Relevant bibliographies by topics / Progressive data analysis

Contents

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

Academic literature on the topic 'Progressive data analysis'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Progressive data analysis"

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P, Veeramuthu. "Analysis of Progressive Duplicate Data Detection." Journal of Computational Mathematica 3, no. 2 (2019): 41–50. http://dx.doi.org/10.26524/cm53.

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Rinzivillo, Salvatore, Dino Pedreschi, Mirco Nanni, Fosca Giannotti, Natalia Andrienko, and Gennady Andrienko. "Visually driven analysis of movement data by progressive clustering." Information Visualization 7, no. 3-4 (2008): 225–39. http://dx.doi.org/10.1057/palgrave.ivs.9500183.

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The paper investigates the possibilities of using clustering techniques in visual exploration and analysis of large numbers of trajectories, that is, sequences of time-stamped locations of some moving entities. Trajectories are complex spatio-temporal constructs characterized by diverse non-trivial properties. To assess the degree of (dis)similarity between trajectories, specific methods (distance functions) are required. A single distance function accounting for all properties of trajectories, (1) is difficult to build, (2) would require much time to compute, and (3) might be difficult to und
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Lee, Kyeong-Jun, Jae-Ik Lee, and Chan-Keun Park. "Analysis of generalized progressive hybrid censored competing risks data." Journal of the Korean Society of Marine Engineering 40, no. 2 (2016): 131–37. http://dx.doi.org/10.5916/jkosme.2016.40.2.131.

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Wang, Tao, Lianbin Deng, Yuhong Li, and Hao Peng. "Progressive TIN Densification with Connection Analysis for Urban Lidar Data." Photogrammetric Engineering & Remote Sensing 87, no. 3 (2021): 205–13. http://dx.doi.org/10.14358/pers.87.3.207.

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Urban lidar data are advantageous for capturing the terrain surface of built-up areas, which can be directly used to provide digital surface models. Cloud points are classified into ground points to obtain digital terrain models. This study proposes a method to improve the progressive triangulated irregular network (TIN ) densification method using a TIN connection analysis algorithm, namely, connection analysis via slope analysis. The proposed method comprises five steps: selection of seed points, connection and slope analysis, increasing the seed points, construction of the TIN model of the
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Hassan, Amal S., Rana M. Mousa, and Mahmoud H. Abu-Moussa. "Analysis of Progressive Type-II Competing Risks Data, with Applications." Lobachevskii Journal of Mathematics 43, no. 9 (2022): 2479–92. http://dx.doi.org/10.1134/s1995080222120149.

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Azarang, Leyla, and Manuel,Oviedo,de,la Fuente. "idmTPreg: Regression Model for Progressive Illness Death Data." R Journal 10, no. 2 (2019): 317. http://dx.doi.org/10.32614/rj-2018-081.

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M J, Sudhamani. "A Comprehensive Analysis of Cirrhosis Progression through Clinical Data." Power System Technology 49, no. 1 (2025): 784–801. https://doi.org/10.52783/pst.1622.

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Cirrhosis is a progressive liver disease characterized by liver fibrosis and scarring, which can eventually lead to liver failure. It is primarily caused by chronic alcohol con- sumption, viral hepatitis, and non-alcoholic fatty liver disease (NAFLD). Early detection and diagnosis are crucial for pre- venting the progression of the disease. Recent advancements in machine learning and deep learning techniques have shown great promise in enhancing the diagnostic accuracy of cirrhosis through non-invasive methods, such as medical imaging analysis and biomarker prediction. These techniques aid in
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Ravikumar, Ananya. "Exploring Parkinsons Disease Progression Through Python-Based Data Analysis Techniques." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 3344–49. https://doi.org/10.22214/ijraset.2025.72823.

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Parkinson’s disease is a long-term neurological illness that mainly influences motor functions balance, and speaking abilities. This study aims to present a reproducible Python-based EDA framework to understand the progressive growth of Parkinson’s disease using an authentic dataset comprising500affectedpatients. Withtheuseofmajorpython libraries, ExploratoryDataAnalysis(EDA)methodswereappliedtoclean,processandvisualizethedata.Thestudyinvolvedexploring correlation between features like UPDRS score, motor function, speech difficulty and years since diagnosis. Descriptive statistics, correlation
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Koch, Marcus W., Jop Mostert, Bernard Uitdehaag, and Gary Cutter. "Clinical outcome measures in SPMS trials: An analysis of the IMPACT and ASCEND original trial data sets." Multiple Sclerosis Journal 26, no. 12 (2019): 1540–49. http://dx.doi.org/10.1177/1352458519876701.

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Background: Still too little is known about the natural history of clinical outcome measures beyond the Expanded Disability Status Scale (EDSS), such as the timed 25-foot walk (T25FW) and nine-hole peg test (9HPT) in secondary progressive multiple sclerosis (SPMS). Objective: To describe progression on the EDSS, T25FW, 9HPT, and their combinations. To investigate the association of the baseline characteristics age, sex, EDSS, T25FW, gadolinium-enhancing lesions, and relapse activity with EDSS and T25FW progression. Methods: Using original trial data from the placebo arms of the IMPACT and ASCE
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Turkay, Cagatay, Erdem Kaya, Selim Balcisoy, and Helwig Hauser. "Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis." IEEE Transactions on Visualization and Computer Graphics 23, no. 1 (2017): 131–40. http://dx.doi.org/10.1109/tvcg.2016.2598470.

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Dissertations / Theses on the topic "Progressive data analysis"

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Morone, Daniel Justin Reese. "Progressive Collapse: Simplified Analysis Using Experimental Data." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354602937.

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Larson, Michael Andrew. "A Progressive Refinement of Postural Human Balance Models Based on Experimental Data Using Topological Data Analysis." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami159620428141697.

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Amrani, Naoufal, Joan Serra-Sagrista, Miguel Hernandez-Cabronero, and Michael Marcellin. "Regression Wavelet Analysis for Progressive-Lossy-to-Lossless Coding of Remote-Sensing Data." IEEE, 2016. http://hdl.handle.net/10150/623190.

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Regression Wavelet Analysis (RWA) is a novel wavelet-based scheme for coding hyperspectral images that employs multiple regression analysis to exploit the relationships among spectral wavelet transformed components. The scheme is based on a pyramidal prediction, using different regression models, to increase the statistical independence in the wavelet domain For lossless coding, RWA has proven to be superior to other spectral transform like PCA and to the best and most recent coding standard in remote sensing, CCSDS-123.0. In this paper we show that RWA also allows progressive lossy-to-lossles
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Silvaroli, Antonio. "Design and Analysis of Erasure Correcting Codes in Blockchain Data Availability Problems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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In questo lavoro viene affrontato il concetto di Blockchain e Bitcoin, con enfasi sugli attacchi alla disponibilità riguardanti le transazioni, nel caso in cui nella rete vengano considerati alcuni nodi detti "light nodes", che migliorano la scalabilità del sistema. Quindi, si analizza il funzionamento della Blockchain di Bitcoin quando la struttura dati "Merkle Tree" viene codificata, in modo da aumentare la probabilità dei light nodes di rilevare cancellazioni di transazioni, attuate da parte di nodi attaccanti. Attraverso una codifica con erasure codes, in particolare con codici low density
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Eller, Michael R. "Utilizing Economic and Environmental Data from the Desalination Industry as a Progressive Approach to Ocean Thermal Energy Conversion (OTEC) Commercialization." ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1733.

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Ocean Thermal Energy Conversion (OTEC) is a renewable energy technology that has to overcome several key challenges before achieving its ultimate goal of producing baseload power on a commercial scale. The economic challenge of deploying an OTEC plant remains the biggest barrier to implementation. Although small OTEC demonstration plants and recent advances in subsystem technologies have proven OTEC’s technical merits, the process still lacks the crucial operational data required to justify investments in large commercial OTEC plants on the order of 50-100 megawatts of net electrical power (MW
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Vidal, Jules. "Progressivité en analyse topologique de données." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS398.

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L’analyse topologique de donnés permet l’extraction générique et efficace de caractéristiques structurelles dans les données. Cependant, bien que ces techniques aient des complexités asymptotiques connues et raisonnables elles sont rarement interactives en pratique sur des jeux de données réels. Dans cette thèse, nous avons cherché à développer des méthodes progressives pour l’analyse topologique de données scalaires scientifiques, qui peuvent être interrompues pour fournir rapidement un résultat approché exploitable, et sont capables de l’affiner ensuite. Nous introduisons deux algorithmes pr
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Kmetzsch, Virgilio. "Multimodal analysis of neuroimaging and transcriptomic data in genetic frontotemporal dementia." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS279.pdf.

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La démence frontotemporale (DFT) représente le deuxième type de démence le plus fréquent chez les adultes de moins de 65 ans. Il n’existe aucun traitement capable de guérir cette maladie. Dans ce contexte, il est essentiel d’identifier des biomarqueurs capables d’évaluer la progression de la maladie. Cette thèse a deux objectifs. Premièrement, analyser les profils d’expression des microARNs circulants prélevés dans le plasma sanguin de participants, afin d’identifier si l’expression de certains microARNs est corrélée au statut mutationnel et à la progression de la maladie. Deuxièmement, propos
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Conway, Devon S. "Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1307635721.

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Baneshi, Mohammad Reza. "Statistical models in prognostic modelling with many skewed variables and missing data : a case study in breast cancer." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4191.

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Prognostic models have clinical appeal to aid therapeutic decision making. In the UK, the Nottingham Prognostic Index (NPI) has been used, for over two decades, to inform patient management. However, it has been commented that NPI is not capable of identifying a subgroup of patients with a prognosis so good that adjuvant therapy with potential harmful side effects can be withheld safely. Tissue Microarray Analysis (TMA) now makes possible measurement of biological tissue microarray features of frozen biopsies from breast cancer tumours. These give an insight to the biology of tumour and hence
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Ivarsson, Adam. "Expediting Gathering and Labeling of Data from Zebrafish Models of Tumor Progression and Metastasis Using Bespoke Software." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148691.

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In this paper I describe a set of algorithms used to partly automate the labeling and preparation of images of zebrafish embryos used as models of tumor progression and metastasis. These algorithms show promise for saving time for researchers using zebrafish in this way.
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Books on the topic "Progressive data analysis"

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Desimone, Leslie A. Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Desimone, Leslie A. Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Malkani, Sara. Progressive Laws in Patriarchal Societies. Bloomsbury Academic, 2025. https://doi.org/10.5040/9781978748217.

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Over the last two decades, Pakistan has seen major legislative changes in the area of gender-based violence. This book explores the impact and ongoing influence of these changes. A frequent refrain in political and social commentary in Pakistan is that these laws, while transformative on paper, have not translated to actual change in the lives of women and girls because of poor implementation. Through analysis of court cases, data on criminal proceedings, and interviews with activists and survivors, this book demonstrates how the impact of progressive laws is influenced by entrenched social no
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Meier, Benjamin Mason, Ryan Cronk, Jeanne Luh, Jamie Bartram, and Catarina de Albuquerque. Monitoring the Progressive Realization of the Human Rights to Water and Sanitation. Edited by Ken Conca and Erika Weinthal. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199335084.013.21.

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The human rights to water and sanitation have developed dramatically under international human rights law over the past forty years, with international political declarations leading to specific state obligations. Yet despite this evolution of human rights under international law, there are few mechanisms to monitor the progressive realization of those rights in national practice. The Water, Sanitation, and Hygiene (WaSH) Performance Index employs frontier analysis to monitor human rights to water and sanitation, across countries and over time. Tracking rates of change in water and sanitation
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Novel methodologies for the analysis of complex failure time data and alternative progression-free survival estimators. 2008.

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Glanville, Peter John. Symmetry. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198792734.003.0005.

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Chapter 5 determines the semantic typology of patterns III and VI, sometimes termed the vowel-lengthening patterns. It asserts that verbs formed in these patterns are symmetrical predicates, denoting relations consisting of two complementary forces. It shows that the difference between the two patterns results from the interplay between an underlying symmetric relation and a figure–ground orientation in which one of the participant roles involved is made more prominent than the other. The chapter divides verbs formed in pattern III into verbs of resistance, risk, competition, interaction, and
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Anderson, C. W. The Idea of Data, Documents, and Evidence in Early-Twentieth-Century Journalism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492335.003.0002.

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This chapter chronicles the manner by which data and documents were incorporated into journalism in the early twentieth century, examining the intersection between social movements, progressive politics, public relations, and journalism. It analyzes the MRFM, a religious movement that used the accumulation of empirical data about urban conditions as both a mobilizing and public relations tool in order to advance social causes.
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Touchon, Justin C. Applied Statistics with R. Oxford University PressNew York, NY, 2025. https://doi.org/10.1093/9780197797372.001.0001.

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Abstract Whether at the undergraduate, graduate, or postgraduate level, Applied Statistics with R: A Guide for the Life Sciences and Beyond teaches readers to analyze their data in an efficient, accessible, plainspoken, frank, and occasionally humorous manner. Readers will come away with the knowledge of which analyses they should use and when they should use them, an important skill in an age when the statistical analyses used in the life sciences are becoming increasingly advanced. This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming
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Brace, Paul. Aggregating Survey Data to Estimate Subnational Public Opinion. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.15.

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Public opinion’s role in shaping governmental actions is a central concern of democracy, yet the absence of systematic state-level survey data has inhibited analyses of public opinion at the subnational level. This essay traces the evolution of studies of public opinion at that level, first reviewing studies using surrogates derived from demographic variables. It next considers methodologies that develop state-level opinion from aggregated national samples. Finally, it discusses recent efforts to develop state-level opinion measures using post-sample stratification integrating limited survey d
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Hughes, Jeremy. Proteinuria as a direct cause of progression. Edited by David J. Goldsmith. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0137.

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Proximal tubular cells reabsorb any filtered proteins during health via cell surface receptors such as megalin and cubulin so that very low levels of protein are present in the excreted urine. Significant proteinuria is a common finding in patients with many renal diseases. Proteinuria is a marker of glomerular damage and podocyte loss and injury in particular. The degree of proteinuria at presentation or during the course of the disease correlates with long-term outcome in many renal diseases. Proteinuria per se may be nephrotoxic and thus directly relevant to the progression of renal disease
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Book chapters on the topic "Progressive data analysis"

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Cramer, Erhard, and George Iliopoulos. "Adaptive Progressive Censoring." In Ordered Data Analysis, Modeling and Health Research Methods. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25433-3_5.

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Scippacercola, Sergio. "The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics." In Data Analysis and Classification. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03739-9_7.

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Reizer, Aiala, and Jonathan Reizer. "Progressive Multiple Alignment of Protein Sequences and the Construction of Phylogenetic Trees." In Computer Analysis of Sequence Data. Humana Press, 1994. http://dx.doi.org/10.1385/0-89603-276-0:319.

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Bharti, Nidhi Singh, and Kartikey Singh Jarathiya. "Airlines data analysis through the lens of SQL and Python." In Progressive Computational Intelligence, Information Technology and Networking. CRC Press, 2025. https://doi.org/10.1201/9781003650010-67.

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Raj, Ayush, Akshay Shree, and Sanjeev Kumar Punia. "Analysis and exploration Olympic data using machine and deep learning." In Progressive Computational Intelligence, Information Technology and Networking. CRC Press, 2025. https://doi.org/10.1201/9781003650010-131.

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Angelini, Marco, and Giorgio Cazzetta. "Progressive Visualization of Epidemiological Models for COVID-19 Visual Analysis." In Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68007-7_10.

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Vignesh, U., K. M. Monica, and K. Gokul Ram. "Data analysis of female education in the age of COVID-19: A comprehensive review." In Progressive Computational Intelligence, Information Technology and Networking. CRC Press, 2025. https://doi.org/10.1201/9781003650010-62.

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Patil, Bhaskar Vijayrao, Manjushri Abhishek Kadam, Sampada Santosh Gulavani, Bhakti Pawar, and Vidyullata Shekhar Jadhav. "Towards data-driven agriculture: Integrating machine learning techniques with soil analysis for enhanced yield prediction and strategy formulation." In Progressive Computational Intelligence, Information Technology and Networking. CRC Press, 2025. https://doi.org/10.1201/9781003650010-41.

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Zhou, Weipeng, and Gang Luo. "Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection." In Heterogeneous Data Management, Polystores, and Analytics for Healthcare. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71055-2_17.

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Farneti, Elisabetta, Nicola Cavalagli, Mario Costantini, et al. "Remote Sensing Satellite Data and Progressive Collapse Analysis for Structural Monitoring of Multi-span Bridges." In Lecture Notes in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07258-1_39.

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Conference papers on the topic "Progressive data analysis"

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Wang, Shaokang, Guoqing Xiang, Wenzhao Li, et al. "Three-Stage Progressive Pre-Analysis Framework for VMAF Controllable Image Coding." In 2025 Data Compression Conference (DCC). IEEE, 2025. https://doi.org/10.1109/dcc62719.2025.00091.

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Rustagi, Mitanshi, Meenu, Neha Goel, Akshat Agrawal, Arpita Soni, and Parth Vijrania. "Data Reliability and Survival Analysis for Breast Cancer Patients Using Real Data." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00067.

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Wu, Xuan, Qian Gong, Jieyang Chen, et al. "Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/sc41406.2024.00092.

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Bhuyan, Ajatray Swagat. "Smart Farming with IoT: A Bibliometric Analysis of Trends and Developments." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00058.

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Tomar, Yash, Shivam Kumar Kaushik, Vansh Sharma, and Parul Sood. "A Comprehensive Framework for Stock Prediction: Leveraging NLP Models, Technical Analysis, and Fundamental Data." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00071.

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Saritha, Mulkala, Kiran Dasari, and Lokam Anjancyulu. "Polarimetric Decomposition Analysis of Lunar North Pole Crater Hermite-A Using Chandrayaan-2 DFSAR Data." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00078.

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Thimmapuram, Madhuri, and Ananda Rao Akepogu. "Enhancing PD Diagnosis through Handwriting Analysis: A CNN-BiLSTM Model with Dual Feature Extraction and GOOSE Optimization." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00085.

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Jaiswal, Amit Kumar, Dhuriya Ankit Subhash, Rishav Raj, and Yuvjeet Arora. "Multi-Version Analysis of YOLO: A Deep Dive into YOLOv5, YOLOv7, and YOLOv9 for Face and Person Detection." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00052.

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Dixit, Shweta, Rachna Asthana, and Kumar Gaurav. "Optimizing Soft Failure Detection in Elastic Optical Networks: A Comparative Analysis of Machine Learning Algorithms Note: Sub-Titles are not Captured in Xplore and Should not be Used." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00034.

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Lua, Jim, Anisur Rahman, Dinh Pham, and Nam Phan. "A Progressive Damage Model for Fatigue Analysis of Woven Fabric Composites." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12889.

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An efficient two-step progressive damage model has been developed to predict the accumulated damage and fatigue life of woven fabric composite materials. A stress-based failure criterion coupled with a continuum damage approach is employed to predict the damage in fabric materials when loaded up to the desired stress level. Upon fatigue cyclic loading, fatigue damage initiation and propagation in the warp and weft tows, in the matrix constituent and their interfaces are evaluated with S-N based accumulation models characterizing the cycle-dependent strengths in the fiber tows and the matrix su
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Reports on the topic "Progressive data analysis"

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Touhami, Abdelkhalek, and Dorothee Boccanfuso. Is the Moroccan Fiscal System Progressive ? A Shapley Decomposition. CIRANO, 2023. http://dx.doi.org/10.54932/wrzq6217.

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Public policies, particularly those related to tax policy and subsidies, should help reduce poverty and inequality. However, the combination of the components of these two systems, as implemented, leads sometimes to an increase in poverty and/or inequality without this being necessarily visible. In this paper, based on data from the 2019 wave of the ONDH Household Panel Survey from Morocco, we first highlight the ifluence of taxes and subsidies on household incomes. We then derive the income variations relating to the tax burden and gains from subsidies for the different population groups. We
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Go, Eugenia, Sam Hill, Maria Hanna Jaber, Yothin Jinjarak, Donghyun Park, and Anton Ragos. Developing Asia’s Fiscal Landscape and Challenges. Asian Development Bank, 2022. http://dx.doi.org/10.22617/wps220267-2.

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This paper analyzes how substantial fiscal policy stimulus in response to COVID-19, combined with the impact of the downturn on revenues, has severely weakened public finances in many developing Asian economies. Analysis drawing on newly compiled data shows that while tax revenues in developing Asia steadily rose in the 2 decades before the COVID–19 pandemic, they continued to lag well behind high-income economies and some developing peers. The region relies on indirect taxes, creating a relatively efficient but less progressive tax structure, while government expenditures on education and hea
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Gutierrez, Eylla Laire, Marie Jel Bautista, and John Paolo Rivera. Analysis of the Readiness of Philippine Tourism Enterprises for Trade Liberalization in Asia-Pacific. Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.38.

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Amid the signing of various trade agreements defining trade rules and commitments for economies globally, the Regional Comprehensive Economic Partnership (RCEP) and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) both emerged as the largest and latest of them. Dubbed as a comprehensive agreement involving 15 and 11 member economies, respectively, the combined impact of these trade agreements is expected to facilitate deepened integration of its members to the global economy, resulting in global economic growth and poverty alleviation. Similarly, such agreement
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von Schiller, Armin. Party System Institutionalization and Reliance on Personal Income Tax in Developing Countries. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0011710.

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This paper explores the effect of party system institutionalization on the relevance of the personal income tax in the tax composition. Based on a fiscal contractualism approach, it is argued that institutionalized political party systems increase the capacity of political actors to credibly commit to fiscal contracts agreed with wealthy taxpayers. Consequently, in countries characterized by institutionalized political party systems wealthy taxpayers accept paying a bigger share of the tax burden, as reflected in a greater relevance of progressive tax types. The analysis of panel data for more
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Ariza H., Angela Andrea. Integrating Student Teachers’ Learning through an E-portfolio. Institución Universitaria Colombo Americana, 2025. https://doi.org/10.26817/paper.30.

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This working paper reports on an action research study aimed to explore and analyze the process of creating and using an E-portfolio of evidence to promote integrative learning of Student Teachers (STs) to further their self-discovery as EFL Teachers. The Process of creating the portfolio was framed within one Practicum semester and viewed as a capstone experience addressed from the perspective of an integrative learning approach. The construction of portfolios was carried out in three phases that had a progressive and transformative intention. The analysis and the interpretation of the data r
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Duong, Bich-Hang, and Joan DeJaeghere. From Student-Centered to Competency-Based Reform: Exploring Teachers’ Perspective of Meaningful Participation. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/089.

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Student-centered pedagogy has been widely advocated in many contexts with student active participation in learning being a central element. Vietnam has adopted innovative pedagogies including child-centered and competency-based teaching to further active learning and develop students’ full potential. This study explores Vietnamese teachers’ views about student participation and teaching roles as they implement these progressive reforms. It also examines pedagogical practices that teachers planned to use and actually employed to support student learning through meaningful participation. Drawing
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Albert, Jose Ramon, Aniceto Jr Orbeta, Kris Ann Melad, and Mohammad Mahmoud. https://pids.gov.ph/publication/discussion-papers/is-the-4ps-targeting-and-reaching-the-right-beneficiaries-an-assessment-of-the-veracity-of-the-list-of-pantawid-pamilya-4ps-beneficiaries. Philippine Institute for Development Studies, 2024. https://doi.org/10.62986/dp2024.27.

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This study represents the first comprehensive assessment of the Pantawid Pamilyang Pilipino Program's (4Ps) beneficiary targeting system, called the National Household Targeting System for Poverty Reduction (NHTS-PR) or Listahanan, since the program's institutionalization under Republic Act 11310 in 2019. Conducted by the Philippine Institute for Development Studies (PIDS) as mandated by law, this research examines both the accuracy of beneficiary information and the effectiveness of the program's targeting mechanisms in reaching intended beneficiaries. Through a dual-component analysis examin
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Vaughan, Tanya, Sarah Richardson, Toby Carslake, et al. Building capacity for Quality Teaching Rounds – Victoria. Final report. Australian Council for Educational Research, 2023. http://dx.doi.org/10.37517/978-1-74286-713-7.

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The Australian Council for Educational Research (ACER) was commissioned by the Teachers and Teaching Research Centre (TTRC) at the University of Newcastle to conduct an independent randomised controlled trial (RCT), with the goal of examining effects of Quality Teaching Rounds (QTR) on student outcomes and teachers’ practice in Victorian high schools. A total of 19 schools participated in Quality Teaching Rounds in 2022, with 20 schools in the wait list control. Data were gathered in an ongoing manner during the evaluation with: Progressive Assessment Tests in Mathematics (PAT-M) and reading (
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Chronopoulos, Ilias, Katerina Chrysikou, George Kapetanios, James Mitchell, and Aristeidis Raftapostolos. Deep Neural Network Estimation in Panel Data Models. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202315.

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In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, building on the work of Farrell et al. (2021), and explore latent patterns in the cross-section. We use the proposed estimators to forecast the progression of new COVID-19 cases across the G7 countries during the pandemic. We find significant forecasting gains over both linear panel and nonlinear time-series models. Containment or lockdown policies, as instigated at the national level by governments,
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Zhu, Chuanyan, Jessica Whitby, Jacqueline Gill, Daniel Fletcher, Lucy Clague, and Stefanie Williamson. HeppSY Partnership Evaluation Reports. Sheffield Hallam University, 2018. http://dx.doi.org/10.7190/steer/heppsy.

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The Higher Education Progression Partnership South Yorkshire (HeppSY) is part of the Uni Connect Programme (UCP), funded by the Office for Students. The main focus of Uni Connect is to provide targeted higher education outreach to young people in Years 9 to 13 living in particular geographic areas. From November 2017 to 2023, HeppSY conducted an annual Learner Survey to evaluate the students’ understanding of higher education, their expectations, and important factors related to their academic performance and choices. HeppSY evaluators consistently employed gap analysis method to analyse the l
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