Relevant bibliographies by topics / Predictive project management

Contents

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

Academic literature on the topic 'Predictive project management'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Predictive project management"

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Clayton, Mike. "Classic, predictive project management." Business & Management Collection 2024, no. 11 (2024): e1006386. http://dx.doi.org/10.69645/sysp8079.

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Cruz, Mia Torres-Dela, Subashini A/P Ganapathy, and Noor Zuhaili Binti Mohd Yasin. "Knowledge Management and Predictive Analytics in IT Project Risks." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-ICAEIT2017 (2018): 209–16. http://dx.doi.org/10.31142/ijtsrd19142.

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Mohammad, Abdullah, Minhajul Amin Md, Yasmin Tisha Sakina, Samin Kafil Sabera, and Kownine Antor Tahsin. "Utilizing Artificial Intelligence for Predictive Project Management." International Journal of Novel Research in Engineering and Science 11, no. 2 (2024): 36–43. https://doi.org/10.5281/zenodo.14293301.

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<strong>Abstract:</strong> The integration of Artificial Intelligence (AI) into predictive project management has revolutionized the way projects are planned, monitored, and executed. This study explores the application of AI-driven models, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Random Forest (RF), to predict project timelines and costs accurately. The models were trained on real-world data, with results showing ANN as the most effective in reducing errors and improving reliability. Key insights reveal that AI enhances decision-making, minimizes deviatio
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Khandhar, Aangi B. "A Review on Parking Occupancy Prediction and Pattern Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29597.

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Parking occupancy prediction and pattern analysis is a crucial component of modern urban management systems. Utilizing advanced data analysis techniques, this project aims to develop a predictive model for forecasting parking occupancy levels and analyzing patterns within parking data. By leveraging machine learning algorithms and statistical methods, the project seeks to provide insights into parking behavior and optimize resource allocation in urban areas. The implementation of parking occupancy prediction and pattern analysis contributes to efficient urban planning, improved traffic managem
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Theingi Aung, Sui Reng Liana, Arkar Htet, and Amiya Bhaumik. "Using Machine Learning to Predict Cost Overruns in Construction Projects." Journal of Technology Innovations and Energy 2, no. 2 (2023): 1–7. http://dx.doi.org/10.56556/jtie.v2i2.511.

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Addressing the persistent issue of cost overruns in construction projects, our study explores the potential of machine learning algorithms for accurately predicting these overruns, utilizing an expansive set of project parameters. We draw a comparison between these innovative techniques and traditional cost estimation methods, unveiling the superior predictive accuracy of machine learning approaches. This research contributes to existing literature by presenting a data-driven, reliable strategy for anticipating and managing construction costs. Our findings have significant implications for pro
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Setiyono, Setiyono, Apif Miptahul Hajji, Aisyah Larasati, and Imam Alfianto. "Simulasi Progres Proyek Konstruksi Time Performance Menggunakan Earned Value Management dengan Integrasi Artificial Neural Network." Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil 12, no. 1 (2024): 37–48. http://dx.doi.org/10.33558/bentang.v12i1.7296.

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Digitization of construction using technologies such as AI, Big Data, Machine Learning, and Internet of Things (IoT) can help improve the productivity and efficiency of the construction industry. Machine learning methods such as Artificial Neural Network (ANN) are used to solve complex problems, including in construction projects. In addition, Earned Value Management (EVM) is used as a method to analyze and control project performance and estimate project completion time. Although EVM has the disadvantage of predicting estimated project completion times that are linear in nature, the use of no
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Varma, Gautam Kumar. "Managing Risk Using Prediction Markets." Journal of Prediction Markets 7, no. 3 (2014): 45–60. http://dx.doi.org/10.5750/jpm.v7i3.804.

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Prediction markets have emerged fairly recently as a promising forecasting mechanism to handle efficiently the dynamic aggregation of dispersed information among various agents. The interest that this mechanism attracts seems to be increasing at a steady rate, in terms of both business interest and academic work. Applications of predictive markets span the areas of political predictions, sports prediction, Governance to name a few. This paper makes a bold attempt to explore the use of predictive markets for effective risk management process in projects to derive certainty in projects. The key
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Thoumy, Mira, and Joelle Moubarak. "Project Manager Assignment and Its Impact on Multiple Project Management Effectiveness." International Journal of Information Technology Project Management 8, no. 4 (2017): 46–65. http://dx.doi.org/10.4018/ijitpm.2017100104.

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This article aims at identifying the predictive effect of Project Manager's assignment on multiple project management effectiveness in the case of information technology projects in the Lebanese banks. The multiple project management effectiveness was measured on 3 different levels: organizational, projects success and project manager. A survey-based analysis was conducted on a random sample of 43 project managers working in 19 different Lebanese commercial banks. The results showed that most of the project manager's assignment factors influence positively the multiple project effectiveness wi
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jegede, Oluwaleke, and Olalekan Kehinde A. "Project Management Strategies for Implementing Predictive Analytics in Healthcare Process Improvement Initiatives." International Journal of Research Publication and Reviews 6, no. 1 (2025): 1574–88. https://doi.org/10.55248/gengpi.6.0125.0330.

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Arome Salifu. "Leveraging predictive analytics in project risk management: A case study of us government agencies." International Journal of Science and Research Archive 15, no. 3 (2025): 307–11. https://doi.org/10.30574/ijsra.2025.15.3.1455.

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Efficient project risk management is essential in the successful completion of any projects by addressing the identification, evaluation, and mitigation of risks to minimize potential negative impacts on project deliverables. The emergence of predictive analytics represents a transformative shift towards data-driven decision-making and operational efficiency. This study delves into Leveraging Predictive Analytics in Project Risk Management: A Case Study of US Government Agencies. The study highlighted predictive data analytics, integrating predictive analytics, process of predictive data analy
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Dissertations / Theses on the topic "Predictive project management"

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Sánchez, Garzón Felipe. "Supporting the transformation of a company's project management by elaborating an invariant-based project management maturity model and a causal predictive model between maturity criteria and project performance." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0245.

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Cette thèse CIFRE, réalisée au sein de SOPRA STERIA, apporte une contribution sur l’élaboration d’un modèle causal entre la maturité de la gestion de projet et les performances du projet et propose une méthodologie pour construire une architecture d'un système de prévision des performances d’un projet. Pour élaborer une telle architecture, il nous a fallu définir des modèles décrivant de façon rigoureuse et abstraite ce qu’est la maturité de la gestion de projet et une méthode explicitant la relation causale entre cette maturité et les performances des projets, notamment la réduction du risque
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Hanif, Tahir. "A new approach to project management based on a combination of predictive and adaptive thinking." Thesis, Kingston University, 2011. http://eprints.kingston.ac.uk/22968/.

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This thesis looks at the two main thinking types currently encountered in project management i.e. Predictive & Adaptive Project Management. Predictive project management thinking consists of the development of a schedule from a known scope and then managing the implementation of the project in accordance with that schedule. This type of thinking is also known as the traditional approach to project management and has been extensively used since the introduction of project management in the 1960s. Adaptive thinking is used for fast track projects that are going to be subjected to a high rate of
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Halliburton, Richard. "Exploring the project management community paradigm and the role of performance prediction." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9258.

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‘Project performance’ is the metric of delivering project objectives. This research is motivated by levels of project failure and the purpose of the research is to investigate improved project performance. The scientific spectrum is considered; arguing project management as a sub-field of management science based in ‘design science’. Despite research since the 1950s, there is no established community paradigm for project management, illustrated by multiple ‘schools of thought’ failing to stimulate performance improvement. This is investigated with respect to the changing nature of projects and
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McMullen, Mac Jackson. "Contingency Theory| United States Small Business Predictive Performance with Project Management Using Partial Least Squares Structural Equation Modeling." Thesis, Northcentral University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10042193.

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<p> Small business entrepreneurs (SBEs) within the United States in 2014 produced 47% of the national $17.5 trillion GDP and employed 48.5% of the national labor force. Detailed business planning was a theorized predictor of SBE performance and project, program, and portfolio management (P3M) as detailed managerial planning processes influenced by organizational theories. The specific problem was the failure of SBEs due to a lack of business management planning and the unknown generalizable U.S. SBE use of P3M as detailed managerial planning processes to enhance SBE performance. The purpose
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Ahadzie, Divine Kwaku. "A model for predicting the performance of project managers in mass house building projects in Ghana." Thesis, University of Wolverhampton, 2007. http://hdl.handle.net/2436/15393.

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Presently, within the human resource management (HRM) genre and including the construction management discipline, the identification and development of appropriate performance measures is seen as the only viable means for validating and engendering managerial excellence. There is also a growing awareness that appropriate predictive modelling practices can help engender the identification and development of these measures. Against the background that project-based sectors of the construction industry in developing countries need to adopt a proactive approach towards recognising and embedding pe
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Tam, C. M. "Discriminant analysis model for predicting contractor performance in Hong Kong." Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/6842.

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This thesis describes the development of an operational research model for the identification of determinating variables and prediction of contractor performance in Hong Kong. The mathematical technique used is the Discriminant Analysis approach. The model is also verified with two other analyses Multiple Regression Analysis and Unidimensional Scaling Analysis. One of the aims of the research is to betray the underlying factors that influence contractor performance which are measured in the clients' point of view. The second aim is to develop an accurate model for predicting contractor perform
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Doležal, Jan. "Predikce v projektech s využitím Markovských řetězců." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-233911.

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This thesis is focused on possibilities of a project development prediction and a decision support for managers of those projects, which is an up to date topic in the present time turbulent environment. Project is understood as a stochastic process with discrete states and discrete time in this thesis. This approach could be represented by discrete moments of finding out project state. Project is compared to a finite automaton and Markovs chains are subsequently used. State model of the project based on Earned Value Management method is created in the proposal part of this thesis and there are
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Dun, Shuhui. "Adapting WEPP (Water Erosion Prediction Project) for forest watershed erosion modeling." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Thesis/Summer2006/S%5FDun%5F073106.pdf.

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Nimmatoori, Praneeth. "Comparison of Several Project Level Pavement Condition Prediction Models." University of Toledo / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1578491583921183.

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Srivastava, Anurag Dougherty Mark Zech Wesley C. "Application and evaluation of WEPP in a forested watershed with perennial streams." Auburn, Ala., 2010. http://hdl.handle.net/10415/2036.

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Books on the topic "Predictive project management"

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Baim, Robert F. Avoiding the OS phase--: Simple strategies for predictive project management. Warwick House Pub., 2006.

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Keane, Robert E. Predicting biogeochemical ecosystem processes in the Columbia River Basin using the BGC model. [Intermountain Research Station, Fire Sciences Laboratory], 1996.

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National Water Availability and Use Program (U.S.). Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes Water Availability Pilot Project. U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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1950-, Davis James A., and OECD Nuclear Energy Agency, eds. NEA Sorption Project phase II: Interpretation and prediction of radionuclide sorption onto substrates relevant for radioactive waste disposal using thermodynamic sorption models : a report produced for the Management Board of the NEA Sorption Project. Nuclear Energy Agency, Organisation for Economic Co-operation and Development, 2005.

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Mcmanus, Teddie. Project Management Introduction: Agile, Predictive and Hybrid Approaches. Independently Published, 2022.

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Avoiding the OS phase--: Simple strategies for predictive project management. 2nd ed. Warwick House Pub., 2010.

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Schwalbe, Kathy. Introduction to Project Management, Seventh Edition: Predictive, Agile, and Hybrid Approaches. Schwalbe Publishing, 2021.

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Project Management Predictive Principles and Practices: Optimizing Outcomes in Multi-Company Environments. Team Implementers LLC, 2023.

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Insider's Guide to ACE the PMP: Embracing Predictive, Adaptive, and Hybrid Approaches to Project Management. Publishing, Self, 2023.

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Insider's Guide to ACE the PMP: Embracing Predictive, Adaptive, and Hybrid Approaches to Project Management. Publishing, Self, 2024.

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Book chapters on the topic "Predictive project management"

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Richardson, Gary L., and Brad M. Jackson. "The Classic Predictive Model." In Optimizing Project Work, Management, and Delivery. Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003431091-10.

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Silvius-Zuchi, Dagmar, and Gilbert Silvius. "Predictive, adaptive and hybrid project approaches." In The Handbook of Project Management, 6th ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003274179-25.

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Lemos, L. A., L. M. Brasil, and J. F. Silva. "Predictive Project Management for Biomedical Devices." In IFMBE Proceedings. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_547.

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Nielsen, Klaus, Giampaolo Marucci, and Jean-Luc Favrot. "Predictive, plan-based methodologies." In Mastering the NEW PMI Certified Associate in Project Management (CAPM)® Exam (2023 Version). Productivity Press, 2024. http://dx.doi.org/10.4324/9781003462378-5.

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Cerezo, A., A. Pastor, M. Otero, and J. M. Portela. "Predictive Tools for Project Performance Management in the Construction Industry." In Lecture Notes in Management and Industrial Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92273-7_1.

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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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Pacifico, Maria Giovanna, Maria Rita Pinto, and Antonio Novellino. "Digital—Twin for an Innovative Waterfront Management Strategy. Pilot Project DSH2030." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_20.

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AbstractIn the era of smart cities, the digital twin of a settlement system allows not only the real-time control of the quality levers offers by the subsystems, but also the prediction of the future performance over the life cycle. This is feasible through the implementation of predictive models and the simulation of the impact that the design solutions can generate. The Digital and Sustainable Harbour 2030 (DSH2030) project, funded under the Liguria region’s POR FESR, sees the cooperation of the Innovation, Development, and Sustainability structure of the Porto Antico of Genoa, with ETT S.p.
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Bologna, Roberto, and Giulio Hasanaj. "A Systematic Catalogue of Design Solutions for the Regeneration of Urban Environment Contrasting the Climate Change Impact." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_54.

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AbstractThe article illustrates a research for the definition of a catalogue of design solutions for climate change adaptation in the process of urban regeneration, reducing the vulnerability to climate change impacts and increasing the city resilience. Based on the analysis of relevant case studies of architectural and urban projects in the main biogeographical regions of Europe, the paper describes the research methodology applied for the construction of a catalogue of spatial and technological adaptive design models mainly focusing on the category of “nature-based solutions” but also consid
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Biagini, Carlo, Alberto Aglietti, LUCA MARZI, and Andrea Bongini. "A BIM-Based Framework for Facility Management Data Integration in Heritage Assets." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.115.

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The operational phase of a real estate asset accounts for approximately 80% of the overall investment and management costs throughout the entire life cycle of the building, and the activities of space management and monitoring of building components and systems play a crucial role in ensuring the well-being and health of users. The AECO (Architecture, Engineering, Construction, and Operation) industry is transitioning towards a new framework governed by data-driven processes. In this context, Building Information Modeling (BIM) can support the utilization of big data generated throughout diffe
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Biagini, Carlo, Alberto Aglietti, LUCA MARZI, and Andrea Bongini. "A BIM-Based Framework for Facility Management Data Integration in Heritage Assets." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.115.

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The operational phase of a real estate asset accounts for approximately 80% of the overall investment and management costs throughout the entire life cycle of the building, and the activities of space management and monitoring of building components and systems play a crucial role in ensuring the well-being and health of users. The AECO (Architecture, Engineering, Construction, and Operation) industry is transitioning towards a new framework governed by data-driven processes. In this context, Building Information Modeling (BIM) can support the utilization of big data generated throughout diffe
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Conference papers on the topic "Predictive project management"

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Schützko, Florian, and Holger Timinger. "Predictive analytics for project management." In 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2023. http://dx.doi.org/10.1109/ice/itmc58018.2023.10332400.

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Lemos, L. A., L. M. Brasil, J. F. Silva, and F. G. G. Elpidio. "Biomedical devices project implementation with predictive management." In 2012 Pan American Health Care Exchanges (PAHCE 2012). IEEE, 2012. http://dx.doi.org/10.1109/pahce.2012.6233432.

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Ricklefs, Hannes, Stefan Puschendorf, Sandilya Bhamidipati, Brian Eriksson, and Akshay Pushparaja. "From VFX project management to predictive forecasting." In SIGGRAPH '17: Special Interest Group on Computer Graphics and Interactive Techniques Conference. ACM, 2017. http://dx.doi.org/10.1145/3084363.3085036.

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Coulot, Maxime, Robert Pellerin, Esma Yahia, and Simon Harris. "Predictive Methods for Event Revenues and Expenses to Support Convention Center Portfolio Management." In 12th IPMA Research Conference “Project Management in the Age of Artificial Intelligence”. International Project Management Association – IPMA, IPMA USA, 2024. http://dx.doi.org/10.56889/drzt2050.

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Creating an efficient event portfolio is a multifaceted challenge for convention centers that involves selecting the right mix of events to maximize their economic impact and profitability. Accurate prediction of event revenues and expenses based on event characteristics is crucial in the evaluation and selection phases of a project portfolio management process. This study proposes a comparison of three prediction methods specifically applied to event revenues and expenses. Three of the evaluated methods employed Artificial Intelligence (AI) techniques (decision trees, random forest, and multi
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Zafra-Cabeza, Ascension, Miguel A. Ridao, and Eduardo F. Camacho. "A model predictive control approach for project risk management." In European Control Conference 2007 (ECC). IEEE, 2007. http://dx.doi.org/10.23919/ecc.2007.7068825.

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Zhang, Yi, Wei Rong, Weiyi Xie, Xixi Chen, Meng Zhou, and Liangwen Liu. "Cause Analysis of Wellhead Uplift of Gas Storage Wells and Predictive Control Research." In The 10th International Symposium on Project Management, China. Aussino Academic Publishing House, 2022. http://dx.doi.org/10.52202/065147-0100.

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Schuh, Gunther, Michael Riesener, and Christian Dolle. "Concept for development project management by aid of predictive analytics." In 2016 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2016. http://dx.doi.org/10.1109/picmet.2016.7806640.

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Trifonov, V. A. "Predictive Analytics In Single-Industry Town Risk Management." In MTSDT 2019 - Modern Tools for Sustainable Development of Territories. Special Topic: Project Management in the Regions of Russia. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.12.05.7.

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Mariani, Costanza, and Mauro Mancini. "Artificial Intelligence Adoption in Project Management: Are We Still Far from Practical Implementation?" In 6th IPMA SENET Project Management Conference “Digital Transformation and Sustainable Development in Project Management”. International Project Management Association, IPMA Publications, and Faculty of Civil Engineering, University of Zagreb, Croatia, 2023. http://dx.doi.org/10.5592/ce/senet.2022.3.

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The era of Digital transformation is proposing the usage of computer science in completely new ways and areas of application mainly the continuous interaction with human beings. This phenomenon is fostering the possibility to test those applications in a very wide range of the worldwide population giving the chance to speed up the process of new needs identification and implementation. Artificial Intelligence is following exactly this path emerging as one of the most promising hypotheses for improving many processes that still suffer from inefficiency and inaccuracy. Nevertheless, AI adoption
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Mariani, Costanza, and Mauro Mancini. "Artificial Intelligence Adoption in Project Management: Are We Still Far from Practical Implementation?" In 6th IPMA SENET Project Management Conference “Digital Transformation and Sustainable Development in Project Management”. International Project Management Association, IPMA Publications, and Faculty of Civil Engineering, University of Zagreb, Croatia, 2023. http://dx.doi.org/10.5592/co/senet.2022.3.

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The era of Digital transformation is proposing the usage of computer science in completely new ways and areas of application mainly the continuous interaction with human beings. This phenomenon is fostering the possibility to test those applications in a very wide range of the worldwide population giving the chance to speed up the process of new needs identification and implementation. Artificial Intelligence is following exactly this path emerging as one of the most promising hypotheses for improving many processes that still suffer from inefficiency and inaccuracy. Nevertheless, AI adoption
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Reports on the topic "Predictive project management"

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Apiyo, Eric, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving Pharmacovigilliance Quality Management System in the Pharmacy and Poisions Board of Kenya. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317444.

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The purpose of this study was to explore ways of improving the pharmacovigilance quality system employed by the Pharmacy and Poisons Board of Kenya. The Pharmacy and Poisons Board of Kenya employs a hybrid system of pharmacovigilance that utilizes an online system of reporting pharmacovigilance incidences and a physical system, where a yellow book is physically filled by the healthcare worker and sent to the Pharmacy and Poisons Board for onward processing. This system, even though it has been relatively effective compared to other systems employed in Africa, has one major flaw. It is a slow a
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Nasr, Elhami, Tariq Shehab, Nigel Blampied, and Vinit Kanani. Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2365.

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The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected
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Wang, Kun, and Ian Stewart. Can artificial intelligence learn to be a project professional? Potential implications for the professional status of project management. Association for Project Management, 2022. http://dx.doi.org/10.61175/tema4085.

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How to use AI technology in project management has had a lot of attention recently and the impact of AI has become a popular topic to debate when predicting the future of the project profession. AI has potential to become a significant tool for project professionals when delivering projects. Our report, led by the University of Southampton explores how professionals view the current state of AI in project management. This research aimed to study the general perception of AI and the ease of use of AI technology within projects. The scope of the report is to find common themes of AI in projects
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Dacre, Nicholas, and Fredrik Kockum. Artificial intelligence in project management: A review of AI’s usefulness and future considerations for the project profession. Association for Project Management, 2022. http://dx.doi.org/10.61175/dogx9829.

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How to use AI technology in project management has had a lot of attention recently and the impact of AI has become a popular topic to debate when predicting the future of the project profession. AI has potential to become a significant tool for project professionals when delivering projects. Our report, led by the University of Southampton explores how professionals view the current state of AI in project management. This research aimed to study the general perception of AI and the ease of use of AI technology within projects. The scope of the report is to find common themes of AI in projects
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Valerdi, Ricardo, and Matthew Potoski. Prediction Markets as an Information Aggregation Tool for Effective Project Management in Defense Acquisition Projects. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada544197.

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Latorre, Lucia, Eduardo Rego, Lorenzo De Leo, Mariana Gutierrez, Jose Daniel Zarate, and Ana Isabel Chaparro Garzon. Tech Report: GIS. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013017.

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GIS applications are extensive, spanning project management, agriculture, urban planning, and emergency response. In project monitoring, GIS enables effective resource prediction and allocation. In agriculture, it aids in resource planning, while in urban planning, it enhances infrastructure maintenance and service management. Moreover, GIS plays a crucial role in emergency response, optimizing information and resource distribution. Additionally, it contributes significantly to environmental conservation and search and rescue missions, enhancing the efficiency and effectiveness of these endeav
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VanderGheynst, Jean, Michael Raviv, Jim Stapleton, and Dror Minz. Effect of Combined Solarization and in Solum Compost Decomposition on Soil Health. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7594388.bard.

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In soil solarization, moist soil is covered with a transparent plastic film, resulting in passive solar heating which inactivates soil-borne pathogen/weed propagules. Although solarization is an effective alternative to soil fumigation and chemical pesticide application, it is not widely used due to its long duration, which coincides with the growing season of some crops, thereby causing a loss of income. The basis of this project was that solarization of amended soil would be utilized more widely if growers could adopt the practice without losing production. In this research we examined three
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Tiku, Sanjay, Arnav Rana, and Binoy John. PR214-223810-R01 Improvement in Dent Assessment and Management Tools. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000090.

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This project builds on and supplements existing mechanical damage (MD) assessment and management tools, developed on behalf of Pipeline Research Council International (PRCI), Interstate Natural Gas Association of America (INGAA), Canadian Energy Pipeline Association (CEPA), American Petroleum Institute (API), other research organizations and individual pipeline operators, many of which are included in API Recommended Practice (RP) 1183 (1). Since the assembly of API RP 1183, PRCI has continued its mechanical damage strategic research priority in the development of a greater understanding of th
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Higgins, Paul, Ya'el Seid-Green, Andy Miller, and Annalise Blum. Towards an Integrated Approach to Water. American Meteorological Society, 2018. https://doi.org/10.1175/integrated-water-2018.

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This study is the culmination of a 3-year AMS Policy Program project to advance the integrated consideration of water—the full accounting of water for prediction, risk assessment, and risk management of weather and climate risks. It recapitulates and synthesizes three prior analyses: 1) Understanding the Water Landscape of the United States: A Review of Science &amp; Policy Recommendations; 2) Water &amp; the Coasts: Opportunity, Vulnerability, &amp; Risk Management, a study based on two workshops that explored regional challenges in the gulf coast, west coast, atlantic coast, and the great la
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Paolinelli, Luciano, and Srdjan Nesic. PR646-173609-Z01 Water Wetting Prediction Tool for Pipeline Integrity. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012111.

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Current approaches for pipeline integrity management, as related to internal corrosion, largely depend on Internal Corrosion Direct Assessment (ICDA) type approach. An essential part of these assessments is to predict if corrosive water phase is in direct contact with the internal pipe wall, a phenomenon commonly called "water wetting". In general, water wetting prediction models currently used by pipe integrity engineers are lagging behind the current level understanding. The Institute for Corrosion and Multiphase Technology (ICMT) at Ohio University has developed and validated a mechanistic
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