Results 171 to 180 of about 356,654 (249)

Gut decisions based on the liver: prediction of colorectal neoplasia using AI-based liver analysis of routine CT scans. [PDF]

Front Oncol
Hinterberger A, Bohn J, Trofimova D, Knabe N, Dettling J, Norajitra T, Isensee F, Betge J, Schönberg SO, Nörenberg D, Grosu S, Loges S, Floca R, Kather JN, Maier-Hein K, Grawe F.   +15 more
europepmc   +1 more source

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source

The Role of Artificial Intelligence in Modern Analytical Chemistry: Current Trends and Future Directions. [PDF]

Int J Anal Chem
Elagamy SH, Chanduluru HK, Obaydo RH, Lotfy HM.   +3 more
europepmc   +1 more source

Model‐Guided Design of Paper Membrane Architectures for Controlled Flow and Enhanced Diagnostic Sensitivity

Advanced Engineering Materials, EarlyView.
Geometrical modifications on nitrocellulose membranes can result in observable differences in signal intensity relative to a reference membrane (top and bottom left). Using two reference experiments, we have developed a theoretical model that can reproduce the experimentally observed flow changes and provide information on membrane parameters, e.g ...
Maria Dimaki, Lea Holritz, Winnie E. Svendsen   +2 more
wiley   +1 more source

A Guide to Constructing Indigenous Statistical Spaces for Prevention Science Research. [PDF]

Prev Sci
de la Sierra VQ.
europepmc   +1 more source

AI-informed set of predictive markers

AI-informed set of predictive markers for mental health trajectories in young ...
openaire   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Student Performance in Bitewing Caries Detection: Artificial Intelligence Versus Alternative E-learning. [PDF]

Int Dent J
Nagyová V, Blaňár D, Kybic J, Schwendicke F, Tichý A.   +4 more
europepmc   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source