Relevant bibliographies by topics / HIDDEN NARKOV MODEL

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  1. Dissertations / Theses
  2. Books
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'HIDDEN NARKOV MODEL'

Author: Grafiati
Published: 11 September 2023
Last updated: 31 July 2025

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Dissertations / Theses on the topic "HIDDEN NARKOV MODEL"

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MUKOKO, FUNGAYI DONEWELL. "USING HIDDEN MARKOV MODEL TOWARDS SECURING THE CLOUD: DETECTION OF DDoS SILENT ATTACKS." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15380.

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Cloud Computing has presented itself as a promising solution to new entrepreneurs as well as existing organizations for management of their IT needs at various levels. Many cloud service providers have exposed cloud services at cheap prices, which allow users at all levels of society to materialize their ideas and make them available across the globe. While the response has been overwhelming, the application areas where security of data is of utmost importance have not shown much interest. Hence incorporating dependable security measures in the cloud computing technology would be a good
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Books on the topic "HIDDEN NARKOV MODEL"

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Tung, Wei Hsiu. Art for Social Change and Cultural Awakening. Edited by Gerald Cipriani. Lexington Books, 2013. https://doi.org/10.5040/9781978743021.

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Artistic residency has become widely adopted in Western countries while only recently having become popular and well-supported within Taiwan. This book explores the challenges that this form of art practice faced in contemporary Taiwan from the revocation of Martial Law in 1987 to the 2000s—arguably one of the most exciting periods in the sociocultural history of the island. Case studies show what is at stake politically, historically, and socially in artists’ endeavours to give shape to a sense of Taiwanese identity. Despite the prevalence of artists engaged in social issues in today’s world
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Book chapters on the topic "HIDDEN NARKOV MODEL"

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Naumenko, Maksym, Iryna Hrashchenko, Tetiana Tsalko, Svitlana Nevmerzhytska, Svitlana Krasniuk, and Yurii Kulynych. "Innovative technological modes of data mining and modelling for adaptive project management of food industry competitive enterprises in crisis conditions." In PROJECT MANAGEMENT: INDUSTRY SPECIFICS. TECHNOLOGY CENTER PC, 2024. https://doi.org/10.15587/978-617-8360-03-0.ch2.

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Developed in this research scientific and practical applied project solutions regarding Data Mining for enterprises and companies (on the example of food industry) involve the application of advanced cybernetic computing methods/algorithms, technological modes and scenarios (for integration, pre-processing, machine learning, testing and in-depth comprehensive interpretation of the results) of analysis and analytics of large structured and semi-structured data sets for training high-quality descriptive, predictive and even prescriptive models. The proposed by authors multi-mode adaptive Data Mi
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Wallace, David. "6. Interpreting the quantum." In Philosophy of Physics: A Very Short Introduction. Oxford University Press, 2021. http://dx.doi.org/10.1093/actrade/9780198814320.003.0007.

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This chapter surveys various proposals to interpret—that is, make sense of—quantum mechanics. We could attempt to think of quantum mechanics in purely instrumentalist terms, as an algorithm to predict observed experimental results. But this fits badly with scientific practice and is probably not viable. We could attempt to modify quantum mechanics itself to resolve the paradoxes, and there are some simple models that attempt to do that: some are ‘hidden-variable’ theories that add extra properties to the theory, some are ‘dynamical-collapse’ theories that modify the theory’s equations. But non
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Callahan, William A. "Methods, Ethics, and Filmmaking." In Sensible Politics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190071738.003.0005.

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This short introduction explains how Part II, “Visual Images,” engages with existing debates in visual international politics through chapters addressing the aesthetic turn in international relations (Chapter 4), visual securitization (Chapter 5), and ethical witnessing (Chapter 6). To make these arguments, it uses a range of visual images—photographs, documentary films, feature films, online videos, and visual art—to discuss visuality/visibility, ideology/affect, and cultural governance/resistance. Using these examples, Part II examines how visual culture studies and visual IR have used the v
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Conference papers on the topic "HIDDEN NARKOV MODEL"

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Hou, Yali, Hong Su, Bo Tian, and Tie Li. "Hidden Markov Model Based on Target Narrow Pulse Laser Transient Characteristics." In 2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE). IEEE, 2018. http://dx.doi.org/10.1109/isape.2018.8634126.

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Kang, Bong-Ho, Hosoung Kim, Yooil Kim, and Kyung-Su Kim. "Development of Fatigue Damage Model of Wide-Band Process by Artificial Neural Network." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23238.

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For the frequency-domain spectral fatigue analysis, the probability mass function of stress range is essential for the assessment of the fatigue damage. The probability distribution of the stress range in the narrow-band process is known to follow the Rayleigh distribution, however the one in the wide-band process is difficult to define with clarity. In this paper, in order to assess the fatigue damage of a structure under wide band excitation, the probability mass function of the wide band spectrum was derived based on the artificial neural network, which is one of the most powerful universal
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Erge, Oney, and Eric van Oort. "Hybrid Physics-Based and Data-Driven Modeling for Improved Standpipe Pressure Prediction." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204094-ms.

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Abstract During drilling operations, it is common to see pump pressure spikes when flow is initiated, including after a connection or after a prolonged break in drilling operations. It is important to be able to predict the magnitude of such pressure spikes to avoid compromising wellbore integrity. This study shows how a hybrid approach using data-driven machine learning coupled with physics-based modeling can be used to accurately predict the magnitude of pressure spikes. To model standpipe pressure behavior, machine learning techniques were combined with physics-based models via a rule-based
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Liu, Jinlu, Jun Li, Yingjie Li, Hui Li, Hongwei Yang, and Gonghui Liu. "Casing Force Analysis During MPC Waiting Setting Stage Considering the Cement Hydration and Heat Release Process." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0041.

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ABSTRACT: Casing force and deformation during MPC (managed pressure cementing) waiting setting stage in deep and ultra-deep wells significantly impacts wellbore integrity. To accurately analyze casing force, the cement hydration and heat release process during waiting setting of cement is initially considered, followed by the establishment of a prediction model for Casing-Fluid-Formation temperature field. Subsequently, a diagram illustrating casing stress is constructed. Based on the predicted temperature field results, the comprehensive influence of temperature on axial force of the casing,
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