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Thèses sur le sujet « Sustainable artificial intelligence »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

Haidar, Ahmad. "Responsible Artificial Intelligence : Designing Frameworks for Ethical, Sustainable, and Risk-Aware Practices." Electronic Thesis or Diss., université Paris-Saclay, 2024. https://www.biblio.univ-evry.fr/theses/2024/interne/2024UPASI008.pdf.

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L'intelligence artificielle (IA) transforme rapidement le monde, redéfinissant les relations entre technologie et société. Cette thèse explore le besoin essentiel de développer, de gouverner et d'utiliser l'IA et l'IA générative (IAG) de manière responsable et durable. Elle traite des risques éthiques, des lacunes réglementaires et des défis associés aux systèmes d'IA, tout en proposant des cadres concrets pour promouvoir une Intelligence Artificielle Responsable (IAR) et une Innovation Numérique Responsable (INR).La thèse commence par une analyse approfondie de 27 déclarations éthiques mondia

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Ruberg, Nicolaas. "Bert goes sustainable: an NLP approach to ESG financing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24787/.

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Environmental, Social, and Governance (ESG) factors are a strategic topic for investors and financing institutions like the Brazilian Development Bank (BNDES). Currently, the bank’s experts are developing a framework based on those factors to assess companies' sustainable financing. We identify an opportunity to use Natural Language Processing (NLP) in this development. This opportunity arises from the observation that a critical document to the ESG analysis is the company annual activity report. This document undergoes a manual screening, and later it is decomposed, and its parts are redirect

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Russo, Inês Filipa Duarte. "O impacte da inteligência artificial na sustentabilidade ambiental : uma agricultura sustentável." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/21023.

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Mestrado em Gestão de Sistemas de Informação<br>Para lidar com o aumento da procura e de várias tendências disruptivas com sucesso, a indústria agrícola precisará superar os desafios de uma implementação de conectividade avançada. O presente estudo tem assim as seguintes questões de investigação: 1. Como pode a IA contribuir para uma gestão sustentável da agricultura? 2. Como introduzir o uso de IA na agricultura de uma forma continuada? E tem como objetivos de investigação: 1.Analisar as principais características das ferramentas baseadas em IA que permitem uma gestão sustentável da agricultu

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Kamal, Khurram. "Utilisation of embedded information devices to support a sustainable approach to product life-cycle management." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/8137.

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The huge landfills from solid waste generated by the massive utilisation of different products from domestic sources are badly affecting the environment. About 70% of the solid municipal waste, two thirds of which comprises of household waste, is dumped as landflll all over the world. For efficient product lifecycle management via upgrade, maintenance, reuse, refurbishment, and reclamation of components etc., storage of product related information throughout its lifecycle is indispensable. Efficient use of information technology integrated with product design can enable products to manage them

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Riffelli, Stefano. "Sustainable comfort in indoor environments: global comfort indices and virtual sensors." Doctoral thesis, Urbino, 2022. http://hdl.handle.net/11576/2700929.

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MULK, MAISHA, and JONSSON AMANDA SKÄRBO. "Integrering av ekologiska aspekter vid produktutveckling av AI-baserade produkter." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279763.

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Under det senaste decenniet har artificiell intelligens fått allt större uppmärksamhet. Företag väljer att implementera system med kognitiva egenskaper för att kunna reglera energianvändning och därmed reducera det ekologiska fotavtrycket. Fyra stora internationella företag har intervjuats för att undersöka hur AI i produkter påverkar det ekologiska fotavtrycket och hur integreringen av ekologiska faktorer tas i beaktande under produktutvecklingsprocessen. Utöver intervjustudien har en kvalitativ litteraturstudie genomförts för att både belysa hur företag arbetar kring ämnet men också för att

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Bichraoui-Draper, Najet. "Computational sustainability assessment : agent-based models and agricultural industrial ecology." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0005/document.

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Cette thèse porte sur le développement d'une approche de modélisation destinée à quantifier la durabilité de systèmes industriels à partir de biomasse (considérés comme des systèmes complexes), et à fournir un outil d’aide à la décision qui permette, en modifiant certaines de leurs caractéristiques, de diminuer leurs impacts environnementaux.Elle s’appuie sur deux études de cas régionales : la première permet de tester l’hypothèse théorique pour évaluer les facteurs qui contribuent à l’adoption par les agriculteurs du « panic érigé » (switchgrass) dans l’Etat du Michigan (USA), et les effets a

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8

Chollet, Nicolas. "Embedded-AI-enabled semantic IoT platform for agroecology." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG078.

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L'agriculture moderne nécessite une profonde transformation pour répondre aux défis du développement durable tout en nourrissant qualitativement et quantitativement la population mondiale croissante. Dans cette optique, les agriculteurs adoptent le "Smart Farming" ou agriculture intelligente. C'est une méthode agricole qui utilise la technologie pour améliorer l'efficacité, la productivité et la durabilité de la production agricole. Elle englobe l'usage de capteurs, l'internet des objets (IoT), l'Intelligence Artificielle (IA), l'analyse de données, la robotique et divers autres outils numériq

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Narmack, Kirilll. "Dynamic Speed Adaptation for Curves using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233545.

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The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. This degree project provides a data driven solution for a speed adaptation system that can be used to compute a vehicle speed for curves, suitable for the underlying driving style of the driver, road properties and weather conditions. A speed adaptation system for curves aims to compute a vehicle speed suitable for curves that can be used in Advanced Driver Assistance Systems (ADAS) or in Autonomous Driving (AD) applications. This degree

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Politt, Clemens Carl Emil. "Introducing Artificial Intelligence into sustainable business models : development of an artifact to facilitate sustainable business model innovation." Master's thesis, 2020. http://hdl.handle.net/10400.14/31145.

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Through the rise of sustainable business models, social and environmental dimensions made their way into the renowned research field of business models and business model innovation. Thereby, sustainable business model patterns can support the challenging process of designing and innovating appropriate sustainable business models. While it seems to be a promising approach to employ artificial intelligence and machine learning for sustainable business model innovation, a generally acknowledged lack of corresponding support systems exists. Therefore, this study addresses the development of

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Spanaki, K., E. Karafili, Uthayasankar Sivarajah, S. Despoudi, and Zahir Irani. "Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations." 2020. http://hdl.handle.net/10454/17961.

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Yes<br>The Sustainable Development Goals (SDGs) present the emerging need to explore new ways of AgriFood production and food security as ultimate targets for feeding future generations. The study adopts a Design Science methodology and proposes Artificial Intelligence (AI) techniques as a solution to food security problems. Specifically, the proposed artefact presents the collective use of Agricultural Technology (AgriTech) drones inspired by the biomimetic ways of bird swarms. The design (artefact) appears here as a solution for supporting farming operations in inaccessible land, so as unman

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Carter, Steven James Bramley. "The sustainability assessment of projects : an artificial intelligence approach, with application to Tasmania." Thesis, 1999. https://eprints.utas.edu.au/19067/1/whole_CarterStevenJamesBramley1999_thesis.pdf.

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This thesis develops and presents a practical method of assessing the sustainability impact of projects. The research has been motivated by the fact that sustainability is an accepted goal of resource management and planning legislation, and yet we have few tools with which to quantitatively assess sustainability impacts. The history of the sustainability imperative is reviewed, and it is proposed that sustainability be considered in terms of three themes which match the way in which most planners think about sustainability issues, and commission specialist studies: 1. Biodiversity. Bio

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Müller, Christina Lisa. "Artificial Intelligence and its potential to reduce food waste in the Grocery Retail Industry." Master's thesis, 2019. http://hdl.handle.net/10400.14/31518.

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With one-third of globally produced food being lost or wasted, food waste poses one of the most pressing sustainability issues of our time. In the pursuit of reducing food waste, the retail sector is particularly important due to its strategic position as a gatekeeper to the food supply chain (FSC). Artificial Intelligence (AI), as the most prevalent technology of the Fourth Industrial Revolution, has gained increasing attention as an enabler for sustainable development. Yet, research linking AI and waste management has remained scarce. The dissertation, therefore, aims to investigate the pote

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Falcão, Filipa Coelho. "Disruptive technologies to help banks build a sustainable competitive advantage - customer and employee perception." Master's thesis, 2020. http://hdl.handle.net/10362/111540.

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Institutions are recovering from the financial crisis and show high resilience and liquidity levels to develop their own perspective of tendencies to explore. The current and most strong tendency is technology, a key driver of change a cross all banking dimensions. Banks investments in disruptive technologies impact both the customer experience and the financial labour market. In customer experience, traditional institutions are required to shift to a seamless, convenient and tailor-made user experience. Ultimately, the development of Artificial Intelligence empowers job creation and increased

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Maurício, João José de Melo Nunes e. Tita. "Disruptive technologies to help banks build a sustainable competitive advantage - learn from the past and industry 4.0 perspective." Master's thesis, 2020. http://hdl.handle.net/10362/114470.

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Fourth in dustrial revolution is a challenge, as well as, an opportunity for humanity to define the future in the medium and long term. Stakeholders must develop strategies to tackle the upcoming challenges, define income distribution and life in society. Previous revolutions can be used to better understand the effects of Industry 4.0. Forth coming changes are made possible by advanced technologies. Jobs have been digitalized and require more technological, cognitive and mental skills. Ultimately, it is important to realize the disruptive technologies’ potential in each industry to digest how

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Petukhov, Boris. "Operational scheduling with business modelling and genetic algorithms." Thesis, 2020. https://vuir.vu.edu.au/42038/.

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Development and maintenance of effective schedules is paramount to the overall success of project management. Scheduling in complex and large problem domains is resource consuming and challenging, and becomes especially difficult when project conditions often change within relatively short periods. This research contributes to knowledge in the program management area by putting forward a new approach that entails automation and optimisation of operational scheduling to enable organisations to run their workstreams in a controlled and predictable fashion to achieve the desired outcomes within e

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Alani, Adeshina Yahaha. "Short-term multiple forecasting of electric energy loads with weather profiles for sustainable demand planning in smart grids for smart homes." Diss., 2018. http://hdl.handle.net/10500/25216.

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Energy consumption in the form of fuel or electricity is ubiquitous globally. Among energy types, electricity is crucial to human life in terms of cooking, warming and cooling of shelters, powering of electronic devices as well as commercial and industrial operations. Therefore, effective prediction of future electricity consumption cannot be underestimated. Notably, repeated imbalance is noticed between the demand and supply of electricity, and this is affected by different weather profiles such as temperature, wind speed, dew point, humidity and pressure of the electricity consumption locati

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(10695907), Wo Jae Lee. "AI-DRIVEN PREDICTIVE WELLNESS OF MECHANICAL SYSTEMS: ASSESSMENT OF TECHNICAL, ENVIRONMENTAL, AND ECONOMIC PERFORMANCE." Thesis, 2021.

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<p>One way to reduce the lifecycle cost and environmental impact of a product in a circular economy is to extend its lifespan by either creating longer-lasting products or managing the <a>product properly during its use stage. Life extension of a product is envisioned to help better utilize </a>raw materials efficiently and slow the rate of resource depletion. In the case of manufacturing equipment (e.g., an electric motor on a machine tool), securing reliable service life as well as the life extension are important for consistent production and operational excellence in a factory. However, ma

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Singh, Ravinder. "Extracting Human Behaviour and Personality Traits from Social Media." Thesis, 2021. https://vuir.vu.edu.au/42639/.

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Online social media has evolved as an integral part of human society. It facilitates collaboration and information flow, and has emerged as a crucial instrument for business and government organizations alike. Online platforms are being used extensively for work, entertainment, collaboration and communication. These positive aspects are, however, overshadowed by their shortcomings. With the constant evolution and expansion of social media platforms, a significant shift has occurred in the way some humans interact with others. Online social media platforms have inadvertently emerged as networki

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20

Rasool, Raihan Ur. "CyberPulse: A Security Framework for Software-Defined Networks." Thesis, 2020. https://vuir.vu.edu.au/42172/.

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Software-Defined Networking (SDN) technology provides a new perspective in traditional network management by separating infrastructure plane from the control plane which facilitates a higher level of programmability and management. While centralized control provides lucrative benefits, the control channel becomes a bottleneck and home to numerous attacks. We conduct a detailed study and find that crossfire Link Flooding Attacks (LFA) are one of the most lethal attacks for SDN due to the utilization of low-rate traffic and persistent attacking nature. LFAs can be launched by the malicious adver

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Teng, Luyao. "Research on Joint Sparse Representation Learning Approaches." Thesis, 2019. https://vuir.vu.edu.au/40024/.

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Dimensionality reduction techniques such as feature extraction and feature selection are critical tools employed in artificial intelligence, machine learning and pattern recognitions tasks. Previous studies of dimensionality reduction have three common problems: 1) The conventional techniques are disturbed by noise data. In the context of determining useful features, the noises may have adverse effects on the result. Given that noises are inevitable, it is essential for dimensionality reduction techniques to be robust from noises. 2) The conventional techniques separate the graph learning syst

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Talpur, Anmoila. "Mining Tourist Behavior: A study of Tourist Sequential Activity Pattern through Location Based Social Networks." Thesis, 2019. https://vuir.vu.edu.au/40555/.

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Much of the current research in tourism has focused on tourists’ behavior analyses in order to help management constructing effective tourism policies and strategic planning to cater for a diverse range of tourists. Insight into tourist movement and activity patterns is deemed beneficial for the tourism sector in many ways, such as designing better travel packages for tourists, maximizing the tourist activity participation and meeting the tourist demands. Existing works in this field have only focused on finding tourists’ travel trajectories; however, they have not been able to provide compreh

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Du, Jiahua. "Advanced Review Helpfulness Modeling." Thesis, 2020. https://vuir.vu.edu.au/41279/.

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In recent years, online shopping has gained immense popularity due to its feedback mechanism. By composing online comments, previous buyers share opinions and expe-riences regarding the items that they have purchased. These user-generated reviews, in turn, provide valuable information to potential customers in regards to deciding which products to purchase. The reviews also help vendors understand customer needs and improve product quality. Yet despite these benefits, the unprecedentedly rapid growth of user-generated content has overwhelmed human ability in online review scrutiny. On-line rev

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Rangarajan, Sarathkumar. "QOS-aware Web service discovery, selection, composition and application." Thesis, 2020. https://vuir.vu.edu.au/42153/.

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Since the beginning of the 21st century, service-oriented architecture (SOA) has emerged as an advancement of distributed computing. SOA is a framework where software modules are developed using straightforward interfaces, and each module serves a specific array of functions. It delivers enterprise applications individually or integrated into a more significant composite Web services. However, SOA implementation faces several challenges, hindering its broader adaptation. This thesis aims to highlight three significant challenges in the implementation of SOA. The abundance of functionally simi

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Wang, Ye. "Robust Text Mining in Online Social Network Context." Thesis, 2018. https://vuir.vu.edu.au/38645/.

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Text mining is involved in a broad scope of applications in diverse domains that mainly, but not exclusively, serve political, commercial, medical and academic needs. Along with the rapid development of the Internet technology in recent thirty years and the advent of online social media and network in a decade, text data is obliged to entail features of online social data streams, for example, the explosive growth, the constantly changing content and the huge volume. As a result, text mining is no longer merely oriented to textual content itself, but requires consideration of surrounding

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Pandey, Dinesh. "Multidimensional medical image analysis with automatic segmentation techniques." Thesis, 2019. https://vuir.vu.edu.au/40059/.

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The advancement of medical imaging techniques such as fundus photography and breast magnetic resonance imaging (MRI) has shown tremendous improvement in the quality of multidimensional image produced. The image segmentation technology is used to partition the medical image into different regions for accurate identification and segregation of diseased area. Hence, the medical image is a vital entity to diagnose several pathological conditions. However, Multidimensional medical image analysis with automatic segmentation techniques these medical images have problems such as: 1. lack inhere

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Khan, Asim. "Automated Detection and Monitoring of Vegetation Through Deep Learning." Thesis, 2022. https://vuir.vu.edu.au/43941/.

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Healthy vegetation are essential not just for environmental sustainability but also for the development of sustainable and liveable cities. It is undeniable that human activities are altering the vegetation landscape, with harmful implications for the climate. As a result, autonomous detection, health evaluation, and continual monitoring of the plants are required to ensure environmental sustainability. This thesis presents research on autonomous vegetation management using recent advances in deep learning. Currently, most towns do not have a system in place for detection and continual vegeta

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Singh, Vidya Bhushan. "User Modeling and Optimization for Environmental Planning System Design." Thesis, 2014. http://hdl.handle.net/1805/6114.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Environmental planning is very cumbersome work for environmentalists, government agencies like USDA and NRCS, and farmers. There are a number of conflicts and issues involved in such a decision making process. This research is based on the work to provide a common platform for environmental planning called WRESTORE (Watershed Restoration using Spatio-Temporal Optimization of Resources). We have designed a system that can be used to provide the best management practices for environmental planning. A distributed system was designed to

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