Results 1 to 10 of about 62,910 (265)

AI‑driven photonic noses: from conventional sensors to cloud‑to-edge intelligent microsystems. [PDF]

Microsyst Nanoeng
Zhou H, Zhang H, Zhang R, Yuan X, Chang H.   +4 more
europepmc   +1 more source

Numerical Prediction on the Impact Resistance of UHMWPE Flexible Film Against Hypervelocity Particles. [PDF]

Polymers (Basel)
Liu H, Rao Z, Liu C, Wang H, Zhang J, Wang Y, Simonov V.   +6 more
europepmc   +1 more source

Co-Registration of UAV and Handheld LiDAR Data for Fine Phenotyping of Rubber Plantations with Complex Canopies. [PDF]

Plants (Basel)
Tan J, Chen H, Zhang K, Yang H, Wang X, Yang R, Hu G, Li S, Liu J, Wang X.   +9 more
europepmc   +1 more source

SynVectorDB: embedding-based retrieval system for synthetic biology parts. [PDF]

Database (Oxford)
Li H, Hu J, Song J, Zhou W.
europepmc   +1 more source

Estimating aqueous solubility and hygroscopicity of amino acid particles with COSMOtherm. [PDF]

Commun Chem
Li Z, Iyer S, Hyttinen N.
europepmc   +1 more source

The PanOryza pangene catalog of Asian cultivated rice. [PDF]

Genome Res
Contreras-Moreira B, Sharma E, Saraf S, Naamati G, Gupta P, Elser J, Chebotarov D, Chougule K, Lu Z, Wei S, Olson A, Tsang I, Lodha D, Zhou Y, Yu Z, Zhao W, Zhang J, Amberkar S, Sue-Ob K, Sun Z, Martin M, McNally KL, Ware D, Deutsch EW, Copetti D, Wing RA, Jaiswal P, Dyer S, Jones AR.   +28 more
europepmc   +1 more source

PLiSAGE: enhancing protein-ligand interaction prediction with multimodal surface and geometry encoding. [PDF]

Bioinformatics
Wang T, Qiao G, Wang G, Li Y.
europepmc   +1 more source

AI and Big Data in Oncology: A Physician-Centered Perspective on Emerging Clinical and Research Applications. [PDF]

Cancer Innov
Liu B, Shang Q, Li J, Yao S, Ouyang M, Wang Y, Luo S, Ouyang Q.   +7 more
europepmc   +1 more source

Design and research of a passively mixed microfluidic chip for copper ion detection. [PDF]

PLoS One
Geng Y, Song L, Wu J, Zhao W, Fu P, Liu Y, Jia L, Yuan Y.   +7 more
europepmc   +1 more source

Neighboring Alkali Cations as an Efficient Strategy for N₂ Activation: A DFT Analysis. [PDF]

Int J Mol Sci
Villa-Arpi JC, Guañuna R, Saucedo-Vazquez JP, Terencio T.   +3 more
europepmc   +1 more source