Self-supervised learning on graphs predicts non-coding RNA and disease associations. [PDF]
Wu Q, Tang S.
europepmc +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Integrated spatio-temporal modeling with hybrid graph convolutions and the graph fourier neural operator for traffic prediction. [PDF]
Hosseini SM +2 more
europepmc +1 more source
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
Graph attention and text semantics improve personalized recommendation. [PDF]
Dong J, Shen Z, Luo H, Lyu T, Gao W.
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
Accumulated local effects and graph neural networks for link prediction. [PDF]
Kaczyńska P, Sienkiewicz J, Ślęzak D.
europepmc +1 more source
A multi-dimensional feature aggregation network for electric vehicle charging demand prediction. [PDF]
Yu Y, He L, Yu Z, Tu Y, Jing X, Luo W.
europepmc +1 more source
Information flow optimization for adaptive neighbor selection graph embedding. [PDF]
Wu Y, Wen X, Chen W, Mu Y.
europepmc +1 more source
NTAC: Neuronal type assignment from connectivity. [PDF]
Schwartzman G +3 more
europepmc +1 more source

