Results 121 to 130 of about 6,853 (246)
A hybrid BiLSTM-transformer-GCN architecture with API fusion for adaptive transportation resource analytics. [PDF]
Javeed MS +4 more
europepmc +1 more source
Ergonomic Sponge Electrodes From Recycled PEDOT:PSS
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos +3 more
wiley +1 more source
Relational Modelling for Automotive Cybersecurity: Structural Transition and Graph-Topology-Based CAN Intrusion Detection. [PDF]
Khreasat MK, González GV.
europepmc +1 more source
sp2‐hybridized branched side chains are introduced as a new molecular design for NFAs, YBOV, inducing strong solution‐state pre‐aggregation. This pre‐aggregation enables universal seeding motifs, highly ordered film growth, and overcoming the intrinsic current–voltage trade‐off, achieving 19.67% efficiency via green‐solvent processing beyond descriptor‐
Seokhwan Jeong +14 more
wiley +1 more source
S2SWCLIP: semantic-optimized prompts with spatial-wavelet synergy for zero-shot anomaly detection. [PDF]
Zhang H, Wu C, Lu J, Jing M.
europepmc +1 more source
Asymmetric Multi‐Site Ion Exchange in Porous Carbon Electrodes
A lognormal‐distribution 2D EXSY NMR framework uncovers the full spectrum of ion dynamics in hierarchical porous carbons, bridging fast surface exchange and confined in‐pore transport—establishing structure–transport relationships for next‐generation energy storage, gas storage, and ion removal materials.
Henry R. N. B. Enninful +5 more
wiley +1 more source
DSE-YOLO11: Dynamic feature adaptation for key traffic element detection in complex road scenes. [PDF]
Chen Y +4 more
europepmc +1 more source
Metal‐halide perovskite solar cells offer high‐efficiency power for orbital missions but suffer from permanent proton‐induced degradation. This work identifies non‐ionizing energy loss (NIEL) as the primary driver of irreversible failure, inducing atomic displacements and microcracks in the high‐fluence regime. Through energy‐tuned mapping and scalable
Jangwon Byun +10 more
wiley +1 more source
Euclidean consistency-driven dual-layer information fusion framework for UAV-based traffic accident scene reconstruction. [PDF]
Xie Z, Xia W, He C, Qiu T.
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source

