Relevant bibliographies by topics / Generative approach

Contents

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

Academic literature on the topic 'Generative approach'

Author: Grafiati
Published: 2 November 2022
Last updated: 31 July 2025

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Journal articles on the topic "Generative approach"

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Sobirovich, Sukhrob Avezov. "A PRAGMATICALLY ORIENTED APPROACH TO GENERATIVE LINGUISTICS." Current Research Journal of Philological Sciences 5, no. 4 (2024): 69–75. http://dx.doi.org/10.37547/philological-crjps-05-04-12.

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The annotated paper examines the possibility of creating an original grammatical system when teaching a new language. The pragmatic approach to generative linguistics was the methodology of language acquisition using a unified model of the Russian sentence. The article discusses algorithms of sentence modelling at two levels: external and internal, based on the theories of N.Chomsky and L.Teniers. The external level includes the construction of a unified sentence structure from the deep structure to the surface structure according to N.Chomsky. And the internal level includes the structural co
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Victor Parque, Masakazu Kobayashi, and Masatake Higashi. "3105 A Generative Approach to Wire Harness Design." Proceedings of Design & Systems Conference 2013.23 (2013): _3105–1_—_3105–2_. http://dx.doi.org/10.1299/jsmedsd.2013.23._3105-1_.

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Wong, Alexander, Mohammad Javad Shafiee, Brendan Chwyl, and Francis Li. "GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks." Electronics Letters 55, no. 18 (2019): 986–89. http://dx.doi.org/10.1049/el.2019.1719.

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Yang, Chi Bok, and Yang Sok Kim. "Implementation of Retrieval Augmented Generation (RAG) Model Using LLM: A RapidMiner-Based Approach." Korean Institute of Smart Media 14, no. 2 (2025): 34–42. https://doi.org/10.30693/smj.2025.14.2.34.

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Generative AI technology, driven by Large Language Models (LLMs), is being increasingly utilized to overcome existing limitations. Retrieval-Augmented Generation (RAG) has emerged as an effective approach to reduce hallucination in LLMs by leveraging up-to-date and domain-specific knowledge beyond training data. However, most studies propose programming-based implementations. This research introduces a GUI-based RAG framework using RapidMiner, to construct RAG systems without programming proficiency. The methodology includes storing and retrieving embeddings with the Qdrant vector database and
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Sinha, Himanshu. "The Identification of Network Intrusions with Generative Artificial Intelligence Approach for Cybersecurity." Journal of Web Applications and Cyber Security 2, no. 2 (2024): 20–29. http://dx.doi.org/10.48001/jowacs.2024.2220-29.

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Generative Artificial Intelligence (Generative AI) offers a paradigm shift to the way robots perceive and interact with data. Generative AI approaches aim to produce new data samples that closely match the original dataset, in contrast to standard AI models that concentrate on tasks such as categorisation or prediction. This ability has broad implications for a variety of fields, including network security. New generation of network intrusion defense brought forth by Generative AI is revolution using the area of network security. In this work, investigates the revolutionary potential of Genera
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Thorp, H. Holden. "Generative approach to research integrity." Science 381, no. 6658 (2023): 587. http://dx.doi.org/10.1126/science.adk1852.

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It’s been a bad few weeks for public perceptions of research integrity, as multiple cases at elite universities have received wide news coverage. Francesca Gino, a scientist at Harvard University, is in a legal dispute over whether data in newly retracted papers about dishonesty were manipulated; she is now suing Harvard and the researchers who surfaced the alleged problems. Likewise, Duke University is investigating published work by scientist Daniel Ariely. Johns Hopkins University may initiate an investigation of research misconduct by Nobel laureate Gregg Semenza. And most prominently, the
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Kumar Jana, Aryyama, Srija Saha, and Arnab Dey. "DyGAISP: Generative AI-Powered Approach for Intelligent Software Lifecycle Planning." International Journal of Science and Research (IJSR) 13, no. 5 (2024): 1275–82. http://dx.doi.org/10.21275/sr24520092232.

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Yüksel, Nurullah, and Hüseyin Rıza Börklü. "A Generative Deep Learning Approach for Improving the Mechanical Performance of Structural Components." Applied Sciences 14, no. 9 (2024): 3564. http://dx.doi.org/10.3390/app14093564.

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This study aimed to improve the mechanical properties of 3D concept designs by combining the design capability of a generative adversarial network with finite element analysis. This approach offers an innovative perspective on the conditioning of generative models while improving design properties and automation. A new design and evaluation framework has been developed for GAN models to generate 3D models with improved mechanical properties. The framework is an iterative process that includes dataset generation, GAN training, and finite element analysis. A “joint” component used in the aerospa
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Regol, Florence, and Mark Coates. "Diffusing Gaussian Mixtures for Generating Categorical Data." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9570–78. http://dx.doi.org/10.1609/aaai.v37i8.26145.

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Learning a categorical distribution comes with its own set of challenges. A successful approach taken by state-of-the-art works is to cast the problem in a continuous domain to take advantage of the impressive performance of the generative models for continuous data. Amongst them are the recently emerging diffusion probabilistic models, which have the observed advantage of generating high-quality samples. Recent advances for categorical generative models have focused on log likelihood improvements. In this work, we propose a generative model for categorical data based on diffusion models with
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Wang, Yunpeng, Meng Pang, Shengbo Chen, and Hong Rao. "Consistency-GAN: Training GANs with Consistency Model." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (2024): 15743–51. http://dx.doi.org/10.1609/aaai.v38i14.29503.

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For generative learning tasks, there are three crucial criteria for generating samples from the models: quality, coverage/diversity, and sampling speed. Among the existing generative models, Generative adversarial networks (GANs) and diffusion models demonstrate outstanding quality performance while suffering from notable limitations. GANs can generate high-quality results and enable fast sampling, their drawbacks, however, lie in the limited diversity of the generated samples. On the other hand, diffusion models excel at generating high-quality results with a commendable diversity. Yet, its i
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Dissertations / Theses on the topic "Generative approach"

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Llinàs, i. Grau Mireia. "Verbal Sequences: A Generative Approach." Doctoral thesis, Universitat Autònoma de Barcelona, 1990. http://hdl.handle.net/10803/4916.

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Aquesta tesi vol proporcionar una explicació a un constrast sintàctic entre l'anglès, el català i l'espanyol tot assumint propostes teòriques específiques del marc generativista dins del model de la Recció i el Lligam. <br/>Aquestes llengües construeixen les seves seqüències verbals amb auxiliars i verbs lèxics, com es veu als exemples següents: <br/>(1) La Maria ha ballat a la festa<br/>(2) María ha bailado en la fiesta<br/>(3) Mary has danced at the party<br/>No obstant, quan s'introdueixen altres elements a les oracions, el comportament de l'auxiliar i el verb lèxic contrasta entre l'a
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Malik, Aamina Karim. "Mass Customization! An approach through Generative Design." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3467.

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Abstract Historically, design has been associated with unique, handmade products and utilities; however, the advent of the Industrial Revolution introduced the system of mass-production, which generated a recurrent and ambivalent problem: the lack of customized products. Generative Design redresses this issue. This new design method is based on a system of rules, which produce a design that maintains individuality and character. Generative Design takes one away from natural elements and the distinct personalities of designs and products. Forming a design out of certain algorithms and sets of r
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Edakkattil, Gopinath Deepak. "Enhancing stroke generation and expressivity in robotic drummers - A generative physics model approach." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53617.

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The goal of this master's thesis research is to enhance the stroke generation capabilities and musical expressivity in robotic drummers. The approach adopted is to understand the physics of human fingers-drumstick-drumhead interaction and try to replicate the same behavior in a robotic drumming system with the minimum number of degrees of freedom. The model that is developed is agnostic to the exact specifications of the robotic drummer that will attempt to emulate human like drum strokes, and therefore can be used in any robotic drummer that uses actuators with complete control over the motor
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Fasoulaki, Eleftheria. "Integrated design : a generative multi-performative design approach." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43750.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>MIT Institute Archives copy: with CD-ROM; divisional library copy with no CD-ROM.<br>Includes bibliographical references (leaves 70-72).<br>There are building systems, called "modularized", in which the component systems (for structure, lighting, etc) can be analyzed and synthesized independently since their performance and design do not interact or affect one a
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Estérie, Pierre. "Multi-Architectural Support : A Generic and Generative Approach." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112124/document.

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Le besoin constant de puissance de calcul a poussé les développeurs à concevoir de nouvelles architectures: les architectures parallèles. Le calcul scientifique dépend fortement des performances de ces dernières afin de fournir des résultats dans un temps optimal. Les applications scientifiques exécutées sur de tels systèmes doivent alors tirer partie des spécificités de ces nouvelles architectures pour être efficaces.Cette thèse présente une nouvelle approche pour la conception de logiciels embarquant des optimisations relatives aux architectures : l'approche AADEMRAL (Architecture Aware DEMR
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Li, Haibing [Verfasser]. "Generative Design Approach for Robust Solution Development / Haibing Li." Garbsen : TEWISS - Technik und Wissen GmbH, 2020. https://www.tewiss-verlag.de/.

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Loughran, Neil Anthony. "Framed aspects-A generative variability approach for aspect-oriented programming." Thesis, Lancaster University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536014.

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Rinnarv, Jonathan. "GANChat : A Generative Adversarial Network approach for chat bot learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

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Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and shown potential in other generative machine learning tasks as well. GAN training is an adversarial training method where two neural networks compete and attempt to outperform each other, and in the process they both learn. In this thesis the effectiveness of GAN training is tested on conversational agents also called chat bots. To test this, current state-of-the-art training methods such as Maximum Likelihood Estimation (MLE) model
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Johnson, Brittney E. "Inferring final plans : expanding on a generative and logic-based approach." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113141.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 91-93).<br>When humans work together to form a plan, they often make mistakes: they misspeak, say things out of order, and negate things they had previously said. We aim to read human team planning conversations and extract
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Graaff, Johann. "In search of the generative question : a hermeneutic approach to pedagogy." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/8060.

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This dissertation investigates, first, the kinds of transformation that have occurred in the perceptions and identities of a first year sociology class at the University of Cape Town (UCT), and, second, the learning experiences that have led to, or been associated with, those changes. It does that through Hans-Georg Gadamer's hermeneutics. On the first issue, Gadamer proposes that the social sciences brings individuals to a meeting with the alien, and that this meeting effects a transformation of the self. This means both (following Jardine) to 'return life to its original difficulty', and (fo
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Books on the topic "Generative approach"

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Sadler, Louisa. Welsh syntax: A government-binding approach. Croom Helm, 1988.

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Syeed, Sayyid M. Morphological causitives and the problems of the transformational approach. Indiana University Linguistics Club, 1985.

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Nesset, Tore. Russian conjugation revisited: A cognitive approach to aspects of Russian verb inflection. Novus, 1998.

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Voeĭkova, M. D. Russian existential sentences: A functional approach. LINCOM Europa, 2000.

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C, Klein Elaine, Martohardjono Gita 1956-, and GASLA95 (1995 : City University of New York), eds. The development of second language grammars: A generative approach. J. Benjamins, 1999.

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Pentland, Brian T. Process grammars: A generative approach to process redesign. Center for Coordination Science, Sloan School of Management, Massachusetts Institute of Technology], 1994.

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Stichel, Eliane van. A generative approach to the phonological comparison of Dutch and Spanish. Senda Nueva de Ediciones, 1990.

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Tizón-Couto, David. Left dislocation in English: A functional-discoursal approach. Peter Lang, 2012.

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Sadler, Louisa. Welsh syntax: A government-binding approach. Croom Helm, 1988.

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Lager, Torbjörn. A logical approach to computational corpus linguistics. Department of Linguistics, Göteborg University, 1995.

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Book chapters on the topic "Generative approach"

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Zhu, Qihao, and Jianxi Luo. "Generative Design Ideation: A Natural Language Generation Approach." In Design Computing and Cognition’22. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20418-0_3.

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Chen, Zhiru, Zhi Zhang, Xi Zhao, and Liang Guo. "Generative Adversarial Network Based Status Generation Simulation Approach." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5940-9_19.

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Cechticky, Vaclav, Philippe Chevalley, Alessandro Pasetti, and Walter Schaufelberger. "A Generative Approach to Framework Instantiation." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39815-8_17.

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Smith, Douglas R. "A Generative Approach to Aspect-Oriented Programming." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30175-2_3.

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Hohenstein, Uwe, and Volkmar Plesser. "A generative approach to database federation." In Conceptual Modeling — ER '97. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63699-4_34.

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Turner, Alasdair, Chiron Mottram, and Alan Penn. "An Ecological Approach to Generative Design." In Design Computing and Cognition ’04. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2393-4_14.

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Kladovasilakis, Nikolaos, Konstantinos Tsongas, and Dimitrios Tzetzis. "Element-Based Approach and Generative Design." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77700-4_2.

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Consel, Charles, Hedi Hamdi, Laurent Réveillère, Lenin Singaravelu, Haiyan Yu, and Calton Pu. "Spidle: A DSL Approach to Specifying Streaming Applications." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39815-8_1.

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Gray, Jeff, Ted Bapty, Sandeep Neema, Douglas C. Schmidt, Aniruddha Gokhale, and Balachandran Natarajan. "An Approach for Supporting Aspect-Oriented Domain Modeling." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39815-8_10.

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Consel, Charles, Fabien Latry, Laurent Réveillère, and Pierre Cointe. "A Generative Programming Approach to Developing DSL Compilers." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11561347_4.

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Conference papers on the topic "Generative approach"

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Shelar, Swati M., and Yuvraj V. Parkale. "Generative Point Clouds: A Novel Approach for 3D Data Generation." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882285.

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Yin, Shanzhi, Zihan Zhang, Bolin Chen, Shiqi Wang, and Yan Ye. "Compressing Scene Dynamics: A Generative Approach." In 2025 Data Compression Conference (DCC). IEEE, 2025. https://doi.org/10.1109/dcc62719.2025.00101.

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Kodali, Ravi Kishore, Yatendra Prasad Upreti, and Lakshmi Boppana. "A Novel Approach to Generative AI Translation." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902899.

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Chen, Andre, and Sieu Tran. "Supercharging Document Composition with Generative AI: A Secure, Custom Retrieval-Augmented Generation Approach." In 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, 2024. http://dx.doi.org/10.1109/sds60720.2024.00025.

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Caron, Mathilde, Ahmet Iscen, Alireza Fathi, and Cordelia Schmid. "A Generative Approach for Wikipedia-Scale Visual Entity Recognition." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01639.

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Mhatre, Madhura, Ananya Pandey, Harsh Rane, and Sunita Sahu. "A Novel Approach for Creating Flowcharts using Generative AI." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT). IEEE, 2024. http://dx.doi.org/10.1109/apcit62007.2024.10673464.

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Jeniffer, S. Benil, D. Sathya, Yogeshwari R, Sukesh G, and Dhivish Kumar S R. "Generative Art: A DC-GAN Approach for Visualizing Descriptions." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933164.

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Jebraeeli, Vahid, Bo Jiang, Hamid Krim, and Derya Cansever. "Generative Expansion of Small Datasets: An Expansive Graph Approach." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887596.

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Lee, HyeokSoo, Minyeol Yang, and Jongpil Jeong. "A Novel Approach to Generative AI-based Optimized Code Generation for Semiconductor Equipment Interfaces." In 2025 27th International Conference on Advanced Communications Technology (ICACT). IEEE, 2025. https://doi.org/10.23919/icact63878.2025.10936654.

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Xu, Ming, ZhiSheng Xin, and YiChun Tan. "A generative approach to image generation of Yao Long Drums based on Cultural Gene analysis." In 2024 International Conference on Culture-Oriented Science & Technology (CoST). IEEE, 2024. http://dx.doi.org/10.1109/cost64302.2024.00037.

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Reports on the topic "Generative approach"

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Minis, Ioannis, Jeffrey W. Herrmann, and Giang Lam. A Generative Approach for Design Evaluation and Partner Selection for Agile Manufacturing. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada452746.

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Sadoune, Igor, Marcelin Joanis, and Andrea Lodi. Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. CIRANO, 2023. http://dx.doi.org/10.54932/lqog8430.

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We present a deep learning solution to address the challenges of simulating realistic synthetic first-price sealed-bid auction data. The complexities encountered in this type of auction data include high-cardinality discrete feature spaces and a multilevel structure arising from multiple bids associated with a single auction instance. Our methodology combines deep generative modeling (DGM) with an artificial learner that predicts the conditional bid distribution based on auction characteristics, contributing to advancements in simulation-based research. This approach lays the groundwork for cr
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McKee, Philip, and Jeffrey Lloyd. A Generative Adversarial Network Approach with a Random Patch Discriminator to Generate 3D Synthetic Microstructures Containing Second Phase Particles. DEVCOM Army Research Laboratory, 2023. http://dx.doi.org/10.21236/ad1207921.

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Pinchuk, Olga. Instructional and Methodological Guidelines on the Implementation and Use of Artificial Intelligence Technologies in Secondary Schools. Institute for Digitalisation of Education of the NAES of Ukraіne, 2024. https://doi.org/10.33407/lib.naes.id/eprint/742889.

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Instructional and Methodological Guidelines on the Implementation and Use of Artificial Intelligence Technologies in Secondary Schools - recommendations that, as of 2024, determine the approach to the responsible, ethical and effective use of generative artificial intelligence tools in general secondary education institutions.
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Pasupuleti, Murali Krishna. Sustainable and Affordable Global Housing via AI and Advanced Materials. National Education Services, 2025. https://doi.org/10.62311/nesx/rr425.

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Abstract: The global housing crisis demands innovative solutions that balance affordability, sustainability, and technological advancement. This research report explores the transformative role of Artificial Intelligence (AI) and advanced materials in addressing housing shortages, reducing environmental impact, and improving construction efficiency. AI-driven generative design, smart automation, and predictive analytics optimize resource allocation and enhance structural safety, while advanced materials such as 3D-printed composites, self-healing concrete, aerogels, and bio-based materials rev
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de Abreu, Jonas, and Mariana Cunha e Melo. Extending Pix: An approach to offline Dynamic QR Code generation. Center for Technology and Public Interest, SL, 2023. http://dx.doi.org/10.59262/9qu6ex.

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The Pix Dynamic QR Code URI can be extended to allow for offline QR Code generation. The proposed solution involves generating URIs that can be used as a vehicle to transmit information from the client to the server, allowing the payee to generate their own URIs. The document also goes into detail about URI properties, encoding, and cryptography. The proposed design balances tradeoffs between the amount of data that can be transmitted and cryptographic guarantees, and uses commonly available cryptographic primitives to reduce implementation costs.
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Schell, Laurie. Introduction to Case-making and Systems Change in Arts & Cultural Education. Creative Generation, 2022. http://dx.doi.org/10.51163/creative-gen009.

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Introduction to Case-making and Systems Change in Arts &amp; Cultural Education is an overview of a collaborative project between Creative Generation and ElevateArtsEd undertaken to better understand how practitioners - such as artists, educators, community leaders, and more - can make the case for and also advocate through arts and culture to drive systemic change and address complex challenges. The project seeks to expand the knowledge base of case-making and systems change in the field of arts and cultural education and provide resources to support effective actions for practitioners and yo
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Singh, Ranjit, Borhane Blili-Hamelin, Carol Anderson, et al. Red-Teaming in the Public Interest. Data & Society Research Institute, 2025. https://doi.org/10.69985/vvgp4368.

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The increasing power and availability of generative AI (genAI) systems has led regulators, technologists, and members of the public to call for new safety practices to anticipate harms and protect the public interest. One early and promising approach, drawing from cybersecurity and military practices, is red-teaming, in which designated teams use adversarial methods to identify vulnerabilities in systems. Drawing on 26 semi-structured interviews and participant observation at three public red-teaming events - and based on a collaborative research project between Data &amp; Society and AI Risk
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Tang, H. Generative network-based approaches to generate stochastic realizations. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2341957.

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Ennasr, Osama, Charles Ellison, Anton Netchaev, Ahmet Soylemezoglu, and Garry Glaspell. Unmanned ground vehicle (UGV) path planning in 2.5D and 3D. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47459.

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Herein, we explored path planning in 2.5D and 3D for unmanned ground vehicle (UGV) applications. For real-time 2.5D navigation, we investigated generating 2.5D occupancy grids using either elevation or traversability to determine path costs. Compared to elevation, traversability, which used a layered approach generated from surface normals, was more robust for the tested environments. A layered approached was also used for 3D path planning. While it was possible to use the 3D approach in real time, the time required to generate 3D meshes meant that the only way to effectively path plan was to
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