Search Results - "Chen, Jichi"

Precise prediction of launch speed for athletes in the aerials event of freestyle skiing based on deep transfer learning by Jiang, Daqi, Wang, Hong, Chen, Jichi, Dong, Chuansheng

“…Automatically obtaining the launch speed are powerful guarantees for athletes in the aerials event of freestyle skiing to achieve good results. In most of the…”
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Author Correction: Precise prediction of launch speed for athletes in the aerials event of freestyle skiing based on deep transfer learning by Jiang, Daqi, Wang, Hong, Chen, Jichi, Dong, Chuansheng

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Molecular dynamics investigation on the thermal-oxidative aging and mechanical properties of nitrile butadiene rubber composites with molybdenum disulfide by Qian, Cheng, Chen, Jichi, Wang, Shijie, Wang, Mengjia, Song, Shuyuan

“…Rubber has a wide range of application prospects as an important material in the field of oil extraction and sealing rings. The effect of molybdenum disulfide…”
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Detecting Unfavorable Driving States in Electroencephalography Based on a PCA Sample Entropy Feature and Multiple Classification Algorithms by Zhang, Tao, Wang, Hong, Chen, Jichi, He, Enqiu

“…Unfavorable driving states can cause a large number of vehicle crashes and are significant factors in leading to traffic accidents. Hence, the aim of this…”
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Sample-Entropy-Based Method for Real Driving Fatigue Detection with Multichannel Electroencephalogram by Zhang, Tao, Chen, Jichi, He, Enqiu, Wang, Hong

“…Safe driving plays a crucial role in public health, and driver fatigue causes a large proportion of crashes in road driving. Hence, this paper presents the…”
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An innovative approach to detecting the freshness of fruits and vegetables through the integration of convolutional neural networks and bidirectional long short-term memory network by Yuan, Yue, Chen, Jichi, Polat, Kemal, Alhudhaif, Adi

“…Fruit and vegetable freshness testing can improve the efficiency of agricultural product management, reduce resource waste and economic losses, and plays a…”
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Study of Human Tacit Knowledge Based on Electroencephalogram Signal Characteristics by Zhang, Tao, Hua, Chengcheng, Chen, Jichi, He, Enqiu, Wang, Hong

“…Tacit knowledge is the kind of knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it. In the mineral grinding…”
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A study on the enhancement of the tribological properties of nitrile-butadiene rubber reinforced by nano-ZnO particles from an atomic view by He, Enqiu, Wang, Shijie, Tang, Liming, Chen, Jichi

“…Abstract In this study, three-layer molecular models of frictional pair containing nitrile-butadiene rubber matrix reinforced by nano-ZnO particle as the core…”
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Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks by Chen, Jichi, Wang, Hong, Hua, Chengcheng

“…This paper proposes a comprehensive approach to explore whether functional brain network (FBN) changes from the alert state to the drowsy state and to find out…”
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Exploring the fatigue affecting electroencephalography based functional brain networks during real driving in young males by Chen, Jichi, Wang, Hong, Wang, Qiaoxiu, Hua, Chengcheng

“…In recent years, a large proportion of traffic accidents are caused by driver fatigue. The brain has been conceived as a complex network, whose function can be…”
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Two-dimensional phase lag index image representation of electroencephalography for automated recognition of driver fatigue using convolutional neural network by Chen, Jichi, Wang, Shijie, He, Enqiu, Wang, Hong, Wang, Lin

“…•Phase lag index method avoids the volume conduction problem.•Deep learning combines the two steps of feature extraction and classification.•The link of…”
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Deep learning approach for detection of unfavorable driving state based on multiple phase synchronization between multi-channel EEG signals by Chen, Jichi, Cui, Yuguo, Wang, Hong, He, Enqiu, Alhudhaif, Adi

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Electroencephalography based fatigue detection using a novel feature fusion and extreme learning machine by Chen, Jichi, Wang, Hong, Hua, Chengcheng

“…The unsafe behaviors of operators in fatigue state not only lead to declines of work efficiency but also higher error rates and more injuries and even deaths…”
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A novel approach for cross-subject unfavorable driving state detection by cooperation between phase-based functional connectivity and convolutional neural network by Chen, Jichi, Wang, Hong, He, Enqiu

“…•Phase-based FC between all pairs of EEG channels is assessed using PTE.•The cooperation between model-driven and data-driven approaches is realized.•The…”
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A Transfer Learning-Based CNN Deep Learning Model for Unfavorable Driving State Recognition by Chen, Jichi, Wang, Hong, He, Enqiu

“…The detection of unfavorable driving states (UDS) of drivers based on electroencephalogram (EEG) measures has received continuous attention from extensive…”
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Convolutional neural network with transfer learning approach for detection of unfavorable driving state using phase coherence image by Chen, Jichi, Wang, Hong, Wang, Shjie, He, Enqiu, Zhang, Tao, Wang, Lin

“…•The combination of deep learning model and functional brain network is effective.•Using deep learning approach, there is no need for hand-crafted feature…”
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A fine-tuning deep residual convolutional neural network for emotion recognition based on frequency-channel matrices representation of one-dimensional electroencephalography by Chen, Jichi, Cui, Yuguo, Qian, Cheng, He, Enqiu

“…Emotion recognition (ER) plays a crucial role in enabling machines to perceive human emotional and psychological states, thus enhancing human-machine…”
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Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness by Chen, Jichi, Wang, Hong, Hua, Chengcheng, Wang, Qiaoxiu, Liu, Chong

“…A large number of traffic accidents due to driver drowsiness have been under more attention of many countries. The organization of the functional brain network…”
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The architecture of functional brain network modulated by driving during adverse weather conditions by Chen, Jichi, Wang, Shijie, He, Enqiu, Wang, Hong, Wang, Lin

“…Traffic accidents caused by adverse weather conditions have attracted the attention of many countries. Previous studies have focused on the driver’s response…”
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Recognizing drowsiness in young men during real driving based on electroencephalography using an end-to-end deep learning approach by Chen, Jichi, Wang, Shjie, He, Enqiu, Wang, Hong, Wang, Lin

“…•To the best of our knowledge, so far deep learning theory and convolutional neural network is first applied on raw multi-channel EEG signals for driver…”
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