Results 191 to 200 of about 9,277,012 (302)

State-of-the-art in artificial neural network applications: A survey

open access: yesHeliyon, 2018
Oludare Isaac Abiodun   +5 more
semanticscholar   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
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]

open access: yesLang Linguist Compass
Terhune-Cotter B, Emmorey K.
europepmc   +1 more source

Precise Quantification of Angiogenesis in 3D Biomaterials Using in Vitro CAM Models: Enhancing 3Rs in Research and Minimizing in Vivo Dependency

open access: yesAdvanced Functional Materials, EarlyView.
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]

open access: yesFront Syst Neurosci
Levine DS   +2 more
europepmc   +1 more source

Perfusable Brain Microvascular Network‐On‐Chip Model to Study Flavivirus NS1‐Induced Endothelial Dysfunction

open access: yesAdvanced Functional Materials, EarlyView.
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

Medium-term water consumption forecasting based on deep neural networks

open access: hybrid
Adrián Gil Gamboa   +3 more
openalex   +1 more source

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

open access: yesAdvanced 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   +11 more
wiley   +1 more source

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