Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …”
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A Networked Intelligent Elderly Care Model Based on Nursing Robots to Achieve Healthy Aging by Wenting Ji, Ruzhen Luo, Yumei Sun, Maiping Yang, Yueheng Liu, Hua Chen, Dongmei Lin, Ziyi Su, Guangming Tao, Diansheng Chen, Hongyu Sun

“…Given this background, a networked intelligent elderly care model for nursing robots, which integrates technologies such as big data, artificial intelligence, the Internet of Things, and nursing robotics, is proposed. …”
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The Effect of Chatbot Usage on Customer Satisfaction: A Quantitative Study of Shopee, Tokopedia, and Lazada Using SmartPLS by Mira Afrina, Naretha Kawadha, Ardina Ariani, Mukhlis Febriady Febriady

“…The findings of this research should reveal new strategies for leveraging chatbot technology to better satisfy customers in e-commerce environments, as well as lay the groundwork for further research on how artificial intelligence can shape customer experiences in the future.…”
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A Comprehensive Analysis of a Social Intelligence Dataset and Response Tendencies Between Large Language Models (LLMs) and Humans by Erika Mori, Yue Qiu, Hirokatsu Kataoka, Yoshimitsu Aoki

“…Social intelligence plays a crucial role in facilitating natural interactions and seamless communication between humans and Artificial Intelligence (AI). To assess AI’s ability to understand human interactions and the components necessary for such comprehension, datasets like Social-IQ have been developed. …”
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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

“…The advancement of hybrid deterioration models, such as integrating artificial intelligence (AI) with stochastic and physics-based approaches, has proven to be a powerful strategy, combining the strengths of each method to deliver enhanced condition predictions. …”
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Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment by Donghoon Shin, Jinhee Myoung, Woongsun Jeon, Kang-Moon Park

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The Effect of Effective Factors on Consumer Behavior in Iran\'s Best Shopping Centers Based on the Principles of Urban Management by mahmood samadi, mahmoud nooraei, Mohammad mehdi Mozaffari, babak haji karimi

“…The method of selecting shopping centers based on artificial intelligence studies has been done through genetic algorithm. …”
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Application, Challenges, and Prospects of Large Language Model in the Field of Traditional Chinese Medicine by CHEN Zijia, PENG Wenxi, ZHANG Dezheng, LIU Xin, WANG Zhifei

“…With the rapid development of the interdisciplinary area of artificial intelligence and medicine, large language model (LLM) has been widely used in the fields such as diagnosis and treatment, medicine, and healthcare. …”
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A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks by Pedro Pereira Rodrigues, João Araújo, João Gama, Luís Lopes

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A Small Target Detection Method Based on the Improved FCN Model by Guofeng Ma

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Portable solutions for plant pathogen diagnostics: development, usage, and future potential by Anurag Yadav, Kusum Yadav

“…Furthermore, the integration of these devices with digital technologies, including the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), is transforming disease surveillance and management. …”
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Applying virtual reality to teach the software development process to novice software engineers by Ulas Gulec, Murat Yilmaz, Veysi Isler, Paul M. Clarke

“…In the VR‐SODEF, the participant takes on the role of a novice software developer being recruited into a virtual software development organisation who should work alongside five virtual characters, played by artificial intelligence. This exclusive viewpoint draws participants from the 2D separation of the classical experience and virtually into the world of the software development itself. …”
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Conceptual Structure and Trend Topics of the Education and Information Technologies Journal: A bibliometrics analysis by Yousef Mahdavinasab, Davoud Haseli

“…The trend topics map highlights the transition from collaborative learning to self-regulated learning, the increasing focus on online learning, the emergence of computational thinking and artificial intelligence as prominent research areas, and the impact of the COVID-19 pandemic on education. …”
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Experience in applying large language models to analyse sociological data obtained as a result of interviews on students’ perception of entrepreneurial activity by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

“…Modern society is experiencing a digital transformation of various spheres associated with the development of artificial intelligence and big data. The introduction of large language models (hereinafter referred to as LLM) into scientific research opens new opportunities, but also raises a number of questions, which makes it relevant to study the peculiarities of their application for qualitative data analysis in sociology. …”
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ECP-IEM: Enhancing seasonal crop productivity with deep integrated models. by Ghulam Mustafa, Muhammad Ali Moazzam, Asif Nawaz, Tariq Ali, Deema Mohammed Alsekait, Ahmed Saleh Alattas, Diaa Salama AbdElminaam

“…With the increasing population and global warming, addressing food security has become a priority, so accurate yield forecasting is very important. Artificial Intelligence (AI) has increased the yield accuracy significantly. …”
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Search for new dimensions of the educational space: digital and non-digital vectors of development by T. Yu. Krotenko

“…This is important for solving the problem of preserving anthropic qualities, which is especially prominent in the course of the chaotic development of learning systems that integrate human nature and artificial intelligence.   The scientific novelty of the work is made up of conclusions about research methods that are most suitable for the formation of new psychological and pedagogical knowledge about permanent education.…”
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Species determination using AI machine-learning algorithms: Hebeloma as a case study by Peter Bartlett, Ursula Eberhardt, Nicole Schütz, Henry J. Beker

“…Based on these data an Artificial Intelligence (AI) machine-learning species identifier has been developed that takes as input locality data and a small number of the morphological parameters. …”
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Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

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Requirements for developing the roles of information specialists in public libraries in light of the transformation of the knowledge economy to achieve the goals of sustainable dev... by عاليه الهيف

“…There is also a need for more interest in offering non-stereotypical and continuous training related to “advanced programming skills”, “database and management skills”, “the ability to deal with artificial intelligence techniques ,use modern technologies , analyzing and producing systems for dealing with big data". …”
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Research on multi-source microstructure image recognition of foam ceramics using convolutional network combine with frequency domain by Yi Yin, Jianwei Pan, Fang Wang, Peihang Li, Zhen Cai, Xin Xu

“…To address this, a novel artificial intelligence recognition model, FD-Conv, is proposed, which combines the global information processing capabilities of Transformers with the local feature extraction strengths of convolutional neural networks. …”
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