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Linjing Hu, Jiachen Wang, Zhaoze Guo and Tengda Zheng
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and ?noisy? data. T...
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Juan D. Borrero and Jesus Mariscal
Efforts across diverse domains like economics, energy, and agronomy have focused on developing predictive models for time series data. A spectrum of techniques, spanning from elementary linear models to intricate neural networks and machine learning algo...
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Suqing Yan, Chunping Wu, Xiaonan Luo, Yuanfa Ji and Jianming Xiao
Accurate indoor localization estimation has important social and commercial values, such as indoor location services and pedestrian retention times. Acoustic-based methods can achieve high localization accuracies in specific scenarios with special equipm...
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Zhiyi Wang, Chuanzhi Chen, Jinbao Chen and Guang Zheng
In this paper, a novel 3D (three-dimensional) soft-landing dynamic theoretical model of a legged lander is developed in detail as well as its numerical solution process. The six degrees of freedom motion (6-DOF) of the base model of the lander with mass ...
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Elnaz Ghanbary Kalajahi, Mehran Mahboubkhah and Ahmad Barari
Closed-loop manufacturing is crucial in Industry 4.0, since it provides an online detection?correction cycle to optimize the production line by using the live data provided from the product being manufactured. By integrating the inspection system and man...
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