Results 151 to 160 of about 10,312 (257)
A Contrastive Dual-Task Framework for Few-Shot Traffic Classification in IoT Networks. [PDF]
Lu Z, Chen M, Cui S, Zhao B, Zheng Y.
europepmc +1 more source
TIPE1m NPs nanoparticles restore TIPE1 expression, promote RAB7A ubiquitination and degradation, suppress autophagic flux, and resensitize paclitaxel‐resistant triple‐negative breast cancer to therapy. ABSTRACT Acquired paclitaxel (PTX) resistance remains a major obstacle in triple‐negative breast cancer (TNBC) treatment.
Wei Hu +9 more
wiley +1 more source
IndiVNet A region adaptive semantic image segmentation for autonomous driving in unstructured environments. [PDF]
Chakraborty P +3 more
europepmc +1 more source
Maternal exercise (ME) increases apelin abundance across maternal and fetal tissues and is associated with improved fetal osteogenesis under POLG mutation‐induced mitochondrial dysfunction. Apelin‐APJ signaling is linked to enhanced mitochondrial function, Akt phosphorylation, and ATF4‐RUNX2 association, supporting coordinated fetal bone remodeling ...
Song Ah Chae +5 more
wiley +1 more source
IoTDI-ImbS: A Precise Identification Model and Algorithm for IoT Devices from Network Traffic. [PDF]
Qian J, Zhao S, Wang Z, Li Z.
europepmc +1 more source
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Urban road surface crack detection based on U-net and ResNeXt network. [PDF]
Qiao J, Wang H, Zhou Z, Meng Y, Gong M.
europepmc +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Dynamic background motion object semantic segmentation algorithm based on generative adversarial network and transformer collaboration. [PDF]
Li Y +10 more
europepmc +1 more source
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source

