Výsledky vyhledávání - "Data Mining for IoT in Mobile Edge computing"

Retraction Note: Simulation of cross-modal image-text retrieval algorithm under convolutional neural network structure and hash method Autor Yang, XianBen, Zhang, Wei

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Feature engineering and deep learning-based intrusion detection framework for securing edge IoT Autor Nasir, Muneeba, Javed, Abdul Rehman, Tariq, Muhammad Adnan, Asim, Muhammad, Baker, Thar

“…Devices belonging to the realm of edge Internet of Things (IoT) are becoming highly susceptible to intrusion attacks. The large-scale development in edge IoT,…”
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A provably secure lightweight authentication protocol in mobile edge computing environments Autor Wu, Tsu-Yang, Meng, Qian, Yang, Lei, Guo, Xinglan, Kumari, Saru

“…Mobile edge computing can meet the needs of users in real time by pushing cloud resources, such as computing, network, and storage, to the edge of a mobile…”
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RETRACTED ARTICLE: Simulation of cross-modal image-text retrieval algorithm under convolutional neural network structure and hash method Autor Yang, XianBen, Zhang, Wei

“…The purpose of this work is to quickly find useful information from the massive image database in view of the images, videos, and other multimedia data…”
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Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction Autor Jiang, Feng, Wang, Gang, He, Peng, Zheng, Chengcheng, Xiao, Zhiyong, Wu, Yue

“…The present work aims to reduce tunnel construction accidents to personnel. The threshold adaptive segmentation algorithm combined with the Canny operator is…”
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Construction and implementation of a college talent cultivation system under deep learning and data mining algorithms Autor Ma, Haizhou, Ding, Aiping

“…This paper aims to improve the quality and efficiency of talent cultivation in colleges and universities and effectively analyze and count the number of…”
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Player target tracking and detection in football game video using edge computing and deep learning Autor Jin, Gang

“…The purpose is to explore the player detection and motion tracking in football game video based on edge computing and deep learning (DL), thus improving the…”
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Prediction of IIoT traffic using a modified whale optimization approach integrated with random forest classifier Autor Ikram, Sumaiya Thaseen, Priya, V., Anbarasu, B., Cheng, Xiaochun, Ghalib, Muhammad Rukunuddin, Shankar, Achyut

“…Several organizations are implementing large-scale Internet of Things (IoT)-based ecosystems, such as Industrial IoT (IIoT). Such systems are vulnerable to new…”
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Application of edge computing combined with deep learning model in the dynamic evolution of network public opinion in emergencies Autor Chen, Min, Zhang, Lili

“…The aim is to clarify the evolution mechanism of Network Public Opinion (NPO) in public emergencies. This work makes up for the insufficient semantic…”
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Influences of mobile edge computing-based service preloading on the early-warning of financial risks Autor Zeng, Hui

“…The present work aims to apply the Internet of Things (IoT) to help enterprises improve financial management, timely discover hidden financial risks, and…”
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Self-learning and explainable deep learning network toward the security of artificial intelligence of things Autor Wu, Bin, He, Sean

“…At present, the security of the Internet of things (IoT) has aroused great concern in artificial intelligence area, Artificial Intelligence of Things (AIoT)…”
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OHUQI: Mining on-shelf high-utility quantitative itemsets Autor Chen, Lili, Gan, Wensheng, Lin, Qi, Huang, Shuqiang, Chen, Chien-Ming

“…Mobile edge computing has brought fresh opportunities and challenges to data science. Utility-driven mining, a recently emerging branch of utility-based data…”
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Design of an IoT DDoS attack prediction system based on data mining technology Autor Huang, Lingfeng

“…Due to the rise of the Internet of things (IoT), the threat to information security extends from general servers to IoT devices. Possible IoT security issues…”
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IoHT-based deep learning controlled robot vehicle for paralyzed patients of smart cities Autor Calp, Muhammed Hanefi, Butuner, Resul, Kose, Utku, Alamri, Atif, Camacho, David

“…Paralysis caused by physical trauma is a common disease today, with approximately 30% of paralysis caused by this trauma. The disease in question both…”
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Applying the blockchain-based deep reinforcement consensus algorithm to the intelligent manufacturing model under internet of things Autor Geng, Tongtong, Du, Yueping

“…“Industry 4.0”, namely intelligent manufacturing (IM), includes intelligent production (IP) and smart factory (SF). The study aims to improve the efficiency of…”
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Application of recurrent neural network in predicting athletes' sports achievement Autor Hou, Jiandong, Tian, Zhisheng

“…The application of recurrent neural network (RNN) is studied in athletes' sports achievement prediction under the internet of things (IoT) environment…”
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A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks Autor Egrioglu, Erol, Grosan, Crina, Bas, Eren

“…In this study, we propose a new genetic algorithm that uses a statistical-based chromosome replacement strategy determined by the empirical distribution of the…”
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FP-DCNN: a parallel optimization algorithm for deep convolutional neural network Autor Le, Ye, Nanehkaran, Y. A., Mwakapesa, Deborah Simon, Zhang, Ruipeng, Yi, Jianbing, Mao, Yimin

“…Deep convolutional neural networks (DCNNs) have been successfully used in many computer visions task. However, with the increasing complexity of the network…”
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TFMD-SDVN: a trust framework for misbehavior detection in the edge of software-defined vehicular network Autor Nayak, Rajendra Prasad, Sethi, Srinivas, Bhoi, Sourav Kumar, Mohapatra, Debasis, Sahoo, Rashmi Ranjan, Sharma, Pradip Kumar, Puthal, Deepak

“…In this paper, a trust framework is proposed for misbehavior detection in software defined vehicular networks (TFMD-SDVN) to detect the correct events in the…”
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Deep convolutional neural networks for bias field correction of brain magnetic resonance images Autor Xu, Yan, Wang, Yuwen, Hu, Shunbo, Du, Yuyue

“…As a low-frequency and smooth signal, the bias field has a certain destructive effect on magnetic resonance (MR) images and is the main obstacle for doctors'…”
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