Results 291 to 300 of about 2,238,851 (367)
A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities. [PDF]
Sensors (Basel)Govindharajalu Kaliyaperumal V +1 more
europepmc +1 more source
Advanced Materials, EarlyView.Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen +8 more
wiley +1 more source
A novel deep neural network-based technique for network embedding. [PDF]
PeerJ Comput SciBenbatata S +7 more
europepmc +1 more source
Photonic Nanomaterials for Wearable Health Solutions
Advanced Materials, EarlyView.This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
The canonical deep neural network as a model for human symmetry processing. [PDF]
iScienceBonneh YS, Tyler CW.
europepmc +1 more source
Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices
Advanced Materials, EarlyView.The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng +7 more
wiley +1 more source
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
Advanced Materials, EarlyView.This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin +7 more
wiley +1 more source
ADFCNN-BiLSTM: A Deep Neural Network Based on Attention and Deformable Convolution for Network Intrusion Detection. [PDF]
Sensors (Basel)Li B, Li J, Jia M.
europepmc +1 more source