Advanced Intelligent Systems, EarlyView.This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma +3 more
wiley +1 more source
Artifact removal from electroencephalograms using a hybrid BSS-SVM algorithm
, 2005 L. Shoker +2 more
openalex +2 more sources
DriverSub-SVM: a machine learning approach for cancer subtype classification by integrating patient-specific and global driver genes. [PDF]
BMC BioinformaticsSong J +5 more
europepmc +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Advanced Intelligent Systems, EarlyView.Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
The application of machine learning for infant cries classification and pathological cries detection: A systematic review. [PDF]
Sci ProgSirithepmontree S +2 more
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Implementasi Algoritma SVM dalam Memprediksi Penyakit Stroke
Alexsander +3 more
openalex +2 more sources
Plant Leaf Disease Detection Using SVM Technique
, 2019 Naveen Kishore Gattim
openalex +1 more source
Non-Destructive Detection of <i>Elasmopalpus lignosellus</i> Infestation in Fresh Asparagus Using VIS-NIR Hyperspectral Imaging and Machine Learning. [PDF]
FoodsRodríguez-León A +5 more
europepmc +1 more source