Results 171 to 180 of about 1,429,068 (340)
This study uses single‐nucleus RNA sequencing and spatial transcriptomics to investigate penile squamous cell carcinoma (PSCC). It reveals that PSCC tumor cells mimic normal penile epithelium differentiation, independent of HPV status. The Tum_1 subtype shows basal stem‐like characteristics and promotes invasiveness. HPV‐positive basal stem‐like tumors
Hongjian Song+37 more
wiley +1 more source
People Re-identification using Deep Convolutional Neural Network
Guanwen Zhang+3 more
openalex +1 more source
Human skin inherently forms a body‐coupled triboelectric circuit that enables the generation of triboelectric charges through contact between the skin surface and various materials. Integrated with an on‐finger, substrate‐free microfiber electrode, the material‐specific and personalized triboelectric signals can be imperceptibly collected for machine ...
Junting Huang+7 more
wiley +1 more source
Fault Identification Model Using Convolutional Neural Networks with Transformer Architecture. [PDF]
Fan Y, Dang Y, Guo Y.
europepmc +1 more source
Deep convolutional neural networks for automatic identification of epileptic seizures in infrared and depth images [PDF]
Felix Achilles+6 more
openalex +1 more source
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li+5 more
wiley +1 more source
Dysarthria Severity detection Using Recurrent and Convolutional Neural Networks
The diagnosis and monitoring of dysarthria, a speech disorder caused by neuro-motor problems that affect articulation, depend on a precise evaluation of its severity. When creating automated systems to identify and categorize dysarthric speech, accurate
Amina Hamza, Djamel Addou
doaj
A review of lightweight convolutional neural networks for ultrasound signal classification. [PDF]
Zhang B+5 more
europepmc +1 more source
Learning Compact Convolutional Neural Networks with Nested Dropout
Chelsea Finn+2 more
openalex +2 more sources
A full‐range proximity‐tactile sensing module is developed for safe operation of surgical robots, which performs multimodal fusion perception through ultrasonic sensor for long‐range proximity detection, capacitive sensor for close‐range proximity sensing, and triboelectric sensor for tactile sensing.
Dongsheng Li+8 more
wiley +1 more source