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Titlebook: Cognitive Systems and Information Processing; 7th International Co Fuchun Sun,Angelo Cangelosi,Bin Fang Conference proceedings 2023 The Edi

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41#
發(fā)表于 2025-3-28 17:08:15 | 只看該作者
Inchworm-Gecko Inspired Robot with Adhesion State Detection and CPG Controlustment is completed by combining the adhesion state detection information. Finally, a prototype of IGIR is made. Experiments of the prototype verify the feasibility of the proposed adhesion state detection and CPG control model of IGIR. The maximum moving speed of IGIR is 24?cm/min. Over all, this
42#
發(fā)表于 2025-3-28 19:58:17 | 只看該作者
Coherence Matrix Based Early Infantile Epileptic Encephalopathy Analysis with?ResNet decreased significantly in the . band during seizures. And the coherence feature in the . band combined with the ResNet18-based seizure detection model achieved an accuracy of 91.86%. It is believed that changes in the . band can be considered as a biomarker of seizure cycle changes in EIEE syndrom
43#
發(fā)表于 2025-3-29 00:11:24 | 只看該作者
44#
發(fā)表于 2025-3-29 06:48:19 | 只看該作者
45#
發(fā)表于 2025-3-29 08:03:34 | 只看該作者
Incremental Quaternion Random Neural Networksimensional chaotic system regression, aircraft trajectory tracking, face and image recognition are conducted to show the effectiveness of IQ-ELM and IAQ-ELM. Comparisons to two popular quaternion RNNs, Schmidt NN (SNN) and random vector functional-link net (RVFL), are also provided to show the feasi
46#
發(fā)表于 2025-3-29 13:22:03 | 只看該作者
47#
發(fā)表于 2025-3-29 16:44:40 | 只看該作者
Dairy Cow Individual Identification System Based on Deep Learningure test set. The accuracy of the Resnet101-based individual classification network was 99.61% on the training set and 98.75% on the validation set, surpassing that of VGG16, GoogLeNet, ResNet34, and other networks. The study’s suggested individual recognition model outperformed the combined effect
48#
發(fā)表于 2025-3-29 22:36:58 | 只看該作者
49#
發(fā)表于 2025-3-30 01:31:55 | 只看該作者
Luisa Meroni,Andrea Gualmini,Stephen Crainr is modeled and mounted in the gripper. A series of experiments demonstrate that the adhesion becomes more stable and the adhesion force is increased by more than 20% with the designed connector. The negative pressure-actuation adhesive gripper designed in this paper can achieve reliable picking an
50#
發(fā)表于 2025-3-30 08:06:58 | 只看該作者
Basics of Content Representation,ustment is completed by combining the adhesion state detection information. Finally, a prototype of IGIR is made. Experiments of the prototype verify the feasibility of the proposed adhesion state detection and CPG control model of IGIR. The maximum moving speed of IGIR is 24?cm/min. Over all, this
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