Technical architecture and strategies for intelligent construction of coal preparation plant by WANG Meijun, TAN Zhanglu, LÜ Hanbing, GUI Yudian

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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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INTELLIGENT TECHNOLOGY FOR SEMANTIC COMPLETENESS ASSESSMENT OF BUSINESS PROCESS MODELS by Oleksandr Rudskyi, Andrii Kopp, Tetiana Goncharenko, Igor Gamayun

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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem by Awaz Ahmad Shaban, Jayson A. Dela Fuente, Merdin Shamal Salih, Resen Ismail Ali

Subjects: “…Swarm Intelligence…”
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Design and implementation of intelligent maintenance system based on blockchain technology by Yang QU, Beili QIAN, Chengyu ZHANG, Yue LONG, Jie JIA

“…In recent years,with the increasingly complex and large-scale evolution of IT systems,objectively higher requirements have been placed on IT operation and maintenance technology.From the perspective of blockchain Raft consensus algorithm technology,the application of blockchain technology in intelligent operation and maintenance system was elaborated.By comparing the blockchain technology with the traditional technology,a new architecture and some reconstruction difficulties to solve the existing problems were provided,to realize a smart operation and maintenance system based on the blockchain technology.…”
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Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling by David Osuna Ruiz, Maite Aznarez‐Sanado, Pilar Herrera‐Plaza, Miguel Beruete

Subjects: “…artificial intelligence…”
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Optimal Route Selection Decision-Making Based on Intelligent Network by Mengshu Zhao, Zhaohui Zhang

“…Modern intelligent network provides a lot of convenience for the development of the society, especially for some practical NP-hard optimal problems. …”
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An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

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Persepsi dan Sikap Siswa Terhadap Penggunaan Artificial Intelligence by Kurniahtunnisa, Maria Yasinta Manuel, Mellyatul Aini, Tika Putri Agustina

Subjects: “…Artificial Intelligence…”
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Facial dominance overrides gender in children’s stereotypes about intelligence by Ryno Kruger, Stella F. Lourenco

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Operation Optimization of Microgrid System Based on Intelligent System Model by Jian Kang

“…In order to improve the operation optimization effect of the microgrid system, this paper combines the intelligent system model to construct the operation optimization model of the microgrid system. …”
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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model by Hui Chen, Shenghua Xiong, Xuan Ren

“…In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs; this artificial intelligence model achieved more powerful capacity for classification compared to the PCLR (principal component logistic regression) model. …”
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Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN by Zhen Tang, Xiaobin Fu, Pingping Xiao

“…Employing the deep neural network (DNN), an OP intelligent prediction algorithm is proposed. Then, the numerical simulations are conducted to confirm the ASEP and OP performance analysis. …”
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Ioanna Iordanou, Venice’s Secret Service: Organizing Intelligence in the Renaissance by Pierre Nevejans

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Artificial intelligence techniques for stability analysis in modern power systems by Jiashu Fang, Chongru Liu

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Emotional Intelligence in Children with Severe Sleep-Related Breathing Disorders by Francesca Felicia Operto, Francesco Precenzano, Ilaria Bitetti, Valentina Lanzara, Maria Lorena Fontana, Grazia Maria Giovanna Pastorino, Marco Carotenuto, Francesco Pisani, Anna Nunzia Polito, Daniela Smirni, Michele Roccella

“…The aim of the study is to evaluate the difference in emotional intelligence skills among children with OSAS and healthy subjects (nOSAS). …”
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Engineering Safety Management System Based on Robot Intelligent Monitoring by Yanli Wang

“…In order to improve the effect of engineering safety management, this paper combines intelligent monitoring technology to construct a monitoring robot system. …”
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APPLICATION OF ARTIFICIAL INTELLIGENCE FOR IMPROVING SITUATIONAL TRAINING OF CYBERSECURITY SPECIALISTS by Yurii V. Shchavinsky, Tetiana M. Muzhanova, Yuriy M. Yakymenko, Mykhailo M. Zaporozhchenko

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Automatic Lane Line Detection System Based on Artificial Intelligence by Gaoqing Ji, Yunchang Zheng

“…As the need for an intelligent transport system is growing rapidly, lane line detection has gained a lot of attention recently. …”
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Healthcare ethics and artificial intelligence: a UK doctor survey by Søren Holm, Daniel Joseph Warrington

“…Objectives To survey UK doctors on their uses of artificial intelligence (AI) and of their views on the ethics and regulation of AI in healthcare.Design Anonymous cross-sectional e-survey.Setting An online survey of UK General Medical Council (GMC) registered doctors.Participants 272 individuals.Main outcome measures Likert-scale responses to questions covering personal use of AI, concerns about AI, requirements for introduction of AI and views on necessary AI regulation in healthcare.Results Most doctors rated themselves as slightly or moderately knowledgeable about AI, with men rating their knowledge levels higher than women. …”
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