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Journal articles on the topic 'Traditional AI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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 Window search engines create inefficient operations and expensive maintenance requirements because they allow outdated information and Search Engine Optimization manipulations.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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Reddy Yanamala, Kiran Kumar. "Integration of AI with Traditional Recruitment Methods." Journal of Advanced Computing Systems 1, no. 1 (2024): 1–7. http://dx.doi.org/10.69987/jacs.2021.10101.

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Enbasekaran, V. S., Nithyashree G, Arul Mary Rexy V, and Jaykumar A. "FINTECH AND AI: DISRUPTING TRADITIONAL FINANCIALMANAGEMENT MODELS." ASET Journal of Management Science 4, no. 2 (2025): 176–82. https://doi.org/10.47059/ajms/v4i2/20.

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In the banking, investing, insurance, and risk management industries, the traditional financial management models are being drastically altered by the quick development of Fin TechandAI. This paper examines how artificial intelligence (AI)-powered solutions, includingroboticprocess automation (RPA), natural language processing, predictive analytics, and machinelearning algorithms, are upending traditional financial procedures, improving operational effectiveness, and changing consumer experiences. AI technologies are increasing accuracy, speed, and Personalization in financial services by auto

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B, Ramprakash, Surya Devi B, Dr Nithyakala G, Bhumika K, and Avanthika S. "Comparing Traditional Instructional Methods to ChatGPT: A Comprehensive Analysis." Journal of Engineering Education Transformations 37, IS2 (2024): 612–20. http://dx.doi.org/10.16920/jeet/2024/v37is2/24095.

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In today's educational landscape, shaped by rapid technological advancements, this study addresses the pertinent issue of inclusion of artificial intelligence (AI) in mathematics education. The focus is specifically on the utilization of ChatGPT, an AI-driven tool, to enhance the comprehension of differentiation and integration concepts among students. The contemporary educational context emphasizes the significance of AI in transforming learning experiences. However, the practical implications of AI implementation remain a subject of inquiry and exploration. This study seeks to bridge the gap

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Wang, Yulin, Xiuming Shi, Li Li, Thomas Efferth, and Dong Shang. "The Impact of Artificial Intelligence on Traditional Chinese Medicine." American Journal of Chinese Medicine 49, no. 06 (2021): 1297–314. http://dx.doi.org/10.1142/s0192415x21500622.

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Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic inst

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Karchevskyi, Mykola Vitaliiovych, and Oleksandr Eduardovych Radutniy. "Artificial intelligence in Ukrainian traditional categories of criminal law." Herald of the Association of Criminal Law of Ukraine 1, no. 19 (2023): 1–25. http://dx.doi.org/10.21564/2311-9640.2023.19.281123.

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At the request of the International Association of Criminal Law (AIDP-IAPL, Association International de Droit Pénal – a non-governmental organization on criminal law, Paris, France) within the framework of the XXI International Congress of Criminal Law "Artificial Intelligence and Criminal Justice", a subgroup of the Ukrainian national group of AIDP-IAPL in two scientists prepared detailed answers to questions about ▪ definition and legal qualification of Artificial Intelligence system (legal definition of AI system in Ukrainian law, Ukrainian AI-based systems for predictive policing, legal d

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Sudheer, Peddineni Kalava. "Why AI in Digital Marketing is Making Traditional Methods Obsolete." International Journal of Leading Research Publication 5, no. 12 (2024): 1–6. https://doi.org/10.5281/zenodo.14995969.

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AI has transformed how businesses connect with their target audiences in marketing. This paper shows the change from conventional marketing to AI-powered strategies. We analyze the technical capabilities that make traditional methods less effective today. Machine learning algorithms, natural language processing, and computer vision technologies now boost marketing precision and personalization.Our study uses quantitative analysis to compare performance metrics between AI-driven and traditional marketing campaigns. We also evaluate the technical infrastructure needs. The paper gives an explanat

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Hafermalz, Ella, Marleen Huysman, and Jana Retkowsky. "From Explainable AI to Explaining to AI (X2AI): Representational Practices in AI at Work." Journal of Openness, Commons & Organizing 3, no. 1 (2024): 4–7. http://dx.doi.org/10.59083/969487ehwzga.

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This paper introduces the concept of "Explaining to AI" (X2AI) in the context of organizational and work environments, contrasting it with traditional "Explainable AI" (XAI). While XAI focuses on making AI systems transparent to human users, X2AI emphasizes the interactions where humans explain themselves to AI, specifically through representational practices of training, prompting, and feeding AI models. This shift highlights the political dimensions of representation and recognition within AI systems, stressing the need for AI to understand human contexts and identities. We discuss the impli

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Farooq, Khan Raheela, and Sarbesh Kumar Singh. "Mindfulness and Meditation in Enhancing Performance in Non-Traditional Sports." Journal of Advances and Scholarly Researches in Allied Education 22, no. 2 (2025): 36–45. https://doi.org/10.29070/d7ks7z44.

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The contribution of mindfulness and self-efficacy in improving moral judgement under artificial intelligence (AI) governance is investigated in this work. Ensuring ethical technology use calls on leaders to combine technical developments with moral responsibility as artificial intelligence systems progressively affect important decision-making. Although mindfulness is becoming more and more popular in many spheres, its effects on difficult decisions in AI governance are yet little known. This paper looks at how self-efficacy, spiritual intelligence, and mindfulness support moral reasoning, ope

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19

Babaeian, Ali. "Pronunciation Assessment: Traditional vs Modern Modes." Journal of Education For Sustainable Innovation 1, no. 1 (2023): 61–68. http://dx.doi.org/10.56916/jesi.v1i1.530.

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This article discusses the significance of pronunciation in linguistic competence and its role in effective communication for English speakers. It highlights the potential issues arising from human-rated pronunciation assessments, including inconsistency and bias. To overcome these challenges, the article examines the adoption of AI-powered platforms in pronunciation assessment. These platforms offer rapid results while maintaining high validity standards. They rely on technologies like Automatic Speech Recognition (ASR) and speech analysis programs to evaluate pronunciation skills based on su

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20

Sandeep Kumar Saroj. "Socio-Culture Impact of AI on Traditional Indian Communities." Voice of Creative Research 7, no. 1 (2025): 78–84. https://doi.org/10.53032/tvcr/2025.v7n1.09.

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This article explores the socio-cultural impact of Artificial Intelligence (AI) on traditional Indian communities. In recent years, AI technologies have increasingly penetrated various aspects of Indian society, influencing cultural practices, economic structures, and social dynamics. The study examines how AI advancements are reshaping traditional roles, customs, and knowledge systems within these communities. It investigates both the positive and negative implications of AI adoption, highlighting changes in livelihood patterns, community cohesion, and intergenerational knowledge transfer. Sp

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Researcher. "ENHANCING TRADITIONAL MARKETING CHANNELS WITH AI: A HOLISTIC APPROACH." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 738–51. https://doi.org/10.5281/zenodo.13889681.

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This article explores the integration of artificial intelligence (AI) technologies into traditional marketing channels, examining how AI can revitalize and enhance the effectiveness of print media, television, radio, and outdoor advertising in an increasingly digital landscape. The study investigates AI-driven techniques for optimizing ad placement, content creation, and audience targeting within these established mediums. Through an analysis of industry reports, case studies, and academic research, the article demonstrates how machine learning, natural language processing, and computer vision

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22

Marushchak, Svitlana, Oleg Varenyk, Oleksii Zhuk, Grygoriy Shamborovskyi, and Sergii Vasylyk. "The collaborative economy and its disruptive impact on traditional markets." Revista Amazonia Investiga 13, no. 83 (2024): 142–56. https://doi.org/10.34069/ai/2024.83.11.11.

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The sharing economy has emerged as a disruptive force, transforming how goods and services are accessed and utilized. This paper comprehensively analyzes the benefits, challenges, and impacts of the sharing economy on traditional markets. Through a systematic literature review, the study examines this collaborative model's economic, social, and environmental implications. Key findings highlight the increased efficiency and sustainability of resource utilization but also reveal challenges such as regulatory complexities and disruptions in conventional business models. The study underscores the

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Sarang, Shubham, and Flavia Gonsalves. "Exploring Computer Vision: From Traditional Techniques to AI - Driven Innovations." International Journal of Science and Research (IJSR) 13, no. 6 (2024): 855–61. http://dx.doi.org/10.21275/sr24611174902.

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24

Rawish Siddiqui, Muhammad. "Big Data vs. Traditional Data, Data Warehousing, AI, and Beyond." Chemistry Research and Practice 1, no. 2 (2024): 01–06. https://doi.org/10.64030/3065-906x.01.02.04.

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In the age of digital transformation, the rise of Big Data has fundamentally altered how organizations store, process, and utilize information. This whitepaper provides a comprehensive analysis comparing Big Data with traditional data systems, data warehousing, business intelligence (BI), artificial intelligence (AI), data science, and NoSQL databases. By exploring key differentiators such as volume, variety, velocity, and processing capabilities, this paper aims to shed light on how Big Data has reshaped modern technology infrastructures and its role in advancing analytics, decision-making, a

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25

Martins, Maicon Roberto. "Project Management Evolution: From Traditional IT Implementations to AI-Driven Projects." International Journal of Scientific Research and Management (IJSRM) 11, no. 07 (2023): 5011–28. http://dx.doi.org/10.18535/ijsrm/v11i07.em03.

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The rapid advancement of artificial intelligence (AI) has brought transformative changes to project management, necessitating a departure from traditional methodologies previously employed in IT project implementations. This paper explores the evolution of project management from conventional IT approaches to the dynamic demands of AI-driven projects. While foundational principles of project management—such as planning, risk management, and stakeholder communication—remain relevant, AI projects introduce unique challenges and require significant adaptations to existing frameworks. The study be

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Chen, Mingtao. "AI cheating versus AI anti-cheating: A technological battle in game." Applied and Computational Engineering 73, no. 1 (2024): 222–27. http://dx.doi.org/10.54254/2755-2721/73/20240402.

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Before AI (Artificial Intelligence) became popular, the way people cheated in video games was easily detected. However, everything changed when some cheaters found that AI could be used in cheating. When AI cheating replaces traditional cheating and becomes a popular cheating method, AI anti-cheating rises to the occasion. This paper presents the difference between AI cheating and traditional cheating, how AI cheating works use the YOLO (you only look once) , a model to achieve object detection as an example), and the differences between normal anti-cheating systems and AI anti-cheating. Throu

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Umaroh, Liya, Mukaromah Mukaromah, Muhammad Naufal, and Ardiawan Bagus Harisa. "Incorporating AI Tool Along with Traditional Method for Speaking Assessment." INTERACTION: Jurnal Pendidikan Bahasa 10, no. 2 (2023): 704–12. http://dx.doi.org/10.36232/jurnalpendidikanbahasa.v10i2.4894.

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This work focused on incorporating AI tool with traditional method for speaking assessment. The descriptive qualitative has been implemented to complete this research. Problem encountered during English pronunciation was failing to distinguish between short vowel and long vowel. By employing traditional and AI tool, students got numerous benefits. They may enjoy learning with the flexibility of time and they also can engage face to face interaction while using traditional method furthermore, it is essential to acknowledge AI tool with the limitation and drawbacks. AI tool do not give the same

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Jatin Navani. "Can AI models Outperform the Traditional Buy-and-Hold Strategy?" Journal of Electrical Systems 20, no. 11s (2024): 1211–19. https://doi.org/10.52783/jes.7420.

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The efficient market theory suggests that the 'buy and hold' (B&H) strategy is optimal due to its simplicity and lower costs. Artificial intelligence (AI) models, including machine learning (ML) is now a common research tool in financial applications. However, advancements in AI and machine learning offer the potential to outperform B&H. This paper investigates AI models applied to the Nifty 50 index, demonstrating that an AI-based strategy can surpass the performance of the traditional B&H approach. We compare various machine learning classifiers, such as LightGBM, KNN, XGB, SVC,

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Zhang, Rong. "Using artificial intelligence assistant technology to develop animation games on IoT." Computer Science and Information Systems, no. 00 (2023): 21. http://dx.doi.org/10.2298/csis220719021z.

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This research proposes an XNA animation game system with AI technology for action animation games in mobile devices, based on an object-oriented modular concept. The animation game function with AI technology is encapsulated into independent objects, through the combination of objects to build repetition. It adds AI technology to the finite state machine, fuzzy state machine and neural network and attempts to combine the traditional rule-base system and learning adaptation system to increase the learning ability of traditional AI roles. The main contributions are compared with traditional meth

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Stadlmann, Christian, and Andreas Zehetner. "Comparing AI-Based and Traditional Prospect Generating Methods." Journal of Promotion Management 28, no. 2 (2021): 160–74. http://dx.doi.org/10.1080/10496491.2021.1987973.

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31

Kumar, Amruth, Deepak Kumar, and Ingrid Russell. "Non-traditional projects in the undergraduate AI course." ACM SIGCSE Bulletin 38, no. 1 (2006): 479–80. http://dx.doi.org/10.1145/1124706.1121491.

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32

Doshi, Kinil. "Unlocking Success: Integrating AI in Traditional Banking Operations." International Journal of Scientific Research and Engineering Trends 8, no. 6 (2022): 2399–404. https://doi.org/10.61137/ijsret.vol.8.issue6.537.

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33

Latifa, Eladnani. "THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON THE TRADITIONAL RECRUITMENT PROCESS." International Journal of Management and Commerce Innovations 12, no. 4 (2025): 220–26. https://doi.org/10.5281/zenodo.14908966.

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<strong>Abstract:</strong> The rapid advancement of technology, driven by globalization, has compelled organizations to adopt innovative approaches to remain competitive. Human Resource Management (HRM), particularly recruitment, has been significantly influenced by Artificial Intelligence (AI), which automates and enhances processes that were once manual. This study explores the impact of AI on recruitment, focusing on its ability to improve efficiency, minimize biases, and elevate the candidate experience. Through qualitative research, insights were gathered from HR professionals who activel

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BIRMINGHAM, WILLIAM P. "The AI in AI EDAM." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, no. 1 (2007): 5–6. http://dx.doi.org/10.1017/s0890060407070035.

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A natural question is why AI in design? Although the design applications written about in the journal vary widely, the common thread is that researchers use AI techniques to implement their ideas. The use of AI techniques for design applications, at least when AI EDAM was started, was partially a reaction against the predominant design methods based on some form of optimization. Knowledge-based techniques, particularly rule-based systems of various sorts, were very popular. One of the draws of these methods, I believe, was their ability to represent knowledge that is hard or awkward to represe

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Dhanapal, Chitra, N. Asharudeen, and Sabina Yasmin Alfaruque. "Impact of Artificial Intelligence Versus Traditional Instruction for Language Learning: A Survey." World Journal of English Language 14, no. 2 (2024): 182. http://dx.doi.org/10.5430/wjel.v14n2p182.

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This study examined the impact of AI-based training compared to conventional instruction approaches in the context of language acquisition.Employing a survey-based methodology, this study collected data from language learners to assess their perspectives and experiences of both traditional and AI-based training.The aim was to determine the advantages and disadvantages of AI-based training and its potential to enhance language learning outcomes.This study commences with a comprehensive analysis of existing research on AI in language learning and compares AI-based training with conventional inst

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Rhali, Najoua, Youssef Said, and Zainab Joukhrane. "A comparative analysis between AI and traditional methods in management control." International Journal of Research in Economics and Finance 2, no. 5 (2025): 21–29. https://doi.org/10.71420/ijref.v2i5.109.

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Artificial Intelligence (AI) is reshaping management control by introducing predictive and automated tools capable of processing vast amounts of data in real time. Unlike traditional methods that rely on static analysis and historical records, AI-driven systems enhance agility, accuracy, and the speed of decision-making. This transformation enables organizations to anticipate changes more effectively and optimize the allocation of their resources. Nevertheless, the integration of AI also raises several challenges, particularly in terms of implementation costs, data quality, and ethical conside

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Tushar Ranjan Barik and Priyanka Ranawat. "Transformation of Traditional Corporate Tax Planning into AI-Driven Corporate Tax Planning." Involvement International Journal of Business 1, no. 4 (2024): 269–80. http://dx.doi.org/10.62569/iijb.v1i4.68.

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Corporate tax planning has traditionally relied on manual processes and expert judgment to minimize tax liabilities. However, the rise of artificial intelligence (AI) presents new opportunities to transform these practices through automation, real-time analysis, and predictive capabilities. To conduct this research, a comprehensive review of academic literature, case studies, and existing AI tools in tax planning was carried out. The proposed AI-based tax planning model was developed based on these findings and validated through simulations and expert feedback. The study also examined the proc

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Alva, Lingareddy. "AI-Driven Data Mesh with Generative AI for Enterprise Analytics." European Journal of Computer Science and Information Technology 13, no. 37 (2025): 97–108. https://doi.org/10.37745/ejcsit.2013/vol13n3797108.

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This article explores the transformative integration of generative AI capabilities with Data Mesh architecture to revolutionize enterprise analytics. Beginning with examining traditional data architectures' limitations, the discussion highlights how centralized proceeds towards creating bottlenecks that impede innovation and time-to-insight. The Data Mesh paradigm is presented as a fundamental shift that decentralizes data ownership while maintaining federated governance. The integration of generative AI within this framework enables natural language interfaces, synthetic data generation, auto

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Tang, Xiaogeng. "Impact of Artificial Intelligence on Traditional Accounting - An Overview of Opportunities and Challenges." SHS Web of Conferences 218 (2025): 03029. https://doi.org/10.1051/shsconf/202521803029.

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Artificial intelligence (AI) has had a significant impact on the accounting industry by improving accuracy, automating repetitive tasks, and increasing efficiency. In addition to financial automation, auditing, tax compliance, and predictive analysis, advanced AI technologies like machine learning (ML), robotic process automation (RPA), and natural language processing (NLP) are becoming more and more integrated into various accounting functions. These innovations enable businesses to reduce operational costs and help more educated and appropriate decision-making. Despite its benefits, AI still

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40

Ayush Singh, Sudhanshu Kumar Jha, Pramod Chandra Dwivedi, Utkarsh Srivastava, and Akash Pal. "Revolutionizing healthcare: Integrating Electronics, AI, traditional, and conventional methods." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 2426–34. http://dx.doi.org/10.30574/wjarr.2024.23.3.2919.

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The merging of traditional medicine, electronic gadgets, artificial intelligence (AI), and conventional medicine is changing the face of healthcare globally. Traditional medicine, which is renowned for its accuracy and research-backed methodology, is increasingly being supplemented with the holistic and preventative techniques of ancient medicinal systems like Ayurveda and Unani. The integration of wearable gear with AI enhances healthcare delivery by making diagnoses more precise, enabling patients to have their treatment plans tailored to their specific needs, and enabling remote patient mon

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Ayush, Singh, Kumar Jha Sudhanshu, Chandra Dwivedi Pramod, Srivastava Utkarsh, and Pal Akash. "Revolutionizing healthcare: Integrating Electronics, AI, traditional, and conventional methods." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 2426–34. https://doi.org/10.5281/zenodo.14967242.

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The merging of traditional medicine, electronic gadgets, artificial intelligence (AI), and conventional medicine is changing the face of healthcare globally. Traditional medicine, which is renowned for its accuracy and research-backed methodology, is increasingly being supplemented with the holistic and preventative techniques of ancient medicinal systems like Ayurveda and Unani. The integration of wearable gear with AI enhances healthcare delivery by making diagnoses more precise, enabling patients to have their treatment plans tailored to their specific needs, and enabling remote patient mon

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42

Zhang, Yayin. "The Integration of Traditional Broadcasters with Artificial Intelligence in Television News Programmes." SHS Web of Conferences 158 (2023): 02009. http://dx.doi.org/10.1051/shsconf/202315802009.

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Artificial Intelligence (AI) has been a powerful force in technological development over the last decade, creating a new wave of technology worldwide, led by China and the United States, with solid but different development momentum. Therefore, understanding Chinese social media’s current attitudes and tendencies towards AI is crucial to understanding the future direction of AI development. Artificial intelligence technology is applied to various fields, and media is one of them. The advent of the 5G era and the emergence of AI anchors have hugely impacted the media sector. In this paper, we a

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Kohli, Kamya. "THE AI-GENDER INTERSECTION: PIONEERING SOLUTIONS FOR WORK-LIFE BALANCE BEYOND TRADITIONAL HOURS." International Journal of Advanced Research 12, no. 09 (2024): 587–600. http://dx.doi.org/10.21474/ijar01/19491.

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The paper explores the intersection of artificial intelligence (AI) and gender equality, focusing on how AI can address gender disparities in the workplace and enhance work-life balance. It begins by outlining the historical context of the traditional 9-5 work model and its implications for gender inequality, particularly the challenges faced by women in achieving career advancement and work-life balance. The research objectives include investigating the potential of AI technologies to reduce gender disparities, improve work-life balance, and foster unbiased hiring practices. Key findings high

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A P, Sree Thamanna, Pavithra R, and N. Kalaivani. "A COMPARATIVE ANALYSIS OF AI - DRIVEN TRAININGANDMONITORING VS. TRADITIONAL METHODS INEMPLOYEELEARNING AND PRODUCTIVITY MEASUREMENT." ASET Journal of Management Science 4, no. 2 (2025): 439–50. https://doi.org/10.47059/ajms/v4i2/43.

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Aim: This study aims to evaluate the effectiveness of AI-driven training and monitoringsystemscompared to traditional employee training and productivity measurement methods in corporateand organizational settings. Specifically, it seeks to analyze how AI-driven approaches impact learning outcomes, skill retention, engagement levels, and overall workplace productivity. Additionally, the study will assess whether AI-based monitoring provides more accurate, realtime, and personalized insights into employee performance compared to conventional evaluationtechniques. The findings will contribute to

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Joseph, Emil. "Leveraging AI to Inspire Innovation in Traditional and Digital Business Ecosystems." Journal of Business Ecosystems 6, no. 1 (2025): 1–18. https://doi.org/10.4018/jbe.383049.

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The advent of Artificial Intelligence (AI) has been a transformative phenomenon, redefining various traditional and digital business ecosystems. This paper discusses how AI infusion drives operational efficiency, customer experience, revenue enhancement, and workforce optimization across industries. We showcase real-world examples of how organizations like Telstra, Databricks, and Alibaba use AI to optimize back-end processes, enhance customer experiences, and ignite innovation through case studies and data analysis. The study outlines national movements like the “IndiaAI Mission” in India and

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Hajira, Bi Bi, and Renuka Sunil Shahapurkar. "Comparative Analysis of Traditional Wealth Management Services vs. AI-Based Wealth Management Software." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem37400.

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The integration of artificial intelligence (AI) is transforming the wealth management industry. This paper compares traditional wealth management with AI-based solutions to assess their value to customers, focusing on factors like cost, customization, accessibility, performance, and accuracy. Traditional wealth management offers personalized human interaction, expert advice, and tailored financial planning but often comes with higher costs and limited scalability. In contrast, AI-based wealth management uses advanced algorithms and data analytics for scalable, efficient, and cost-effective ser

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Zhang, Yun-chao, Yi-xuan Zhou, and Wei-guang Gao. "Generative AI Chinese Mythology Animation Traditional Building Production Research." Journal of Communication Design 89 (October 30, 2024): 214–24. https://doi.org/10.25111/jcd.2024.89.16.

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Goel, Ashok K., and David A. Joyner. "Using AI to Teach AI: Lessons from an Online AI Class." AI Magazine 38, no. 2 (2017): 48–59. http://dx.doi.org/10.1609/aimag.v38i2.2732.

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In fall 2014, we launched a foundational course in artificial intelligence (CS7637: Knowledge-Based AI) as part of the Georgia Institute of Technology's Online Master of Science in Computer Science program. We incorporated principles and practices from the cognitive and learning sciences into the development of the online AI course. We also integrated AI techniques into the instruction of the course, including embedding 100 highly focused intelligent tutoring agents in the video lessons. By now, more than 2000 students have taken the course. Evaluations have indicated that OMSCS students enjoy

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BUGRUL, Hasan. "An Evaluation on the Photo Exhibition of Traditional Knitting Works of Hakkâri Province." Art and Interpretation 1, no. 42 (2023): 48–57. http://dx.doi.org/10.5152/ai.2023.23101.

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Wang, Tingye, Xuemei Wang, Ningyi Wei, and Dan He. "Artificial Intelligence in Diagnostics of Traditional Chinese Medicine." Journal of Contemporary Educational Research 9, no. 6 (2025): 143–47. https://doi.org/10.26689/jcer.v9i6.10489.

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With the rapid development of science and technology, the application of artificial intelligence (AI) technology in medical education has become increasingly widespread in the digital age, bringing new opportunities and challenges to China’s higher education of traditional Chinese medicine (TCM). In the context of digital education, it is of great significance to construct a teaching model that integrates AI technology with the characteristics of the diagnostics of traditional Chinese medicine, in order to improve the quality of curriculum teaching in the future. This article aims to introduce

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