Counting Cattle in Argentina with AI and Satellite Images by S. Torrusio, J. Gonzalez, J. Gonzalez, M. Errázquin, A. Cereceda, M. J. Cassano, N. Morales, R. Saucedo

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AI-Based Visual Early Warning System by Zeena Al-Tekreeti, Jeronimo Moreno-Cuesta, Maria Isabel Madrigal Garcia, Marcos A. Rodrigues

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FRIA implementation model according to the AI Act by Lucilla Gatt, Ilaria Amelia Caggiano, Maria Cristina Gaeta, Emiliano Troisi, Roberta Savella, Roberto Trasarti, Francesca Pratesi

“…The paper presents the FRIA project aimed at researching and specifying a methodology to assess the impact of Artificial Intelligence (AI) systems on fundamental rights, as recognised by the international and European regulations of hard law and soft law, with the specific reference to the judicial sector as the field of analysis. …”
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Artificial Intelligence (AI) Competency and Educational Needs: Results of an AI Survey of Members of the European Society of Pediatric Endoscopic Surgeons (ESPES) by Holger Till, Hesham Elsayed, Maria Escolino, Ciro Esposito, Sameh Shehata, Georg Singer

“…A strong majority (84%) felt that the ESPES should lead AI education in pediatric surgery. <b>Conclusions</b>: This survey presents the ESPES with a unique opportunity to develop a competency map of its membership’s AI/ML skills and develop targeted educational programs, thus positioning the society to take the lead in AI education and the advancement of AI solutions in pediatric endosurgery.…”
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Criteria and Improvement Directions for Copyright Registration of AI-Generated Works: Focusing on the Ministry of Culture, Sports, and Tourism’s “Generative AI Copyright Guide”... by Jongjin Kim, Hangbae Chang

“…Discussions on the copyright of artworks created using generative AI are currently active. Moreover, the Ministry of Culture, Sports and Tourism announced the “Generative AI Copyright Guide” to present the criteria for the copyright registration of generative AI products. …”
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Integrated AI System for Real-Time Sports Broadcasting: Player Behavior, Game Event Recognition, and Generative AI Commentary in Basketball Games by Sunghoon Jung, Hanmoe Kim, Hyunseo Park, Ahyoung Choi

“…This study presents an AI-based sports broadcasting system capable of real-time game analysis and automated commentary. …”
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Exploring the generative AI potential in the fashion design process: an experimental experience on the collaboration between fashion design practitioners and generative AI tools by Greta Rizzi, Paola Bertola

“…In light of the current scenario, the presented research aims to discuss the application of Gen AI tools for image, text, and video generation in fashion design. …”
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THE MOSCOW AMBULANCE STATION. FROM THE SOURSE TO THE PRESENT by N. F. Plavunov, L. F. Verkhoturova, V. A. Kadyshev, A. N. Rozhenetskij

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City models: past, present and future prospects by Helge Ritter, Otthein Herzog, Kurt Rothermel, Anthony G. Cohn, Zhiqiang Wu

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Aerodynamics of Corrugated Wings: Past, Present, and Future by Eduards Lurans, Almajd Alhinai, Harish Viswanathan

“…Furthermore, we focus on topics such as fluid–structure interaction and aeroacoustics, presenting the possibility of morphing wing technologies in tandem and its effects on an angle of attack at various flight modes. …”
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Architectural phenomenology: Past, present, future of an interdisciplinarity by Qing Liu

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Ergothioneine biosynthesis: The present state and future prospect by Li Liang, Xu Shan-Shan, Jiang Yan-Jun

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A.I. Babukhin – eminent histologist, physiologist, bacteriologist by S. L. Kuznetsov, Ch. S. Gadzhieva, M. A. Afanasjev

“…In article the basic stages of a course of Alexander Ivanovich Babuhin life are presented. A.I. Babuhin’s scientific works have allowed to lay the foundation for absolutely new direction in histology – histophysiology. …”
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Explainable AI for Healthcare 5.0: Opportunities and Challenges by Deepti Saraswat, Pronaya Bhattacharya, Ashwin Verma, Vivek Kumar Prasad, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma

“…However, healthcare operational procedures, verifiability of prediction models, resilience, and lack of ethical and regulatory frameworks are potential hindrances to the realization of Healthcare 5.0. Recently, explainable AI (EXAI) has been a disruptive trend in AI that focuses on the explainability of traditional AI models by leveraging the decision-making of the models and prediction outputs. …”
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Artificial Intelligence in criminalistics: new dimensions of AI Copywriting by Endre Nyitrai

“…Value: The paper presents the collaboration between humans and AI, while highlighting the importance of creativity and critical thinking. …”
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Comparison of AI applications and anesthesiologist’s anesthesia method choices by Enes Çelik, Mehmet Ali Turgut, Mesut Aydoğan, Metin Kılınç, İzzettin Toktaş, Hakan Akelma

“…There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the present study is to evaluate the ability of AI to make decisions regarding anesthesia methods and to compare the most popular AI programs from this perspective. …”
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AI investment in education and training and economic growth in the USA by Dervis Kirikkaleli, Nurdan O. Kirikkaleli

“…The present study aims to explore the effect of artificial intelligence (AI) investment in education and training on gross domestic product (GDP) in the United States of America (USA) while controlling for the traditional determinants of labor and capital. …”
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From Icons to AI: Evolution of Imagery in Religious Communication by Bryan B. Albia, Mariel B. Blanza, Andrew Joseph S. Chanco

“…They also serve as powerful and evocative tools for inspiring devotion and promoting practices that can lead to increased participation in religious rituals and a more profound sense of connection to one’s faith. This paper aims to present the evolution of icons and understand whether AI-generated icons made possible today by generative AI tools can be employed in religious communication. …”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

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AI in biomedical science: innovations, challenges, and ethical perspectives by Aynur Aliyeva

“…However, limitations include data privacy concerns, lack of population diversity in datasets, and the need for clinician oversight. AI presents transformative opportunities across biomedical science and healthcare. …”
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