Relevant bibliographies by topics / Traditional AI

Contents

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

Academic literature on the topic 'Traditional AI'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Traditional AI"

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AL-HUSSAYEN, MOHAMMAD. "The Traditional Urban Pattern of AI-Madinah AI-Munawarah." Journal of King Abdulaziz University-Engineering Sciences 10, no. 1 (1998): 3–50. http://dx.doi.org/10.4197/eng.10-1.11.

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Tan, Yayu. "Inheritance and Redesign of Traditional Spiritual Ceremonies." Arts Studies and Criticism 5, no. 5 (2024): 340. https://doi.org/10.32629/asc.v5i5.3081.

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This paper aims to explore potential and challenges of artificial intelligence (AI) technology in spiritual practices by combining it with ancient Chinese divination text, I Ching. First, by using the four key phenomenological concepts of intentionality, lifeworld, phenomenological suspension of judgment and reduction, and phenomenological reflection, this paper systematically analyzes how AI technology affects users' experiences and understanding in spiritual practices. Second, this paper delves into the role of AI in cross-cultural design, by combining modern technology with traditional cult
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Sindayigaya, Jean. "Comparative Study of Quantum- -Enhanced AI and Traditional AI in Cybersecurity." ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA 1, no. 2 (2025): 18–22. https://doi.org/10.15199/13.2025.2.3.

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Vegesna, Rohith. "AI Query Protocol (AIQP) : AI-Powered Search Engine, Eliminating Traditional Crawling." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41538.

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Search engines currently function by carrying out web crawling followed by indexing and ranking the retrieved websites for information retrieval purposes. Window search engines create inefficient operations and expensive maintenance requirements because they allow outdated information and Search Engine Optimization manipulations. This article presents AI Query Protocol (AIQP) as a standardized communication framework which provides real-time exchanges between search engines and website AI assistants. Website AI agents receive structured questions from search engines which yield instant verifie
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B, Raghava, and A. Arun V. "Traditional to Convenience Banking: Artificial Intelligence a Catalyst." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 38–41. https://doi.org/10.5281/zenodo.1403571.

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Then the computers and now the artificial intelligence is the present day replacement  to the human brains. Artificial Intelligence in contrast to the natural intelligence is going to rule the world in the near future. AI and artificial beings are no more seen as fiction characters. In almost all circumstances they mimic the human minds and provide possible solutions in almost all the dimensions of the business. A majority of the decision makers either completely depend on AI or partially at least for taking a decision and this clearly shows that AI is something invariable which humans re
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Gjorgjieski, Vladimir. "Art Redefined: AI's Influence on Traditional Artistic Expression." International Journal of Art and Design 1, no. 1 (2024): 49–60. http://dx.doi.org/10.69648/swww7235.

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In this article, we embark on a journey exploring the impact of Artificial Intelligence (AI) on various art forms such as painting, sculpture, photography, and illustration. The beginning of this document serves as a brief overview, covering the historical evolution of AI in the art world and discussing theories at the intersection of AI and traditional artistic practices. It also provides a thorough examination of case studies, showcasing artists, who have integrated AI techniques into their usual mediums. The investigation closely looks at the use of AI and discerns differences in approaches
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Fotova Čiković, Katerina, Antonija Mandić, and Maja Hoić. "Artificial Intelligence vs. Traditional Research Methods." Tehnički glasnik 19, no. 1 (2025): 88–93. https://doi.org/10.31803/tg-20241113001849.

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Due to the emergence and increased development of Artificial Intelligence (AI), research in general has been significantly impacted, particularly in the field of scientific theories and models. The purpose of this study is to analyze the acceptance of both AI tools and traditional methodologies used in research. Moreover, conclusions about the respondents' perception and openness to using AI tools in research regarding gender, age and current academic position are discussed. Another goal is to compare the level of satisfaction from both the AI tools and the traditional research methods. A ques
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Matthews, Justin. "From Traditional to Transformed." Pacific Journal of Technology Enhanced Learning 6, no. 1 (2024): 8–9. http://dx.doi.org/10.24135/pjtel.v6i1.180.

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In a transformative educational landscape, this research pioneers a novel method that leverages AI to transform traditional classroom lectures into interconnected learning units. This innovative approach revolutionises lecture consumption by reimagining it as a network of knowledge, fostering a more engaged and participatory learning experience amongst students. By recording lectures, automatically transcribing them, and then using Artificial Intelligence to restructure the content into accessible “interactive content cards”, it heralds a new era in education, breaking the constraints of time,
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Lai, Yuanzhe. "The Dilemma and Coping with the Inheritance of Traditional Culture Enabled by Artificial Intelligence A Case Study of Chinese Traditional Culture." Lecture Notes in Education Psychology and Public Media 30, no. 1 (2023): 52–57. http://dx.doi.org/10.54254/2753-7048/30/20231580.

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With the continuous change in human civilization triggered by the rapid development of technology, it is worth considering the role of AI in the inheritance of traditional culture. This essay primarily investigates the impact of AI technology on traditional culture and applies Chinese culture as a case study. Through introducing the prevalence of artificial intelligence, demonstrating the functions of AI in the spread of traditional culture, and analyzing the pros and cons brought by AI, this essay utilizes both quantitative and qualitative analysis to reveal the overall influence of AI in the
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Temelkov, Zoran, and Vesna Georieva Svrtinov. "AI impact on traditional credit scoring models." Journal of Economics 9, no. 1 (2024): 1–9. http://dx.doi.org/10.46763/joe249101t.

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Dissertations / Theses on the topic "Traditional AI"

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Elbegzaya, Temuulen <1991&gt. "Application AI in Traditional Supply Chain Management Decision-Making." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17733.

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In the generation of demand uncertainty and complex market, the ability to fully integrate and orchestrate the entire supply chain spectrum of end-to-end processes from acquiring materials to converting, to delivery to final customers is highly desired by many organizations. While data sourcing, managing and manipulating are becoming one of the core advantages in the businesses, a number of leading-edge organizations have been studying and exploring the limits of machine learning and artificial intelligence (AI) to enrich excellence. The common usage of AI is being referr toed in extensive com
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Johansson, Jennifer, and Senja Herranen. "The application of Artificial Intelligence (AI) in Human Resource Management: Current state of AI and its impact on the traditional recruitment process." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44323.

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Background: The world is constantly becoming more prone to technology due to globalization which implies organizations have to stay up to date in order to be competitive. Human Resource Management (HRM) is more important than ever, especially with a focus on the recruitment of new employees which will bring skills and knowledge to an organization. With technological advances also comes the opportunity to streamline activities that previously have had to be carried out by humans. Therefore, it is of the highest importance to consider and evaluate the impact technology might have on the area of
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Lisa, Aysha Khatun, and Simo Valerie Rostan Talla. "An in-depth study on the stages of AI in recruitment process of HRM and attitudes of recruiters and recruitees towards AI in Sweden." Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184521.

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With the constant technological changes globally, organizations are now at the forefront of changing their business processes to be more competitive. These technological developments have brought in several shifts within business processes. Human resource management (HRM) has been dramatically affected by such changes more than ever, especially the recruitment process. As such, there is rising concern to shift from a traditional to an AI recruitment process. The adoption of AI in the recruitment process has remained relatively unexplored, especially within Swedish organizations. Despite its gr
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Memik, Hayal N. "An Evaluation Of The Changing Approaches To Children&#039." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604764/index.pdf.

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In the nineteenth century, specialization and segregation of land uses necessitated to identify formal spaces for child&rsquo<br>s play activity in the cities. In the late nineteenth century, &lsquo<br>&lsquo<br>traditional playgrounds&rsquo<br>&rsquo<br>were provided for children. However, formally designed, spatially segregated play space brought its own problems itself. Rapid changes in the urban pattern and dominance of cars in the urban environment restricted the safe accessibility of children to such play spaces by themselves. Also, &lsquo<br>&lsquo<br>traditional playground&rsquo<br>&rs
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Goldstein, ép Lejuste Déborah. "La transformation numérique des TPE/PME traditionnelles comme catalyseur du développement économique territorial : enjeux et impacts socio- économiques." Electronic Thesis or Diss., Limoges, 2024. http://www.theses.fr/2024LIMO0023.

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La révolution induite par la transformation numérique des très petites entreprises (TPE) et des petites et moyennes entreprises (PME) est sans précédent, impulsée par l'émergence rapide des technologies numériques. Cette mutation dépasse largement la simple modernisation des outils ; elle engendre un changement profond dans la manière dont ces entreprises interagissent avec leur environnement économique et social. Cette thèse soutient que cette transformation constitue un processus stratégique intégrant de manière exhaustive et novatrice les technologies digitales dans tous les aspects d'une o
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Edwards, Shane. "Titiro whakamuri kia marama ai te wao nei : whakapapa epistemologies and Maniapoto Maori cultural identities : a thesis submitted in fulfilment of the requirements of the degree of Doctor of Philosophy, Massey University." Massey University, 2009. http://hdl.handle.net/10179/1252.

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The work I have presented here pulls together Maori epistemologies as evidenced in the whakapapa knowledge particularly of Ngati Maniapoto to see if and where connection lies with understandings of Maori cultural wellbeing. Whakapapa knowledge is the unbounded collection of theory, observation and experience as seen through Maori eyes. It is intricately connected by whakapapa, a tool for working with and extrapolating understanding and is the common thread that binds hapu, whanau and iwi (O’Regan, 2001). The aim is to investigate contemporary Maori realities with a strong interest in these tra
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Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr
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Wang, Mei-Hsueh, and 王美雪. "A Study on Color Paintings for Traditional Houses during the Japanese Colonial Period－Cases done by Huang Ai and his Apprentices at Madou, Tainan County." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/80845952866302524752.

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碩士<br>國立成功大學<br>建築學系碩博士班<br>93<br>Among the various schools of color painting in Southern Taiwan, there existed a schools succeeded from Huang Ai, the color painter born in Madou , Tainan County. Coming from the regional outskirts of this particular art form, it consists no less significance than the two major schools of Master Pan’s and Master Chen’s from Tainan City. The contribution of its art works is considered to form another rich chapter for the art of color painting for traditional houses. 　　This thesis focuses on a study of color paintings for traditional houses done by Master Huan
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Pinheiro, Ana Raquel Rufino da Conceição. "Kang Ai Ling: Estudos físico-químicos e in vitro em linhas celulares do cancro da próstata - Impacto Forense." Master's thesis, 2017. http://hdl.handle.net/10316/82885.

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Dissertação de Mestrado em Química Forense apresentada à Faculdade de Ciências e Tecnologia<br>O interesse na medicina tradicional chinesa (MTC) tem vindo a crescer a nível mundial nos últimos anos. Este interesse crescente fez com que os seus produtos passassem a ter uma maior procura e consumo. Uma das áreas mais conhecidas da MTC é a fitoterapia. Os seus produtos são feitos maioritariamente à base de plantas e têm como finalidade primária o tratamento e prevenção de doenças.Este tipo de produtos tem estado a ser comercializado como suplementos alimentares e não como medicamentos à base de p
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Santos, Andreia Cristina Diogo. "ASPECTOS FORENSES DO USO DE FÁRMACOS COMO SUPLEMENTOS ALIMENTARES NO TRATAMENTO DO CANCRO DA MAMA - Caso da Fórmula de Medicina Tradicional Chinesa Kang Ai Ling." Master's thesis, 2017. http://hdl.handle.net/10316/83241.

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Dissertação de Mestrado em Química Forense apresentada à Faculdade de Ciências e Tecnologia<br>O aumento da popularidade das terapias não convencionais faz delas, na atualidade, um problema a considerar em termos de saúde pública e ciências forenses. Entre elas encontra-se a Medicina Tradicional Chinesa que tem sido praticada ao longo de milhares de anos na China e que vai começando a estar representada em Portugal. Afirma tratar a causa da doença em vez de aliviar os seus sintomas. No entanto, com base na crença de que a MTC é natural, segura e de baixo custo, consumidores de todo o mundo têm
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Books on the topic "Traditional AI"

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Bing-shan, Huang, Fu Di, and Flaws Bob 1946-, eds. AIDS and its treatment by traditional Chinese medicine =: [Chung i chih liao ai tzu ping]. Blue Poppy Press, 1991.

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Poot, Matthijs, and Daniel Samaan. Rethinking production processes with AI and avoiding the innovator’s dilemma. ILO, 2024. http://dx.doi.org/10.54394/blss4423.

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This brief explores the challenges traditional companies face in fully harnessing the transformative potential of Artificial Intelligence (AI). Drawing parallels with historical shifts like the assembly line, the brief argues that AI adoption requires a holistic rethinking of work processes rather than incremental improvements. It highlights the multi-modal capabilities of Generative AI (GenAI) and underscores the need for further research to better understand its impact on productivity and business operations.
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Noriko, Hirai, and Sasakura Genshō, eds. Tsutsugaki: Ai no ka = Tsutsugaki textiles of Japan : traditional freehand paste resist indigo dyeing technique of auspicious motifs. Shikōsha, 1987.

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Zhang, Qingcai. AIDS and Chinese medicine =: [Ai tzu ping chih Han fang chen liao] : applications of the oldest medicine to the newest disease. Oriental Healing Arts Institute, 1990.

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Gomez Tamayo, Sofia, and Andrea Petrelli. Work transformed. ILO, 2025. https://doi.org/10.54394/pjst2835.

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This brief synthesizes the current global research conducted by the International Labour Organisation (ILO), along with other prominent institutions and scholars, on the effects of Artificial Intelligence (AI) on employment and job opportunities worldwide. It highlights the primary challenges and potential prospects associated with AI's integration into the workforce. The brief is structured around three main points: first, it explores the significant opportunities and risks that AI may present for employment, including potential job creation in new sectors and the risk of job displacement in
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World Library and Information Congress (75th : 2009 : Milan, Italy), ed. Babele Bibbia e Corano: Dal testo al contesto : dalle culture ai libri di culto, funzioni moderne delle biblioteche nelle tradizioni religiose delle civiltà del Mediterraneo = Babel Bible and Kor'an : from texts to contexts : from cultures to Sacred Books : modern funcions of libraries in the religious traditions of Mediterranean civilizations : Milano, Biblioteca Ambrosiana, Sala Accademie, August 24th, 2009. [s. n.], 2010.

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Nguyen, Tien V. T., and Nhut T. M. Vo. Using Traditional Design Methods to Enhance AI-Driven Decision Making. IGI Global, 2024.

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Loving Wife ('Ai qi', in traditional Chinese, NOT in English). Hong Fan, 1986.

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Nguyen, Tien V. T., and Nhut T. M. Vo. Using Traditional Design Methods to Enhance AI-Driven Decision Making. IGI Global, 2024.

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Nguyen, Tien V. T., and Nhut T. M. Vo. Using Traditional Design Methods to Enhance AI-Driven Decision Making. IGI Global, 2024.

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Book chapters on the topic "Traditional AI"

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Aggarwal, Rishika, Shachi Sachan, Rajat Verma, and Namrata Dhanda. "Traditional AI vs Modern AI." In The Confluence of Cryptography, Blockchain and Artificial Intelligence. CRC Press, 2025. https://doi.org/10.1201/9781032711515-3.

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Khan, Arshad. "Traditional Goals of AI Research." In Artificial Intelligence: A Guide for Everyone. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56713-1_11.

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Zhang, Yuhai, Naye Ji, Xinle Zhu, and Youbing Zhao. "Inheritance and Revitalization: Exploring the Synergy Between AIGC Technologies and Chinese Traditional Culture." In AI-generated Content. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7587-7_3.

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Munetsi, Dennis. "Prefiguring Afro-Centric and Inclusive AI Digital Commons: A Normative African Perspective to AI Development, Deployment, and Governance." In Trustworthy AI. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75674-0_2.

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Abstract This chapter critically explores the nexus of technology, society, and power, emphasising Africa’s integral role in global technological innovation and challenging the notion of technology as a neutral entity, instead framing it as a tool that can perpetuate existing power imbalances. It argues that technology serves as a political tool for dominant groups and is shaped by historical factors that have kept the continent under domination and oppression. Hence, the chapter proposes a prefigurative Afro-centric approach to the development of AI imbued with African epistemologies as a too
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Cronin, Irena. "Text-Based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants." In Understanding Generative AI Business Applications. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0282-9_12.

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Yokesh, V., N. Sathish, A. Prasanth, and Arfat Ahmad Khan. "Issues and Challenges in Traditional Biometric Systems." In AI Based Advancements in Biometrics and its Applications. CRC Press, 2024. http://dx.doi.org/10.1201/9781032702377-2.

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Divya, Ashish Mathur, Abhilasha Mathur, and Vandana Gupta. "Fintech Disruption in Traditional Financial Services: Analyzing the Impact of Fintech Startups on Traditional Banking and Financial Institutions." In The AI Revolution: Driving Business Innovation and Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54379-1_52.

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Mathew, Prabha Susy, and Anitha S. Pillai. "Boosting Traditional Healthcare-Analytics with Deep Learning AI: Techniques, Frameworks and Challenges." In Enabling AI Applications in Data Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52067-0_15.

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Tan, Swee Chuan, Kai Ming Ting, and Shyh Wei Teng. "A Comparative Study of a Practical Stochastic Clustering Method with Traditional Methods." In AI 2010: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17432-2_12.

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Wan Yahaya, Wan Ahmad Jaafar, and Khairulnisak Mohamad Zaini. "AI and Competency-Based Education: Moving Beyond Traditional Approaches." In Advances in Science, Technology & Innovation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-56848-0_4.

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Conference papers on the topic "Traditional AI"

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Yu, Tiexin, Xinxia Wang, Xu Xiao, and Rongshan Yu. "Harmonizing Tradition with Technology: Using AI in Traditional Music Preservation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651124.

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Schwegmann, Alexander, and Claudia S. Hübner. "Counter AI methods against visual reconnaissance." In Target and Background Signatures X: Traditional Methods and Artificial Intelligence, edited by Karin Stein and Ric Schleijpen. SPIE, 2024. http://dx.doi.org/10.1117/12.3033914.

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Zhao, Tingxuan. "The Impact of AI Painting on Traditional Painting." In International Conference on E-commerce and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013271200004568.

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Fernandes, Rui, Nuno Lopes, Joaquim Gonçalves, and John Cosgrove. "Comparing Traditional Hacking Tools and AI-Driven Alternatives." In 2025 13th International Symposium on Digital Forensics and Security (ISDFS). IEEE, 2025. https://doi.org/10.1109/isdfs65363.2025.11012027.

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Hübner, Claudia S., and Alexander Schwegmann. "Developing dual attribute adversarial camouflage patterns for counter-AI reconnaissance." In Target and Background Signatures X: Traditional Methods and Artificial Intelligence, edited by Karin Stein and Ric Schleijpen. SPIE, 2024. http://dx.doi.org/10.1117/12.3033819.

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Vanitha, M., Harivanth A, and Govardhan K. "Traditional Work Station System with AI based Crypto Mining." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841598.

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Staley, Joshua, and Muhammad Asim Javaid. "AI AS A MEDICAL EDUCATION ALLY: SUPPLEMENTING TRADITIONAL TEACHING." In 17th International Conference on Education and New Learning Technologies. IATED, 2025. https://doi.org/10.21125/edulearn.2025.2422.

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Procko, Tyler Thomas, Alexandra Davidoff, Timothy Elvira, and Omar Ochoa. "Leveraging Large Language Models on the Traditional Scientific Writing Workflow." In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET). IEEE, 2024. https://doi.org/10.1109/aixset62544.2024.00028.

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Gulrez, Tauseef, Joanne B. Culpepper, Son Lam Phung, and Hoang Thanh Le. "VSAI: visible signature reduction with camouflage patterns via generative AI algorithm." In Target and Background Signatures X: Traditional Methods and Artificial Intelligence, edited by Karin Stein and Ric Schleijpen. SPIE, 2024. http://dx.doi.org/10.1117/12.3034275.

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Kulkarni, Anish, Shubham Gite, Aditya Kulkarni, and Shilpa Sonawani. "Bridging Traditional and Modern AI Techniques for Breast Cancer Histopathology." In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC). IEEE, 2024. https://doi.org/10.1109/icec59683.2024.10837240.

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Reports on the topic "Traditional AI"

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Lohn, Andrew, and Wyatt Hoffman. Securing AI: How Traditional Vulnerability Disclosure Must Adapt. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/2020ca015.

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Like traditional software, vulnerabilities in machine learning software can lead to sabotage or information leakages. Also like traditional software, sharing information about vulnerabilities helps defenders protect their systems and helps attackers exploit them. This brief examines some of the key differences between vulnerabilities in traditional and machine learning systems and how those differences can affect the vulnerability disclosure and remediation processes.
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Burstein, Jill. Duolingo English Test Responsible AI Standards. Duolingo, 2023. http://dx.doi.org/10.46999/vcae5025.

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Artificial intelligence (AI) is now instantiated in digital learning and assessment platforms. Many sectors, including tech, government, legal, and military sectors, now have used formalized principles to develop responsible AI standards. While there is a substantial literature around responsible AI more generally (e.g., Fjeld et al., 2020; Gianni et al., 2022; and, NIST, 20231 ), traditional validity frameworks (such as, Xi, 2010a; Chapelle et al., 2008; Kunnan, 2000; and, Kane, 1992) pre-date AI advances, and do not provide formal standards for the use of AI in assessment. The AERA/APA/NCME
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Bozzo Hauri, Sebastián. The New Frontier of Civil Liability: Artificial Intelligence, Autonomy, and Consumer Protection. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/bozzo2202599.

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Technological evolution has entered a phase that challenges the very foundations of private law. The emergence of systems based on artificial intelligence (AI)—particularly in their most recent form, so-called AI agents—compels a reassessment of the traditional framework of civil liability, especially in the field of consumer law. The trajectory of AI has followed a path marked by three distinct waves. The first wave was predictive AI, trained on historical data to anticipate future behavior, as seen in recommendation engines and segmentation models. The second wave introduced generative AI—su
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Jakobsen, Tor Georg. Using ChatGPT with Stata: Regression Analysis (Part II). Instats Inc., 2025. https://doi.org/10.61700/2w5b85mmn916t1568.

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This comprehensive 3-day workshop focuses on refining statistical modeling and regression analysis skills by integrating advanced AI tools like ChatGPT with traditional software such as Stata. Participants will gain practical competencies in various regression techniques, including interaction effects (or 'moderation'), logistic regression, missing data, scale construction, transformations, weighting, and how to deal with regression assumptions, along with AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands.
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Pasupuleti, Murali Krishna. Neuromorphic Nanotech: 2D Materials for Energy-Efficient Edge Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rr325.

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Abstract The demand for energy-efficient, real-time computing is driving the evolution of neuromorphic computing and edge AI systems. Traditional silicon-based processors struggle with power inefficiencies, memory bottlenecks, and scalability limitations, making them unsuitable for next-generation low-power AI applications. This research report explores how 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, and MXenes, are enabling the development of neuromorphic architectures that mimic biological neural networks for high-speed, ultra-low-power computat
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Obringer, Renee, Rohini Kumar, and Kaveh Madani. Harnessing the Power of AI for Climate Change Impact Assessment. United Nations University Institute for Water, Environment and Health (UNU INWEH), 2024. http://dx.doi.org/10.53328/inr24ror012.

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Climate change impact assessment is critical for creating adequate climate change mitigation and adaptation policies and plans. Critical infrastructure systems (e.g., water and energy systems) are particularly at risk for climate change impacts. In fact, a better understanding of climate change impacts on the water and energy systems would facilitate the fulfillment of SDG2 (end hunger), SDG 6 (clean water and sanitation), SDG 7 (affordable and clean energy), SDG 11 (sustainable cities and communities), and SDG 13 (climate action), with many indirect benefits across many other areas. Nonethele
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Pasupuleti, Murali Krishna. Decentralized Creativity: AI-Infused Blockchain for Secure and Transparent Digital Innovation. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi125.

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Abstract The convergence of artificial intelligence (AI) and blockchain technology is transforming the creative economy by enabling secure, transparent, and decentralized innovation in digital content creation, intellectual property management, and monetization. Traditional creative industries are often constrained by centralized platforms, opaque copyright enforcement, and unfair revenue distribution, which limit the autonomy and financial benefits of creators. By leveraging blockchain’s immutable ledger, smart contracts, and non-fungible tokens (NFTs), digital assets can be authenticated, to
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Ferdosian, Hengameh, Hadi Zamanian, Sayed Ali Emami, Elahe Sedighi, Mina Moridi, and Maryam Doustmehraban. Application of artificial intelligence in prediction of cardiovascular complications in patients with diabetes mellitus type 2: A protocol of systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.10.0076.

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Review question / Objective: The aim of this systematic review is to evaluate AI-based models in identifying predictors of cardiovascular events and risk predtion in patients with diabetes mellitus type2. Condition being studied: T2DM patients have an increased risk of macrovascular and microvascular complications, lead to decreased quality of life and mortality. Considering the significance of cardiovascular complications in these patients, prediction of such events would be important. Different traditional statistical methods(such as regression) and new AI-besed algorithms are used to predic
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Pasupuleti, Murali Krishna. Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks. National Education Services, 2025. https://doi.org/10.62311/nesx/rr925.

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Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the development of AI-driven security solutions. This research explores the integration of machine learning (ML) algorithms with quantum cryptographic frameworks to enhance Quantum Key Distribution (QKD), post-quantum cryptography (PQC), and real-time threat detection. AI-powered quantum security mechanisms, including neural network-based quantum
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Pasupuleti, Murali Krishna. Automated Smart Contracts: AI-powered Blockchain Technologies for Secure and Intelligent Decentralized Governance. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv425.

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Abstract: Automated smart contracts represent a paradigm shift in decentralized governance by integrating artificial intelligence (AI) with blockchain technologies to enhance security, scalability, and adaptability. Traditional smart contracts, while enabling trustless and automated transactions, often lack the flexibility to adapt to dynamic regulatory frameworks, evolving economic conditions, and real-time security threats. AI-powered smart contracts leverage machine learning, reinforcement learning, and predictive analytics to optimize contract execution, detect fraudulent transactions, and
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