Výsledky vyhľadávania - "S.I.: Evolutionary Computation based Methods and Applications for Data Processing"

Research on sheep face recognition algorithm based on improved AlexNet model Autor Zhang, Cheng, Zhang, Hao, Tian, Fang, Zhou, Yong, Zhao, Shuhong, Du, Xiaoyong

“…To better solve the problems of the intensive and large-scale sheep farm, such as difficult basic data collection and individual performance discrimination,…”
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A new multi-sensor fire detection method based on LSTM networks with environmental information fusion Autor Liu, Pingshan, Xiang, Pingchuan, Lu, Dianjie

“…Multi-sensor fire detection has been widely used, which allows monitoring multiple environmental indicators. However, most multi-sensor detection methods…”
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Dynamic model averaging-based procurement optimization of prefabricated components Autor Du, Juan, Li, Xiufang, Sugumaran, Vijayan, Hu, Yuqing, Xue, Yan

“…With the promotion of construction industrialization, the prefabricated construction market is becoming increasingly competitive. The raw material cost of…”
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A graph-based collaborative filtering algorithm combining implicit user preference and explicit time-related feedback Autor Suganeshwari, G., Syed Ibrahim Peer Mohamed, Syed Ibrahim, Sugumaran, Vijayan

“…Collaborative filtering is one of the most extensively utilized recommendation algorithms in the e-commerce industry. It typically relies either on implicit or…”
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Exploration of English speech translation recognition based on the LSTM RNN algorithm Autor Yuan, Qiwei, Dai, Yu, Li, Guangming

“…In today’s information society, the demand for intelligence is increasing daily. English speech translation recognition technology based on the LSTM (long…”
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Comparative analysis of urban underground public space and user walking paths based on the social network model Autor Jia, Xinming, Yan, Bo, Fang, Ling, Wang, Jinyao, Pang, Simai, Liu, Yang, Xu, Minyao

“…The operation status of the underground public space pedestrian system is of varying quality, but decision-makers and operators have no way of knowing its…”
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Cognitive spectrum sensing algorithm based on an RBF neural network and machine learning Autor Yang, Shi, Tong, Chaoran

“…After 70 years of intricate development, machine learning, represented by deep learning, is based on the multilevel structure of the human brain and the…”
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Financial model construction of a cross-border e-commerce platform based on machine learning Autor Zhou, Kan

“…With the development of informatization, traditional industries have been seriously impacted by cross-border e-commerce (CBEC), and the financial management…”
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Modeling the gaze point distribution to assist eye-based target selection in head-mounted displays Autor Lei, Ting, Chen, Jing, Chen, Jixiang, Liu, Bo

“…Due to its natural and fast characteristics, eye tracking, as a novel input modality, has been widely used in head-mounted displays for interaction. However,…”
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Ontology construction and mapping of multi-source heterogeneous data based on hybrid neural network and autoencoder Autor Zhao, Wenbin, Fu, Zijian, Fan, Tongrang, Wang, Jiaqi

“…In big data era, multi-source heterogeneous data become the biggest obstacle to data sharing due to its high dimension and inconsistent structure. Using text…”
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Enterprise innovation evaluation method based on swarm optimization algorithm and artificial neural network Autor Zhang, Qiansha, Zeng, Xiaoxia, Lo, Wei, Fan, Binbin

“…Promoting the development of enterprises is a common task of all countries in the world, and the government has always taken promoting enterprise development…”
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Identification of Mild Cognitive Impairment by Machine Learning Algorithm Autor Li, Haozhen

“…With the aging of the population, China has a large population base. The number of people suffering from mild cognitive impairment has gradually increased and…”
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X-ray PCB defect automatic diagnosis algorithm based on deep learning and artificial intelligence Autor Liu, Yaojun, Wang, Ping, Liu, Jingjing, Liu, Chuanyang

“…As a main electronic material, X-ray circuits are widely used in various electronic devices, and their quality has an important impact on the overall quality…”
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CoGCN: co-occurring item-aware GCN for recommendation Autor Zhao, Xinxiao, Liu, Fan, Liu, Hao, Xu, Mingzhu, Tang, Haoyu, Li, Xueqing, Hu, Yupeng

“…Graph convolution networks (GCNs) play an increasingly vital role in recommender systems, due to their remarkable relation modeling and representation…”
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Intelligent recognition of audio scene based on hybrid attention and parallel deep feature processing under genetic evolutionary computing Autor Li, Danyang, Jia, Chunlei

“…Intelligent recognition of audio scene aims to analyze the environment information of audio signal with computer, which has important research significance…”
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Localization algorithm for anisotropic wireless sensor networks based on the adaptive chaotic slime mold algorithm Autor Peng, Duo, Gao, Yuwei

“…Considering the poor localization accuracy of anisotropic localization algorithms, an adaptive chaotic slime mold algorithm called TSMA is proposed to optimize…”
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Heterogeneous multi-task smoking behavior recognition model combined with attention Autor Qiu, Xiaotian, Kang, Xinchen, Zhang, Yang, Yao, Dengfeng, Li, Wanmin, Li, Li

“…The traditional behavior recognition model has the disadvantage that it can’t get the internal relationship between similar behaviors, such as smoking, pen,…”
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Investigation of the aerodynamic optimization design of fluid machinery based on machine learning Autor Fang, Ganlin, Yang, Ruifeng, Shen, Hang, Wang, Huaishan, Han, Zhipeng, Li, Guoliang

“…Fluid machinery plays an important role in national pillar industries such as national defense, military, aerospace, heavy industry, energy and power and is…”
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Exploration of a network security situational awareness model based on multisource data fusion Autor Li, Xingguo, Zhong, Yu

“…With the continuous expansion of the network scale, network technology is also constantly developing. However, with the continuous deterioration of the…”
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Data-Driven full waveform inversion for ultrasonic bone quantitative imaging Autor Suo, Meng, Zhang, Dong, Yang, Haiqi, Yang, Yan

“…Full waveform inversion (FWI) has potential for quantitative ultrasound bone imaging, which can provide detailed estimation of bone internal structure. The…”
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