GIHP: Graph convolutional neural network based interpretable pan-specific HLA-peptide binding affinity prediction. [PDF]
Su L, Yan Y, Ma B, Zhao S, Cui Z.
europepmc +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Improving plant miRNA-target prediction with self-supervised k-mer embedding and spectral graph convolutional neural network. [PDF]
Zhang W +6 more
europepmc +1 more source
MR-GCN:A Graph Convolutional Neural Network Approach for Decoding EEG Motor Imagery Signals
Xiaojing Hao, Xiaoqi Lu, Dahua Yu
openalex +1 more source
Device‐Level Implementation of Reservoir Computing With Memristors
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
Essential genes identification model based on sequence feature map and graph convolutional neural network. [PDF]
Hu W, Li M, Xiao H, Guan L.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Deciphering BRCAness Phenotype in Cancer: A Graph Convolutional Neural Network Approach with Layer-wise Relevance Propagation Analysis [PDF]
Jingyu Yang +4 more
openalex +1 more source

