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Artykuły w czasopismach na temat "Bayelsa State"

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Emmanuel, Andy, I. B. Stanley, Afoi Barry, M. .J Mafuyai, and S.M. Gimba. "NURSING SHORTAGE PARADIGM: THE BAYELSA STATE SITUATION." Continental J. Nursing Science 4, no. 2 (2012): 52–56. https://doi.org/10.5281/zenodo.824600.

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This paper attempted to educate the reader about the shortage of nursing staff and how it affects Bayelsa State’s health sector. Bayelsa State like any other state in Nigeria has enormous health challenges associated with manpower shortage. Bayelsa’s situation is unique because of its terrain. Some factors such as cost of river transport, insecurity of lives and properties due to incessant attacks from sea pirates, poor housing, lack of portable water, deplorable state of hospitals and health centres, erratic or lack of power supply, inadequate nursing personnel, and uneven distribution of the
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Akarara, Ebierinyo Ayebaemi. "Determinants of consumption expenditure: an investigation of Friedman’s hypothesis in Bayelsa State, Nigeria." Journal of Global Social Sciences 2, no. 5 (2021): 65–84. http://dx.doi.org/10.31039/jgss.v2i5.101.

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This study evaluated the extent to which household permanent income determine the consumption expenditure of households in the different income groups in Bayelsa State under the framework of Friedman’s permanent income hypothesis. A questionnaire was applied as the tool for collecting primary data for the study. Data from the questionnaires were analyzed using the Quantile regression technique. Findings showed that household investment as a component of permanent income is a negative function of household consumption expenditure. While pension funds return as a component of household permanent
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Ogbomah, Thankgod Oyinbrakemi, Omons Megheze, Ebimobowei Appah, and Ebisintei Mathias. "Rule of Law and Tax Evasion in Nigeria: Moderating Role of Public Trust in Government." Global Journal of Arts, Humanities and Social Sciences 13, no. 1 (2025): 14–37. https://doi.org/10.37745/gjahss.2013/vol13n11437.

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Tax evasion problems impact on revenue generation by the government of Bayelsa State, Nigeria. This study explores empirically the moderating role of public trust in government on the relationship between rule of law and tax evasion in Bayelsa State, Nigeria. The specific objectives were to investigate the relationship between legal certainty and tax evasion in Bayelsa State, Nigeria; the relationship between equity before the law and tax evasion in Bayelsa State, Nigeria; the relationship between fairness and tax evasion in Bayelsa State, Nigeria and the moderating influence of public trust o
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Ogbomah, Thankgod Oyinbrakemi, Omons Megheze, and Mathias Ebisintei. "Legal Analysis of Gender Inequality and Women Development in Bayelsa State, Nigeria." Global Journal of Politics and Law Research 13, no. 1 (2025): 1–17. https://doi.org/10.37745/gjplr.2013/vol13n1117.

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This study explored the legal analysis of gender discrimination and women development in Bayelsa State, Nigeria. The specific objectives were to investigate the relationship between employment gender discrimination and women empowerment in Bayelsa State, Nigeria; to investigate the relationship between educational gender discrimination and women empowerment in Bayelsa State, Nigeria; to investigate the relationship between political gender discrimination and women empowerment in Bayelsa State, Nigeria and to investigate the relationship between religious gender discrimination and women empower
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Dr, (Mrs) Gift J. Eke. "Information Technology and Entrepreneurship Success in Bayelsa State, Nigeria: Small and Medium Enterprises (SMEs) Perspective." JOURNAL OF ECONOMICS, FINANCE AND MANAGEMENT STUDIES 06, no. 06 (2023): 2886–92. https://doi.org/10.5281/zenodo.8082187.

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The paper examined relationship between information technology and entrepreneurship success in Bayelsa State. Specifically, the study is to examine the relationship between information technology and SMEs success in Bayelsa State, and the challenges of adopting information technology for entrepreneurship success in Bayelsa State. This paper adopted the quantitative research approach and adopting cross-sectional survey design which involve multiple SMEs in Bayelsa State. Population for this study consist of fifty (50) entrepreneurs in Bayelsa state. A self-designed questionnaire was modified an
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Duanyo, Tobin Violet. "Environmental Degradation and Changes in Traditional Health Practice (THP) in Bayelsa State, Nigeria." Global Academic Journal of Humanities and Social Sciences 5, no. 05 (2023): 226–46. http://dx.doi.org/10.36348/gajhss.2023.v05i05.004.

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This study on environmental degradation and changes in traditional health practices in Bayelsa state has come at the right time to contribute to the move in repositioning the Nigerian health care system. The study has identified the challenges of the traditional medicine practices majorly from the impact of environmental degradation. It sought to investigate the socio-economic characteristics of traditional health practitioners (THPs) in Bayelsa state; to examine the nature and trend of traditional health practices in Bayelsa state; and to investigate the dynamics in traditional health practic
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Orusaibogha, Ebikedoumene Nelson. "The Nigerian State and Crisis of Development A Study of Bayelsa State, 2010-2020." American Journal of Social and Humanitarian Research 4, no. 9 (2023): 32–52. https://doi.org/10.5281/zenodo.8413724.

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Since the creation of Bayelsa State, several administrations have come and gone with various policy frameworks that are intended to drive development. However, the situation in the state reveals the opposite. Despite the numerous resources the state is blessed with in the Niger Delta region, she still suffers from the problem of lack of development. Thus, this study examined the Nigerian State and the crisis of development with a particular focus on Bayelsa State between 2010-2020. The study was led by three research questions and three research objectives. The investigation was guided by the
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EGBE, OLAWARI D. J. "NATURAL RESOURCE ENDOWMENT AND YOUTH EDUCATION DYSFUNCTION IN BAYELSA STATE." WILBERFORCE JOURNAL OF THE SOCIAL SCIENCES 3, no. 1 (2018): 67–92. http://dx.doi.org/10.36108/wjss/8102.30.0150.

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This paper investigates an uncommon and lackluster attitude towards education among youths of Bayelsa State. The Rentier State Theory (RST) is adopted as its theoretical handle. Primary and secondary sources of information were deployed in the study; with 20 randomly sampled communities of four local government areas of Bayelsa State. The paper makes an interesting insight into a rare connection between natural resource endowment and youth education, even as part of a growing concern on how to take youth away from criminality and violent conflicts in many complex conflict-ridden societies. Nig
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Eli, A.A, and E.A. Solomon. "Assessing Formal Credit Access for Fishery Development: A Study of Fisher Socio-Economic Characteristics, Demand, and Issuance in Bayelsa State, Nigeria (2010-2015)." Assessing Formal Credit Access for Fishery Development: A Study of Fisher Socio-Economic Characteristics, Demand, and Issuance in Bayelsa State, Nigeria (2010-2015) 8, no. 9 (2023): 8. https://doi.org/10.5281/zenodo.10029769.

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This research explores the critical role of fisheries in Nigeria's economy, focusing on Bayelsa State. Despite contributing 3–5% to the agricultural GDP and being a vital protein source for Nigerians, the fisheries sub-sector faces challenges, notably in credit accessibility. The study investigates the nexus between credit, socioeconomics, and technology in Bayelsa's fisheries. With a population of 1.7 million, Bayelsa heavily relies on fishing, making the study pertinent. Data for the study was obtained from 160 fishers drawn from random but purposefully selected four Local Government Area's.
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BRUCE, Seagirl Esther, KOBANI, and Doreen. "Impact of Community Development Programmes on Leadership Capacity Building of Community Leaders in Bayelsa State, Nigeria." International Journal of Scientific and Management Research 05, no. 04 (2022): 306–20. http://dx.doi.org/10.37502/ijsmr.2022.5423.

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This Study examined Community Development Programmes and Leadership Capacity Building of Community Leaders in Bayelsa State of Nigeria. The study adopted a descriptive survey design. The population of the study comprises the 1,294 Paramount Rulers and Community Development Committee (CDC) Chairmen in the state. The simple random sampling technique was applied to select 200 respondents from each of the senatorial districts that make up Bayelsa State (Bayelsa Central, Bayelsa East and Bayelsa West) to realize a sample size of 600. The instrument used for data collection was a questionnaire. The
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Rozprawy doktorskie na temat "Bayelsa State"

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Eguruze, Ebikinei Stanley. "A study of what young people and community organisations perceive as their support needs in Bayelsa State of Nigeria in 'tackling poverty' and 'How to sway policy makers, using social marketing techniques'." Thesis, Cardiff Metropolitan University, 2015. http://hdl.handle.net/10369/7834.

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This study investigates what young people and community organisations see as their support needs in Bayelsa State of Nigeria in “tackling poverty. It also examines the process of influencing policy makers, using social marketing techniques. It seeks to expand understanding of the poverty elimination processes: not only within a developing country’s rural environmental context, but also endeavours to generalize the findings more broadly. It seeks an inclusive approach to policy determination driven by involving grassroots levels. A mixed-methods research design was adopted engaging a quantitati
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Frühwirth-Schnatter, Sylvia. "Bayesian Model Discrimination and Bayes Factors for Normal Linear State Space Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1993. http://epub.wu.ac.at/108/1/document.pdf.

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It is suggested to discriminate between different state space models for a given time series by means of a Bayesian approach which chooses the model that minimizes the expected loss. Practical implementation of this procedures requires a fully Bayesian analysis for both the state vector and the unknown hyperparameters which is carried out by Markov chain Monte Carlo methods. Application to some non-standard situations such as testing hypotheses on the boundary of the parameter space, discriminating non-nested models and discrimination of more than two models is discussed in detail. (author's a
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Ravet, Alexandre. "Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions." Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0045/document.

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Ces travaux se focalisent sur une problématique fondamentale de la robotique autonome: l'estimation d'état. En effet, la plupart des approches actuelles permettant à un robot autonome de réaliser une tâche requièrent tout d'abord l'extraction d'une information d'état à partir de mesures capteurs bruitées. Ce vecteur d'état contient un ensemble de variables caractérisant le système à un instant t, comme la position du robot, sa vitesse, etc. En robotique comme dans de nombreux autres domaines, le filtrage bayésien est devenu la solution la plus populaire pour estimer l'état d'un système de faço
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Yin, Jiani. "Bayesian Nonparametric Models for Multi-Stage Sample Surveys." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/197.

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It is a standard practice in small area estimation (SAE) to use a model-based approach to borrow information from neighboring areas or from areas with similar characteristics. However, survey data tend to have gaps, ties and outliers, and parametric models may be problematic because statistical inference is sensitive to parametric assumptions. We propose nonparametric hierarchical Bayesian models for multi-stage finite population sampling to robustify the inference and allow for heterogeneity, outliers, skewness, etc. Bayesian predictive inference for SAE is studied by embedding a parametric
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Frühwirth-Schnatter, Sylvia. "Recursive Residuals and Model Diagnostics for Normal and Non-Normal State Space Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1994. http://epub.wu.ac.at/1540/1/document.pdf.

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Model diagnostics for normal and non-normal state space models is based on recursive residuals which are defined from the one-step ahead predictive distribution. Routine calculation of these residuals is discussed in detail. Various tools of diagnostics are suggested to check e.g. for wrong observation distributions and for autocorrelation. The paper also covers such topics as model diagnostics for discrete time series, model diagnostics for generalized linear models, and model discrimination via Bayes factors. (author's abstract)<br>Series: Forschungsberichte / Institut für Statistik
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Westerfield, Jane R. "An investigation of the life styles and performance of three singer-comediennes of American vaudeville : Eva Tanguay, Nora Bayes and Sophie Tucker." Virtual Press, 1987. http://liblink.bsu.edu/uhtbin/catkey/515977.

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In the early days of the twentieth century when vaudeville was the most popular theatrical entertainment in America, there were a number of female singers who became its star performers. In the process of conducting preliminary research for a dissertation topic on female singers of this era, it quickly became evident that while much has been written about opera singers of that era, only limited material was available on female vaudeville singers. Furthermore, the small amount of information which was available was so randomly scattered among various sources that it was difficult to perceive a
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Aboalela, Rania Anwar. "An Assessment of Knowledge by Pedagogical Computation on Cognitive Level mapped Concept Graphs." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1496941747313396.

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Yu, Xue Qin. "Comparing survival from cancer using population-based cancer registry data - methods and applications." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1774.

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Over the past decade, population-based cancer registry data have been used increasingly worldwide to evaluate and improve the quality of cancer care. The utility of the conclusions from such studies relies heavily on the data quality and the methods used to analyse the data. Interpretation of comparative survival from such data, examining either temporal trends or geographical differences, is generally not easy. The observed differences could be due to methodological and statistical approaches or to real effects. For example, geographical differences in cancer survival could be due to a number
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Yu, Xue Qin. "Comparing survival from cancer using population-based cancer registry data - methods and applications." University of Sydney, 2007. http://hdl.handle.net/2123/1774.

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Doctor of Philosophy<br>Over the past decade, population-based cancer registry data have been used increasingly worldwide to evaluate and improve the quality of cancer care. The utility of the conclusions from such studies relies heavily on the data quality and the methods used to analyse the data. Interpretation of comparative survival from such data, examining either temporal trends or geographical differences, is generally not easy. The observed differences could be due to methodological and statistical approaches or to real effects. For example, geographical differences in cancer survival
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Jüngel, Matthias. "The memory-based paradigm for vision-based robot localization." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16593.

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Für mobile autonome Roboter ist ein solides Modell der Umwelt eine wichtige Voraussetzung um die richtigen Entscheidungen zu treffen. Die gängigen existierenden Verfahren zur Weltmodellierung basieren auf dem Bayes-Filter und verarbeiten Informationen mit Hidden Markov Modellen. Dabei wird der geschätzte Zustand der Welt (Belief) iterativ aktualisiert, indem abwechselnd Sensordaten und das Wissen über die ausgeführten Aktionen des Roboters integriert werden; alle Informationen aus der Vergangenheit sind im Belief integriert. Wenn Sensordaten nur einen geringen Informationsgehalt haben, wie zum
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Książki na temat "Bayelsa State"

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Ebele, Jonathan Goodluck, and Dantori Ventures, eds. Bayelsa State @ 10 & Dr. Goodluck Ebele Jonathan's developmental report on Bayelsa State. Dantori Ventures, 2007.

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Joe, Alagoa Ebiegberi, ed. The land and people of Bayelsa State: Central Niger delta. Onyoma Research Publications, 1999.

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Joe, Alagoa Ebiegberi, and Okonny I. P, eds. The land and people of Bayelsa State: Central Niger Delta. Onyoma Research Publications, 1999.

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Bayelsa State (Nigeria). Executive Governor (1999-2005 : Alamieyeseigha). Chief DSP Alamieyeseigha, Governor, Bayelsa State: A legacy of selfless service. Government of Bayelsa State, 2005.

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Bayelsa State (Nigeria). Executive Governor (1999-2005 : Alamieyeseigha). Meeting the challenge of growth and development in Bayelsa State: Being text of an address presented by His Excellency Chief Diepreye Alamieyeseigha, Ph. D, Executive Governor of Bayelsa State, to Bayelsa indigenes in the Americas at the Atlanta Convention 2002 hosted by the Bayelsa Center, USA. Bayelsa State, 2002.

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Daniel, Dennis Inemo. One year testimonial of His Excellency, Chief D.S.P. Alamieyeseigha, first Executive Governor of Bayelsa State. Press and Publications Department, Ministry of Information & Culture, Bayelsa State, 2000.

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(Nigeria), Bayelsa State. Projmonitor: A periodic report of the Bayelsa State Government Projects Monitoring and Implementation Committee (PMIC) : February-April 2004. Bayelsa State Government, 2005.

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Bayelsa State (Nigeria). Executive Governor (1999- : Alamieyeseigha). The path to glory: Being an address of welcome presented by His Excellency Chief Diepreye Alamieyeseigha, JP, Executive Governor of Bayelsa State to the President and Commander-in-Chief of the Federal Republic of Nigeria, Chief Olusegun Obasanjo, GCFR, during his maiden visit to Bayelsa State on March 15, 2001 in Yenagoa. Bayelsa State, 2001.

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Alagoa, Ebiegberi Joe. The Ijaw Nation in the new millennium: A lecture given at the 4th Convention of the Ijaw National Congress at Yenagoa, Bayelsa State on the 31st March, 2000. Onyoma Research Publications, 1999.

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Alamieyeseigha, D. S. P. My stewardship at 2: Being text of a broadcast by His Excellency Chief Diepreye Alamieyeseigha, JP, Executice Director of Bayelsa State to mark the second anniversary of the administration on Tuesday, May 29, 2001. Office of the Speech Writer, Government House, 2001.

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Części książek na temat "Bayelsa State"

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Jatto, Abdul L. Abraham. "Security and Theoretical Explanation of Pipeline Vandalism in Bayelsa State, Nigeria." In New Security Challenges. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56932-6_5.

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Raimi, Lasisi, Blessing Onyinyechukwu Umunnah, and Merosobo Lawson-Ikuru. "Can We Communicate Climate Change Differently? Lessons from Bayelsa State, Nigeria." In Energy Transition, Climate Action and Sustainable Agriculture. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83165-2_13.

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Beedie, Ezi. "An appraisal of the poverty reduction program in Bayelsa State of Nigeria." In Poverty Reduction Strategies in Africa. Routledge, 2017. http://dx.doi.org/10.4324/9781315282978-13.

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Mfon, Unyime-Young. "Climate Change Outcomes and Educational Development: Implications of Flooding on Children's Well-Being and School Attendance in Bayelsa State, Nigeria." In The Climate-Health-Sustainability Nexus. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56564-9_19.

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Oruabena, Bernard, and Okoh Elechi. "Expansive Soil Subgrade: Soil Treatment Using Waste Ceramic Dust and Cement." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4355-1_63.

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AbstractThis study examines the potential application of leftover ceramic dust for stabilising expansive soil in infrastructure projects. We know that expansive soils have low strength and bearing capacity, which makes them troublesome in the natural world. Therefore, it’s crucial to level off weak or powerless soil to increase the sublevel’s bearing limit and support a suitable, long-lasting wearing course. To stabilise the soil, the poor soil was taken from Yenagoa, Bayelsa state in the South-South region of Nigeria, and mixed with varying amounts of waste ceramic dust. Standard Proctor comp
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Evensen, Geir, Femke C. Vossepoel, and Peter Jan van Leeuwen. "Problem Formulation." In Springer Textbooks in Earth Sciences, Geography and Environment. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_2.

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AbstractThis chapter introduces the model-state- and parameter estimation problem from basic principles starting with Bayes’ theorem. We define the general problem formulation and introduce the concept of Bayes’ theorem solved recursively over a sequence of assimilation time windows.
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Ozawa, Masanao. "Quantum State Reduction and the Quantum Bayes Principle." In Quantum Communication, Computing, and Measurement. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5923-8_25.

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Prażnowski, Krzysztof, and Jarosław Mamala. "Application of Bayes Classifier to Assess the State of Unbalance Wheel." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49910-5_22.

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Haque, Mohd Mustafeez Ul, N. Pavani, Bhavani U. Alekya, G. Bhavana, V. Prashanthi, and Bui Thanh Hung. "Early stage heart disease prediction using navïe bayes and KNN algorithm." In Multi-Disciplinary Research and Sustainable Development. CRC Press, 2025. https://doi.org/10.1201/9781003675242-32.

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Li, Ruiguang, Ming Liu, Dawei Xu, Jiaqi Gao, Fudong Wu, and Liehuang Zhu. "A Review of Machine Learning Algorithms for Text Classification." In Communications in Computer and Information Science. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9229-1_14.

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AbstractText classification is a basic task in the field of natural language processing, and it is a basic technology for information retrieval, questioning and answering system, emotion analysis and other advanced tasks. It is one of the earliest application of machine learning algorithm, and has achieved good results. In this paper, we made a review of the traditional and state-of-the-art machine learning algorithms for text classification, such as Naive Bayes, Supporting Vector Machine, Decision Tree, K Nearest Neighbor, Random Forest and neural networks. Then, we discussed the advantages a
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Streszczenia konferencji na temat "Bayelsa State"

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Edeko, F. O., and J. E. Mbamalu. "Issues and Challenges of Aging Pipeline Coating Infrastructure in Nigeria’S Oil and Gas Industry." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04178.

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Abstract In Nigeria, the majority of the oil/gas/liquids pipelines are 30 to 50 years old since the discovery of oil at Oloibiri in Bayelsa State of Nigeria. Most of the pipes were laid on the surface based upon industry standards in the past. But these pipelines have become old, corroded and less effective. They fail in many areas, due to corrosion induced leaks (resulting from lack of pipeline integrity survey and inadequate corrosion condition monitoring program design) as well as vandalism. This problem is being dealt with in different ways by different pipeline operators. This study there
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Pavithra, O., G. Padmapriya, and R. Karthikeyan. "Expression of Concern for: Prediction of Early Stage of Fatty Liver Disease in Patients using Logistic Regression and Naive Bayes Algorithm." In 2022 International Conference on Cyber Resilience (ICCR). IEEE, 2022. http://dx.doi.org/10.1109/iccr56254.2022.10703516.

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Cohen, Benjamin G., Burcu Beykal, and George M. Bollas. "Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic Regression." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.199083.

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Physics-Informed Symbolic Regression (PISR) offers a pathway to discover human-interpretable solutions to partial differential equations (PDEs). This work investigates three fitness metrics within a PISR framework: PDE fitness, Bayesian Information Criterion (BIC), and a fitness metric proportional to the probability of a model given the data. Through experiments with Laplace�s equation, Burgers� equation, and a nonlinear wave equation, we demonstrate that incorporating information theoretic criteria like BIC can yield higher fidelity models while maintaining interpretability. Our results show
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Ing, David, Said Jabbour, Lakhdar Sais, and Fabien Delorme. "LAD-based Feature Selection for Optimal Decision Trees and Other Classifiers." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/81.

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The curse of dimensionality presents a significant challenge in data mining, pattern recognition, computer vision, and machine learning applications. Feature selection is a primary approach to address this challenge. It aims to eliminate irrelevant and redundant features while preserving the relevant ones to reduce computation time, improve prediction performance, and enhance the understanding of data. In this paper, we introduce a new feature selection (FS) technique based on the Logical Analysis of Data (LAD), a pattern learning framework that combines optimization, Boolean functions, and co
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Ton Alias, Mohd Aswadi, Nurul Asni Mohamed, M. Iskandar Bakeri, et al. "Application of Artificial Intelligence in Corrosion Management." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20711.

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Abstract Corrosion management system encompassing the various stages of an asset life starting from design, construction, through to operation and decommissioning remains the key focus in ensuring integrity and safe operation of the asset. Corrosion study is conducted during the initial design phase, followed by multiple reviews during the operational stage as part of the overall corrosion management process. These studies aim to identify all damage mechanisms that can be present, including both non-age-related and age-related mechanisms. Currently in the oil and gas industry, corrosion rate p
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Muyiwa, Odele. "Climate Change and Livelihood Strategies in Bayelsa State, Nigeria." In 5th International Conference on Social sciences, Humanities and Education. Acavent, 2021. http://dx.doi.org/10.33422/5th.icshe.2021.08.200.

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Eko, David, Bio Belu Abaye, Ikeola Adeoye, et al. "PA-328 Descriptive epidemiology of mpox outbreak in Bayelsa state, Nigeria." In Abstracts of The Eleventh EDCTP Forum, 7–10 November 2023. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/bmjgh-2023-edc.163.

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Amos-Tautua, B., A. Eboh, P. Samson, and B. Ozubide. "GC-MS, HPLC analysis and antioxidant estimation of n-hexane and methanol leaf extracts of Spondias mombin growing in Bayelsa State, Nigeria." In GA – 70th Annual Meeting 2022. Georg Thieme Verlag KG, 2022. http://dx.doi.org/10.1055/s-0042-1759253.

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Effiom, O., J. Anietie, and U. Iwedi. "Strategic Partnerships in Domestic Gas Project Maturation: The Iseni Phase 1 (OML35) Case." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221781-ms.

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Abstract The gas rich Iseni field is part of the Okpokunou Cluster (OML 35) located in Sagbama Local Government Area (LGA) of Bayelsa State that was discovered in the 1970's by four exploration wells. The cluster has the potential to deliver significant gas volumes to the Nigerian domestic gas market but to date has been undeveloped due to its remote location and lack of facilities in the area. In 2015, SPDC partnered with a reputable indigenous company (BlueStar Gas Limited (BGL) and executed a gas sales agreement for the development of the field. This partnership is poised to support Nigeria
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Zhen, Li, Xinli Sun, Jian Ding, Xia Zhang, and Xinghui Cai. "Reliability Research of Power-Supply System in Nuclear Power Plant Based on Markov Theory and Bayes Network." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29165.

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As components in an actual nuclear system have multi states and are dependent on each other, a method for system reliability analyse based on Markov theory and Bayes network is presented in this paper. The method resolves the problems of multi-state and dependence simultaneously, by utilizing Markov theory and Bayes network synthetically. Applying the method to analysing reliability of power-supply system in nuclear power plant, the system failure probability, RAW and posterior probability of each component are obtained, which are useful for system reliability evaluation, improvement of weakne
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Raporty organizacyjne na temat "Bayelsa State"

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Williams, Michael, Marcial Lamera, Aleksander Bauranov, Carole Voulgaris, and Anurag Pande. Safety Considerations for All Road Users on Edge Lane Roads. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1925.

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Edge lane roads (ELRs), also known as advisory bike lanes or advisory shoulders, are a type of shared street where two-way motor vehicle (MV) traffic shares a single center lane, and edge lanes on either side are preferentially reserved for vulnerable road users (VRUs). This work comprises a literature review, an investigation of ELRs’ operational characteristics and potential road user interactions via simulation, and a study of crash data from existing American and Australian ELRs. The simulation evaluated the impact of various factors (e.g., speed, volume, directional split, etc.) on ELR op
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