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Thèses sur le sujet « Data-Driven Strategy »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

NOHRA, MARC. "Data-driven retrofitting strategy for buildings in Minneberg, Stockholm." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283939.

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Complying with the Paris agreements requires substantial efforts in the building sector, and especially within the existing building stock which is responsible for a considerable amount of emissions and energy consumption. This master thesis focuses on the residential district of Minneberg, located in the west of Stockholm in Bromma. The urban building energy modelling (UBEM) approach is used to model the situation of the current district. This method uses real-life data provided by the district, as well as information found in energy performance certificates and in public databases. Based on

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Zhang, Zijun. "Wind turbine vibration study: a data driven methodology." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/454.

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Vibrations of a wind turbine have a negative impact on its performance and therefore approaches to effectively control turbine vibrations are sought by wind industry. The body of previous research on wind turbine vibrations has focused on physics-based models. Such models come with limitations as some ideal assumptions do not reflect reality. In this Thesis a data-driven approach to analyze the wind turbine vibrations is introduced. Improvements in the data collection of information system allow collection of large volumes of industrial process data. Although the sufficient information is cont

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Purnomo, Husnul Khotimah. "A Data Driven Retrospective Study for Medication Strategy Analyses on Longitudinal Prescription Records." Kyoto University, 2018. http://hdl.handle.net/2433/235117.

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Höcker, Filip, and Finn Brand. "‘Data over intuition’ – How big data analytics revolutionises the strategic decision-making processes in enterprises." Thesis, Internationella Handelshögskolan, Jönköping University, IHH, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48560.

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Background: Digital technologies are increasingly transforming traditional businesses, and their pervasive impact is leading to a radical restructuring of entire industries. While the significance of generating competitive advantages for businesses utilizing big data analytics is recognized, there is still a lack of consensus of big data analytics influencing strategic decision-making in organisations. As big data and big data analytics become increasingly common, understanding the factors influencing decision-making quality becomes of paramount importance for businesses. Purpose: This thesis

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Deshpande, Shubhangi. "Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35901.

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Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming. One way of tackling this problem is by constructing computationally cheap(er) approximations of the expensive simulations, that mimic the behavior of the simulation model as closely as possible. This paper presents a data driven, surrogate based optimization algorithm that uses a trust region based sequential approximate optimization (SAO) framework and a

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Abbaszadeh, Chekan Jafar. "A Data Driven Real Time Control Strategy for Power Management of Plug-in Hybrid Electric Vehicles." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/95822.

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During the past two decades desperate need for energy-efficient vehicles which has less emission have led to a great attention to and development of electrified vehicles like pure electric, Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicles (PHEVs). Resultantly, a great amount of research efforts have been dedicated to development of control strategies for this type of vehicles including PHEV which is the case study in this thesis. This thesis presents a real-time control scheme to improve the fuel economy of plug-in hybrid electric vehicles (PHEVs) by accounting for the insta

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Jaber, Sara. "Resilience as a Service : a multimodal transport strategy combining simulation, optimization, and data-driven resource allocation." Electronic Thesis or Diss., Université Gustave Eiffel, 2025. http://www.theses.fr/2025UEFL2004.

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L'objectif de cette thèse est la conception et le développement d'un système d'exploitation coopératif, des modes des transports collectifs traditionnels et les ressources existantes, afin d'offrir un réseau de transport résilient pouvant faire face aux perturbations de grandes ou petites échelles. Les véhicules seront utilisées comme service de desserte des transports collectifs traditionnels existants et comme élément régulateur en cas de perturbation. Ce système doit être capable d'aider les opérateurs à gérer de manière efficace les réseaux en cas de dérèglements ou de ruptures (problème d

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Švec, Richard. "Zhodnocení stavu systému Business Intelligence a návrhy na jeho zlepšení." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264581.

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This thesis analyzes the situation in the area of Business Intelligence at O2 Czech Republic. It focuses on identifying key issues and finding solutions to the overall improvement of the service within the company. It can be a guide for managers on how to proceed in the analysis of the BI environment, finding opportunities for improving organization setup and technical aspects, especially in the data warehouse solution. Here one can also find recommendations on how to proceed with the definition of development methodologies and how to effectively set the tools and processes associated with the

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Baitalmal, Mohammad Hamza. "A Grounded Theory Model of the Relationship between Big Data and an Analytics Driven Supply Chain Competitive Strategy." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404511/.

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The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, dat

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Baitalmal, Mohammad Hamza. "A Grounded Theory Model of the Relationship between Big Data and an Analytics-Driven Supply Chain Competitive Strategy." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc1404511/.

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The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, dat

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Marttila, Gaard Andreas, and Martin Malmgren. "DATA-DRIVEN DYNAMIC CAPABILITIES An exploration into digital transformation and business strategy building entailed by a dynamic capabilities view." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20224.

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The pervasive nature of technological advancements has increased the complexity, and thus the environmental volatility that span well across the borders of industries and na-tions. It could be argued that the need for firms to demonstrate dynamic capabilities are greater than ever before. In this conceptual study we take an exploratory approach to understand how dynamic capabilities are dynamically interconnected with digital trans-formation and the consequences this has on the business model(s) and further, the over-arching business strategy. This is realized through the introduction of a con

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Varvne, Matilda, Simon Cederholm, and Anton Medbo. "The Major Challenges in DDDM Implementation: A Single-Case Study : What are the Main Challenges for Business-to-Business MNCs to Implement a Data-Driven Decision-Making Strategy?" Thesis, Internationella Handelshögskolan, Jönköping University, IHH, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48842.

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Over the past years, the value of data and DDDM have increased significantly as technological advancements have made it possible to store and analyze large amounts of data at a reasonable cost. This has resulted in completely new business models that has disrupt whole industries. DDDM allows businesses to rely their decisions on data, as opposed to on gut feeling. Up until this point, literature is eligible to provide a general view of what are the major challenges corporations encounter when implementing a DDDM strategy. However, as the field is still rather new, the challenges identified are

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SHOAIB, MUHAMMAD. "Towards Precision Psychiatry: A data driven strategy for prioritizing antidepressant drug prescription based on predicted gene expression and drug induced expressione profiles." Doctoral thesis, Università degli studi di Brescia, 2021. http://hdl.handle.net/11379/544101.

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Towards Precision Psychiatry: A data driven strategy for prioritizing antidepressant drug prescription based on predicted gene expression and drug induced expressione profiles<br>Towards Precision Psychiatry: A data driven strategy for prioritizing antidepressant drug prescription based on predicted gene expression and drug induced expressione profiles

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LEIJON, ANNA. "The Right Price – At WhatCost? : A Multi-industry Approach in the Context ofTechnological Advancement." Thesis, KTH, Hållbarhet och industriell dynamik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214969.

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he business climate is undergoing a transformation and managers are faced with several challenges, notthe least of which is related to pricing strategy. With an increased transparency in the market as well as anincreased competitive pressure, and with more sophisticated and well-informed consumers, retailbusinesses find it hard to navigate the pricing jungle. At the same time, the conventional wisdom in thefield of pricing and the theoretical models on the topic, originate from a time long before thedigitalization. Old models are not a problem in itself, but when there are new forces in the pr

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Petkovic, Nikola. "RefStratERP – A Refactoring Strategy for ERP Systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-227810.

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Enterprise Resource Planning (ERP) systems are used to integrate all functions of an enterprise. They often evolve from a smaller monolithic object-oriented application, covering one functional area and organically grow over time in features and size until all functional areas are covered. Once they reach certain size, unrestricted dependencies among numerous classes increase complexity of the system and make it harder for development team to create new features and maintain code stability. This creates problems to further evolution of the ERP system and poses a risk to economic consequences f

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Leijon, Anna Mikaelsdotter. "The Right Price - At What Cost? : A Multi-industry Approach in the Context of Technological Advancement." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217898.

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The business climate is undergoing a transformation and managers are faced with several challenges, not the least of which is related to pricing strategy. With an increased transparency in the market as well as anincreased competitive pressure, and with more sophisticated and well-informed consumers, retail businesses find it hard to navigate the pricing jungle. At the same time, the conventional wisdom in the field of pricing and the theoretical models on the topic, originate from a time long before the digitalization. Old models are not a problem in itself, but when there are new forces in t

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Economou, Emmanuel. "How institutional pressures influence data-driven corporate communications." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/209153/1/Emmanuel_Economou_Thesis.pdf.

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This study explores the use of data to guide corporate communications, a practice of which empirical research is limited, and is the first to investigate how institutional pressures influence practitioners in their work. In-depth interviews were conducted with 15 participants from a wide range of organisations in Brisbane, Australia. Additionally, the study illustrates the current state of research on big data in corporate communication in a systematic literature review. The study’s findings indicate that institutional pressures influence data-driven corporate communications and are generally

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Peyne, Benjamin, and Ariane Chan. "Data-driven decision making in Marketing : A theoretical approach." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33545.

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Customer insight is at the heart of the big data era. This revolution makesit possible to directly obtain high potential data and in large quantitiesabout customers. Thus we take note that, more than ever, a large volumeof big data is collected by companies.We observe that big data have become a necessary tool within marketing.More and more companies orient their decisions according to theinformations provided by data, with the aim of quickly having betterresults.Nevertheless, in order to integrate these big data in a better way and gaina competitive advantage, companies must face new challeng

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NADI, ADRIAN, and YLVA STEFFNER. "Assessment of a prediction-based strategy for mixingautonomous and manually driven vehicles in an intersection." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217843.

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The introduction of autonomous vehicles in traffic is driven by expected gains in multiple areas, such as improvement of health and safety, better resource utilization, pollution reduction and greater convenience. The development of more competent algorithms will determine the rate and level of success for the ambitions around autonomous vehicles. In this thesis work an intersection management system for a mix of autonomous and manually driven vehicles is created. The purpose is to investigate the strategy to combine turn intention prediction for manually driven vehicles with scheduling of aut

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Abrahams, Narzeen. "A study to determine the perception of people analytics tools to improve people management practices in selected departments within the public sector in the Western Cape." University of Western Cape, 2020. http://hdl.handle.net/11394/7401.

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Magister Commercii (Industrial Psychology) - MCom(IPS)<br>People analytics refer to people-related, data-driven, processes (e.g. trend analyses and data management) aimed at describing and evaluating the effectiveness and efficiency of people management practices and processes in support of business outcomes in order to inform and improve people management initiatives and performance as well as business decision making.

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Park, John Jinoh. "The Strategic Prevention Framework: Effectiveness of Substance Abuse Prevention System." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3914.

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The strategic prevention framework (SPF) is a data-driven operating system to assist designing evidence-based substance abuse prevention programs. The study performed here was to assess the effectiveness of the SPF as a prevention planning system. One purpose of this study was to determine the implementation fidelity of the programs that used the SPF process; the other purpose was to assess effectiveness of the SPF process. This study utilized a set of data collected by the national cross site evaluation team on all jurisdictions that implemented the SPF. A subset of communities collected and

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Barreca, Giulia. "L’acquisition de la liaison chez des apprenants italophones : des atouts d’un corpus de natifs pour l’étude de la liaison en français langue étrangère (FLE)." Thesis, Paris 10, 2015. http://www.theses.fr/2015PA100186/document.

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Dans le cadre du projet « InterPhonologie du Français Contemporain » (IPFC) (Racine, Detey et Kawaguchi 2012) ce travail se propose d’examiner les stratégies d’acquisition de la liaison en L2. Si des modèles développementaux ont été proposés pour l’acquisition de la liaison en L1, aucune hypothèse pour rendre compte de l’apprentissage en L2 n’a reçu à ce jour un appui empirique convaincant (Wauquier 2009). C’est dans ce contexte que s’inscrit la présente étude longitudinale menée auprès d’étudiants italophones de français langue étrangère (FLE) (niveau A2-B1) dont les résultats ont été enrichi

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Belmar, Gil Mario. "Computational study on the non-reacting flow in Lean Direct Injection gas turbine combustors through Eulerian-Lagrangian Large-Eddy Simulations." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/159882.

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[ES] El principal desafío en los motores turbina de gas empleados en aviación reside en aumentar la eficiencia del ciclo termodinámico manteniendo las emisiones contaminantes por debajo de las rigurosas restricciones. Ésto ha conllevado la necesidad de diseñar nuevas estrategias de inyección/combustión que operan en puntos de operación peligrosos por su cercanía al límite inferior de apagado de llama. En este contexto, el concepto Lean Direct Injection (LDI) ha emergido como una tecnología prometedora a la hora de reducir los óxidos de nitrógeno (NOx) emitidos por las plantas propulsoras de lo

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Bento, Patrícia Isabel Penteado Roque. "How data governance frameworks can leverage data-driven decision making: a sustainable approach for data governance in organizations." Master's thesis, 2022. http://hdl.handle.net/10362/135547.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence<br>With the technological advances, organizations have experienced an increasing volume and variety of data, as well as the need to explore it to stay competitive. Data governance importance emerges to support the data flow, to record and manage knowledge derived from data, as well as establishing roles, accountabilities, and strategies, which further results in better decision-making. Through the definition of strategies

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More, Kenneth George. "Analysis and modification of verbal coaching behaviour: the utility of a data driven intervention strategy." Thesis, 1994. http://hdl.handle.net/2429/5664.

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Systematic observation instruments have been developed to provide valid and reliable information on key elements of effective instruction in the physical education and sport environment. The instruments used in research on verbal behaviour, however, (Lacy & Darst, 1985; Segrave & Ciancio, 1990) do not fully describe instructional style and, therefore, any behaviour modification based on such assessment is limited to the scope of the instrument. The Coach Analysis Instrument II (CAI (II), [More et al, 1992]), was designed to provide a more complete description of the verbal skills require

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"A Data-Driven Strategy to Enable Efficient Participation of Diverse Social Classes in Smart Electric Grids." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.55619.

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abstract: The grand transition of electric grids from conventional fossil fuel resources to intermittent bulk renewable resources and distributed energy resources (DERs) has initiated a paradigm shift in power system operation. Distributed energy resources (i.e. rooftop solar photovoltaic, battery storage, electric vehicles, and demand response), communication infrastructures, and smart measurement devices provide the opportunity for electric utility customers to play an active role in power system operation and even benefit financially from this opportunity. However, new operational challenge

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Dobreva, Maria Lubomirova. "Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup." Master's thesis, 2019. http://hdl.handle.net/10362/91224.

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Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management<br>This is a research project for applying data mining techniques on Real Estate data in cooperation with Homeheed, a startup in the area of real estate, providing a platform solution as a single source of truth in Sofia, Bulgaria. This project suggests the development of a predictive model by using LASSO regression with the premise to determine days on market. As a consequence, the discoveries are expected to contribute

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Piehozki, Matthias. "Analytics as an isolating mechanism for start-ups with data-driven business models in the health care industry." Master's thesis, 2017. http://hdl.handle.net/10362/23466.

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The following work investigates whether the competence of turning data into relevant information can make companies in the health care industry less vulnerable to imitation by other companies. The objective is to present a first overview of this topic and thus close a gap in the respective field of research whilst also providing a practical insight for the affected companies. Within the process of research, the pertinent theory on corporate strategy has been elaborated with the use of secondary sources. For the empirical results, founders and decisionmaking executives of seven relevant c

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(9187742), SAYEDMOHAMMADMA VAEZ MOMENI. "FEED-FORWARD NEURAL NETWORK (FFNN) BASED OPTIMIZATION OF AIR HANDLING UNITS: A STATE-OF-THE-ART DATA-DRIVEN DEMAND-CONTROLLED VENTILATION STRATEGY." Thesis, 2020.

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Heating, ventilation and air conditioning systems (HVAC) are the single largest consumer of energy in commercial and residential sectors. Minimizing its energy consumption without compromising indoor air quality (IAQ) and thermal comfort would result in environmental and financial benefits. Currently, most buildings still utilize constant air volume (CAV) systems with on/off control to meet the thermal loads. Such systems, without any consideration of occupancy, may ventilate a zone excessively and result in energy waste. Previous studies showed that CO<sub>2</sub>-based demand-controlled vent

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Momeni, Mehdi. "Feed-Forward Neural Network (FFNN) Based Optimization Of Air Handling Units: A State-Of-The-Art Data-Driven Demand-Controlled Ventilation Strategy." Thesis, 2020. http://hdl.handle.net/1805/23569.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Heating, ventilation and air conditioning systems (HVAC) are the single largest consumer of energy in commercial and residential sectors. Minimizing its energy consumption without compromising indoor air quality (IAQ) and thermal comfort would result in environmental and financial benefits. Currently, most buildings still utilize constant air volume (CAV) systems with on/off control to meet the thermal loads. Such systems, without any consideration of occupancy, may ventilate a zone excessively and result in energy waste. Previous st

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Miller-Wells, John, and Travis Teetor. "Data-Driven Strategic Planning for Access Services." 2012. http://hdl.handle.net/10150/221751.

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Poster presentation from the Living the Future 8 Conference, April 23-24, 2012, University of Arizona Libraries, Tucson, AZ.<br>This poster will describe the process and role of the University of Arizona's Access Services and frontline public service staff in needs assessment and user service evaluation, specifically in understanding the voice of the customer. We will include information on our strategic planning process, resources required, data sources, methodology, analytical tools, and the outcomes of this process. Information in this poster was first presented at the 2010 Access Services

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Martel, Marc-Antoine. "La stratégie numérique des partis politiques québécois lors de la campagne électorale de 2018." Thèse, 2019. http://hdl.handle.net/1866/22757.

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CHEN, HUI-LIN, and 陳惠玲. "Big Data-Driven Innovation to Capture User-Experience for Market Strategic Decision : An Empirical Study for Healthcare Information Industry." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/bp8da3.

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Priori, Carlo, and ANGELIS Maurizio DE. "MODELING AND OUTPUT-ONLY IDENTIFICATION OF LINEAR DAMPED STRUCTURES." Doctoral thesis, 2016. http://hdl.handle.net/11573/865193.

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The research focuses on the modeling and the structural identification of linear damped structures. In particular, the attention has been set to models for which the dissipative forces depend either on the instant values of velocity (viscous damping) and on the history of velocity (non-viscous damping), in order to accurately reproduce the dynamic behaviour of of structures with energy dissipation devices. Specific interest has been pointed also towards output-only identification techniques, because in real life applications it is not always feasible neither to measure the input acting on a st

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