Results 191 to 200 of about 1,699,128 (261)
Less for Better: A View Filter-Driven Graph Representation Fusion Network. [PDF]
Wang Y, Yang X, Liu K, Guo Q, Wang X.
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations. [PDF]
Ding Y +3 more
europepmc +1 more source
Physical Intelligence in Small‐Scale Robots and Machines
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley +1 more source
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation. [PDF]
Minoccheri C +6 more
europepmc +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Breast cancer classification based on microcalcifications using dual branch vision transformer fusion. [PDF]
Elumalai S, Rajendran S, Khalid M.
europepmc +1 more source
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source

