Multiscale hierarchical composite with extremely specific damping performance via bottom-up synergistic enhancement strategy by Haibo Feng, Chenhao Xu, Linghua Xiao, Li Li

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Energy management in autonomous hybrid electric vehicles: A review by Abid H., Kissaoui M., Raihani A., Zaggaf M.H.

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An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control by Fei Zhao, Liping Fu, Xiaofeng Pan, Ming Zhong, Tae J. Kwon

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Analysis of bulletproof performance of structurally optimized ceramic composite armor through numerical simulation and live fire test by Zhiyong Chen, Jian Hou, Fei Gao, Sier Deng, Yingqiang Xu, Jing Qin, Shuaishuai Cui, Jun-Hyun Kim

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Effect Improved for High-Dimensional and Unbalanced Data Anomaly Detection Model Based on KNN-SMOTE-LSTM by Fuguang Bao, Yongqiang Wu, Zhaogang Li, Yongzhao Li, Lili Liu, Guanyu Chen

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A Comparator-Less Buck Converter with Fast Transient Response Using a Reactive Ramp Generator by Young-Kyu Kim, Chung-Hee Jang, Dong-Hyun Shin, Kwang-Hyun Baek

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Shale-pore Semantic Segmentation Network Based on Pseudo-labeling by Chenzhang WANG, Yanfei WANG, Zhijing BAI

“…Shale pore structures contribute significantly to shale gas reservoirs, with their shape, size, connectivity, and development directly affecting storage. To achieve intelligent recognition and classification of shale pores, this study proposes a shale-pore semantic segmentation network based on a pseudo-label method. …”
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Multi-modal framework for battery state of health evaluation using open-source electric vehicle data by Hongao Liu, Chang Li, Xiaosong Hu, Jinwen Li, Kai Zhang, Yang Xie, Ranglei Wu, Ziyou Song

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Computation and Experimentation on Astronaut Somatosensory Responses in a Lunar Environment by Qihang Yu, Dianliang Wu, Shunzhou Huang, Hanzhong Xu, Yue Zhao

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Study and Verification of a Fuzzy-Following Energy Management Strategy for Hybrid Tractors by Xin Zhao, Guangpeng Zhang, Jianhua Wang, Zhanpo Xue, Mengnan Liu, Yibin Liu

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Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification by Qingshan She, Haitao Gan, Yuliang Ma, Zhizeng Luo, Tom Potter, Yingchun Zhang

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Effectiveness of a bacteriophage YZU_PF006 in controlling dairy spoilage caused by Pseudomonas fluorescens by Lei Yuan, Lili Ma, Yang Liu, Xinhai Yuan, Shuo Wang, Wenyuan Zhou, Zhenbo Xu, Zhenquan Yang

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Optomechanical Gyroscope Based on Micro-Hemispherical Shell and Optical Ring Resonators by Jamal N. A. Hassan, Wenyi Huang, Maoyuan Wang, Senyu Zhang, Guangjun Wen, Yongjun Huang

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Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model by Qinglong Zhang, Boyu Yang, Yanwen Zhu, Chen Guo, Chong Jiao, Anmin Cai

“…This prediction method provides a more feasible auxiliary intelligent decision-making method for TBM aided intelligent construction.…”
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Classification of the Traffic Status Subcategory with ETC Gantry Data: An Improved Support Tensor Machine Approach by Yan Zhao, Wenqi Lu, Yikang Rui, Bin Ran

“…Accurate and reliable traffic state identification is the prerequisite for developing intelligent traffic programs. With the improvement of intelligent traffic control measures, the traffic state of some highways has gradually stabilized. …”
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Off-line emergency communication method of power internet of things based on edge computing by Donghong FU, Dan LIU, Guijun SHI, Anxin WANG, Chunxue FAN, Haijun WANG, Yiying ZHANG

“…A new multi-mode node was designed for the emergency communication with the demand of electricity.The node had the multi-mode communication capability of the private network and the public network technology,which could switch smoothly in three modes:the power private network,the wireless Ad Hoc network and the wireless public network.Data were automatically uploaded to the multi-mode terminal,multi-mode terminal through the mode of rapid switching,with the public network resources to achieve rapid network recovery and continuous transmission of data to achieve off-line emergency communications.Meanwhile,an intelligent routing algorithm based on smoothness was proposed,and the three principles of edge network communication were defined.Through the edge calculation method,the calculation and updating of the smoothness were realized to ensure the intelligent,efficient and reliable operation of the edge network in the offline state.…”
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Real-Time Monitoring of High Voltage Switch Based on CAD by Long Di, Yong Xiao, Feng Hu, Yujian Liang, Jianmin Tan, Yimin You

“…In the process of online real-time monitoring of intelligent digital filter high-voltage switchgear, the mechanical state diagnosis of high-voltage circuit breaker is based on fully understanding the mechanical characteristics of each component of circuit breaker. …”
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Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization by Tinggui Chen, Renbin Xiao

“…Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga. …”
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River Contour Recognition and Extraction Algorithm Based on Kirsch Operator and Multi-level Threshold Segmentation by ZHOU Shaojun, SHE Hailong

“…The intelligent extraction accuracy of river contour from high-resolution remote sensing images under complex backgrounds is low.Thus,a method of combining the Kirsch operator with threshold segmentation is proposed to preprocess and pre-segment the gray images.Then,according to the morphological characteristics of the river,the image is morphologically processed to remove most of the background noise.Finally,the second threshold segmentation is conducted on the main area to realize accurate river contour recognition and extraction.The applicability of this method is proven by recognizing river samples in different terrain conditions.By employing objective evaluation indexes,the recognition accuracy of river area is verified to exceed 90%,which is much higher than the simple threshold segmentation method.This meets the needs of high-precision river channel extraction and provides references for intelligent and rapid extraction of river channel information.…”
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Self-Identification Algorithm for the Autonomous Control of Lateral Vibration in Flexible Rotors by Thiago Malta Buttini, Rodrigo Nicoletti

“…Intelligent machines are capable of recognizing their operational condition and take actions towards optimality through an autonomous processing of information. …”
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