Results 191 to 200 of about 166,926 (313)
INFERENCE MODEL OF COURSE DIRECTION ON ROAD NETWORK
Tetsuroh Nomura +2 more
openalex +2 more sources
Defining a robust biological prior from Pathway Analysis to drive Network Inference [PDF]
Marine Jeanmougin +2 more
openalex +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
KEGNI: knowledge graph enhanced framework for gene regulatory network inference. [PDF]
Li P, Li L, Nan J, Chen J, Sun J, Cao Y.
europepmc +1 more source
We present a fully printed aqueous zinc‐ion microbattery (ZnIB) enabled by graphene‐decorated zinc anode and printed MnO@NC cathode using sustainable aqueous‐based ink formulations. The printed 3D electrodes ensure uniform zinc deposition, low overpotential, and long‐term stability.
Nagaraju Goli +11 more
wiley +1 more source
Scaling up for end-to-end on-chip photonic neural network inference. [PDF]
Wu B +6 more
europepmc +1 more source
Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee +5 more
wiley +1 more source
DeepCE: a deep learning framework for correlation-enhanced gene regulatory network inference in single-cell RNA sequencing data. [PDF]
Wu Q, Dai X, Lou S, Wu S, Tian T.
europepmc +1 more source
With a charge‐ion coupling engineering strategy, a K+/vacancy disordered K0.5Mn0.8Co0.1Ti0.1O2 material has been designed. The targeted transition metal doping disrupts charge ordering and inducing K+/vacancy disordering, thereby enabling rapid K+ diffusion through interconnected channels and a stable solid‐solution reaction mechanism.
Yongfeng Jia +10 more
wiley +1 more source

