Research on Tool Wear Prediction Method Based on CNN-ResNet-CBAM-BiGRU. [PDF]
Sun B, Wang H, Zhang J, Zhang L, Wu X.
europepmc +1 more source
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
XcepFusion for brain tumor detection using a hybrid transfer learning framework with layer pruning and freezing. [PDF]
Rastogi D +6 more
europepmc +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
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
Detection of Periapical Lesions Using Artificial Intelligence: A Narrative Review. [PDF]
Aloufi AS.
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
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
Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition. [PDF]
Waheed M, Xiong H, Tong K, Lau AYS.
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
Research on Seasonal Disease Warning Methods for Northern Winter Sheep Based on Ear-Base Temperature. [PDF]
Zhou J, Jiang R, Xie D, Shimamura T.
europepmc +1 more source

