Results 171 to 180 of about 4,404,768 (300)
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
Deep knowledge-driven multi-modal fusion for diagnosis and prognosis of SI-ARDS. [PDF]
Chen H +22 more
europepmc +1 more source
Retracted: Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning. [PDF]
Healthcare Engineering JO.
europepmc +1 more source
This paper investigates the application of a novel deep learning-based fusion algorithm designed to effectively integrate data from diverse modalities, including images, text, and audio. The core goal is to enhance data understanding and analysis capabilities by creating a unified representation.
openaire +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
2s-DAS: Two-Stream Diffusion with Multi-Modal Fusion for Temporal Action Segmentation. [PDF]
Li C +5 more
europepmc +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Digital twin-driven fault diagnosis of power substations by multi-modal fusion learning. [PDF]
Wu Y, Chen Y, Xiao T, Ding L.
europepmc +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey [PDF]
Multi-modal fusion is a fundamental task for the perception of an autonomous driving system, which has recently intrigued many researchers. However, achieving a rather good performance is not an easy task due to the noisy raw data, underutilized ...
Li, Yikang +5 more
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