Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages. [PDF]
Front Comput Neurosci, 2023 Zheng S +5 more
europepmc +1 more source
A Graph Convolution Neural Network-Based Framework for Communication Network K-Terminal Reliability Estimation [PDF]
, 2022 Zi-xuan Zhang +3 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. [PDF]
Inf Process Med Imaging, 2023 Huang J, Chung MK, Qiu A.
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Fast Determination of Optimal Transmission Rate for Wireless Blockchain Networks: A Graph Convolutional Neural Network Approach. [PDF]
Sensors (Basel), 2023 Ju Y +5 more
europepmc +1 more source
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction [PDF]
, 2022 Naghmeh Shafiee Roudbari +3 more
openalex +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network. [PDF]
Multimed Tools Appl, 2023 Pati SK +4 more
europepmc +1 more source
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective [PDF]
Zhang, Ning +4 more
openalex +1 more source