Artificial intelligence in rheumatology research: what is it good for? by Diego Benavent, José Miguel Sequí-Sabater

“…Artificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug discovery and clinical trials. …”
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An Innovative Collaboration Mode for the Intelligent Terminal Market by Jie Zheng

Subjects: “…intelligent terminal…”
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Home Dialysis Prediction Using Artificial Intelligence by Caitlin K. Monaghan, PhD, Joanna Willetts, MS, Hao Han, MS, Sheetal Chaudhuri, PhD, Linda H. Ficociello, DSc, Michael A. Kraus, MD, Harold E. Giles, MD, Len Usvyat, PhD, Joseph Turk, MBA

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Review on artificial intelligence chip technology system by Yuxia SHI

Subjects: “…artificial intelligence…”
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Security of intelligent edge computing:a survey by Xingshuo AN, Guixing CAO, Li MIAO, Shubo REN, Fuhong LIN

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Research on security threat of intelligent connected vehicle by Yijie XUN, Jiajia LIU, Jing ZHAO

Subjects: “…intelligent connected vehicle…”
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Cloud native intelligent operation and maintenance technology by Long XUE, Gang LU, Qi ZHOU, Huiyan ZHANG, Tingjun WAN

“…Relying on the advantages of simple and fast applications,easy deployment of applications,and on-demand scaling of running applications,cloud native technology has been rapidly promoted.However,with the application of cloud native,the system architecture has become more complex and the scale of resources has become larger,and there is an urgent need for more intelligent operation and maintenance.Using intelligent operation and maintenance can better assist cloud-native application development,reduce operation and maintenance costs,and improve service quality.The application scenarios,key points,classic practices and existing problems of intelligent operation and maintenance were analyzed,and a cloud-native intelligent operation and maintenance architecture were proposed,and the main principles of the three scenarios:the trend prediction,data anomaly detection and fault location diagnosing in the core service algorithm platform were introduced in detail,and finally the future of intelligent operation and maintenance were looked forward.…”
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Artificial Intelligence in the development strategy of contemporary China by CÉLIO HIRATUKA, ANTÔNIO CARLOS DIEGUES

Subjects: “…Artificial Intelligence…”
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RETRACTED: The use of artificial intelligence to diagnose the disease by Suprun Elena, Tynchenko Vadim, Khramkov Vladimir, Kovalev Georgy, Soloveva Tatiana

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STABILITY OF DEVELOPMENT OF FUTURE PROFESSIONALS’ EMOTIONAL INTELLIGENCE by A. M. Beloborodov, E. E. Symaniuk

Subjects: “…emotional intelligence…”
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Intelligent imaging technology applications in multidisciplinary hospitals by Ke Fan, Lei Yang, Fei Ren, Xueyuan Zhang, Bo Liu, Ze Zhao, Jianwen Gu, Yuanyuan Ji

“…With the rapid development of artificial intelligence technology, its applications in medical imaging have become increasingly extensive. …”
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OPTIMIZATION OF TREATMENTS IN IMPLANTOLOGY BASED ON ARTIFICIAL INTELLIGENCE by Vlad-Ștefan Proca, Mădălina Pavel, Babușca Răzvan, Tibeica Andreea, Stratulat(Mihai) Dana Nicoleta, Norina Forna

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Artificial intelligence in orthopaedics: A scoping review. by Simon J Federer, Gareth G Jones

“…There is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise research in this field, in order to understand the extent, range and nature of this work, and act as springboard to stimulate future studies. …”
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Possibilities of Using Artificial Intelligence in Security Analysis by Maciej Norbert Ciesielski

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Artificial Intelligence (AI) for Crop Yield Forecasting by Clyde Fraisse, Yiannis Ampatzidis, Sandra Guzmán, Wonsuk Lee, Christopher Martinez, Sanjay Shukla, Aditya Singh, Ziwen Yu

“… This publication aims to introduce readers to recent crop yield forecasting approaches based on artificial intelligence (AI) and to provide examples of how AI can potentially improve yield forecasting at the field and regional levels. …”
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Intelligent Excavation Technologies for Satellite Spectrum Signals by Qiulin LYU, Xiaojin DING, Gengxin ZHANG

“…With the construction of spatial information network, the available spectrum resources are increasingly scarce, and the electromagnetic environment is becoming more and more complex, resulting a more prominent challenge of realizing the safe control of the global electromagnetic.Therefore, the sensing method of electromagnetic spectrum occupation state was studied, a time convolution neural network to sense the spectrum occupation state was constructed.To mine abnormal spectrum data, neural network was used to automatically detect abnormal spectrum, such as fl uctuation noise fl oor, spectrum grass and large bandwidth.The spectrum parameter extraction method was explored.Considering the large propagation delay between the spectrum-sensing satellite and its gateway, a neural network was constructed to predicted the spectrum occupation state.The perception, anomaly, parameters and prediction results of satellite spectrum signal were visualized.The preliminary evaluation results showed that the designed satellite-spectrum intelligent mining technologies could not only improved the sensing ability of spectrum situation, but also eff ectively improved the utilization of spectrum resources.…”
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Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble by Qinghong Wang, Tianxing Ma, Shengqi Yang, Fei Yan, Jiang Zhao

“…This research is developing a smart model to predict rockburst levels by combining advanced swarm intelligence with a hybrid ensemble method that uses multiple strategies and classifiers for soft voting. …”
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Innovative intelligence: a three-component vector model by Vladimir Chernoles, Dinara Khudaynazarova

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Improvement scheme of OSS intelligence capability for autonomous network by ZHAO Yongjian, ZHAO Zhanchun, ZHANG Ding, LI Shanshan, LIU Zhifei

“…It is an industry consensus to promote network intelligent operation with autonomous networks as the driving force. …”
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The Effects O Artificial Intelligence And Robotic Systems On Librarianship by Müslüm Yıldız, Banu Fulya Yıldırım

“…In this study, the possible effects of artificial intelligence and robotic systems on the profession of librarianship/information and document management were evaluated considering the findings of research conducted at Oxford University in 2017 and it was emphasized that in the near future, the only way to continue in this profession would be to keep the professional knowledge up to date as well as to follow the technological developments in areas such as computers, communication, and the internet.…”
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