… training model can be built up more quickly by building part of the neural network hierarchy.
… Deep learning with dense random neural network for detecting attacks against iot-connected …

… of a bigger visualization of IoT (exercise intensity increases-IoT) to solve scientific research
… analytics in the cloud-based smart home with community hierarchy. IEEE Trans. Consum. …

… of network attack intrusion detection, the detection ideas and … Adaptive hierarchical cyber
attack detection and localization in … IoT denial-of-service attack detection and prevention using …

(中) 地電阻和透地雷達(GPR) 方法運用已超過一世紀. 事實上, 最早的地電阻法研究約在1920
年代, 重點探討一維(1D) 模型中不同深度的電導率. 另一方面, GPR 最初是在1930 年代作為評估…

… IoT users to participate in data sharing, a sharing incentive mechanism based on hierarchical
data … An industrial network intrusion detection algorithm based on multi-characteristic data …

… The general architecture, DNN framework, and three layers of abstraction for solving
prediction and anomaly detection problems from sensor-based data and time series have been …

… A regularized cross-layer ladder network for intrusion detection in industrial internet of
things. IEEE Transactions on Industrial Informatics, 19(2): 1747-1755 [DOI: 10.1109/TII.…

… Experimental results have verified that the proposed algorithm can improve the accuracy of
localization compared with existed localization algorithms. Furthermore, the performance of …

: 基于大数据分析的商旅计划决策是掌控差旅动态, 制定差旅规范的重要组成部分. 基于国网商旅
信息数据, 针对出差过程中出行方式的优化选取, 酒店住宿的个人喜好, 构建一种用户画像框架…

… built based on the 3-dimensional tensor. Finally, a joint recommendation algorithm was
designed … Time delay estimation algorithm of narrow band internet of things based on inter-cell …