Spiking Neural Networks in Imaging: A Review and Case Study. [PDF]
Voudaskas M +4 more
europepmc +1 more source
MgF2 exhibits a speed‐dependent mechanoluminescence (ML) color distribution arising from distinct ML lifetimes, showing blue emission under slow sliding and multicolor emission under fast sliding. A promising method for evaluating ML lifetime is proposed based on the trailing effect. By synergistically integrating instantaneous and persistent ML with a
Shulong Chang +8 more
wiley +1 more source
Prospects and challenges of deep learning in gynecologic malignancies. [PDF]
Zhang Y, Qin Q.
europepmc +1 more source
Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu +4 more
wiley +1 more source
Unicorn: U-Net for sea ice forecasting with convolutional neural ordinary differential equations. [PDF]
Park J +5 more
europepmc +1 more source
AI‐Assisted Bioelectronics for Personalized Health Management
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong +6 more
wiley +1 more source
Vehicle Target Detection of Autonomous Driving Vehicles in Foggy Environments Based on an Improved YOLOX Network. [PDF]
Liu Z, Zhang H, Lin L.
europepmc +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Optimized reconstruction of undersampled Dixon sequences using new memory-efficient unrolled deep neural networks: HalfVarNet and HalfDIRCN. [PDF]
Martin S +6 more
europepmc +1 more source
TEC-CNN: Toward Efficient Compressing of Convolutional Neural Nets with Low-rank Tensor Decomposition [PDF]
Yifan Wang +5 more
openalex +1 more source

