Results 261 to 270 of about 23,355,349 (344)
By integrating with machine learning (ML), hydrogel‐ and ionogel‐based soft sensors are gaining human brain‐like capabilities to perceive, learn, and predict. This review summarizes their advances, focusing on ML‐powered applications such as handwriting/gesture/object/motion/speech recognition, health monitoring, food detection, and beyond.
Wenqing He +8 more
wiley +1 more source
MSDC: Aspect-level sentiment analysis model based on multi-scale dual-channel feature fusion. [PDF]
Lou X, Liu G, Xu Y.
europepmc +1 more source
This study explores a novel E‐tattoo made from PVBVA fibers coated with Ti3C2Tx MXene. The device is designed to harvest energy directly from the human body, providing power for itself. The research demonstrates the E‐tattoo's capability for charge storage and its potential for health monitoring through integrated ECG and EMG sensing, all within a ...
Ajay Pratap +16 more
wiley +1 more source
Enhancing museum visitor forecasting using deep learning and sentiment analysis: A transformer-based approach for sustainable management. [PDF]
Tian Z, Wang X, Wang Y, Lee JH.
europepmc +1 more source
Heart rate Encapsulation and Response Tool using Sentiment Analysis
B. Prabadevi +2 more
openalex +2 more sources
Cross‐Platform Biosensing of Immune Receptors Using Peptide‐Functionalized Graphene
A peptide‐functionalized graphene biosensor enables sensitive and selective detection of living immune cells. Targeting Formyl‐Peptide Receptor 2 (FPR2), the assay is demonstrated on model cells and primary human neutrophils. The same assay is applied to two complementary platforms: graphene‐enhanced surface plasmon resonance for optical benchmarking ...
Ahmar Hasnain +5 more
wiley +1 more source
Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis. [PDF]
Jaber A, Bahati I, Martínez P.
europepmc +1 more source

