Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections by S.M. Rowe, E. Zhang, S.M. Godden, A.K. Vasquez, D.V. Nydam

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Using deep learning to differentiate among histology renal tumor types in computed tomography scans by Hung-Cheng Kan, Po-Hung Lin, I-Hung Shao, Shih-Chun Cheng, Tzuo-Yau Fan, Ying-Hsu Chang, Liang-Kang Huang, Yuan-Cheng Chu, Kai-Jie Yu, Cheng-Keng Chuang, Chun-Te Wu, See-Tong Pang, Syu-Jyun Peng

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The Role of Digital Transformation in Manufacturing: Discrete Event Simulation to Reshape Industrial Landscapes by Fabio De Felice, Cristina De Luca, Antonella Petrillo, Antonio Forcina, Miguel Angel Ortiz Barrios, Ilaria Baffo

“…In the era of Industry 4.0, the integration of intelligent systems with human elements presents both opportunities and challenges. …”
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Degeneration of Character, Aesthetics of Origin, and Augmented Absence in Posthuman Cinema by Savaş Keskin

“…What does cinema mean as the product of a character created as codes (computer code) in a trans-image form that transcends characters created as modus in the form of an image? …”
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A imagem numérica do pensamento by André Luis La Salvia

“…The paper seeks to reflect on the definition of thought in our present-day, when the word intelligent is being used on a large scale by systems with high computational power. …”
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Reconceptualizing Constitutionalism in the AI Run Algorithmic Society by Matej Avbelj

“…It examines the theoretical and practical challenges to constitutionalism arising from the profound technological changes under the influence of artificial intelligence (AI) in our emerging algorithmic society. …”
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AI in healthcare: Weighing innovation with trust, ethics, and human touch by Talat Waseem, Haseeb Arif

“…This is particularly true for the healthcare industry, where artificial intelligence (AI) has been applied to a wide range of fields, including medical education and training, diagnostic medicine, creating individualized treatment plans, and medical research, which has produced advances in essential fields like pharmacology and genomics.1 But as AI technology develops and becomes increasingly integrated into our daily lives, it is essential to comprehend how it affects society's socioeconomic elements and the moral and societal conundrums raised by its broad use. …”
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From Expert Computational Knowledge to Interdisciplinary Communication by Eva Dokladalova, Rédha Hamouche, Rémy Kocik

“…In the contemporary landscape, the fields of cybernetics, artificial intelligence, and digital technology significantly impact society, reshaping production processes, decision-making frameworks, and human behaviors. …”
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Generative AI in healthcare: challenges to patient agency and ethical implications by Scott A. Holmes, Scott A. Holmes, Vanda Faria, Vanda Faria, Vanda Faria, Eric A. Moulton, Eric A. Moulton, Eric A. Moulton

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Context-oriented design of the historical urban environment using neural networks by Savelyeva Ekaterina O., Belyakova Darya P.

“…In conclusion, the importance of modern technologies such as neural networks for preserving and enriching cultural heritage is emphasized, as well as their role in creating more sustainable and harmonious urban environments.…”
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La réciprocité dans la coopération cybernétique en Afrique de l’Ouest by Kossi AMESSINOU

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Using Physical Parameters for Phase Prediction of Multi-Component Alloys by the Help of TensorFlow Machine Learning with Limited DataUsing Physical Parameters for Phase Prediction... by Kağan Şarlar

“…In this study, the valence electron concentration (VEC), atomic size difference (δ), enthalpy of mixing (∆H_mix), the entropy of mixing (〖∆S〗_mix) and electronegativity difference (∆χ) values are calculated for each alloy and a dataset has been created. We use gradient boosted trees machine learning method with TensorFlow artificial intelligence program to explore phase selection using an experimental dataset consisting of 118 multi-component alloy system. …”
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Digital transformation in hospitality: the role of AI in enhancing business through gastronomic offerings by Dragan Vukolić, Tamara Gajić, Anđelka Popović

“…Managers from 64 restaurants across the Republic of Serbia participated in the research, and the findings demonstrate the clear potential of artificial intelligence to transform hospitality, creating sustainable and innovative business practices.…”
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Application of ai driven system for estimation of orders in the printing industry by Kostaryev D., Tkachenko V., Sizova N.

“…Although many printing stages (prepress, color management, quality control) are automated, smart order estimation remains underdeveloped − creating bottlenecks, especially for small and medium print runs. …”
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Demand response potential evaluation based on feature fusion with expert knowledge and multi‐image by Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin, Zhangying Cheng, Tingzhe Pan

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METAVERSE IN EDUCATION – TEACHERS’ PERSPECTIVES ON BENEFITS AND CHALLENGES by Sofija Matović, Tamara Marković, Nikoleta Dobrosavljević, Miljana Stajin

“…The metaverse, powered by artificial intelligence and integrating virtual, augmented, and mixed reality, represents an emerging technology with the potential to transform education by creating immersive learning environments. …”
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The dynamic Colombian sign language dataset for basic conversation LSC70Mendeley Data by Jader Alejandro Muñoz Galindez, Leidy Verónica Villota Coral, Rubiel Vargas Cañas

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Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques by Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad, Ilias Politis, Nikolaos Pitropakis

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The Use of AI in Elementary School Learning: A Systematic Literature Review by Natalina Purba, Desti Pujiati, Partohap Saut Raja Sihombing, Hendra Simanjuntak, Desi Sijabat

“… This study systematically reviews the implementation of Artificial Intelligence (AI) in elementary education, focusing on the role of AI in enhancing teaching effectiveness, personalized learning, and student engagement. …”
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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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