Transforming education: exploring the influence of generative AI on teaching performance by Heni Mulyani, Mohamad Azim Istiaq, Elvia R. Shauki, Fitrina Kurniati, Hanifia Arlinda

“…The emergence of Generative Artificial Intelligence (AI) marks a revolutionary advancement in education. …”
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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

“…While various research endeavors have explored obesity classification, many existing approaches lack reliability due to limited integration with explainable artificial intelligence (XAI) methodologies. In this study, we propose a robust machine learning framework that incorporates Explainable AI (XAI) principles to accurately estimate obesity levels and provide insights into the factors influencing the predictions. …”
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Study of Multi-Service Networks and Communication Systems Using Distributed Network Technology in Mountain Areas by Rustamova D. F., Mehdiyeva A. M., Mahmudova Z. A., Abdullaev J., Sapaev B.

“…The FN concept involves the introduction of virtualization technologies, artificial intelligence methods and tools on a corporate network. …”
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Real-time rapid accident detection for optimizing road safety in Bangladesh by Md Shamsul Arefin, Md Ibrahim Shikder Mahin, Farzana Akter Mily

“…Indeed, this is a giant step towards harnessing artificial intelligence potentials for public safety and infrastructural development.…”
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Trends in InsurTech Development in Korea: A News Media Analysis of Key Technologies, Players, and Solutions by Yongsu Lee, Hyosook Yim

“…First, regarding changes in InsurTech technology, blockchain and the Internet of Things initially garnered significant attention, but artificial intelligence and big data later emerged as more critical technologies. …”
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Protocol for a qualitative study to explore acceptability, barriers and facilitators of the implementation of new teleophthalmology technologies between community optometry practic... by Ann Blandford, Konstantinos Balaskas, Rima Hussain, Sarah Abdi, Angela Aristidou, Josie Carmichael, Giulia Cappellaro

“…However, little is known about the acceptability and facilitators and barriers to the implementations of these technologies in real life.Methods and analysis A theoretically informed, qualitative study will explore patients’ and healthcare professionals’ perspectives on teleophthalmology and Artificial Intelligence Decision Support System models of care. …”
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BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce by Muhammad Rizwan Rashid Rana, Asif Nawaz, Saif Ur Rehman, Muhammad Ali Abid, Mubariz Garayevi, Jana Kajanová

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A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer by Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny

“…Abstract Recently, scientists have widely utilized Artificial Intelligence (AI) approaches in intelligent agriculture to increase the productivity of the agriculture sector and overcome a wide range of problems. …”
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Japan’s Economy: Reforms and Growth Strategies by Yana Valeryevna Dyomina, Marina Gamilovna Mazitova

“…However, such areas as the change of business models (to the B2B format), transition to carbon-free technologies, development of the tourism industry, active use of artificial intelligence in all areas, etc. contribute to the growth of the Japanese economy and form the basis of the economic development strategy implemented by the current government…”
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The Time Machine: Future Scenario Generation Through Generative AI Tools by Jan Ferrer i Picó, Michelle Catta-Preta, Alex Trejo Omeñaca, Marc Vidal, Josep Maria Monguet i Fierro

“…This case study aimed to design a digital system for end-users called the Time Machine, which enables a generative artificial intelligence (GAI) system to produce prospective future scenarios based on the input information automatically, proposing hypotheses and prioritising trends to streamline and make the formulation of future scenarios more accessible. …”
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A multigrained preference analysis method for product iterative design incorporating AI-generated review detection by Zhaojing Su, Mei Yang, Qingbo Zhai, Kaiyuan Guo, Yuexin Huang, Yangfan Cong

“…With the surge of generative artificial intelligence (AI) technologies such as ChatGPT, some merchants might exploit them to fabricate deceptive positive reviews, and competitors may also fabricate negative reviews to influence the opinions of consumers and designers. …”
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A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy by Chetan Shetty, S. Seema, B. J. Sowmya, Rajesh Nandalike, S. Supreeth, Dayananda P., Rohith S., Vishwanath Y., Rajeev Ranjan, Venugopal Goud

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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

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Biotechnology breakthroughs: Revolutionizing oral cancer treatment by Safin Hussein, Karzan Qurbani, Haider Hamzah, Seenaa Ali, Sirwan Khalid Ahmed

“…Integration with advanced bioinformatics and artificial intelligence enables precision medicine tailored to individual tumors. …”
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Dynamic Warping Network for Semantic Video Segmentation by Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

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Depression recognition using voice-based pre-training model by Xiangsheng Huang, Fang Wang, Yuan Gao, Yilong Liao, Wenjing Zhang, Li Zhang, Zhenrong Xu

“…Therefore, we propose an artificial intelligence method to effectively identify depression. …”
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Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective by Yun Hu, Joshua Wiley, Lulu Jiang, Xiyi Wang, Ran Yi, Jiehui Xu, Yanyan Liu, Aozhou Weng, Futai Zou, Eun-Ok Im

“…The intervention group received a gender- and generation-sensitive program combining artificial intelligence interactions and humanities skills. …”
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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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A Paradigm for Modeling Infectious Diseases: Assessing Malware Spread in Early-Stage Outbreaks by Egils Ginters, Uga Dumpis, Laura Calvet Liñán, Miquel Angel Piera Eroles, Kawa Nazemi, Andrejs Matvejevs, Mario Arturo Ruiz Estrada

“…As digitalization and artificial intelligence advance, cybersecurity threats intensify, making malware—a type of software installed without authorization to harm users—an increasingly urgent concern. …”
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