標題: Titlebook: Human Brain and Artificial Intelligence; Third International Xiaomin Ying Conference proceedings 2023 The Editor(s) (if applicable) and Th [打印本頁] 作者: 交叉路口 時間: 2025-3-21 17:25
書目名稱Human Brain and Artificial Intelligence影響因子(影響力)
書目名稱Human Brain and Artificial Intelligence影響因子(影響力)學科排名
書目名稱Human Brain and Artificial Intelligence網(wǎng)絡(luò)公開度
書目名稱Human Brain and Artificial Intelligence網(wǎng)絡(luò)公開度學科排名
書目名稱Human Brain and Artificial Intelligence被引頻次
書目名稱Human Brain and Artificial Intelligence被引頻次學科排名
書目名稱Human Brain and Artificial Intelligence年度引用
書目名稱Human Brain and Artificial Intelligence年度引用學科排名
書目名稱Human Brain and Artificial Intelligence讀者反饋
書目名稱Human Brain and Artificial Intelligence讀者反饋學科排名
作者: 貧困 時間: 2025-3-21 20:15
1865-0929 ld in?conjunction with IJCAI-ECAI 2022,?Vienna, Austria, on July 23, 2022.?.The 19 full papers presented were carefully reviewed and selected from 21 submissions. The papers present most recent research in the fields of?brain-inspired computing, brain-machine interfaces, computational neuroscience, 作者: 有組織 時間: 2025-3-22 03:32
Conference proceedings 2023s. The papers present most recent research in the fields of?brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-related health, neuroimaging, cognition and behavior, learning,?and memory, neuron modulation, and closed-loop brain stimulation..作者: 遺留之物 時間: 2025-3-22 04:53
Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Criticlect the data in multi-source domains to migrate with our target domain, and use the difference in loss both before and after the model to determine the quality of the data and whether it is retained. Extensive experiments on the representative benchmark demonstrate that our method performs favorably against the state-of-the-art approaches.作者: SIT 時間: 2025-3-22 10:21 作者: 性上癮 時間: 2025-3-22 13:23 作者: Archipelago 時間: 2025-3-22 20:27
Conference proceedings 2023unction with IJCAI-ECAI 2022,?Vienna, Austria, on July 23, 2022.?.The 19 full papers presented were carefully reviewed and selected from 21 submissions. The papers present most recent research in the fields of?brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-rela作者: dissent 時間: 2025-3-23 00:37
Classification of EEG Signals Based on GA-ELM Optimization Algorithmgenetic algorithm, and using the basic method of SVM algorithm and ELM comparison between the results and draw HHT and optimization algorithm of single collection of experiment acquisition signal has a significant effect, high classification rate can reach 85.3%.作者: Stress-Fracture 時間: 2025-3-23 05:23
A Mask Image Recognition Attention Network Supervised by Eye Movementsk image dataset as the supervision of network training. The proposed network fully learns the eye gaze region information to generate attention view. The results showed that classification performance improved 10.62% ~ 15.22%, especially in the small training dataset with high masking rate.作者: Conserve 時間: 2025-3-23 07:24 作者: 花費 時間: 2025-3-23 11:29
DSNet: EEG-Based Spatial Convolutional Neural Network for Detecting Major Depressive Disordertion performance with the accuracy of 91.69% via the leave-one-subject-out (LOSO) cross-validation strategy compared to other DL models. The experimental results demonstrate that DSNet can effectively extract information on spatial differences between depressed and normal individuals and could be a 作者: 撕裂皮肉 時間: 2025-3-23 14:45
SE-1DCNN-LSTM: A Deep Learning Framework for EEG-Based that the weights of Fp1, Fp2, O1 and O2 electrodes were slightly greater. It demonstrated that the prefrontal lobe and occipital lobe may be possibly important brain regions for MDD and BD recognition. Overall, this study shows the effectiveness of the proposed model in EEG-based automatic diagnosis作者: 搬運工 時間: 2025-3-23 21:04 作者: SUGAR 時間: 2025-3-24 00:16
Salient Object Detection with Fusion of RGB Image and Eye Tracking Datadata and the RGB image features. (3) The comparative experiments on the two datasets show that the performance of the proposed method exceeds that of the mainstream algorithms and can achieve effective SOD.作者: 畢業(yè)典禮 時間: 2025-3-24 04:25 作者: JIBE 時間: 2025-3-24 09:45
Brain Network Analysis of Hand Motor Execution and Imagery Based on Conditional Granger Causalityleft MA, left MA and left SA, and left SA and right SA for both finger motor execution and motor imagination, and the most important connection in motor function was from premotor area to primary motor area.作者: VERT 時間: 2025-3-24 12:39
A Hybrid Brain-Computer Interface for?Smart Car Controled that the hybrid BCI system achieved an average accuracy of 97.65%, an average information translate rate (ITR) of 43.50 bit/min, and an average false positive rate (FPR) of 0.70 event/min, thus demonstrating the effectiveness of our proposed system.作者: neutrophils 時間: 2025-3-24 18:16
A Spiking Neural Network for Brain-Computer Interface of Four Classes Motor Imagery experiment on the publicly released dataset achieves the accuracy that is comparable to the previous work of one-Dimension convolution neural network (1D-CNN). Meanwhile, the number of parameters of proposed network is about 1/10 of that in 1D-CNN. This study reveals the great potential of the SNN 作者: 先驅(qū) 時間: 2025-3-24 19:58
Brain Controlled Manipulator System Based on Improved Target Detection and Augmented Reality Technolcts participating in the grasping experiment, according to the experimental results, the grasping accuracy of the brain-controlled manipulator system is 92%, which verifies the effectiveness and portability of the system.作者: 背帶 時間: 2025-3-25 02:47
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Reality the red one on the blue and black backgrounds, while the red stimulus outperformed the white one on the green and white backgrounds. The color contrast ratio (CCR) between the background and stimulus colors correlated positively with SSVEP recognition accuracy. In mixed reality, SSVEP-based BCIs mu作者: ungainly 時間: 2025-3-25 06:56
eme werden daher bewu?t vereinfacht· und dem Zweck des Buches entsprechend besonders praxisnah dargestellt. Viele durch- gerechnete Beispiele erl?utern und vertiefen die Darstellung; eine sehr gro?e Zahl von übungsaufgaben, deren L?sungen am Ende des Buches gebracht werden, soll zur sicheren Handhab作者: savage 時間: 2025-3-25 10:06
Ziyu Zhao,Hui Shen,Dewen Hu,Kerang ZhangBauteile untersucht, ebenso Temperaturdehnungen und andere Verformungen der Bauteile sowie die Stabilit?t der Bauwerke. Für Stahlbetonbauteile sei auf das Buch "Stahlbetonbau - Bemessung, Konstruktion, Ausführung" verwiesen. Zum Verst?ndnis der Berechnungen und Bemessungen sind die einzelnen Problem作者: 極小量 時間: 2025-3-25 15:24 作者: Obstruction 時間: 2025-3-25 17:55 作者: HILAR 時間: 2025-3-25 22:02
Weiguo Zhang,Lin Lu,Abdelkader Nasreddine Belkacem,Jiaxin Zhang,Penghai Li,Jun Liang,Changming Wang,作者: ANTI 時間: 2025-3-26 01:02 作者: 使長胖 時間: 2025-3-26 06:26
Yiling Huang,Banghua Yang,Zhaokun Wang,Yuan Yao,Mengdie Xu,Xinxing Xia作者: COST 時間: 2025-3-26 11:37 作者: Medicare 時間: 2025-3-26 16:33 作者: 似少年 時間: 2025-3-26 20:41 作者: 衣服 時間: 2025-3-26 22:45 作者: 國家明智 時間: 2025-3-27 03:04
Min Xia,Yihan Wu,Daqing Guo,Yangsong Zhanghnungen und andere Verformungen der Bauteile sowie die Stabilit?t der Bauwerke. Für Stahlbetonbauteile sei auf das Buch "Stahlbetonbau - Bemessung, Konstruktion, Ausführung" verwiesen. Zum Verst?ndnis der Berechnungen und Bemessungen sind die einzelnen Problem978-3-322-91791-1作者: 啞巴 時間: 2025-3-27 05:16
Hongyuan Xuan,Jing Liu,Penghui Yang,Guanghua Gu,Dong Cuihnungen und andere Verformungen der Bauteile sowie die Stabilit?t der Bauwerke. Für Stahlbetonbauteile sei auf das Buch "Stahlbetonbau - Bemessung, Konstruktion, Ausführung" verwiesen. Zum Verst?ndnis der Berechnungen und Bemessungen sind die einzelnen Problem978-3-322-91791-1作者: 最有利 時間: 2025-3-27 12:58 作者: monogamy 時間: 2025-3-27 16:04 作者: 糾纏,纏繞 時間: 2025-3-27 19:10 作者: heterodox 時間: 2025-3-28 00:58 作者: 突襲 時間: 2025-3-28 04:25 作者: tenosynovitis 時間: 2025-3-28 06:23
Classification of EEG Signals Based on GA-ELM Optimization Algorithmue of subjects.?These problems seriously affect the performance of the whole BCI system.?To solve this problem, this paper designed the experimental paradigm of imagination and observation, and built the eeg acquisition platform by combining UNITY and MATLAB.?Ten healthy subjects participated in the作者: MAIM 時間: 2025-3-28 13:01 作者: 凹室 時間: 2025-3-28 18:03 作者: PANG 時間: 2025-3-28 19:25
DFC-SNN: A New Approach for the Recognition of Brain States by Fusing Brain Dynamics and Spiking Neuever, how to efficiently apply brain dynamics for the recognition of brain states is still unclear and need more investigations. The spiking neural network?(SNN) is a promising model with better performance in the pattern recognition of event streams. Thus, this paper proposes an algorithm framework作者: Cursory 時間: 2025-3-29 02:57 作者: Lacunar-Stroke 時間: 2025-3-29 04:01 作者: 無動于衷 時間: 2025-3-29 10:10 作者: 預感 時間: 2025-3-29 12:19 作者: exigent 時間: 2025-3-29 19:02
Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Criticmains are related to the target domain, the difference of data distribution between source and target domains may lead to negative transfer. Therefore, selecting the high-quality source data is conducive to mitigate the problem. However, the existing methods select the data with uniform criteria, ne作者: 越自我 時間: 2025-3-29 23:34
Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Taskse source and the target tasks, the greater the performance improvement by transfer learning. In neuroscience, the relationship between cognitive tasks is usually represented by similarity of activated brain regions or neural representation. However, no study has linked transfer learning and neurosci作者: –LOUS 時間: 2025-3-30 03:20 作者: faddish 時間: 2025-3-30 05:37
A Hybrid Brain-Computer Interface for?Smart Car Controlre few studies on controlling a car by multimodality due to its difficulty in the current research. This paper proposes a hybrid BCI control system based on electroencephalography (EEG), electrooculography (EOG), and gyroscope signals to address this challenge. The user can control the start, stop, 作者: 你敢命令 時間: 2025-3-30 11:00 作者: CAMEO 時間: 2025-3-30 15:00 作者: interior 時間: 2025-3-30 18:16 作者: 粗糙 時間: 2025-3-30 21:34
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Realityad-mounted displays (MRHMDs) have the potential of improving the practical applications for BCIs. However, it’s unclear whether the visual stimulus color designed for traditional BCIs still works in mixed reality. Therefore, this study developed a 10-command SSVEP-BCI system in mixed reality using H作者: CODE 時間: 2025-3-31 03:15 作者: OASIS 時間: 2025-3-31 06:37 作者: GET 時間: 2025-3-31 09:13 作者: predict 時間: 2025-3-31 15:47 作者: 反感 時間: 2025-3-31 20:24
