Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

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Noise Data Removal and Image Restoration Based on Partial Differential Equation in Sports Image Recognition Technology by Shi Junmei

“…Processing, analyzing, and repairing graphics and images through computer and big data technology are the main methods to obtain image data and repair image data in complex environment. …”
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Sentiment Analysis in Arabic Text and Emoji Using Deep Learning Methods by Suhad Nasrallah Taraf, Ahmed T. Sadiq

“…Arabic and OMCD survey big data were integrated with data from Twitter to inform this study. …”
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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

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Survey on data security and privacy-preserving for the research of edge computing by Jiale ZHANG, Yanchao ZHAO, Bing CHEN, Feng HU, Kun ZHU

“…With the rapid development and extensive application of the Internet of things (IoT),big data and 5G network architecture,the massive data generated by the edge equipment of the network and the real-time service requirements are far beyond the capacity if the traditional cloud computing.To solve such dilemma,the edge computing which deploys the cloud services in the edge network has envisioned to be the dominant cloud service paradigm in the era of IoT.Meanwhile,the unique features of edge computing,such as content perception,real-time computing,parallel processing and etc.…”
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On Development of Neutrosophic Cubic Graphs with Applications in Decision Sciences by Fazeelat Sultana, Muhammad Gulistan, Peide Liu, Mumtaz Ali, Zahid Khan, Mohammed M. Al-Shamiri, Muhammad Azhar

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Cellular functions and biomedical applications of circular RNAs by Zhang Zheyu, Wang Zefeng

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Application and development of Internet of things in medical service by Zhibiao WANG, Peng RAN, Qiao CHEN

“…With the continuous development of information technology,such technologies as the Internet of things,sensors,mobile terminals and big data are being fully used in medical services.Intelligent medical care has also become a new goal of hospital information construction.The emergence and development of Internet of things technology were analyzed,the importance of this technology in the field of medical and health construction were summarized,which helped to improve the efficiency and quality of medical process services,improved the level of comprehensive hospital management.Two aspects were mainly elaborated:one was the intelligent medical system based on the Internet of things,which provided medical and health interactive services to users,and promoted the transformation of disease from therapeutic intervention to preventive intervention; the other was the intelligent medical system based on the Internet of things,promoted cloud computing and real-time transmission and sharing of large data in medical information.The application of this technology improved the utilization of medical resourced,reduced the cost of medical treatment,and changed the traditional mode of medical treatment.It is foreseeable that intelligent medical services based on Internet of things will become an indispensable part of people’s healthy life.…”
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Analysis of Vibration Control of Nonlinear Beam Using a Time-Delayed PPF Controller by Yueli Chen, Juhong Ge

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A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems by Liqian Zhang, Xueliang Fu, Honghui Li

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Distributed data storage and transmission for space Internet of things by Qinyu ZHANG, Shushi GU, Ye WANG, Jiayin XUE

“…Based on the concepts and related techniques of Internet of things (IoT),tracking the development tendency of the satellite IoT and LEO constellation communication system abroad,and the deployment of the integrated satellite-terrestrial information network in China,the concept of space Internet of things (Space IoT) with its framework and main characteristics was proposed.Space IoT has the different concept compared to the traditional IoT,not just using the relay satellite to implement remote machine-to-machine communication.Space IoT is a ubiquitous IoT system under the integrated satellite-terrestrial information network architecture,and an expansion of the terrestrial IoT in the global three-dimensional world,and a service and application platform of multiple information technologies.With the recently era of big data,the space IoT has to face some data storage and transmission problems,such as excessive system load,data loss,frequent link interruption,high energy consumption,etc.Establishing a space-oriented IoT integrated distributed storage and transmission system was to meet the requirements of security guarantee and cross-domain interconnection with massive information businesses.Development status of related technologies were illustrated.At last,the prospect and thought of the future research of space Internet of things were presented.…”
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Planetary Sciences, Geodynamics, Impacts, Mass Extinctions, and Evolution: Developments and Interconnections by Jaime Urrutia-Fucugauchi, Ligia Pérez-Cruz

“…Research frontiers in geophysics are being expanded, with development of new fields resulting from technological advances such as the Earth observation satellite network, global positioning system, high pressure-temperature physics, tomographic methods, and big data computing. Planetary missions and enhanced exoplanets detection capabilities, with discovery of a wide range of exoplanets and multiple systems, have renewed attention to models of planetary system formation and planet’s characteristics, Earth’s interior, and geodynamics, highlighting the need to better understand the Earth system, processes, and spatio-temporal scales. …”
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Heuristic Algorithm for Cross-Platform Credit Risk Transmission Based on Hybrid Strategies by Zhang Xiaodong, Shen Hong, Wang Tao, Li Yazhi

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A Correctness Checking Approach for Collaborative Business Processes in the Cloud by Qi Mo, Yuqi Wang, Jixiang Xiang, Tong Li

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Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…This method starts from petrochemical big data and consists of three parts: fault dynamic knowledge graph construction, instrument data sliding fault-tolerant filtering, and the fusion and reasoning of fault dynamic knowledge graph and instrument data variation monitoring. …”
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A Modified Fully Convolutional Network for Crack Damage Identification Compared with Conventional Methods by Meng Meng, Kun Zhu, Keqin Chen, Hang Qu

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Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding by Dong-wei Xu, Yong-dong Wang, Li-min Jia, Gui-jun Zhang, Hai-feng Guo

“…Wide-ranging applications of road traffic detection technology in road traffic state data acquisition have introduced new challenges for transportation and storage of road traffic big data. In this paper, a compression method for road traffic spatial data based on LZW encoding is proposed. …”
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Howard S. Becker - Kanıt by Engin Durukan Abdulhakimoğulları

“…Günümüzde anket, mülakat, doküman incelemesi, kurumların tuttuğu istatistiki veriler gibi geleneksel veri toplama yöntemleri ve kaynaklarının yanı sıra büyük veri (big data) olarak adlandırılan internet temelli yeni veri kaynakları da bulunmaktadır. …”
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Graph clustering method based on structure entropy constraints by Zhiying ZHANG, Youliang TIAN

“…Aiming at the problem of how to decode the true structure of the network from the network embedded in the large-scale noise structure at the open information sharing platform centered on big data, and furthermore accurate mining results can be obtained in the mining related information process, the method of clustering based on structure entropy was proposed to realize divide the correlation degree of nodes in the graph.A solution algorithm for calculating two-dimensional structural information and a module division algorithm based on the principle of entropy reduction were proposed to divide the nodes in the graph structure to obtain corresponding modules.The K-dimensional structural information algorithm was used to further divide the divided modules to realize the clustering of nodes in the graph structure.An example analysis shows that the proposed graph clustering method can not only reflect the true structure of the graph structure, but also effectively mine the degree of association between nodes in the graph structure.At the same time, the other three clustering schemes are compared, and the experiment shows that this scheme has higher efficiency in execution time and guarantees the reliability of the clustering results.…”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

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