology, University of Allahabad, 2003.

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Anil, Aggrawal, and Payne-James Jason, eds. Age estimation in the living: The practitioners guide. John Wiley & Sons Inc., 2011.

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Chesher, Andrew. Diet revealed?: Semiparametric estimation of nutrient intake-age relationships. University of Bristol, Department of Economics, 1996.

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Gruber, Jonathan. Social security programs and retirement around the world: Micro estimation. National Bureau of Economic Research, 2002.

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Pumpiched, Patchara. Sequential estimation of optimal age replacement policies when distribution of lifetimes is phase type. Naval Postgraduate School, 1992.

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Brochu, Melanie Louise. A comparison of two methods for age at death estimation by occlusal tooth wear. Laurentian University, Department of Biology, 2002.

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Burr, John M. Evaluations of introduced lake trout in the Tanana drainage, and estimation of mortality using maximum age analysis. Alaska Dept. of Fish and Game, Division of Sport Fish, 1993.

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Minard, R. Eric. Estimation of abundance, seasonal distribution, and size and age composition of rainbow trout in the Kvichak River, Alaska, 1986 to 1991. Alaska Dept. of Fish and Game, Division of Sport Fish, 1992.

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Mayo, R. K. Estimation of standardized otter trawl effort, landings per unit effort, and landings at age for Gulf of Maine and Georges Bank cod. NOAA/National Marine Fisheries Service, Northeast Fisheries Science Center, Conservation and Utilization Division, 1994.

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Book chapters on the topic "Age estimation"

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Black, Sue. "Age Estimation." In Encyclopedia of Global Archaeology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30018-0_141.

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Black, Sue. "Age Estimation." In Encyclopedia of Global Archaeology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51726-1_141-2.

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Guo, Guodong. "Age Estimation." In Encyclopedia of Biometrics. Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_9216-1.

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Black, Sue. "Age Estimation." In Encyclopedia of Global Archaeology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4419-0465-2_141.

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Rötzscher, Klaus. "Age Estimation." In Forensic and Legal Dentistry. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01330-5_19.

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Guo, Guodong. "Age Estimation." In Encyclopedia of Biometrics. Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_9216.

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Rai, Balwant, and Jasdeep Kaur. "Dental Age Estimation." In Evidence-Based Forensic Dentistry. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28994-1_3.

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Cameron, Noël, and Laura L. Jones. "Growth, Maturation and Age." In Age Estimation in the Living. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669785.ch7.

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Black, Sue, and George Maat. "Principles of Physical Age Estimation." In Age Estimation in the Living. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669785.ch6.

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Hackman, S. Lucina, Alanah Buck, and Sue Black. "Age Evaluation from the Skeleton." In Age Estimation in the Living. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669785.ch11.

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Conference papers on the topic "Age estimation"

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Ammous, Donia, Fahmi Kammoun, and Nouri Masmoudi. "Deep Learning for age Estimation." In 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP). IEEE, 2024. http://dx.doi.org/10.1109/atsip62566.2024.10638934.

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Reddy, Gaddam Jaswanth, Srujan Bendili, Vinodha D, Jenefa J, Rakoth Kandan Sambandam, and Divya Vetriveeran. "Deep Learning Based Age Estimation Model." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545269.

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Rathore, Shweta Singh, and Smriti Sehgal. "Human age estimation using AGES pattern." In 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence). IEEE, 2016. http://dx.doi.org/10.1109/confluence.2016.7508174.

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Alnajar, Fares, Zhongyu Lou, Jose Alvarez, and Theo Gevers. "Expression-Invariant Age Estimation." In British Machine Vision Conference 2014. British Machine Vision Association, 2014. http://dx.doi.org/10.5244/c.28.14.

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Huo, Zengwei, Xu Yang, Chao Xing, et al. "Deep Age Distribution Learning for Apparent Age Estimation." In 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2016. http://dx.doi.org/10.1109/cvprw.2016.95.

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Moreira, Danilo Coura, Eanes Torres Pereira, and Marco Alvarez. "Improving Real Age Estimation from Apparent Age Data." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533308.

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Hironobu Fukai, Hironori Takimoto, Yasue Mitsukura, and Minoru Fukumi. "Apparent age estimation system based on age perception." In SICE Annual Conference 2007. IEEE, 2007. http://dx.doi.org/10.1109/sice.2007.4421466.

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Ng, Choon-Ching, Yi-Tseng Cheng, Gee-Sern Hsu, and Moi Hoon Yap. "Multi-layer age regression for face age estimation." In 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA). IEEE, 2017. http://dx.doi.org/10.23919/mva.2017.7986859.

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Lu, Jiwen, and Yap-Peng Tan. "Gait-based human age estimation." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495473.

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Zheng, Tianyue, Weihong Deng, and Jiani Hu. "Deep probabilities for age estimation." In 2017 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2017. http://dx.doi.org/10.1109/vcip.2017.8305123.

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Reports on the topic "Age estimation"

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Hanaoka, Kayee. Face Analysis Technology Evaluation: Age Estimation and Verification. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8525.

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Bloom, David. On the Nature and Estimation of Age. Period, and Cohort Effects in Demographic Data. National Bureau of Economic Research, 1985. http://dx.doi.org/10.3386/w1700.

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Payne, Krista. Median Age at First Marriage, 2019. National Center for Family and Marriage Research, 2021. http://dx.doi.org/10.25035/ncfmr/fp-21-12.

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The median age at first marriage in the United States has increased steadily since the mid-20th century. In the mid-1950s, the median age was at a record low of just over 20 for women and 22 for men, but by 2020, the median age was 28 for women and 30 for men (see Figure 1). The median age at first marriage has increased similarly for both men and women. Consequently, the gender gap in the median age at first marriage has persisted, fluctuating between 1.6 and 2.7 years. This profile uses data from the 2019 American Community Survey (ACS), 1-year estimates to track the trends in women’s and me
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Yang, Yu, Hen-Geul Yeh, and Cesar Ortiz. Battery Management System Development for Electric Vehicles and Fast Charging Infrastructure Improvement. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2325.

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The electric vehicle (EV) has become increasingly popular due to its being zero-emission. However, a significant challenge faced by EV drivers is the range anxiety associated with battery usage. Addressing this concern, this project develops a more efficient battery management system (BMS) for electric vehicles based on a real-time, state-of-charge (SOC) estimation. The proposed study delivers three modules: (1) a new equivalent circuit model (ECM) for lithium-ion batteries, (2) a new SOC estimator based on the moving horizon method, and (3) an on-board FPGA implementation of the classical Cou
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Balani, Suman, Hetashvi Sudani, Sonali Nawghare, and Nitin Kulkarni. ESTIMATION OF FETAL WEIGHT BY CLINICAL METHOD, ULTRASONOGRAPHY AND ITS CORRELATION WITH ACTUAL BIRTH WEIGHT IN TERM PREGNANCY. World Wide Journals, 2023. http://dx.doi.org/10.36106/ijar/6907486.

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Introduction: The Accurate estimation of foetal weight is of paramount importance in modern obstetrics for management of labour and delivery. During the past two decades estimated foetal weight is incorporated into the standard routine antepartum evaluation of high-risk pregnancy &amp; deliveries. Present study was conducted to estimation fetal weight by clinical method and by ultrasonography and to nd out its correlation with actual birth weight in term pregnancy. The cross-sectional Material and Methods: observational study was conducted in outpatient or inpatient Obstetric section of Depar
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Flici, Farid, and Nacer-Eddine Hammouda. Mortality evolution in Algeria: What can we learn about data quality? Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/populationyearbook2021.res1.3.

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Mortality in Algeria has declined significantly since the country declared its independence in 1962. This trend has been accompanied by improvements in data quality and changes in estimation methodology, both of which are scarcely documented, and may distort the natural evolution of mortality as reported in official statistics. In this paper, our aim is to detect these methodological and data quality changes by means of the visual inspection of mortality surfaces, which represent the evolution of mortality rates, mortality improvement rates and the male-female mortality ratio over age and time
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Orbeta, Aniceto Jr, Kris Ann Melad, and Maropsil Potestad. Correlates of Test Performance of 15-year-old Students in the Philippines: Evidence from PISA. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.57.

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To provide evidence on the drivers of the quality of education in the country, this study focuses on the correlates of test performance of 15-year-old students in the Philippines. It aims to quantitatively measure the roles of individual, family, and school characteristics in test performance. It uses the 2018 Program for International Student Assessment (PISA) which include a rich set of student, family, and school characteristics. In addition to the average relationship between the variables provided by ordinary least squares, it also provides an analysis for high and low performing students
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Serneels, Pieter, and Stefan Dercon. Aspirations, Poverty and Education: Evidence from India. Research on Improving Systems of Education (RISE), 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/053.

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This paper investigates whether aspirations matter for education, which offers a common route out of poverty. We find that mother aspirations are strongly related to the child’s grade achieved at age 18. The relation is nonlinear, suggesting there is a threshold, and depends on caste, household income and the village setting. The coefficients remain large and significant when applying control function estimation, using firstborn son as instrument. A similar strong relation is observed with learning outcomes, including local language, English and maths test results, and with attending school, b
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Tamburini, Andrea, Arkadiusz Wiśniowski, and Dilek Yildiz. BAYESIAN MULTI-DIMENSIONAL MORTALITY RECONSTRUCTION. Verlag der Österreichischen Akademie der Wissenschaften, 2024. http://dx.doi.org/10.1553/0x003eb05e.

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Even though mortality differentials by socio-economic status and educational attainment level have been widely examined, this research is often limited to developed countries and recent years. This is primarily due to the absence of consistently good-quality inherent data. Systematic studies with a broad geographical and temporal spectrum that engage with the link between educational attainment and mortality are lacking. In this paper, we propose a mortality rates reconstruction model based on multiple patchy data sources, and provide mortality rates by level of education. The proposed model i
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Kotlikoff, Laurence. Estimating The Age-Productivity Profile Using Lifetime Earnings. National Bureau of Economic Research, 1988. http://dx.doi.org/10.3386/w2788.

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