Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching by Changfeng Cao, Wenchuan Zhang, Hua Yang, Dan Ruan

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Satellite Observations Reveal Declining Diatom Concentrations in the Three Gorges Reservoir: The Impacts of Dam Construction and Local Climate by Menglan Gan, Lei Feng, Jingan Shao, Li Feng, Yao Wang, Meiling Liu, Ling Wu, Botian Zhou

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Barriers and facilitators to the implementation and adoption of computerised clinical decision support systems: an umbrella review protocol by Anna Katharina Böhm-Hustede, Johanna Sophie Lubasch, Anna Thalea Hoogestraat, Eike Buhr, Antje Wulff

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Parking Permit Scheme for Morning Commute considering Parking Search by Duo Xu, Huijun Sun

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Intelligence artificielle, données volumineuses et conservation de la biodiversité. by Jérôme Duberry

“…Artificial intelligence (AI) and big data enable a better understanding of the planet and its inhabitants. …”
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Managing Air Traffic Flow With Link Flow Rate Control: A Pure Integer Programming Model With More Accurate Link Connection Modeling by Han Zhong, Lai Wei, Wei Guan, Wenyi Zhang

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A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network by Hao Liao, Alexandre Vidmer

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Load forecasting based on knowledge flow and transfer learning by Wenjun ZHU, Sining WANG, Xiaoxin GAO, Qian ZHENG

“…In all things connected, comprehensive perception, intelligent decision-making information era of big data, in the information acquisition of big data and a large amount of signal processing, there are still large amount of data redundancy, calculation and the shortcoming of high cost, not in time, and no marked.The transfer learning was applied, and the knowledge flow system based on the weight impact factor for information fusion was integrated to assist the analysis and simplify the calculation for the IoT sensing system.The knowledge flow mode of transfer learning and data fusion was adopted in the IoT sensing system, and the simulation calculation of short-term load prediction was made based on the partial data of regional power consumption.The influencing factors of users’ electricity consumption behavior were analyzed, and the optimal weight distribution of influencing factors was obtained through training, so as to predict the power consumption rate.The results show that in this way, it can clearly identify the characteristics of electricity consumption behavior, and predict the energy consumption according to the characteristics of electricity consumption.…”
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Optimal Selling Strategies under Regime-Switching Market Environment with Finite Expiry by Jie Xing, Taoshun He

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Abnormal Capacitance Increasing at Elevated Temperature in Tantalum Capacitors with PEDOT:PSS Electrodes by Qifeng Pan, Qiao Liu, Yuanjiang Yang, Dongbin Tian

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Multitier ensemble classifiers for malicious network traffic detection by Jie WANG, Lili YANG, Min YANG

“…A malicious network traffic detection method based on multi-level distributed ensemble classifier was proposed for the problem that the attack model was not trained accurately due to the lack of some samples of attack steps for detecting attack in the current network big data environment,as well as the deficiency of the existing ensemble classifier in the construction of multilevel classifier.The dataset was first preprocessed and aggregated into different clusters,then noise processing on each cluster was performed,and then a multi-level distributed ensemble classifier,MLDE,was built to detect network malicious traffic.In the MLDE ensemble framework the base classifier was used at the bottom,while the non-bottom different ensemble classifiers were used.The framework was simple to be built.In the framework,big data sets were concurrently processed,and the size of ensemble classifier was adjusted according to the size of data sets.The experimental results show that the AUC value can reach 0.999 when MLDE base users random forest was used in the first layer，bagging was used in the second layer and AdaBoost classifier was used in the third layer.…”
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An Audit Risk Model Based on Improved BP Neural Network Data Mining Algorithm by Wenjia Niu, Lihua Zhao, Peiyao Jia, Jiankun Chu

“…Effective identification of audit risks can help auditors plan their audit work rationally and issue correct audit opinions. In the era of big data and the Internet, enterprises generate a large amount of data in their daily operations. …”
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Application of BIM+GIS in Water Resources Allocation Project of the Pearl River Delta by DU Canyang, DENG Peng, ZHANG Zhaobo, ZHU Xiaobin

“…On this basis,new information technologies such as BIM,GIS,electronic signature,cloud computing,big data,Internet of Things (IoT),artificial intelligence (AI),and mobile Internet are applied to build a whole-life-cycle BIM+GIS system platform by integrated innovation and collaborative sharing. …”
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Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm by Laicun Li, Rulin Bai

“…In order to solve the problem of complex event pattern in big data and strengthen research on key technologies of the Internet of Things and computer time matching algorithms, this paper studies the problem based on Hadoop clustering algorithm. …”
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High-resolution mapping of global winter-triticeae crops using a sample-free identification method by Y. Fu, X. Chen, C. Song, X. Huang, J. Dong, Q. Peng, W. Yuan

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Development and validation of a nomogram for predicting immune-mediated colitis in lung cancer patients treated with immune checkpoint inhibitors: a retrospective cohort study in C... by Qianjie Xu, Xiaosheng Li, Yuliang Yuan, Guangzhong Liang, Zuhai Hu, Wei Zhang, Ying Wang, Haike Lei

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Exploring the decline in health index of the Qarhan salt lake region in Qinghai Province, China: A 40-year assessment by Pengfei Ji, Qian Shen, Ru Wang, Yue Yao, Bing Zhang, Wenting Xu, Yuting Zhang, Wenqi Kou, Wenxin Li

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Exploring the neural mechanisms underlying cooperation and competition behavior: Insights from stereo-electroencephalography hyperscanning by Xiaojun Qiao, Rui Li, Huimin Huang, Yang Hong, Xiaoran Li, Ziyue Li, Siyi Chen, Lizhi Yang, ShengTeng Ong, Yi Yao, Fengpeng Wang, Xiaobin Zhang, Kao-Min Lin, Yongna Xiao, Mingxiang Weng, Junsong Zhang

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Data-Driven Analytics for China’s Overseas Construction Projects in the Contexts of the Maritime Silk Road and Global Maritime Network by Zhi-Hua Hu

“…This study developed a maritime big data system to analyze global interactions upon the global maritime network generated from the system. …”
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Enhancing Energy Efficiency in Photovoltaic Systems through Smart Technology Integration: Innovations and Future Perspectives by Lin Caiwei

“…As demand for renewable energy rises, innovations in smart artificial intelligence (AI), the Internet of Things (IoT), and big data analytics are being utilized to enhance the efficiency and reliability of PV systems. …”
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