Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Real space iterative reconstruction for vector tomography (RESIRE-V). [PDF]
Pham M, Lu X, Rana A, Osher S, Miao J.
europepmc +1 more source
Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis +7 more
wiley +1 more source
Generative priors-constraint accelerated iterative reconstruction for extremely sparse photoacoustic tomography boosted by mean-reverting diffusion model: Towards 8 projections. [PDF]
Lian T +9 more
europepmc +1 more source
Enhancing optoacoustic mesoscopy through calibration-based iterative reconstruction. [PDF]
Hofmann UAT +5 more
europepmc +1 more source
Seamlessly Machine‐Knitted Multi‐Sensor Garment to Monitor and Quantify Dynamic Upper Body Movement
A seamlessly machine‐knitted multi‐sensor garment, that can detect multiplanar dynamic shoulder and elbow motion, is demonstrated. The garment has four strain sensors connected to a circuit board via flexible interconnects, with all components integrated into the fabric in a single manufacturing step.
Ying Yi Tan +6 more
wiley +1 more source
Evaluation of low-dose chest scans for coronary artery calcium scoring using photon-counting computed tomography with different slice thicknesses and iterative reconstruction levels. [PDF]
Zhao YE +8 more
europepmc +1 more source
A holographic sensing‐integrated deep learning platform enables real‐time, label‐free assessment of red blood cell (RBC) quality during storage. By combining diffusion model‐based data augmentation and self‐supervised pretraining, the framework achieves high segmentation accuracy with minimal data.
Seonghwan Park +3 more
wiley +1 more source

