Results 191 to 200 of about 9,277,012 (302)
SPCIRNet: Iterative Registration for Different Scales Point Clouds by Deep Neural Network
Xingzi Liu
openalex +1 more source
State-of-the-art in artificial neural network applications: A survey
Oludare Isaac Abiodun +5 more
semanticscholar +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
The Neural Network for Sign Language Comprehension. [PDF]
Terhune-Cotter B, Emmorey K.
europepmc +1 more source
The study develops elastin–fibrin scaffolds and evaluates angiogenesis using the chorioallantoic membrane (CAM) model. Advanced imaging with confocal microscopy and Indocyanine Green dye enables precise 3D quantification of vascular networks. Findings demonstrate superior microvessel visualization compared to micro‐CT using Microfil and Optiray 350 ...
Ece Melis Er +8 more
wiley +1 more source
Neural network modeling of psychoanalytic concepts. [PDF]
Levine DS +2 more
europepmc +1 more source
This study presents a microfluidic brain microvascular network‐on‐chip (BMVasChip) to investigate endothelial barrier dysfunction caused by flavivirus non‐structural protein 1 (NS1), including virus‐ and time‐dependent vascular damage, leakiness, and dysfunction.
Monika Rajput +5 more
wiley +1 more source
The Controllability of <i>Caenorhabditis elegans</i> Neural Network from Larva to Adult. [PDF]
Liu J, Zhao P, Wang G, Fang T, Yuan Y.
europepmc +1 more source
Medium-term water consumption forecasting based on deep neural networks
Adrián Gil Gamboa +3 more
openalex +1 more source
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 +11 more
wiley +1 more source

